CN103297179A - Method and device for generating channel quality indicator - Google Patents

Abstract

The invention discloses a method and device for generating a channel quality indicator. The method includes an inner loop processing process and/or an outer loop processing process. In the inner loop processing process, a predicted value of a signal to noise ratio can be acquired according to a measured value of the signal to noise ratio and a change rule of the signal to noise ratio, and then a first CQI value can be acquired. In the outer loop processing process, a CQI offset is acquired according to the relationship between the size of an estimated value of a block error rate and the size of a threshold value of the block error rate. A second CQI value can be acquired according to the first CQI value and the CQI offset. Besides, a modulation method can be selected to finish a complete CQI report. With the method, channel quality at the moment when the CQI report becomes valid can be better matched, the block error rate can be effectively controlled, therefore, feedback gain of the CQI can be greatly improved, and the throughput rate and service delay of a terminal can be obviously improved.

Description

A kind of method and apparatus that generates the channel quality indication

Technical field

The present invention relates to communication technical field, particularly a kind of method and apparatus that generates the channel quality indication.

Background technology

According to the 3GPP protocol requirement, when having downlink data to send in system, Node B (B node, be the base station) at first at descending shared control signal channel, for example (High Speed Shared Control HS-SCCH), sends descending scheduling and control information at High-Speed Shared Control Channel.

Then, (High Speed Downlink Shared Channel, HS-DSCH) resource sends to terminal to the scheduling high speed down shared channel.

The resource that terminal is authorized according to HS-SCCH and the timing relationship of HS-DSCH, receive the HS-DSCH channel resource and measure the channel quality indication (Channel quality indicator, CQI).

About the generation of CQI, generally all is according to the SNR of HS-DSCH Traffic Channel or the measured value of SIR, search the signal to noise ratio rate tables and obtain this SNR or SIR corresponding code rate, and obtain according to the resource situation of current HS-DSCH.

According to the 3GPP agreement, carry out purpose that CQI estimates and be that (Block Error Rate BLER) is not more than under 10% the prerequisite and obtains maximum single transmission throughput at the transmission channel Block Error Rate.

Wherein, the single transmission throughput=(1-BLER) * RTBS,

RTBS is recommended the transmission block size by user equipment to report CQI.

CQI report corresponding to a HS-DSCH, subscriber equipment (User Equipment, UE) should be in available high-speed shared information channel (High Speed Shared Information channel, HS-SICH) upward transmission subsequently of HS-DSCH transmission.

Fig. 1 shows a kind of sequential relationship schematic diagram.The indicated HS-SCCH2 of black dotted lines among the figure is corresponding with HS-DSCH2, and the CQI that obtains on the HS-DSCH2 is reported in HS-SICH1 and goes up and send.When the base station utilizes this CQI report to carry out scheduling of resource, should be the soonest on HS-SCCH4, and the corresponding HS-DSCH4 of HS-SCCH4 than generate the CQI report based on HS-DSCH2 late two subframes.In other words, the moment that obtains the CQI report at HS-DSCH2 is that the CQI report generates constantly, comes into force constantly for the CQI report in the moment that HS-SCCH4 utilizes this CQI report to carry out scheduling of resource.This CQI report comes into force constantly and the CQI report generates the CQI time delay that has two subframes between the moment.

In Fig. 1, the CQI time delay is two subframes.And at some in particular cases, the moment that the base station uses CQI to report can be more late, so the CQI time delay may be greater than two subframes.

The present inventor furthers investigate above method, finds that there is following problem at least in said method:

In the prior art, remove to generate code check according to the channel quality measurements that current HS-DSCH go up to obtain, obtain CQI then and report.Since this CQI report institute based on the come into force channel quality in the moment of channel quality and CQI report different, so be unfavorable for satisfying the condition of single transmission throughput maximum.

That is to say that prior art do not consider the CQI time delay, generate CQI and report in the n subframe, carry out scheduling of resource and use this report in the n+D subframe.But the channel quality of n+D subframe and the channel quality of n subframe may be inconsistent, are unfavorable for satisfying the condition of single transmission throughput maximum.

Specifically, the actual channel quality of n+D subframe might be better than the channel quality of n subframe, also might be poor.If the signal to noise ratio of n+D subframe greater than the signal to noise ratio of n subframe, can cause the CQI that reports less than normal, and too small CQI reports meeting influence throughput; If the signal to noise ratio of n+D subframe less than the signal to noise ratio of n subframe, can cause the CQI that reports bigger than normal so, and excessive CQI reports and can cause HS-DSCH demodulation Block Error Rate height, and then causes the low and system's instability of speed.

Summary of the invention

The present inventor find to exist in the above-mentioned prior art CQI report institute based on channel quality and CQI report the different problem of channel quality in the moment of coming into force, and at this problem a kind of new technical scheme has been proposed, obtain channel in the CQI report signal-to-noise ratio to predict value constantly that comes into force.

According to an aspect of the present invention, provide a kind of method that generates the channel quality indication.This method comprises: steps A, according to the current subframe that receives from channel namely before the signal to noise ratio of n subframe and the current subframe from the signal to noise ratio of m subframe of channel reception, obtain the Changing Pattern of the signal to noise ratio of this channel; Step B according to the Changing Pattern of the signal to noise ratio that obtains, obtains the signal-to-noise ratio to predict value of n+D subframe of this channel.Wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

Preferably, the Changing Pattern of the signal to noise ratio of channel can be the signal to noise ratio random fluctuation, perhaps can or continue for the signal to noise ratio sustainable growth to descend.

Step B can comprise: according to the Changing Pattern of the signal to noise ratio of channel, select and the corresponding signal-to-noise ratio to predict pattern of this Changing Pattern; When signal to noise ratio current subframe and before m subframe sustainable growth or when continuing to descend, utilize first predictive mode acquisition signal-to-noise ratio to predict value.This first predictive mode is according to current subframe and the signal to noise ratio of m subframe before, obtain the weighted average of the signal to noise ratio variable quantity of adjacent sub-frame, and obtain the signal-to-noise ratio to predict value of described n+D subframe according to this weighted average, perhaps, prediction is changed to the pace of change of the signal to noise ratio of described n+D subframe from the signal to noise ratio of current subframe, and obtains the signal-to-noise ratio to predict value of n+D subframe according to this pace of change.

When signal to noise ratio current subframe and before during m subframe random fluctuation, can utilize second predictive mode acquisition signal-to-noise ratio to predict value.Second predictive mode be with current subframe and before the mean value of the signal to noise ratio of m subframe as the signal-to-noise ratio to predict value of n+D subframe of this channel; Perhaps, with current subframe and before the signal to noise ratio of m subframe carry out smothing filtering, and with the signal to noise ratio smooth value that the obtains signal-to-noise ratio to predict value as n+D subframe of this channel.

Preferably, select the step of signal-to-noise ratio to predict pattern to comprise:

The statistical forecast success rate, the probability of this success rate prediction in the success rate prediction statistical window, detecting the signal to noise ratio sustainable growth or continuing to descend.

With this success rate prediction and the first success rate threshold T h1 and second success rate threshold T h2 size relatively.Wherein, the first success rate threshold value is greater than the second success rate threshold value.

When this success rate prediction during greater than the first success rate threshold value, select first predictive mode to handle.When success rate prediction during less than the second success rate threshold value, select second predictive mode to handle.

When this success rate prediction is between the first success rate threshold value and the second success rate threshold value, use the signal to noise ratio of current subframe as the signal-to-noise ratio to predict value after a plurality of subframes of channel,

Wherein, 0.3≤Th1≤0.5,0.12≤Th2≤0.25.

Preferably, the first success rate threshold value can be 0.2 for 0.4, the second success rate threshold value.

The step of preferably, statistical forecast success rate can comprise:

For each subframe in the success rate prediction statistical window, judge the whether sustainable growth or continue decline of signal to noise ratio from m subframe before to this subframe.If then this subframe is measurable, otherwise this subframe is unpredictable.

This success rate prediction is the ratio of subframe sum in the number of the measurable subframe in the success rate prediction statistical window and the described window.This success rate prediction statistical window can be sliding window.

Alternatively, the step of utilizing first predictive mode to obtain the signal-to-noise ratio to predict value can comprise:

Utilize current subframe and before the signal to noise ratio changing value of adjacent sub-frame in m subframe, and by following signal-to-noise ratio to predict formula, obtain the current subframe signal-to-noise ratio to predict value of D subframe afterwards:

$\mathrm{SNR}(\hat{n}+D)=\mathrm{snr}\left(n\right)+[k_1,k_2,...,k_j,...,k_m]\×\left[\begin{array}{c}\mathrm{\Δ}{\mathrm{snr}}_1\\ \mathrm{\Δ}{\mathrm{snr}}_2\\ ...\\ \mathrm{\Δ}{\mathrm{snr}}_j\\ ...\\ \mathrm{\Δ}{\mathrm{snr}}_m\end{array}\right]\×D\×\mathrm{\γ},$ Wherein,

Δsnr ₁＝snr(n)-snr(n-1)，

Δsnr ₂＝snr(n-1)-snr(n-2)，

…

Δsnr _j＝snr(n-j+1)-snr(n-j)，

…

Δsnr _m＝snr(n-m+1)-snr(n-m)，

M is any positive integer, and snr (n) is the signal to noise ratio of current subframe, and snr (n-j) is the current subframe signal to noise ratio of j subframe before, k _jBe Δ snr _jWeight coefficient, 0≤k _j≤ 1, and

γ is for the prediction modifying factor, as Δ snr _jAll greater than 0 o'clock, γ was the arithmetic number less than 1, as Δ snr _jAll less than 0 o'clock, γ was the arithmetic number greater than 1.

Preferably, as Δ snr _jAll greater than 0 o'clock, γ=0.9.As Δ snr _jAll less than 0 o'clock, γ=1.1.

Preferably, obtain weight coefficient by the following method adaptively:

Set a plurality of candidate's weight coefficient groups.According to the signal-to-noise ratio to predict formula, utilize n-D-m subframe to signal to noise ratio and above-mentioned a plurality of candidate's weight coefficient group of n-D subframe, obtain the i.e. a plurality of signal-to-noise ratio to predict values of n subframe of current subframe.In a plurality of signal-to-noise ratio to predict values, select and the immediate signal-to-noise ratio to predict value of the signal-to-noise ratio measurements of current subframe.With the weight coefficient group of the corresponding candidate's weight coefficient of selected signal-to-noise ratio to predict value group as current subframe.

Preferably, when m=3, three weight coefficients are respectively: k ₁=0.40, k ₂=0.35, k ₃=0.25.

Alternatively, in described first predictive mode, the step that obtains the signal-to-noise ratio to predict value according to the pace of change of signal to noise ratio can comprise:

Utilize current subframe and before the signal to noise ratio changing value of adjacent sub-frame in m subframe, and obtain the current subframe predicted value of the signal to noise ratio of D subframe afterwards according to following signal-to-noise ratio to predict formula,

$\mathrm{SNR}(\hat{n}+D)=\mathrm{snr}\left(n\right)+\mathrm{\Δsnr},$

Wherein, Δ snr=A Δ ²+ B Δ+C, Δ=snr (n)-snr (n-1), coefficient A, B and C obtain according to the signal to noise ratio of a plurality of subframes before this subframe and by following equation:

$\left\{\begin{array}{c}\mathrm{snr}\left(n\right)-\mathrm{snr}(n-D)=A{(\mathrm{snr}\left(n\right)-\mathrm{snr}(n-1))}^2+B(\mathrm{SNR}\left(n\right)-\mathrm{snr}(n-1))+C\\ \mathrm{snr}(n-1)-\mathrm{snr}(n-D-1)=A{(\mathrm{snr}(n-1)-\mathrm{snr}(n-2))}^2+B(\mathrm{snr}(n-1)-\mathrm{snr}(n-2))+C\\ \mathrm{snr}(n-2)-\mathrm{snr}(n-D-2)=A{(\mathrm{snr}(n-2)-\mathrm{snr}(n-3))}^2+B(\mathrm{snr}(n-2)-\mathrm{snr}(n-3))+C\end{array}\right.$

Preferably, the step that signal to noise ratio is carried out smothing filtering can comprise:

Utilize filter to current subframe and before the signal to noise ratio of m subframe carry out linear smoothing filtering and handle or carry out the logarithm The disposal of gentle filter, the smooth value of signal to noise ratio is:

$\widetilde{\mathrm{SNR}}\left(n\right)=\mathrm{snr}\left(n\right)\×\mathrm{\α}+\widetilde{\mathrm{SNR}}(n-1)\×(1-\mathrm{\α}),$

Wherein, snr (n) is the signal-to-noise ratio measurements of current subframe, and α is smoothing factor, 0≤α≤1.

