CN108476093B - Method for calculating signal-to-noise ratio and User Equipment (UE) - Google Patents

Method for calculating signal-to-noise ratio and User Equipment (UE) Download PDF

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CN108476093B
CN108476093B CN201580085344.XA CN201580085344A CN108476093B CN 108476093 B CN108476093 B CN 108476093B CN 201580085344 A CN201580085344 A CN 201580085344A CN 108476093 B CN108476093 B CN 108476093B
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rbir
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snr
coefficient
data stream
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CN108476093A (en
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原进宏
赵越
黄涛
程型清
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Huawei Technologies Co Ltd
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    • H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
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Abstract

The invention discloses a method for calculating a signal-to-noise ratio and UE (user equipment), which can save storage resources and improve the calculation rate. The method provided by the embodiment of the invention comprises the following steps: acquiring a pilot signal; calculating a channel coefficient value corresponding to the pilot signal; calculating a first signal-to-noise ratio (SNR) of each subcarrier of the target data stream according to the current signal-to-noise ratio, the channel coefficient value and the related parameters of the linear receiver, and calculating a second SNR of each subcarrier under ideal interference elimination; calculating a first average Received Bit Information Rate (RBIR) of subcarriers of the target data stream according to the first SNR, and calculating a second average RBIR of subcarriers of the target data stream according to the second SNR; calculating a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, wherein the first interpolation coefficient is related to modulation order, and the second interpolation coefficient is related to coding efficiency; mapping the third average RBIR to a third SNR.