Preferably, the span of smoothing factor can be 1/8≤α≤1/2.

Preferably, this method also comprises:

Step C according to the corresponding relation of signal-to-noise ratio to predict value and code check, obtains the code check corresponding with described signal-to-noise ratio to predict value.

Step D according to the scheduling resource quantity of this code check and channel, obtains channel quality indication sequence number CQI index.

Alternatively, step C can utilize signal to noise ratio code check formula, calculates the code check corresponding with described signal-to-noise ratio to predict value.

Alternatively, step C also can be with signal-to-noise ratio to predict value substitution signal to noise ratio code check formula, thereby calculates the code check corresponding with the signal-to-noise ratio to predict value.

Preferably, signal to noise ratio code check formula obtains by the following method:

By Computer Simulation, obtain to make the Block Error Rate mean value of throughput maximum.Block error probability desired value is made as this Block Error Rate mean value.According to described block error probability desired value, acquisition can reach the required signal to noise ratio of all transmission blocks of this block error probability desired value.According to the corresponding code check of this transmission block and the signal to noise ratio that obtains, obtain described signal to noise ratio code check formula.This signal to noise ratio code check formula can for:

E _c＝ax ²+bx+c

Wherein, E _cBe code check, x is signal to noise ratio, and coefficient a, b and c can obtain by emulation.

Preferably, this method also comprises: step e obtains the step that channel quality is indicated sequence number side-play amount Deta_CQI.Step e can comprise:

E1. in Block Error Rate segmentation window to the cyclic redundancy check (CRC) of this channel demodulation as a result CRC add up, to obtain Block Error Rate.

E2. this Block Error Rate and the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold are compared, and adjust channel quality indication sequence number side-play amount according to comparative result.Wherein, the first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold, and the initial value of channel quality indication sequence number side-play amount is zero.

When this Block Error Rate is higher than the first Block Error Rate convergence threshold, reduces current channel quality indication sequence number side-play amount, and re-execute above-mentioned steps E1 and E2.

When this Block Error Rate is lower than the second Block Error Rate convergence threshold, raises current channel quality indication sequence number side-play amount, and re-execute above-mentioned steps E1 and E2.

When this Block Error Rate is between the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold, keep channel quality indication sequence number side-play amount constant.

Preferably, the first Block Error Rate convergence threshold is B _t* F _dThe second Block Error Rate convergence threshold is B _t* F _uWherein, B _tBe block error probability desired value, F _uBe climbing number, 0≤F _u≤ 1, F _dBe decline coefficient, 1≤F _d≤ 2, and F _u+ F _d=2.

Preferably, F _u=0.5,, F _d=1.5.

Preferably, block error probability desired value can be adjusted according to the service quality QOS class requirement of business.

Preferably, the described step of adjusting according to the service quality QOS class requirement of business comprises: the QoS grade that detects described business; According to the QoS grade that detection obtains, search professional block error probability desired value adjustment form, obtaining the Block Error Rate corresponding with this QoS grade, and with this Block Error Rate as the block error probability desired value at described business.

Alternatively, in one embodiment, this method also is included in after the step C, utilizes channel quality indication sequence number side-play amount, and obtains to revise code check according to following formula,

E _New=E _c* (R^Deta_CQI), wherein,

E _NewFor revising code check, E _cBe the code check that obtains among the step C, R is the ratio between bulk and the fritter between adjacent transmission block in the transmission block size sequence number table, and Deta_CQI is channel quality indication sequence number side-play amount.

Preferably, this method also comprises: after the step of described acquisition correction code check, judge and revise the code check carrying upper limit whether code check exceeds the additive white Gaussian noise awgn channel.When judged result when being, according to the code check carrying upper limit bit rate output of awgn channel.When judged result for not the time, revise code check and remain unchanged.

Alternatively, in another embodiment, this method also comprises: after step D, with channel quality indicate sequence number side-play amount and the indication of resulting channel quality in step D sequence number and as the channel quality indicator (CQI) after the adjustment _New

Preferably, the channel quality indicator (CQI) after obtaining adjustment _NewStep after, this method also comprises: utilize CQI _NewSearch transmission block size form, obtain the transmission block size.According to transmission block size and scheduling resource quantity, obtain to revise code check.Judge and revise the code check carrying upper limit whether code check exceeds awgn channel.When judged result when being, according to the code check carrying upper limit output of awgn channel.When judged result for not the time, this correction code check remains unchanged.

Preferably, this Block Error Rate segmentation window is sliding window.Length of window is W, and sliding step is M.Wherein, W, M are positive integer, and M≤W.

Alternatively, the adjustment of channel quality indication side-play amount is carried out at Block Error Rate segmentation window edge.

Alternatively, the adjustment of channel quality indication side-play amount is carried out in described Block Error Rate segmentation window interior.The step of adjusting channel quality indication side-play amount in window interior can comprise:

Judge whether the redundant cyclic check CRC window that accumulates on the current subframe reaches minimum CRC window.When judged result when being, obtain Block Error Rate.This Block Error Rate is the ratio of number of errors and the Block Error Rate segmentation statistical window length of CRC in the redundant cyclic check CRC window that accumulates on the current subframe.

Preferably, this method also comprises: according to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode.Wherein, the first modulation thresholding is less than the second modulation thresholding.

When code check is modulated thresholding less than first, select quaternary phase shift modulation system QPSK.When code check is between the first modulation thresholding and the second modulation thresholding, select to comprise the quadrature amplitude modulation mode 16QAM of 16 kinds of symbols.When code check is modulated thresholding greater than second, select to comprise the quadrature amplitude modulation mode 64QAM of 64 kinds of symbols.

According to a further aspect in the invention, provide a kind of device that generates the channel quality indication.This device comprises:

The signal to noise ratio Changing Pattern obtains the unit, and this unit is used for the signal to noise ratio of m subframe namely receiving from channel before the signal to noise ratio of n subframe and the current subframe according to the current subframe that receives from channel, the Changing Pattern of the signal to noise ratio of acquisition channel.

The signal-to-noise ratio to predict value obtains the unit, is used for the Changing Pattern according to signal to noise ratio, obtains the signal-to-noise ratio to predict value of n+D subframe of channel.Wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

Preferably, the Changing Pattern of the signal to noise ratio of channel is signal to noise ratio random fluctuation or signal to noise ratio sustainable growth or continues to descend.

The signal-to-noise ratio to predict value obtains the unit and can comprise:

Signal-to-noise ratio to predict pattern subelement is used for the Changing Pattern according to the signal to noise ratio of channel, selects and the corresponding signal-to-noise ratio to predict pattern of this Changing Pattern.

The first predictor unit, when signal to noise ratio current subframe and before m subframe sustainable growth or when continuing to descend, utilize first predictive mode acquisition signal-to-noise ratio to predict value.

This first predictive mode is according to current subframe and the signal to noise ratio of m subframe before, obtain the weighted average of the signal to noise ratio variable quantity of adjacent sub-frame, with the product of this weighted average and the D variable quantity predicted value as the signal to noise ratio of n+D subframe and current subframe, and with the signal to noise ratio of the variable quantity predicted value of this signal to noise ratio and current subframe and as the signal-to-noise ratio to predict value, perhaps

Prediction is changed to the pace of change of the signal to noise ratio of described n+D subframe from the signal to noise ratio of current subframe, and obtains the signal-to-noise ratio to predict value of described n+D subframe according to this pace of change.

The second predictor unit, when signal to noise ratio current subframe and before during m subframe random fluctuation, utilize second predictive mode acquisition signal-to-noise ratio to predict value.

This second predictive mode be with current subframe and before the mean value of the signal to noise ratio of m subframe as the signal-to-noise ratio to predict value after a plurality of subframes of channel, perhaps with current subframe and before the signal to noise ratio of m subframe carry out smothing filtering, and with the signal to noise ratio smooth value that the obtains signal-to-noise ratio to predict value as n+D subframe of this channel.

Preferably, signal-to-noise ratio to predict pattern subelement can comprise:

The success rate prediction statistical module is used for the statistical forecast success rate.This success rate prediction can be the probability that detects the signal to noise ratio sustainable growth or continue to descend in the success rate prediction statistical window.Wherein, for each subframe in the success rate prediction statistical window, the success rate prediction statistical module is judged the whether sustainable growth or continue decline of signal to noise ratio from m subframe before to this subframe.If then this subframe is measurable, otherwise this subframe is unpredictable.Success rate prediction can be the ratio of subframe sum in the number of the measurable subframe in the success rate prediction statistical window and this window.This success rate prediction statistical window can be sliding window.

The success rate prediction comparison module is used for success rate prediction relatively big or small with the first success rate threshold T h1 and the second success rate threshold T h2.Wherein, the first success rate threshold value is greater than the second success rate threshold value.When success rate prediction during greater than the first success rate threshold value, select the first predictor unit to handle; When success rate prediction during less than the second success rate threshold value, select the second predictor unit to handle; When success rate prediction is between the first success rate threshold value and the second success rate threshold value, use the signal to noise ratio of current subframe as the signal-to-noise ratio to predict value after a plurality of subframes of channel.Wherein, the span of the first success rate threshold value and the second success rate threshold value can be 0.3≤Th1≤0.5,0.12≤Th2≤0.25.

Preferably, this device can also comprise:

Code check obtains the unit, is used for the corresponding relation according to signal-to-noise ratio to predict value and code check, obtains the code check corresponding with the signal-to-noise ratio to predict value.

Channel quality indication sequence number obtains the unit, is used for the scheduling resource quantity according to this code check and this channel, obtains channel quality indication sequence number CQI index.

Preferably, this device also can comprise: the CQI side-play amount obtains the unit.This unit can comprise:

The Block Error Rate statistical module is added up for the CRC result to this channel demodulation in Block Error Rate segmentation window, to obtain Block Error Rate.

The Block Error Rate comparison module is used for this Block Error Rate and the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold are compared, and adjusts channel quality indication sequence number side-play amount according to comparative result.Wherein, the first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold.

When this Block Error Rate is higher than the first Block Error Rate convergence threshold, reduce current channel quality indication sequence number side-play amount, and the Block Error Rate in the statistics of error rate segmentation window again.When this Block Error Rate is lower than the described second Block Error Rate convergence threshold, raise current channel quality indication sequence number side-play amount, and the Block Error Rate in the statistics of error rate segmentation window again.When this Block Error Rate is between the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold, keep this channel quality indication sequence number side-play amount constant.

The first Block Error Rate convergence threshold can be B _t* F _d, the second Block Error Rate convergence threshold can be B _t* F _uWherein, B _tBe block error probability desired value, F _uBe climbing number, 0≤F _u≤ 1, F _dBe decline coefficient, 1≤F _d≤ 2, and F _u+ F _d=2.

Preferably, this device can comprise that also QOS class requirement detecting unit and block error probability desired value obtain the unit.QOS class requirement detecting unit is for detection of the QOS class requirement; Block error probability desired value obtains the unit, is used for the QoS grade that obtains according to detection, searches professional block error probability desired value adjustment form, obtaining the Block Error Rate corresponding with this QoS grade, and with this Block Error Rate as the block error probability desired value at described business.

Preferably, this device also can comprise the modulation system selected cell.This unit is used for according to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode.Wherein, the first modulation thresholding is less than the second modulation thresholding.When code check is modulated thresholding less than first, select quaternary phase shift modulation system QPSK.When code check is between the first modulation thresholding and the second modulation thresholding, select to comprise the quadrature amplitude modulation mode 16QAM of 16 kinds of symbols.When code check is modulated thresholding greater than second, select to comprise the quadrature amplitude modulation mode 64QAM of 64 kinds of symbols.

In technical scheme of the present invention, utilize the signal to noise ratio of m the subframe that current subframe namely receives from channel before the signal to noise ratio of n subframe and the current subframe, the Changing Pattern of the signal to noise ratio of acquisition channel.And at the different situations of signal to noise ratio Changing Pattern, take corresponding Forecasting Methodology, thereby obtain the signal-to-noise ratio to predict value of n+D subframe of channel.Wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

Therefore, adopt technical scheme of the present invention, considered that CQI reports the come into force moment and CQI report generation time delay constantly.Predict by the channel quality of CQI being reported the moment of coming into force, can mate CQI better and report the channel quality constantly that comes into force, improve the CQI feedback oscillator, and can obtain the lifting of throughput and the decline of Block Error Rate.

Description of drawings

The accompanying drawing that constitutes the part of specification has been described embodiments of the invention, and is used for explaining principle of the present invention together with the description.

With reference to accompanying drawing, according to following detailed, can be expressly understood the present invention more, wherein:

Fig. 1 is the generation sequential relationship schematic diagram of existing C QI report.

Fig. 2 is the flow chart of the method for generation channel quality indication according to an embodiment of the invention.

Fig. 3 is the signal to noise ratio schematic diagram over time under the CASE1 channel circumstance.

Fig. 4 is the flow chart of the method for generation channel quality indication according to another embodiment of the invention.

Fig. 5 is the flow chart of the method for generation channel quality indication according to still another embodiment of the invention.

Fig. 6 is the flow chart that obtains the step of signal-to-noise ratio to predict value among Fig. 5 according to the Changing Pattern of signal to noise ratio.

Fig. 7 is the flow chart that obtains the step of channel quality indication sequence number side-play amount among Fig. 5.

Fig. 8 obtains channel quality to indicate the flow chart that does not reach the tupe of window edge in the step of sequence number side-play amount.

Fig. 9 is the flow chart of the method for generation channel quality indication according to still a further embodiment.

Figure 10 is the structural representation of the device of generation channel quality indication according to an embodiment of the invention.

Figure 11 shows the structural representation of the signal-to-noise ratio to predict value acquisition unit 12 among Figure 10.

Figure 12 shows the structural representation of the signal-to-noise ratio to predict pattern subelement 121 among Figure 11.

Figure 13 is the structural representation of the device of generation channel quality indication according to another embodiment of the invention.

Figure 14 shows the structural representation of the CQI side-play amount acquisition unit 24 among Figure 13.

Figure 15 is the structural representation of the device of generation channel quality indication according to still another embodiment of the invention.

Embodiment

Describe various exemplary embodiment of the present invention in detail now with reference to accompanying drawing.It should be noted that: unless specify in addition, the parts of setting forth in these embodiments and positioned opposite, numeral expression formula and the numerical value of step do not limit the scope of the invention.

Simultaneously, should be understood that for convenience of description that the size of the various piece shown in the accompanying drawing is not to draw according to the proportionate relationship of reality.

Below be illustrative to the description only actually of at least one exemplary embodiment, never as any restriction to the present invention and application or use.

May not be discussed in detail for the known technology of person of ordinary skill in the relevant, method and apparatus, but under suitable situation, described technology, method and apparatus should be regarded as authorizing the part of specification.

In shown here and all examples of discussing, it is exemplary that any occurrence should be construed as merely, rather than as restriction.Therefore, other example of exemplary embodiment can have different values.

It should be noted that: represent similar terms in similar label and the letter accompanying drawing below, therefore, in case be defined in a certain Xiang Zaiyi accompanying drawing, then in accompanying drawing subsequently, do not need it is further discussed.

Fig. 2 shows a kind of flow chart that generates the method for channel quality indication according to an embodiment of the invention.

In step S101, obtain the Changing Pattern of the signal to noise ratio of channel.

The signal to noise ratio of channel can utilize the symbol on the receiver output planisphere to estimate.In the present embodiment, be the signal to noise ratio snr of estimating the HS-DSCH channel.

Can be with the signal to noise ratio snr storage of the HS-DSCH channel that obtains, for example, the signal to noise ratio of a plurality of subframes before the current subframe can be carried out record by history window.

Then, according to currency and the history value of the signal to noise ratio of storing, obtain the Changing Pattern of signal to noise ratio.

Specifically, can obtain the Changing Pattern of the signal to noise ratio of this channel according to the signal to noise ratio of the current subframe (i.e. n subframe) that receives from channel and current subframe before from the signal to noise ratio of m subframe of this channel reception.

In the above description, m can be any positive integer.For example, can choose the signal to noise ratio of current subframe and current subframe 3-32 subframe before.

The Changing Pattern of signal to noise ratio can be the signal to noise ratio random fluctuation, perhaps signal to noise ratio sustainable growth or lasting decline in a period of time scope.

For example, under slow Change channel circumstance, under PA3, PB3, CASE1 channel circumstance, signal to noise ratio is sustainable growth or lasting decline in a period of time scope, that is to say, has rising edge and/or trailing edge in the curve over time in signal to noise ratio.

Fig. 3 shows the signal to noise ratio schematic diagram over time under the CASE1 channel circumstance.As shown in Figure 3, curve A partly is rising edge, i.e. signal to noise ratio sustainable growth in a period of time scope, and curve B partly is trailing edge, namely signal to noise ratio continues to descend in a period of time scope.

And under Quick-Change channel circumstance, as under channel VA30, VA120 environment, because the variation of channel is very fast, and the signal to noise ratio snr fluctuating range is big, this can make SNR before two sub-hardwoods and the SNR of current hardwood differ far away, and the variation tendency on the current sub-hardwood is also different with past two hardwood, and namely the temporal correlation of interchannel is very weak, the signal to noise ratio random fluctuation.

And under Change channel circumstance not, for example in awgn channel, because the variance random fluctuation of SNR algorithm for estimating itself, the probability that rising edge and trailing edge occur also can be very little.

In step S102, according to the Changing Pattern of signal to noise ratio, obtain the signal-to-noise ratio to predict value.

Can take corresponding Forecasting Methodology according to the Changing Pattern of above-mentioned signal to noise ratio, obtain the current subframe signal-to-noise ratio to predict value of D subframe (i.e. n+D subframe) afterwards.

Wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

The signal-to-noise ratio to predict value of the n+D subframe that obtains like this, and the signal to noise ratio actual value of n+D subframe are more approaching.

Here the channel quality indication of mentioning generates the moment (the n subframe constantly) that refers to generate the channel quality indication constantly.And channel quality indication comes into force and constantly refers to utilize the channel quality indication that generates to carry out the moment of scheduling of resource (the n+D subframe constantly).

At the Changing Pattern of signal to noise ratio under the slow Change channel circumstance, namely signal to noise ratio current subframe and before m subframe sustainable growth or continue to descend, can select first predictive mode acquisition signal-to-noise ratio to predict value for use.

Particularly, can obtain the weighted average of the signal to noise ratio variable quantity of adjacent sub-frame according to current subframe and the signal to noise ratio of m subframe before.The variable quantity predicted value that this weighted average and the product of D are compared with the signal to noise ratio of current subframe as n+D subframe.The signal-to-noise ratio to predict value be the variable quantity predicted value of this signal to noise ratio and current subframe signal to noise ratio and.

This first predictive mode can also be to predict from the signal to noise ratio of current subframe (i.e. n subframe) to be changed to the pace of change of the signal to noise ratio of n+D subframe, and obtains the signal-to-noise ratio to predict value of n+D subframe according to this pace of change.

At the signal to noise ratio Changing Pattern (being the signal to noise ratio random fluctuation) of Quick-Change channel circumstance or the signal to noise ratio Changing Pattern of Change channel circumstance not, above-mentioned Forecasting Methodology is no longer suitable, can utilize second predictive mode to obtain the signal-to-noise ratio to predict value.

Particularly, can with current subframe and before the mean value of the signal to noise ratio of m subframe as the signal-to-noise ratio to predict value of n+D subframe of channel.

In addition, also can with current subframe and before the signal to noise ratio of m subframe carry out smothing filtering, and with the signal to noise ratio smooth value that the obtains signal-to-noise ratio to predict value as n+D subframe of channel.

Need to prove that method provided by the present invention is not only applicable to down link, also be applicable to up link.

For down link, for example, in systems such as TD-SCDMA, WCDMA or LTE, receiving terminal is subscriber equipment (UE), finishes above-mentioned steps by subscriber equipment.

Up link also can adopt and the similar adaptive modulation system of down link, for example, receiving terminal sends to transmitting terminal by the test of Traffic Channel quality being generated transmission block size and modulation system, and the transmission block size that makes transmitting terminal to issue to meet the receiving terminal channel quality and modulation system are to receiving terminal.Like this, the present invention is applicable to that also up receiving terminal (being the base station) generates transmission block size and the modulation system report that meets channel quality.

In technical scheme of the present invention, by analyzing the signal to noise ratio of current subframe and historical subframe, obtain the Changing Pattern of signal to noise ratio in a period of time, and report the snr value constantly that comes into force according to this law forecasting CQI.Because this scheme has been considered CQI report generation and has been reported the subframe delay constantly that comes into force with CQI constantly, the CQI that obtains by Forecasting Methodology reports that the signal-to-noise ratio to predict value constantly that comes into force is more consistent with this signal to noise ratio actual value constantly that comes into force, therefore the CQI report that reports based on this signal-to-noise ratio to predict value is also more accurate, thereby is conducive to the maximization of single transmission throughput.

Fig. 4 shows the flow chart of the method for a kind of channel quality indication of generation according to another embodiment of the invention.

In step S201, obtain the Changing Pattern of the signal to noise ratio of channel.

In this step, can obtain the Changing Pattern of the signal to noise ratio of this channel according to the signal to noise ratio of n the subframe that receives from channel with before from the signal to noise ratio of m subframe of channel reception.

In step S202, according to the Changing Pattern of signal to noise ratio, obtain the signal-to-noise ratio to predict value.

Can take corresponding Forecasting Methodology according to the Changing Pattern of the signal to noise ratio that in step S201, obtains, obtain after the current subframe the i.e. signal-to-noise ratio to predict value of n+D subframe of D subframe.

Wherein, D can be any positive integer, for example, can obtain the current subframe signal-to-noise ratio to predict value of arbitrarily individual subframe afterwards.Preferably, D is that channel quality is indicated generation constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment, and such signal-to-noise ratio to predict value that obtains just in time is the signal-to-noise ratio to predict value that channel quality is indicated the moment of coming into force.

Step S201 in the present embodiment and step S202 can be respectively with a last embodiment in step S101 identical with step S102, do not repeat them here.

In step S203, utilize the corresponding relation of signal-to-noise ratio to predict value and code check, obtain the code check corresponding with the signal-to-noise ratio to predict value.

In this step, can obtain the code check corresponding with the signal-to-noise ratio to predict value by searching the signal to noise ratio rate tables.

But, need store the mass data table by the method that obtains code check of tabling look-up, thereby take certain memory space.In addition, this method also needs repeatedly to read this memory block and relatively big or small, thereby increases the complexity that realizes.

Preferably, can adopt another method to obtain the code check corresponding with the signal-to-noise ratio to predict value.

This method is to simulate signal to noise ratio code check formula by Computer Simulation.Then, this signal to noise ratio code check formula of signal to noise ratio substitution that obtains just can be calculated code check.

This signal to noise ratio code check formula can obtain by the following method:

At first, by Computer Simulation, obtain to make the Block Error Rate mean value of throughput maximum.The maximized Block Error Rate mean value of throughput is 1% under a kind of preferred awgn channel.

Then, block error probability desired value is made as this Block Error Rate mean value.

Afterwards, according to this block error probability desired value, acquisition can reach the required signal to noise ratio of all transmission blocks of this block error probability desired value.

According to the corresponding code check of transmission block and the signal to noise ratio that obtains, just can obtain signal to noise ratio code check formula.This signal to noise ratio code check formula can for:

E _c＝ax ²+bx+c

Wherein, E _cBe code check, x is signal to noise ratio, and coefficient a, b and c obtain by emulation.

Adopt this method, only by computing can draw the corresponding code check of input signal-to-noise ratio once the step, implementation complexity is low.

Need to prove that signal to noise ratio code check formula is not limited to the form of above-mentioned quadratic equation with one unknown, can utilize any other method or utilize other channels to carry out emulation, thereby obtain the relation of code check and signal to noise ratio.

In step S204, according to the scheduling resource quantity of code check and channel, obtain channel quality indication sequence number CQI index.

Particularly, can at first utilize the code check that obtains in the previous step and the HS-SCCH resource quantity of scheduling, calculate the transmission block size.Then, utilize this transmission block size to look into transmission block size form, thereby draw corresponding CQI sequence number.

Fig. 5 shows the flow chart of the method for a kind of channel quality indication of generation according to still another embodiment of the invention.

In step S301, obtain the Changing Pattern of the signal to noise ratio of channel.

Can obtain the Changing Pattern of the signal to noise ratio of this channel according to the signal to noise ratio of current subframe (i.e. n subframe) and the signal to noise ratio of m subframe before.

The Changing Pattern of signal to noise ratio can be the signal to noise ratio random fluctuation, perhaps signal to noise ratio sustainable growth or lasting decline.