Description

Method for calculating signal-to-noise ratio and User Equipment (UE)
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method for calculating a signal-to-noise ratio and a User Equipment (UE).
Background
The maximum likelihood receiver is a common receiver technology, how to effectively evaluate the performance of the maximum likelihood receiver, particularly how to accurately feed back a Channel Quality Indicator (CQI), and how to improve the system capacity are problems to be solved, and how to effectively predict the Signal-to-Noise Ratio (SNR) of the maximum likelihood receiver is a key point of the problem.
Currently, the method for predicting the SNR of the maximum likelihood receiver is: UE acquires a pilot signal; the UE calculates a channel coefficient value corresponding to the pilot signal; the UE calculates a first SNR of each subcarrier of the target data stream according to the current signal-to-noise ratio, the channel coefficient value and the related parameters of the linear receiver, and calculates a second SNR of each subcarrier under ideal interference elimination; the UE calculates a first average Received Bit Rate (RBIR) of a subcarrier of a target data stream according to a first SNR, and calculates a second average RBIR of the subcarrier of the target data stream according to a second SNR; the UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR and the second average RBIR; the UE maps the third average RBIR to a third SNR.
Because the interpolation coefficient exists in the above specific method for calculating the third SNR, and the interpolation coefficient is tightly coupled with the modulation order and the coding efficiency, a plurality of fitting parameters need to be stored for predicting the BLER, for example, if there are M different modulation orders and N different coding efficiencies, (M × N) fitting parameters are needed, a large amount of storage resources are wasted, and the calculation rate is not high.
Disclosure of Invention
The embodiment of the invention provides a method for calculating a signal-to-noise ratio and UE (user equipment), which can save storage resources and improve the calculation rate.
In view of the above, a first aspect of the present invention provides a method for calculating a signal-to-noise ratio, which may include:
user Equipment (UE) acquires a pilot signal;
the UE calculates a channel coefficient value corresponding to the pilot signal;
the UE calculates a first signal-to-noise ratio (SNR) of each subcarrier of a target data stream according to the current signal-to-noise ratio, the channel coefficient value and related parameters of a linear receiver, and calculates a second SNR of each subcarrier under ideal interference elimination;
the UE calculates a first average Received Bit Information Rate (RBIR) of subcarriers of the target data stream according to the first SNR, and calculates a second average RBIR of subcarriers of the target data stream according to the second SNR;
the UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, wherein the first interpolation coefficient is related to modulation order, and the second interpolation coefficient is related to coding efficiency;
the UE maps the third average RBIR to a third SNR.
In combination with the first aspect of the present invention, a first embodiment of the first aspect of the present invention includes:
the UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient and the second interpolation coefficient, and the third average RBIR is as follows:
calculating the third average RBIR by the following equation:
RBIRML＝βm(RBIRIF-RBIRMMSE)+RBIRMMSE+αγ；
wherein the RBIRMMSE、RBIRIFAnd RBIRMLThe first, second and third average RBIR, respectively, and the betamIs the first interpolation coefficient, the alphaγIs the second interpolation coefficient.
In combination with the first aspect of the present invention, a second embodiment of the first aspect of the present invention includes:
the UE calculating a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient and the second interpolation coefficient comprises:
the UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter and the second channel parameter; the first correction coefficient is an influence parameter of a channel correlation coefficient on the modulation order, the second correction coefficient is an influence parameter of the channel correlation coefficient on the coding efficiency, the third correction coefficient is an influence parameter of the correlation between the receiving antenna and the transmitting antenna on the demodulation performance, the first channel parameter is obtained through estimation of a first preset matrix, and the second channel parameter is obtained through estimation of a second preset matrix.
With reference to the second embodiment of the first aspect of the present invention, a third embodiment of the first aspect of the present invention includes:
the calculating, by the UE, a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter, and the second channel parameter specifically includes:
calculating the third average RBIR by the following equation:
Figure GPA0000245016530000051
wherein the RBIRMMSE、RBIRIFAnd RBIRMLThe first, second and third average RBIR, respectively, and the betamIs the first interpolation coefficient, the alphaγFor the second interpolation coefficient, the Δm、ΔγAnd ΔcRespectively representing a first correction coefficient, a second correction coefficient and a third correction coefficient, deltarRepresenting a first channel parameter, said deltatRepresenting the second channel parameters.
With reference to the first aspect of the present invention, the first embodiment of the first aspect, the second embodiment of the first aspect, the third embodiment of the first aspect, and the fourth embodiment of the first aspect of the present invention include:
the UE calculates a first average received bit information rate RBIR of the subcarriers of the target data stream according to the first SNR, and calculates a second average RBIR of the subcarriers of the target data stream according to the second SNR specifically as follows:
calculating the first average RBIR and the second average RBIR by the following formulas:
Figure GPA0000245016530000052
and
Figure GPA00002450165300000511
wherein RBIRMMSEAnd RBIRIFRespectively represent the first average RBIR and the second average RBIR, NCThe number of subcarriers of the target data stream,
Figure GPA0000245016530000053
representing the first SNR for the first signal-to-noise ratio,
Figure GPA0000245016530000054
representing the second SNR for the second signal-to-noise ratio,
Figure GPA0000245016530000055
and
Figure GPA0000245016530000056
the following formula is satisfied:
Figure GPA0000245016530000057
and
Figure GPA0000245016530000058
wherein the content of the first and second substances,
Figure GPA0000245016530000059