In step S302, according to the Changing Pattern of signal to noise ratio, obtain the signal-to-noise ratio to predict value.

Can take corresponding Forecasting Methodology according to the Changing Pattern of the signal to noise ratio that in step S301, obtains, calculate after the current subframe the i.e. signal-to-noise ratio to predict value of n+D subframe of D subframe.

Preferably, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

Fig. 6 shows the detail flowchart of step S302.

In step S3021, according to the signal to noise ratio of current subframe and historical subframe, the statistical forecast success rate.

The probability of this success rate prediction in the success rate prediction statistical window, detecting the signal to noise ratio sustainable growth or continuing to descend.

Particularly, for each subframe in the success rate prediction statistical window, can judge the whether sustainable growth or continue to descend of signal to noise ratio from m subframe before to this subframe.Wherein, m can be any natural number, for example, and the whether sustainable growth or whether continue to descend of the signal to noise ratio that can judge 3～32 subframes before the current subframe.

If then this subframe is measurable, can be set to 1 in this subframe position; Otherwise this subframe is unpredictable, can be set to 0 in this subframe position.

Then, with the ratio of 1 number in this success rate prediction statistical window and length of window W as the success rate prediction that counts on the current subframe.

This success rate prediction statistical window can be sliding window.Sliding step can be M, and M is any positive integer, i.e. the exportable success rate prediction that once upgrades of every M subframe.

It will be understood by those of skill in the art that method that the present invention is recorded as the power statistic result is not limited to 1 or 0 scheme is set in subframe position, also can adopt additive method to be recorded as the power statistic result.

In step S3022, with the success rate prediction that obtains and the first success rate threshold T h1 and second success rate threshold T h2 size relatively.Wherein, the first success rate threshold value is greater than the second success rate threshold value.

When success rate prediction during greater than Th1, execution in step S3023.When success rate prediction during less than Th2, execution in step S3024.When success rate prediction is between Th1 and the Th2, execution in step S3026.

In step S3023, adopt first predictive mode to handle.Particularly, judge whether current subframe detects rising edge or trailing edge.

When not detecting rising edge or trailing edge, execution in step S3026 uses the snr value of current subframe as the signal-to-noise ratio to predict value.When detecting rising edge or trailing edge, execution in step S3025 uses the signal-to-noise ratio to predict value.

The detailed process of step S3025 is as follows:

Can pass through following signal-to-noise ratio to predict formula, obtain the current subframe signal-to-noise ratio to predict value of D subframe afterwards:

$\mathrm{SNR}(\hat{n}+D)=\mathrm{snr}\left(n\right)+[k_1{,k}_2,...,k_j{,...,k}_m]\×\left[\begin{array}{c}\mathrm{\Δ}{\mathrm{snr}}_1\\ \mathrm{\Δ}{\mathrm{snr}}_2\\ ...\\ \mathrm{\Δ}{\mathrm{snr}}_j\\ ...\\ \mathrm{\Δ}{\mathrm{snr}}_m\end{array}\right]\×D\×\mathrm{\γ}$

Wherein,

Δsnr ₁＝snr(n)-snr(n-1)，

Δsnr ₂＝snr(n-1)-snr(n-2)，

…

Δsnr _j＝snr(n-j+1)-snr(n-j)，

…

Δsnr _m＝snr(n-m+1)-snr(n-m)，

The signal to noise ratio input value can be stored among the buffer register buffer.According to time sequencing, can be designated as respectively: snr (n), snr (n-1), snr (n-2), snr (n-3) ...

M is any positive integer, and snr (n) is the signal to noise ratio of current subframe, and snr (n-j) is the current subframe signal to noise ratio of j subframe before, k _jBe Δ snr _jWeight coefficient, 0≤k _j≤ 1, and

γ is for the prediction modifying factor, as Δ snr _jAll greater than 0 o'clock, γ was the arithmetic number less than 1, as Δ snr _jAll less than 0 o'clock, γ was the arithmetic number greater than 1.

Preferably, as Δ snr _jAll greater than 0 o'clock, γ=0.9.As Δ snr _jAll less than 0 o'clock, γ=1.1.

Weight coefficient both can be made as fixed value, also can obtain by adaptive method.

Preferably, can adopt adaptive mode to carry out the coupling of optimal weighting coefficients according to the signal-to-noise ratio to predict error.Comprise that with each weight coefficient group three weight coefficients are that example describes below.

At first, can carry out discretization to the possible value combination of weight coefficient, obtain the combination of preferred number.Following table is a kind of preferred weight coefficient combination examples:

Packet number	K1, K2, the value of K3
		1	[1/3，1/3，1/3]
2	[0.4，0.35，0.25]
		3	[0.5，0.3，0.2]
4	[0.6，0.25，0.15]
		5	[0.7，0.2，0.1]
6	[0.8，0.15，0.05]
		7	[0.9，0.075，0.025]
8	[1.0，0，0]

In table, three weight coefficients of the 1st group are identical, show that the weight of three corresponding signal to noise ratio increments is identical.This group weight coefficient is fit to the situation of signal to noise ratio linear growth.And for the 8th group weight coefficient, the signal to noise ratio increment weight maximum of current subframe is fit to the sight of signal to noise ratio non-linear growth.This requires the estimated accuracy of signal to noise ratio input estimated value higher.

Then, obtain these weight coefficients corresponding signal-to-noise ratio to predict value of dividing into groups respectively.Particularly, can utilize n-D-m subframe to signal to noise ratio and a plurality of candidate's weight coefficient group of n-D subframe according to the signal-to-noise ratio to predict formula, obtain a plurality of signal-to-noise ratio to predict values of current subframe (i.e. n subframe).

Afterwards, in a plurality of signal-to-noise ratio to predict values of the current subframe that obtains, select and the immediate signal-to-noise ratio to predict value of the signal to noise ratio actual value of current subframe, and with the preferred weight coefficient group of the corresponding candidate's weight coefficient of selected signal-to-noise ratio to predict value group as current subframe.

Need to prove, be not limited to three weight coefficients in each weight coefficient group.Can in the memory block, store the history value of more signal to noise ratios, and utilize the weighting of the variable quantity of more signal to noise ratios, obtain the predicted value of signal to noise ratio.

In addition, weight coefficient also can adopt fixed value.In a kind of optimal way, when m=3, three weight coefficients can be respectively: k ₁=0.40, k ₂=0.35, k ₃=0.25.

In another kind of specific embodiment, the method of utilizing first predictive mode to obtain the signal-to-noise ratio to predict value can also be: prediction is carved into the CQI pace of change of variable quantity of signal to noise ratio constantly that comes into force when CQI generates, thereby obtains the come into force signal-to-noise ratio to predict value in the moment of CQI.

This method specifically can comprise:

According to current subframe and before the signal to noise ratio changing value of adjacent sub-frame in m subframe, and utilize following signal-to-noise ratio to predict formula to obtain the current subframe predicted value of the signal to noise ratio of D subframe afterwards,

$\mathrm{SNR}(\hat{n}+D)=\mathrm{snr}\left(n\right)+\mathrm{\Δsnr},$

Wherein, Δ snr=A Δ ²+ B Δ+C, Δ=snr (n)-snr (n-1), coefficient A, B and C can obtain according to the signal to noise ratio of a plurality of subframes before this subframe and by following equation:

$\left\{\begin{array}{c}\mathrm{snr}\left(n\right)-\mathrm{snr}(n-D)=A{(\mathrm{snr}\left(n\right)-\mathrm{snr}(n-1))}^2+B(\mathrm{snr}\left(n\right)-\mathrm{snr}(n-1))+C\\ \mathrm{snr}(n-1)-\mathrm{snr}(n-D-1)=A{(\mathrm{snr}(n-1)-\mathrm{snr}(n-2))}^2+B(\mathrm{snr}(n-1)-\mathrm{snr}(n-2))+C\\ \mathrm{snr}(n-2)-\mathrm{snr}(n-D-2)=A{(\mathrm{snr}(n-2)-\mathrm{snr}(n-3))}^2+B(\mathrm{snr}(n-2)-\mathrm{snr}(n-3))+C\end{array}\right..$

In step S3024, select second predictive mode to handle.

In second predictive mode, can with current subframe and before the mean value of the signal to noise ratio of m subframe as the signal-to-noise ratio to predict value of n+D subframe of channel.

Perhaps, with current subframe and before the signal to noise ratio of m subframe carry out smothing filtering, and with the signal to noise ratio smooth value that the obtains signal-to-noise ratio to predict value as n+D subframe of described channel.

For example, can adopt Alpha's filter to carry out smoothing processing, and with the signal-to-noise ratio to predict value of the signal to noise ratio smooth value after level and smooth as n+D subframe of channel.

Smoothing processing comprises two kinds: linear domain is level and smooth and log-domain is level and smooth.If tend to channel on no channel rise and fall edge at implementation strategy, report more radical CQI value, and less concern block error rate BLER, then preferred linear domain smoothing processing; If tend to channel on no channel rise and fall edge at implementation strategy, report conservative CQI value, and more concern block error rate BLER, then preferred log-domain smoothing processing.

The smooth value of signal to noise ratio can for:

$\widetilde{\mathrm{SNR}}\left(n\right)=\mathrm{snr}\left(n\right)\×\mathrm{\α}+\widetilde{\mathrm{SNR}}(n-1)\×(1-\mathrm{\α}),$

Wherein, snr (n) is the signal-to-noise ratio measurements of current subframe, and α is smoothing factor, 0≤α≤1.

Preferably, the span of smoothing factor can be 1/8≤α≤1/2.

Afterwards, execution in step S3027 uses signal to noise ratio mean value or signal to noise ratio smooth value as the signal-to-noise ratio to predict value.

When success rate prediction is between the first success rate threshold value and the second success rate threshold value execution in step S3026.

In step S3026, use the signal to noise ratio of current subframe as the signal-to-noise ratio to predict value after D the subframe of channel.

Wherein, the scope of the first success rate threshold value and the second success rate threshold value can be: 0.3≤Th1≤0.5,0.12≤Th2≤0.25.

Preferably, the first success rate threshold T h1 can be 0.2 for 0.4, the second success rate threshold T h2.And the initial value of success rate prediction can be set to 0.35.

In step S303, utilize the corresponding relation of signal-to-noise ratio to predict value and code check, obtain the code check corresponding with the signal-to-noise ratio to predict value.

In this step, can utilize the signal-to-noise ratio to predict value, obtain the code check corresponding with the signal-to-noise ratio to predict value by searching the signal to noise ratio code check.

Perhaps, simulate signal to noise ratio code check formula by Computer Simulation, this signal to noise ratio code check formula of signal to noise ratio substitution just can be calculated the code check corresponding with the signal-to-noise ratio to predict value.

It will be understood by those of skill in the art that the method that obtains code check is not limited to above-mentioned dual mode, can utilize any other method, as long as can obtain corresponding code check according to the signal-to-noise ratio to predict value.

Step S303 can be identical with the step S203 among the last embodiment, do not repeat them here.

In step S304, by the Block Error Rate alignment procedures, obtain channel quality indication sequence number side-play amount Deta_CQI.

Because the bearing capacity of actual channel capacity and institute's use code table has certain gap, it is good to obtain the channel that code table adopts than emulation, also may be poor, and this gap represents that with a CQI adjustment offset variable Deta_CQI unit is number.The adjustment step-length of Deta_CQI is designated as CQIdownstep and CQIupstep, and expression is in harmonious proportion down and raises step-length respectively, and unit is 1, represents a CQI sequence number (CQI Index).

Because the characteristic of channel is dynamic change, as translational speed increase, multipath changes in distribution, therefore, Deta_CQI is the dynamic variable that needs are safeguarded.

Can obtain channel quality indication sequence number side-play amount Deta_CQI by the following method:

Cyclic redundancy check (CRC) result (CRC) to channel demodulation in Block Error Rate segmentation window adds up, to obtain Block Error Rate.Preferably, the length of this Block Error Rate segmentation window can be 32～128 subframes.

Preferably, can the CRC sample that enter in the Block Error Rate segmentation window be filtered.For example, for the HS-DSCH channel, need to consider the difference of network side between the corresponding code check of transmission block that the actual transmission block corresponding code check of size that issues and CQI feedback on the HS-DSCH channel are asked.When this difference is excessive, can not reflect current channel situation to the demodulation result of HS-DSCH channel, therefore need not to include this CRC sample in this Block Error Rate segmentation window.

Under normal circumstances, generally be to adjust according to fixing Block Error Rate segmentation length of window, when namely arriving Block Error Rate segmentation window edge, just once adjust according to the relation of the block error rate BLER in the window and block error probability desired value BLER target.

But, when the crc error number in the window surpasses some, for example, when the crc error number in the window surpasses Bler target*FcDown* length of window L, needn't wait for that arriving window edge can reduce Deta_CQI.Behind the downward modulation Deta_CQI, empty window at once, and restart the follow-up crc value of buffer memory.

Fig. 7 shows the detail flowchart of step S304.

In step S3041, judge whether current window length arrives window edge.

When judged result when being, execution in step S3042; When judged result for not the time, execution in step S3046 namely enters non-window edge adjustment modes.

Wherein, Block Error Rate obtains by the following method:

Judge whether the redundant cyclic check CRC window that accumulates on the current subframe reaches minimum CRC window.When judged result when being, the ratio of the number of errors of CRC and Block Error Rate segmentation statistical window length is Block Error Rate in the redundant cyclic check CRC window that accumulates on the current subframe.

In step S3042, with this Block Error Rate and the first Block Error Rate convergence threshold and second Block Error Rate convergence threshold size relatively, and adjust channel quality indication sequence number side-play amount according to comparative result.Wherein, the first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold.

When estimated Block Error Rate is higher than the first Block Error Rate convergence threshold, execution in step S3043.

In step S3043, reduce current channel quality indication sequence number side-play amount, for example, reduce by fine setting skew step-length, i.e. a Deta_CQI=Deta_CQI-CQIdownstep.Afterwards, the storage current window is recorded in the historical CRC window record, empties current C RC window record, and re-executes above-mentioned steps.

When this Block Error Rate is lower than the second Block Error Rate convergence threshold, execution in step S3045.

In step S3045, raise current channel quality indication sequence number side-play amount, for example, increase fine setting skew step-length, i.e. a Deta_CQI=Deta_CQI+CQIupstep.Afterwards, the storage current window is recorded in the historical CRC window record, empties current C RC window record, and re-executes above-mentioned steps.

When this Block Error Rate was between the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold, execution in step S3044 kept Deta_CQI constant.Afterwards, the storage current window is recorded in the historical CRC window record, empties current C RC window record.

In the present embodiment, the first Block Error Rate convergence threshold can be B _t* F _d, the second Block Error Rate convergence threshold can be B _t* F _u, wherein, B _tBe block error probability desired value, F _uBe climbing number, 0≤F _u≤ 1, F _dBe decline coefficient, 1≤F _d≤ 2, and F _u+ F _d=2.

Preferably, climbing number F _u=0.5, decline coefficient F _d=1.5.

Fig. 8 shows in the Block Error Rate alignment procedures, does not reach the flow chart of the tupe of window edge.

In step S3046, judge whether current window is not less than minimum window.

Preferably, minimum window length can be 6～16.

When judged result when being, execution in step S3047, when judged result for not the time, do not carry out any operation, continue to wait for.

In step S3047, this Block Error Rate and the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold are compared, and adjust channel quality indication sequence number side-play amount according to comparative result.Wherein, the first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold.

When this Block Error Rate is higher than the first Block Error Rate convergence threshold, execution in step S3048.

In step S3048, reduce current channel quality indication sequence number side-play amount, i.e. Deta_CQI=Deta_CQI-CQIdownstep.Afterwards, the storage current window is recorded in the historical CRC window record, empties current C RC window record, and re-executes above-mentioned steps.

When this Block Error Rate is lower than the second Block Error Rate convergence threshold, execution in step S30410.

In step S30410, raise current channel quality indication sequence number side-play amount, i.e. Deta_CQI=Deta_CQI+CQIupstep.Afterwards, the storage current window is recorded in the historical CRC window record, empties current C RC window record, and re-executes above-mentioned steps.

When this Block Error Rate was between the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold, execution in step S3049 kept channel quality indication sequence number side-play amount constant.Afterwards, the storage current window is recorded in the historical CRC window record, empties current C RC window record.

Wherein, the first Block Error Rate convergence threshold is B _t* F _d, the second Block Error Rate convergence threshold is B _t* F _u, B _tBe block error probability desired value, F _uBe climbing number, 0≤F _u≤ 1, F _dBe decline coefficient, 1≤F _d≤ 2, and F _u+ F _d=2.

Preferably, climbing number F _u=0.5, decline coefficient F _d=1.5.

Preferably, if count the current window position from the back of a last window, the number of crc error is 0, then raises Deta_CQI immediately, makes Deta_CQI=Deta_CQI+CQIupstep.Clear history CRC window records and current C RC window record afterwards.

By adopting this Deta_CQI to adjust flow process, make and to raise CQI fast when channel improves, and when the channel variation, can reduce CQI fast.

Preferably, block error probability desired value can be adjusted according to service quality (QOS) class requirement of business.Like this, can set different block error probability desired values according to different types of service, and this block error probability desired value is used for the Block Error Rate statistics that outer shroud is controlled, and QoS can independently be selected by the user.

For example, little for flow, but requiring the high business of information delivery reliability (as the mobile phone ebanking services), the user before carrying out the Net silver operation, can be set to the highest in order to guarantee service reliability by user interface Qos grade.Then, terminal obtains this professional Qos grade by detecting, and utilizes this Qos grade to carry out professional block error probability desired value adjustment form query manipulation.The Block Error Rate that obtains by tabling look-up can be used as the block error probability desired value in the CQI generative process.Relatively low by the desired value that this method obtains, and lower block error probability desired value makes that the CQI feedback is more conservative, thus increase the transmission reliability of wireless channel.

And when the user is carrying out such as business such as FTP multithreading downloads, want to pursue maximum downloading rate, can adjust the Qos grade is the inferior grade requirement.Correspondingly, by detect this professional Qos grade and the block error probability desired value that obtains of tabling look-up relatively large.In this case, though this method has been sacrificed the reliability of channel, brought higher downloading rate.And owing to be that multithreading is downloaded, the failed download rate also is controlled.

And when the user carries out single-threaded download business, (download such as the music walkman), require the reliability of channel to want high than the reliability of multithreading download.Correspondingly, can obtain lower block error probability desired value by higher Qos grade is set, thereby avoid big probability failed download.

For the user, be ready to sacrifice success rate and exchange downloading rate for and still sacrifice a small amount of downloading rate and exchange success rate for, can set Qos, and obtain corresponding block error probability desired value according to the Qos that sets.This method can be carried out grade mapping and the adjustment of BLER desired value according to user's intention, for the user provides diversification and personalized selection, makes that user's Experience Degree is higher.

Need to prove, obtain corresponding Block Error Rate according to the QoS of business and be not limited to above-mentioned method of tabling look-up, also can adopt additive method to select suitable Block Error Rate.

In step S304, owing to count block error rate BLER, and can adjust code check according to the BLER that adds up, and then control BLER is to desired value.Adopt this method, block error rate BLER accurately can be controlled to block error probability desired value or with Block Error Rate control in particular range.

In step S305, obtain to revise code check.

In this step, can utilize Deta_CQI, and according to following formula, obtain to revise code check,

E _New=E _c* (R^Deta_CQI), wherein,

E _NewFor revising code check, E _cBe the code check that obtains among the step C, R is the ratio between bulk and the fritter between adjacent transmission block in the transmission block size sequence number table.

In step S306, the constraint bit rate output is to the channel code rate upper limit.

In this step, need to judge whether the correction code check that obtains exceeds the code check carrying upper limit of channel.

For example, can judge whether the correction code check exceeds the code check carrying upper limit of additive white Gaussian noise awgn channel.When judged result when being, according to the code check carrying upper limit bit rate output of awgn channel; When judged result for not the time, described correction code check remains unchanged.

Need to prove, if the code table that adopts is the code table that simulates under the awgn channel, can omit this step.

In step S307, obtain channel quality indication sequence number CQI index.

In this step, can calculate transmission block size TB size according to the scheduling resource quantity of the code check that obtains in the previous step and this channel.Then, recycling transmission block size is searched transmission block size form, thereby obtains the CQI sequence number.

In step S308, obtain modulation system according to code check.

In this step, can be according to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode.Wherein, the first modulation thresholding is less than the second modulation thresholding.

When code check is modulated thresholding less than first, select quaternary phase shift modulation system QPSK;

When code check is between the first modulation thresholding and the second modulation thresholding, select to comprise the quadrature amplitude modulation mode 16QAM of 16 kinds of symbols;

When code check is modulated thresholding greater than second, select to comprise the quadrature amplitude modulation mode 64QAM of 64 kinds of symbols.Wherein, the span of the first modulation thresholding value can be that the span of 0.35～0.45, the second thresholding value can be 0.6～0.63.

Need to prove that the span of the first modulation thresholding and the second modulation thresholding can draw by method of computer simulation, is that the receiver scheme that adopts is relevant with terminal.Therefore, the span of the first modulation thresholding and the second modulation thresholding is not limited to above-mentioned numerical value.

In step S309, can finish the CQI report according to CQI index and the selected modulation system of above-mentioned acquisition.

Fig. 9 shows a kind of flow chart that generates the method for channel quality indication according to still a further embodiment.

Wherein, step S401～step S404 belongs to the interior ring handling process of CQI, namely according to the measured value of signal to noise ratio, obtains the predicted value of signal to noise ratio, and then obtains CQI index.

In step S401, obtain the Changing Pattern of the signal to noise ratio of channel.

Can obtain the Changing Pattern of the signal to noise ratio of this channel according to the current subframe that receives from channel i.e. signal to noise ratio and the signal to noise ratio of m subframe before of n subframe.

In step S402, according to the Changing Pattern of signal to noise ratio, obtain the signal-to-noise ratio to predict value.

Can take corresponding Forecasting Methodology according to the Changing Pattern of above-mentioned signal to noise ratio, obtain after the current subframe the i.e. signal-to-noise ratio to predict value of n+D subframe of D subframe.

Wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

In step S403, utilize the corresponding relation of signal-to-noise ratio to predict value and code check, obtain the code check corresponding with the signal-to-noise ratio to predict value.

In this step, can utilize the signal-to-noise ratio to predict value, obtain the code check corresponding with the signal-to-noise ratio to predict value by searching the signal to noise ratio code check.

Perhaps, simulate signal to noise ratio code check formula by Computer Simulation, this signal to noise ratio code check formula of signal to noise ratio substitution just can be calculated the code check corresponding with the signal-to-noise ratio to predict value.

In step S404, according to code check and scheduling resource quantity, calculate a CQI index.

Step S401 in the present embodiment, step S402, step S403 and step S404 and step S301, step S302, step S303 and step S307 among the last embodiment can be identical, do not repeat them here.

Step S405～step S407 belongs to the outer loop process process, namely by the Block Error Rate alignment procedures, obtains the CQI side-play amount.

In step S405, Block Error Rate is added up.

Block Error Rate is the ratio of number of errors and the Block Error Rate segmentation statistical window length of CRC in the redundant cyclic check CRC window that accumulates on the current subframe.

In step S406, with the Block Error Rate added up and the first Block Error Rate convergence threshold and second Block Error Rate convergence threshold size relatively.Wherein, the first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold.

In step S407, according to above-mentioned comparative result, obtain the side-play amount Deta_CQI of CQI.

Particularly, when estimated Block Error Rate is higher than the first Block Error Rate convergence threshold, can reduce by a fine setting skew step-length; When this Block Error Rate is lower than the second Block Error Rate convergence threshold, can increase a fine setting skew step-length; When this Block Error Rate is between the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold, can keep Deta_CQI constant.

Above-mentioned steps S405～S407 belongs to outer loop process.By the Block Error Rate alignment procedures, can effectively control Block Error Rate.This outer loop process process can be identical with the step S304 among the last embodiment, no longer is described in detail at this.

In step S408, utilize the CQI index value and the CQI offset value that obtain by interior ring processing and outer loop process respectively, can obtain the 2nd CQI index value.

In step S409, according to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode.Wherein, the first modulation thresholding is less than the second modulation thresholding.

When code check is modulated thresholding less than first, select quaternary phase shift modulation system QPSK;

When code check is between the first modulation thresholding and the second modulation thresholding, select to comprise the quadrature amplitude modulation mode 16QAM of 16 kinds of symbols;

When code check is modulated thresholding greater than described second, select to comprise the quadrature amplitude modulation mode 64QAM of 64 kinds of symbols.

In step S410, generate the CQI report.This comprises the 2nd CQI index value and the selected modulation system that obtains.

In the technical scheme that present embodiment provides, interior ring is handled and can be obtained the SNR predicted value according to the SNR measured value, and obtains a CQI index according to the SNR predicted value, and this efficiently solves CQI report generation constantly and the delay issue between losing efficacy constantly.And in outer loop process, by the Block Error Rate collation process, can effectively control Block Error Rate.Method provided by the present invention is adopted in border measuring and calculating factually, can promote throughput 50%, and Block Error Rate is controlled 10% with interior or any one block error probability desired value from 30% effect.

Preferably, after obtaining the 2nd CQIindex by step S408, also can carry out following operation:

At first, utilize the channel quality after adjusting to indicate sequence number CQI index _NewSearch transmission block size form, obtain transmission block size TBsize.

Then, according to described transmission block size and scheduling resource quantity, obtain to revise code check.

Afterwards, the constraint bit rate output is to the channel code rate upper limit.

This step specifically can comprise judges whether this correction code check exceeds the code check carrying upper limit of awgn channel.When judged result when being, according to the code check carrying upper limit output of described awgn channel; When judged result for not the time, described correction code check remains unchanged.

If the code table that adopts is the code table that simulates under the awgn channel, can omit this step.

At last, obtain the 3rd channel quality indication sequence number CQI index.

In this step, can calculate transmission block size TB size according to the scheduling resource quantity of code check He this channel of final output.Then, recycling transmission block size is searched transmission block size form, thereby obtains the 3rd CQI sequence number.

In the present embodiment, Block Error Rate segmentation window is sliding window, and length of window is W, and sliding step is M, and wherein, W, M are positive integer, and M≤W.For example, sliding step can be 1, also can be the length of window.When sliding step equaled length of window, two sliding windows were just in time end to end.

According to a further aspect in the invention, Figure 10 shows the structural representation of the device of generation channel quality indication according to an embodiment of the invention.

In this embodiment, the device of generation channel quality indication comprises that the signal to noise ratio Changing Pattern obtains unit 11 and the signal-to-noise ratio to predict value obtains unit 12.

The signal to noise ratio Changing Pattern obtain unit 11 can according to before the signal to noise ratio of the current subframe (i.e. n subframe) that receives from channel and the current subframe from the signal to noise ratio of m subframe of channel reception, the Changing Pattern of the signal to noise ratio of acquisition channel.M can be any positive integer.For example, can choose the signal to noise ratio of current subframe and current subframe 3-32 subframe before.

The signal to noise ratio of above-mentioned channel can utilize the symbol on the receiver output planisphere to obtain, and stores.For example, the signal to noise ratio of a plurality of subframes before the current subframe can be carried out record by history window.

The Changing Pattern of the signal to noise ratio that obtains can be the signal to noise ratio random fluctuation, perhaps signal to noise ratio sustainable growth or lasting decline in a period of time scope.

The signal-to-noise ratio to predict value obtains unit 12 can obtain unit 11 resulting signal to noise ratio Changing Patterns according to the signal to noise ratio Changing Pattern, obtain the signal-to-noise ratio to predict value of n+D subframe of channel, wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

Here the channel quality indication of mentioning generates the moment (the n subframe constantly) that refers to generate the channel quality indication constantly.And channel quality indication comes into force and constantly refers to utilize the channel quality indication that generates to carry out the moment of scheduling of resource (the n+D subframe constantly).

Figure 11 shows the structural representation that the signal-to-noise ratio to predict value obtains unit 12.

The signal-to-noise ratio to predict value obtains unit 12 and comprises signal-to-noise ratio to predict pattern subelement 121, the first predictor unit 122 and the second predictor unit 123.

Signal-to-noise ratio to predict pattern subelement 121 can be selected and the corresponding signal-to-noise ratio to predict pattern of Changing Pattern according to the Changing Pattern of the signal to noise ratio of channel.

Figure 12 shows the structural representation of signal-to-noise ratio to predict pattern subelement 121.

As shown in figure 12, signal-to-noise ratio to predict pattern subelement 121 can comprise success rate prediction statistical module 1211 and success rate prediction comparison module 1212.

Wherein, success rate prediction statistical module 1211 is used for the statistical forecast success rate.The probability of success rate prediction in the success rate prediction statistical window, detecting the signal to noise ratio sustainable growth or continuing to descend.

For each subframe in the success rate prediction statistical window, success rate prediction statistical module 1211 can be judged the whether sustainable growth or continue to descend of signal to noise ratio from m subframe before to this subframe.Wherein, m can be any natural number, for example, and the whether sustainable growth or whether continue to descend of the signal to noise ratio that can judge 3～32 subframes before the current subframe.

If then this subframe is measurable, can be set to 1 in this subframe position; Otherwise this subframe is unpredictable, can be set to 0 in this subframe position.

Then, with the ratio of 1 number in this success rate prediction statistical window and length of window W as the success rate prediction that counts on the current subframe.

This success rate prediction statistical window can be sliding window.Sliding step can be M, and M is any positive integer, i.e. the exportable success rate prediction that once upgrades of every M subframe.

Success rate prediction comparison module 1212 is used for success rate prediction relatively big or small with the first success rate threshold T h1 and the second success rate threshold T h2.Wherein, in the present embodiment, the first success rate threshold value is greater than the second success rate threshold value.

When success rate prediction during greater than the first success rate threshold value, select the described first predictor unit 122 to handle; When success rate prediction during less than the second success rate threshold value, select the second predictor unit 123 to handle; When success rate prediction is between the first success rate threshold value and the second success rate threshold value, use the signal to noise ratio of current subframe as the signal-to-noise ratio to predict value of n+D subframe of described channel.Wherein, 0.3≤Th1≤0.5,0.12≤Th2≤0.25.Preferably, the first success rate threshold T h1 can be 0.2 for 0.4, the second success rate threshold T h2.And the initial value of success rate prediction can be set to 0.35.

At the different rules of signal to noise ratio, select for use different predictor unit to handle.Particularly, when signal to noise ratio current subframe and before m subframe sustainable growth or when continuing to descend, the first predictor unit 122 utilizes first predictive mode acquisition signal-to-noise ratio to predict value.When signal to noise ratio current subframe and before during m subframe random fluctuation, the second predictor unit 123 utilizes second predictive mode acquisition signal-to-noise ratio to predict value.

The process that the first predictor unit 122 adopts first predictive mode to handle can comprise: according to current subframe and the signal to noise ratio of m subframe before, the weighted average of the signal to noise ratio variable quantity of acquisition adjacent sub-frame.Then, the variable quantity predicted value that this weighted average and the product of D are compared with the signal to noise ratio of current subframe as n+D subframe.And the signal-to-noise ratio to predict value be the variable quantity predicted value of this signal to noise ratio and current subframe signal to noise ratio and.

This process can also be to predict from the signal to noise ratio of current subframe (i.e. n subframe) to be changed to the pace of change of the signal to noise ratio of n+D subframe, and obtains the signal-to-noise ratio to predict value of n+D subframe according to this pace of change.

The process that the second predictor unit 123 utilizes second predictive mode to handle can comprise: with current subframe and before the mean value of the signal to noise ratio of m subframe as the signal-to-noise ratio to predict value of n+D subframe of channel; Perhaps,

With current subframe and before the signal to noise ratio of m subframe carry out smothing filtering, and with the signal to noise ratio smooth value that the obtains signal-to-noise ratio to predict value as n+D subframe of channel.

Figure 13 shows the structural representation of the device of generation channel quality indication according to another embodiment of the invention.

This device comprises that signal to noise ratio Changing Pattern acquisition unit 21, signal-to-noise ratio to predict value obtain unit 22, code check obtains unit 23, CQI side-play amount acquisition unit 24, block error probability desired value adjustment unit 25, channel code rate constraint element 26, channel quality indication sequence number acquisition unit 27 and modulation system selected cell 28.

The signal to noise ratio Changing Pattern obtains the signal to noise ratio that unit 21 is used for m subframe namely receiving from channel before the signal to noise ratio of n subframe and the current subframe according to the current subframe that receives from channel, the Changing Pattern of the signal to noise ratio of acquisition channel.

The signal-to-noise ratio to predict value obtains the Changing Pattern that unit 22 is used for according to signal to noise ratio, obtains the signal-to-noise ratio to predict value of n+D subframe of channel.Wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

The signal to noise ratio Changing Pattern obtain unit 21 and signal-to-noise ratio to predict value obtain unit 22 can be respectively with a last embodiment in the signal to noise ratio Changing Pattern obtain unit 11 and signal-to-noise ratio to predict value to obtain unit 12 identical, do not repeat them here.

Code check obtains unit 23 can obtain the code check corresponding with the signal-to-noise ratio to predict value according to the corresponding relation of signal-to-noise ratio to predict value and code check.

Alternatively, can obtain the code check corresponding with the signal-to-noise ratio to predict value by searching the signal to noise ratio rate tables.

Also can simulate signal to noise ratio code check formula by Computer Simulation, then this signal to noise ratio code check formula of signal to noise ratio substitution that obtains just can be calculated code check.

This signal to noise ratio code check formula can obtain by the following method:

At first, by Computer Simulation, obtain to make the Block Error Rate mean value of throughput maximum.The maximized Block Error Rate mean value of throughput is 1% under a kind of preferred awgn channel.

Then, block error probability desired value is made as this Block Error Rate mean value.

Afterwards, according to this block error probability desired value, acquisition can reach the required signal to noise ratio of all transmission blocks of this block error probability desired value.

According to the corresponding code check of transmission block and the signal to noise ratio that obtains, just can obtain signal to noise ratio code check formula.This signal to noise ratio code check formula can for:

E _c＝ax ²+bx+c

Wherein, E _cBe code check, x is signal to noise ratio, and coefficient a, b and c obtain by emulation.

The CQI side-play amount obtains unit 24 by the Block Error Rate alignment procedures, obtains channel quality indication sequence number side-play amount Deta_CQI.

Figure 14 is the structural representation that the CQI side-play amount obtains unit 24.

As shown in figure 14, CQI side-play amount acquisition unit 24 can comprise Block Error Rate statistical module 241 and Block Error Rate comparison module 242.

Block Error Rate statistical module 241 is added up for the CRC result to channel demodulation in Block Error Rate segmentation window, to obtain Block Error Rate.

Block Error Rate comparison module 242 is used for this Block Error Rate and the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold are compared, and adjusts channel quality indication sequence number side-play amount according to comparative result.Wherein, the first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold.

When this Block Error Rate is higher than the first Block Error Rate convergence threshold, reduce current channel quality indication sequence number side-play amount, and the Block Error Rate in the statistics of error rate segmentation window again.

When this Block Error Rate is lower than the second Block Error Rate convergence threshold, raise current channel quality indication sequence number side-play amount, and the Block Error Rate in the statistics of error rate segmentation window again.

When this Block Error Rate is between the first Block Error Rate convergence threshold and the described second Block Error Rate convergence threshold, keep described channel quality indication sequence number side-play amount constant.

The described first Block Error Rate convergence threshold is B _t* F _d, the described second Block Error Rate convergence threshold is B _t* F _u, wherein, B _tBe block error probability desired value, F _uBe climbing number, 0≤F _u≤ 1, F _dBe decline coefficient, 1≤F _d≤ 2, and F _u+ F _d=2.

In the present embodiment, utilize the CQI side-play amount to obtain the Deta_CQI that unit 24 obtains, can adjust the code check that code check acquisition unit 23 obtains according to following formula:

E _New=E _c* (R^Deta_CQI), wherein,

E _NewFor revising code check, E _cBe the code check that obtains among the step C, R is the ratio between bulk and the fritter between adjacent transmission block in the transmission block size sequence number table, and Deta_CQI is described channel quality indication sequence number side-play amount.

QOS class requirement detecting unit 25 can comprise that QOS class requirement detection module 251 and block error probability desired value obtain module 252.Wherein, QOS class requirement detection module 251 is for detection of the QOS class requirement of business; Block error probability desired value obtains module 252 and is used for the QoS grade that obtains according to detection, searches professional block error probability desired value adjustment form, obtaining the Block Error Rate corresponding with this QoS grade, and with this Block Error Rate as the block error probability desired value at described business.

Channel code rate constraint element 26 can be constrained to bit rate output the channel code rate upper limit.

Particularly, can judge whether this correction code check exceeds the code check carrying upper limit of awgn channel, when judged result when being, export according to the code check carrying upper limit of described awgn channel; When judged result for not the time, described correction code check remains unchanged.

Channel quality indication sequence number obtains unit 27 can calculate the big or small TB size of transmission block according to the scheduling resource quantity of code check He this channel of final output.Then, recycling transmission block size is searched transmission block size form, thereby obtains the CQI sequence number.

Modulation system selected cell 28 can be according to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode.Wherein, the first modulation thresholding is less than the second modulation thresholding.

When code check is modulated thresholding less than first, select quaternary phase shift modulation system QPSK; When code check is between the first modulation thresholding and the second modulation thresholding, select to comprise the quadrature amplitude modulation mode 16QAM of 16 kinds of symbols; When code check is modulated thresholding greater than described second, select to comprise the quadrature amplitude modulation mode 64QAM of 64 kinds of symbols.

Figure 15 shows the structural representation of the device of generation channel quality indication according to still another embodiment of the invention.

As shown in figure 15, this device comprises that signal to noise ratio Changing Pattern acquisition unit 31, signal-to-noise ratio to predict value obtain unit 32, first code check acquisition unit 33, CQI side-play amount acquisition unit 34, block error probability desired value adjustment unit 35, first channel quality indication sequence number acquisition unit 36, second channel quality indication sequence number acquisition unit 37, second code check acquisition unit 38, channel code rate constraint element 39, second channel quality indication sequence number acquisition unit 40 and modulation system selected cell 41.

Wherein, signal to noise ratio Changing Pattern acquisition unit 31, signal-to-noise ratio to predict value obtain unit 32 and first code check obtains unit 33 and first channel quality indication sequence number acquisition unit 36 carries out interior ring control, to obtain a CQI index value; The CQI side-play amount obtains unit 34 and carries out outer shroud control, to obtain the CQI side-play amount.

Compare with a last embodiment, difference is, utilizes the CQI side-play amount to obtain the Deta_CQI that unit 34 obtains, and can the CQI that first channel quality indication sequence number acquisition unit 36 obtains be adjusted, thereby directly obtains the 2nd CQI index value.

Particularly, channel quality is indicated sequence number side-play amount Deta_CQI and first channel quality indication sequence number obtains that unit 36 obtains CQI's and indicate sequence number CQI index as the channel quality after adjusting _New, i.e. CQI index _New=CQI index+Deta_CQI.

Then, obtaining unit 38 by second code check utilizes the channel quality after adjusting to indicate sequence number CQI index _NewSearch transmission block size form, obtain transmission block size TBsize, and according to transmission block size and scheduling resource quantity, obtain to revise code check.39 pairs of above-mentioned bit rate outputs of channel code rate constraint element retrain.

Particularly, judge whether this correction code check exceeds the code check carrying upper limit of awgn channel, when judged result when being, export according to the code check carrying upper limit of described awgn channel; When judged result for not the time, described correction code check remains unchanged.

The 3rd channel quality indication sequence number obtains unit 40 according to the scheduling resource quantity of code check and this channel of final output, calculates transmission block size TB size.Then, recycling transmission block size is searched transmission block size form, thereby obtains the CQI sequence number.

Modulation system selected cell 41 is according to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode.

It will be understood by those of skill in the art that method that the present invention is recorded as the power statistic result is not limited to 1 or 0 scheme is set in subframe position, also can adopt additive method to be recorded as the power statistic result.

So far, described the method and apparatus of indicating according to generation channel quality of the present invention in detail.For fear of covering design of the present invention, details more known in the field are not described.Those skilled in the art can understand fully and how implement technical scheme disclosed herein according to top description.

Though by example specific embodiments more of the present invention are had been described in detail, it should be appreciated by those skilled in the art that above example only is in order to describe, rather than in order to limit the scope of the invention.It should be appreciated by those skilled in the art, can under situation about not departing from the scope of the present invention with spirit, above embodiment be made amendment.Scope of the present invention is limited by claims.

Claims (35)

1. one kind generates the method that channel quality is indicated, and it is characterized in that this method comprises:

Steps A, according to the current subframe that receives from described channel namely before the signal to noise ratio of n subframe and the described current subframe from the signal to noise ratio of m subframe of described channel reception, obtain the Changing Pattern of the signal to noise ratio of described channel, wherein, n and m are natural number;

Step B according to the Changing Pattern of described signal to noise ratio, obtains the signal-to-noise ratio to predict value of n+D subframe of described channel, and wherein, D is that the channel quality indication generates constantly and channel quality is indicated the delay sub-frame number that comes into force between the moment.

2. the method for claim 1 is characterized in that,

The Changing Pattern of the signal to noise ratio of described channel is signal to noise ratio random fluctuation or signal to noise ratio sustainable growth or lasting decline,

Described step B comprises:

According to the Changing Pattern of the signal to noise ratio of described channel, select and the corresponding signal-to-noise ratio to predict pattern of described Changing Pattern;

When signal to noise ratio current subframe and before m subframe sustainable growth or when continuing to descend, utilize first predictive mode acquisition signal-to-noise ratio to predict value, described first predictive mode is:

According to described current subframe and the signal to noise ratio of m subframe before, obtain the weighted average of the signal to noise ratio variable quantity of adjacent sub-frame, and obtain the signal-to-noise ratio to predict value of described n+D subframe according to this weighted average, perhaps

Prediction is changed to the pace of change of the signal to noise ratio of described n+D subframe from the signal to noise ratio of described current subframe, and obtains the signal-to-noise ratio to predict value of described n+D subframe according to this pace of change;

When signal to noise ratio described current subframe and before during m subframe random fluctuation, utilize second predictive mode acquisition signal-to-noise ratio to predict value, described second predictive mode is:

With described current subframe and before the mean value of the signal to noise ratio of m subframe as the signal-to-noise ratio to predict value of n+D subframe of described channel, perhaps

With described current subframe and before the signal to noise ratio of m subframe carry out smothing filtering, and with the signal to noise ratio smooth value that the obtains signal-to-noise ratio to predict value as n+D subframe of described channel.

3. method as claimed in claim 2 is characterized in that, the step of described selection signal-to-noise ratio to predict pattern comprises:

The statistical forecast success rate, the probability of described success rate prediction in the success rate prediction statistical window, detecting the signal to noise ratio sustainable growth or continuing to descend;

With described success rate prediction and the first success rate threshold T h1 and second success rate threshold T h2 size relatively, wherein the first success rate threshold value is greater than the second success rate threshold value,

When described success rate prediction during greater than the described first success rate threshold value, select first predictive mode to handle;

When described success rate prediction during less than the described second success rate threshold value, select second predictive mode to handle;

When described success rate prediction is between the described first success rate threshold value and the second success rate threshold value, use the signal to noise ratio of described current subframe as the signal-to-noise ratio to predict value of n+D subframe of described channel,

Wherein, 0.3≤Th1≤0.5,0.12≤Th2≤0.25.

4. method as claimed in claim 3 is characterized in that, the described first success rate threshold value is that 0.4, the second success rate threshold value is 0.2.

5. method as claimed in claim 3 is characterized in that, the step of described statistical forecast success rate comprises:

For each subframe in the described success rate prediction statistical window, judge the whether sustainable growth or continue decline of signal to noise ratio from m subframe before to this subframe, if then this subframe is measurable, otherwise this subframe is unpredictable;

Described success rate prediction is the ratio of subframe sum in the number of the measurable subframe in the described success rate prediction statistical window and this window, and this success rate prediction statistical window is sliding window.

6. method as claimed in claim 2 is characterized in that, the described step of utilizing first predictive mode to obtain the signal-to-noise ratio to predict value comprises:

Utilize current subframe and before the signal to noise ratio changing value of adjacent sub-frame in m subframe, and by following signal-to-noise ratio to predict formula, obtain the current subframe signal-to-noise ratio to predict value of D subframe afterwards:

$\mathrm{SNR}(\hat{n}+D)=\mathrm{snr}\left(n\right)+[k_1,k_2,...,k_j,...,k_m]\×\left[\begin{array}{c}\mathrm{\Δ}{\mathrm{snr}}_1\\ \mathrm{\Δ}{\mathrm{snr}}_2\\ ...\\ \mathrm{\Δ}{\mathrm{snr}}_j\\ ...\\ \mathrm{\Δ}{\mathrm{snr}}_m\end{array}\right]\×D\×\mathrm{\γ},$ Wherein,

Δsnr ₁＝snr(n)-snr(n-1)，

Δsnr ₂＝snr(n-1)-snr(n-2)，

…

Δsnr _j＝snr(n-j+1)-snr(n-j)，

…

Δsnr _m＝snr(n-m+1)-snr(n-m)，

M is any positive integer, and snr (n) is the signal to noise ratio of current subframe, and snr (n-j) is the current subframe signal to noise ratio of j subframe before, k _jBe Δ snr _jWeight coefficient, 0≤k _j≤ 1, and

γ is for the prediction modifying factor, as Δ snr _jAll greater than 0 o'clock, γ was the arithmetic number less than 1, as Δ snr _jAll less than 0 o'clock, γ was the arithmetic number greater than 1.

7. method as claimed in claim 6 is characterized in that,

As Δ snr _jAll greater than 0 o'clock, γ=0.9;

As Δ snr _jAll less than 0 o'clock, γ=1.1.

8. method as claimed in claim 6 is characterized in that, obtains described weight coefficient by the following method adaptively:

Set a plurality of candidate's weight coefficient groups;

According to described signal-to-noise ratio to predict formula, utilize n-D-m subframe to signal to noise ratio and described a plurality of candidate's weight coefficient group of n-D subframe, obtain the i.e. a plurality of signal-to-noise ratio to predict values of n subframe of current subframe;

In described a plurality of signal-to-noise ratio to predict values, select and the immediate signal-to-noise ratio to predict value of the signal-to-noise ratio measurements of described current subframe;

With the weight coefficient group of the corresponding candidate's weight coefficient of selected signal-to-noise ratio to predict value group as current subframe.

9. method as claimed in claim 8 is characterized in that,

When m=3, three weight coefficients are respectively: k ₁=0.4, k ₂=0.35, k ₃=0.25.

10. method as claimed in claim 2 is characterized in that, in described first predictive mode, the step that obtains the signal-to-noise ratio to predict value according to the pace of change of signal to noise ratio comprises:

Utilize current subframe and before the signal to noise ratio changing value of adjacent sub-frame in m subframe, and obtain the current subframe predicted value of the signal to noise ratio of D subframe afterwards according to following signal-to-noise ratio to predict formula,

$\mathrm{SNR}(\hat{n}+D)=\mathrm{snr}\left(n\right)+\mathrm{\Δsnr},$

Wherein, Δ snr=A Δ ²+ B Δ+C, Δ=snr (n)-snr (n-1), coefficient A, B and C utilize the signal to noise ratio of a plurality of subframes before this subframe and obtain according to following equation:

$\left\{\begin{array}{c}\mathrm{snr}\left(n\right)-\mathrm{snr}(n-D)=A{(\mathrm{snr}\left(n\right)-\mathrm{snr}(n-1))}^2+B(\mathrm{snr}\left(n\right)-\mathrm{snr}(n-1))+C\\ \mathrm{snr}(n-1)-\mathrm{snr}(n-D-1)=A{(\mathrm{snr}(n-1)-\mathrm{snr}(n-2))}^2+B(\mathrm{snr}(n-1)-\mathrm{snr}(n-2))+C\\ \mathrm{snr}(n-2)-\mathrm{snr}(n-D-2)=A{(\mathrm{snr}(n-2)-\mathrm{snr}(n-3))}^2+B(\mathrm{snr}(n-2)-\mathrm{snr}(n-3))+C\end{array}\right..$

11. method as claimed in claim 2 is characterized in that, in described second predictive mode, the step of signal to noise ratio being carried out smothing filtering comprises:

To described current subframe and before the noise of m subframe carry out that linear averaging is handled or logarithmic mean is handled, with the smooth value of the described signal to noise ratio of smooth value that obtains signal to noise ratio be:

$\widetilde{\mathrm{SNR}}\left(n\right)=\mathrm{snr}\left(n\right)\×\mathrm{\α}+\widetilde{\mathrm{SNR}}(n-1)\×(1-\mathrm{\α}),$

Wherein, snr (n) is the signal-to-noise ratio measurements of current subframe, and α is smoothing factor, 0≤α≤1.

12. method as claimed in claim 11 is characterized in that,

1/8≤α≤1/2。

13. the method for claim 1 is characterized in that, described method also comprises:

Step C according to the corresponding relation of described signal-to-noise ratio to predict value and code check, obtains the code check corresponding with described signal-to-noise ratio to predict value;

Step D according to the scheduling resource quantity of described code check and described channel, obtains channel quality indication sequence number CQI index.

14. method as claimed in claim 13 is characterized in that, described step C comprises:

Utilize described signal-to-noise ratio to predict value, obtain the code check corresponding with described signal-to-noise ratio to predict value by searching the signal to noise ratio rate tables; Perhaps

Utilize signal to noise ratio code check formula, calculate the code check corresponding with described signal-to-noise ratio to predict value.

15. method as claimed in claim 14 is characterized in that, described signal to noise ratio code check formula obtains by the following method:

By Computer Simulation, obtain to make the Block Error Rate mean value of throughput maximum, and block error probability desired value is set at this Block Error Rate mean value;

According to described block error probability desired value, obtain to reach the required signal to noise ratio of all transmission blocks of this block error probability desired value;

According to the corresponding code check of described transmission block and the signal to noise ratio that obtains, obtain described signal to noise ratio code check formula, this signal to noise ratio code check formula is:

E _c＝ax ²+bx+c

Wherein, E _cBe code check, x is signal to noise ratio, and coefficient a, b and c obtain by emulation.

16. method as claimed in claim 13 is characterized in that, described method also comprises:

Step e obtains the step that channel quality is indicated sequence number side-play amount Deta_CQI,

This step comprises:

E1. in Block Error Rate segmentation window to the cyclic redundancy check (CRC) of described channel demodulation as a result CRC add up, to obtain Block Error Rate;

E2. with this Block Error Rate and the first Block Error Rate convergence threshold and second Block Error Rate convergence threshold size relatively, and adjust channel quality according to comparative result and indicate the sequence number side-play amount, wherein, the described first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold, the initial value of described channel quality indication sequence number side-play amount is zero

When this Block Error Rate is higher than the described first Block Error Rate convergence threshold, reduce current letter

Road quality indication sequence number side-play amount, and execution in step E1 and E2 again;

When this Block Error Rate is lower than the described second Block Error Rate convergence threshold, raise current letter

Road quality indication sequence number side-play amount, and execution in step E1 and E2 again;

When this Block Error Rate is in the described first Block Error Rate convergence threshold and described second Block Error Rate

In the time of between the convergence threshold, keep described channel quality indication sequence number side-play amount constant.

17. method as claimed in claim 16 is characterized in that, the described first Block Error Rate convergence threshold is B _t* F _d, the described second Block Error Rate convergence threshold is B _t* F _u, wherein, B _tBe block error probability desired value, F _uBe climbing number, 0≤F _u≤ 1, F _dBe decline coefficient, 1≤F _d≤ 2, and F _u+ F _d=2.

18. method as claimed in claim 17, F _u=0.5, F _d=1.5.

19. method as claimed in claim 16 is characterized in that, described block error probability desired value is to adjust according to the service quality QOS class requirement of business.

20. method as claimed in claim 19 is characterized in that, the described step of adjusting according to the service quality QOS class requirement of business comprises:

Detect the QoS grade of described business;

According to the QoS grade that detection obtains, search professional block error probability desired value adjustment form, obtaining the Block Error Rate corresponding with this QoS grade, and with this Block Error Rate as the block error probability desired value at described business.

21. method as claimed in claim 16 is characterized in that, described method also is included in after the step C, utilize described channel quality indication sequence number side-play amount, and according to following formula, obtain to revise code check,

E _New=E _c* (R^Deta_CQI), wherein,

E _NewFor revising code check, E _cBe the code check that obtains among the step C, R is the ratio between bulk and the fritter between adjacent transmission block in the transmission block size sequence number table, and Deta_CQI is described channel quality indication sequence number side-play amount.

22. method as claimed in claim 21 is characterized in that, described method also comprises, after the step of described acquisition correction code check,

Judge whether described correction code check exceeds the code check carrying upper limit of additive white Gaussian noise awgn channel,

When judged result when being, according to the code check carrying upper limit bit rate output of described awgn channel;

When judged result for not the time, described correction code check remains unchanged.

23. method as claimed in claim 16 is characterized in that, described method also comprises:

After step D, with described channel quality indication sequence number side-play amount and resulting channel quality indication sequence number in step D and as the channel quality indicator (CQI) after the adjustment _New

24. method as claimed in claim 23 is characterized in that, the channel quality indicator (CQI) after described acquisition is adjusted _NewStep after, described method also comprises:

Utilize described CQI _NewSearch transmission block size form, obtain the transmission block size;

According to described transmission block size and scheduling resource quantity, obtain to revise code check;

Judge whether described correction code check exceeds the code check carrying upper limit of awgn channel,

When judged result when being, according to the code check carrying upper limit output of described awgn channel;

When judged result for not the time, described correction code check remains unchanged.

25. method as claimed in claim 16 is characterized in that, described Block Error Rate segmentation window is sliding window, and length of window is W, and sliding step is M, and wherein, W, M are positive integer, and M≤W.

26. method as claimed in claim 25 is characterized in that, described adjustment to channel quality indication side-play amount is carried out at described Block Error Rate segmentation window edge.

27. method as claimed in claim 25 is characterized in that, described adjustment to channel quality indication side-play amount is carried out in described Block Error Rate segmentation window interior, and the step of adjusting channel quality indication side-play amount when described window interior comprises:

Judge whether the redundant cyclic check CRC window that accumulates on the current subframe reaches minimum CRC window;

When judged result when being, obtain Block Error Rate, described Block Error Rate is the ratio of number of errors and the described Block Error Rate segmentation statistical window length of CRC in the described current C RC window.

28. method as claimed in claim 13 is characterized in that, described method also comprises:

According to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode, wherein, the first modulation thresholding is modulated thresholding less than second,

When code check is modulated thresholding less than described first, select quaternary phase shift modulation system QPSK;

When code check is between the described first modulation thresholding and the second modulation thresholding, select to comprise the quadrature amplitude modulation mode 16QAM of 16 kinds of symbols;

When code check is modulated thresholding greater than described second, select to comprise the quadrature amplitude modulation mode 64QAM of 64 kinds of symbols.

29. a device that generates the channel quality indication is characterized in that this device comprises:

The signal to noise ratio Changing Pattern obtains the unit, be used for according to the current subframe that receives from described channel namely before the signal to noise ratio of n subframe and the described current subframe from the signal to noise ratio of m subframe of described channel reception, obtain the Changing Pattern of the signal to noise ratio of described channel, wherein, n and m are natural number;

The signal-to-noise ratio to predict value obtains the unit, is used for the Changing Pattern according to described signal to noise ratio, obtains the signal-to-noise ratio to predict value of n+D subframe of described channel, and wherein, D is the delay sub-frame number between the channel quality indication generation moment and channel quality indication come into force constantly.

30. device as claimed in claim 29 is characterized in that, the Changing Pattern of the signal to noise ratio of described channel is signal to noise ratio random fluctuation or signal to noise ratio sustainable growth or continues to descend;

Described signal-to-noise ratio to predict value obtains the unit and comprises:

Signal-to-noise ratio to predict pattern subelement is used for the Changing Pattern according to the signal to noise ratio of described channel, selects and the corresponding signal-to-noise ratio to predict pattern of described Changing Pattern;

The first predictor unit, when signal to noise ratio current subframe and before m subframe sustainable growth or when continuing to descend, utilize first predictive mode acquisition signal-to-noise ratio to predict value,

Described first predictive mode is according to described current subframe and the signal to noise ratio of m subframe before, obtains the weighted average of the signal to noise ratio variable quantity of adjacent sub-frame, and obtains the signal-to-noise ratio to predict value of described n+D subframe according to this weighted average, perhaps

Prediction is changed to the pace of change of the signal to noise ratio of described n+D subframe from the signal to noise ratio of described current subframe, and obtains the signal-to-noise ratio to predict value of described n+D subframe according to this pace of change;

The second predictor unit, when signal to noise ratio current subframe and before during m subframe random fluctuation, utilize second predictive mode acquisition signal-to-noise ratio to predict value,

Described second predictive mode be with described current subframe and before the mean value of the signal to noise ratio of m subframe as the signal-to-noise ratio to predict value of n+D subframe of described channel, perhaps

With described current subframe and before the signal to noise ratio of m subframe carry out smothing filtering, and with the signal to noise ratio smooth value that the obtains signal-to-noise ratio to predict value as n+D subframe of described channel.

31. device as claimed in claim 30 is characterized in that, described signal-to-noise ratio to predict pattern subelement comprises:

The success rate prediction statistical module is used for the statistical forecast success rate, the probability of described success rate prediction in the success rate prediction statistical window, detecting the signal to noise ratio sustainable growth or continuing to descend, wherein,

For each subframe in the described success rate prediction statistical window, described success rate prediction statistical module is judged the whether sustainable growth or continue decline of signal to noise ratio from m subframe before to this subframe, if then this subframe is measurable, otherwise this subframe is unpredictable

Described success rate prediction is the ratio of subframe sum in the number of the measurable subframe in the described success rate prediction statistical window and the described window, and this success rate prediction statistical window is sliding window;

The success rate prediction comparison module is used for described success rate prediction relatively big or smallly with the first success rate threshold T h1 and the second success rate threshold T h2, and wherein the first success rate threshold value is greater than the second success rate threshold value, wherein,

When described success rate prediction during greater than the described first success rate threshold value, select the described first predictor unit to handle;

When described success rate prediction during less than the described second success rate threshold value, select the described second predictor unit to handle,

When described success rate prediction is between the described first success rate threshold value and the second success rate threshold value, use the signal to noise ratio of described current subframe as the signal-to-noise ratio to predict value of n+D subframe of described channel, wherein, 0.3≤Th1≤0.5,0.12≤Th2≤0.25.

32. device as claimed in claim 29 is characterized in that, described device also comprises:

Code check obtains the unit, is used for the corresponding relation according to described signal-to-noise ratio to predict value and code check, obtains the code check corresponding with described signal-to-noise ratio to predict value;

Channel quality indication sequence number obtains the unit, is used for the scheduling resource quantity according to described code check and described channel, obtains channel quality indication sequence number CQI index.

33. device as claimed in claim 32 is characterized in that, described device comprises that also the CQI side-play amount obtains the unit, and this unit comprises:

The Block Error Rate statistical module is added up for the CRC result to described channel demodulation in Block Error Rate segmentation window, to obtain Block Error Rate;

The Block Error Rate comparison module, be used for this Block Error Rate and the first Block Error Rate convergence threshold and the second Block Error Rate convergence threshold are compared, and adjust channel quality indication sequence number side-play amount according to comparative result, wherein, the described first Block Error Rate convergence threshold is greater than the second Block Error Rate convergence threshold

When this Block Error Rate is higher than the described first Block Error Rate convergence threshold, reduce current channel quality indication sequence number side-play amount, and the Block Error Rate in the statistics of error rate segmentation window again,

When this Block Error Rate is lower than the described second Block Error Rate convergence threshold, raise current channel quality indication sequence number side-play amount, and the Block Error Rate in the statistics of error rate segmentation window again,

When this Block Error Rate is between the described first Block Error Rate convergence threshold and the described second Block Error Rate convergence threshold, keep described channel quality indication sequence number side-play amount constant,

The described first Block Error Rate convergence threshold is B _t* F _d, the described second Block Error Rate convergence threshold is B _t* F _u, wherein, B _tBe block error probability desired value, F _uBe climbing number, 0≤F _u≤ 1, F _dBe decline coefficient, 1≤F _d≤ 2, and F _u+ F _d=2.

34. device as claimed in claim 33 is characterized in that, this device also comprises: the block error probability desired value adjustment unit, and this unit comprises:

QOS class requirement detection module is for detection of the QOS class requirement of business;

Block error probability desired value obtains module, is used for the QoS grade that obtains according to detection, searches professional block error probability desired value adjustment form, obtaining the Block Error Rate corresponding with this QoS grade, and with this Block Error Rate as the block error probability desired value at described business.

35. device as claimed in claim 32 is characterized in that, this device also comprises the modulation system selected cell,

Described modulation system selected cell is used for according to code check, the first modulation thresholding and the second modulation thresholding selecting modulation mode, and wherein, the first modulation thresholding is modulated thresholding less than second,

When code check is modulated thresholding less than described first, select quaternary phase shift modulation system QPSK;

When code check is between the described first modulation thresholding and the second modulation thresholding, select to comprise the quadrature amplitude modulation mode 16QAM of 16 kinds of symbols;

When code check is modulated thresholding greater than described second, select to comprise the quadrature amplitude modulation mode 64QAM of 64 kinds of symbols.

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