an RBIR representing a K-th subcarrier of the target data stream corresponding to the first SNR,
Figure GPA00002450165300000510
RBIR, log representing a K-th sub-carrier of the target data stream corresponding to the second SNR2(mk MMSE) Represents the number of bits transmitted on the K sub-carrier of the target data stream corresponding to the first SNR, log2(mIF k) Represents the number of bits transmitted on the Kth subcarrier of the target data stream corresponding to the second SNR,
Figure GPA0000245016530000061
a Kth subcarrier representing the target data stream at a first SNR of
Figure GPA0000245016530000062
Mutual information when the modulation order is m,
Figure GPA0000245016530000063
a Kth subcarrier representing the target data stream at a second SNR of
Figure GPA0000245016530000064
Mutual information when the modulation order is m, and
Figure GPA0000245016530000065
and
Figure GPA0000245016530000066
the following formula is satisfied:
Figure GPA0000245016530000067
wherein
Figure GPA0000245016530000068
A probability density function representing the symbol-level log-likelihood ratio of the jth constellation point when the SNR is equal to γ.
With reference to the first aspect of the present invention, the first embodiment of the first aspect of the present invention, the second embodiment of the first aspect of the present invention, the third embodiment of the first aspect of the present invention, the fourth embodiment of the first aspect of the present invention, and the fifth embodiment of the first aspect of the present invention include:
the UE determines a Channel Quality Indicator (CQI) according to the third SNR;
and the UE sends the CQI to a base station.
In view of the above, a second aspect of the present invention provides a user equipment UE, which may include:
an acquisition unit configured to acquire a pilot signal;
a first calculating unit, configured to calculate a channel coefficient value corresponding to the pilot signal;
a second calculating unit, configured to calculate a first SNR of each subcarrier of the target data stream according to the current SNR, the channel coefficient value, and a correlation parameter of the linear receiver, and calculate a second SNR of each subcarrier under ideal interference cancellation;
a third calculating unit, configured to calculate a first average received bit information rate RBIR of subcarriers of the target data stream according to the first SNR, and calculate a second average RBIR of subcarriers of the target data stream according to the second SNR;
a fourth calculating unit, configured to calculate a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, where the first interpolation coefficient is related to a modulation order, and the second interpolation coefficient is related to coding efficiency;
a mapping unit for mapping the third average RBIR to a third SNR.
In combination with the second aspect of the present invention, a first embodiment of the second aspect of the present invention includes:
the fourth calculating unit is specifically configured to calculate the third average RBIR according to the following formula:
RBIRML＝βm(RBIRIF-RBIRMMSE)+RBIRMMSE+αγ；
wherein the RBIRMMSE、RBIRIFAnd RBIRMLThe first, second and third average RBIR, respectively, and the betamIs the first interpolation coefficient, the alphaγIs the second interpolation coefficient.
In combination with the second aspect of the present invention, a second embodiment of the second aspect of the present invention includes:
the fourth calculating unit is specifically configured to calculate a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter, and the second channel parameter; the first correction coefficient is an influence parameter of a channel correlation coefficient on the modulation order, the second correction coefficient is an influence parameter of the channel correlation coefficient on the coding efficiency, the third correction coefficient is an influence parameter of the correlation between the receiving antenna and the transmitting antenna on the demodulation performance, the first channel parameter is obtained through estimation of a first preset matrix, and the second channel parameter is obtained through estimation of a second preset matrix.
With reference to the second embodiment of the second aspect of the present invention, a third embodiment of the second aspect of the present invention includes:
the fourth calculating unit is specifically configured to calculate the third average RBIR according to the following formula:
Figure GPA0000245016530000071
wherein the RBIRMMSE、RBIRIFAnd RBIRMLThe first, second and third average RBIR, respectively, and the betamIs the first interpolation coefficient, the alphaγFor the second interpolation coefficient, the Δm、ΔγAnd ΔcRespectively representing a first correction coefficient, a second correction coefficient and a third correction coefficient, deltarRepresenting a first channel parameter, said deltatRepresenting the second channel parameters.
In combination with the second aspect of the present invention, the first embodiment of the second aspect of the present invention, the second embodiment of the second aspect of the present invention, the third embodiment of the second aspect of the present invention, and the fourth embodiment of the second aspect of the present invention include:
the third calculating unit is specifically configured to calculate the first average RBIR and the second average RBIR according to the following formulas:
Figure GPA0000245016530000072
wherein RBIRMMSEAnd RBIRIFRespectively represent the first average RBIR and the second average RBIR, NCThe number of subcarriers of the target data stream,
Figure GPA0000245016530000081
representing the first SNR for the first signal-to-noise ratio,
Figure GPA0000245016530000082
representing the second SNR for the second signal-to-noise ratio,
Figure GPA0000245016530000083
and
Figure GPA0000245016530000084
the following formula is satisfied:
Figure GPA0000245016530000085
and
Figure GPA0000245016530000086
wherein the content of the first and second substances,
Figure GPA0000245016530000087
an RBIR representing a K-th subcarrier of the target data stream corresponding to the first SNR,
Figure GPA0000245016530000088
RBIR, log representing a K-th sub-carrier of the target data stream corresponding to the second SNR2(mk MMSE) Represents the number of bits transmitted on the K sub-carrier of the target data stream corresponding to the first SNR, log2(mIF k) Representing the number of targets corresponding to the second SNRThe number of bits transmitted on the kth subcarrier of the data stream,
Figure GPA0000245016530000089
a Kth subcarrier representing the target data stream at a first SNR of
Figure GPA00002450165300000810
Mutual information when the modulation order is m,
Figure GPA00002450165300000811
a Kth subcarrier representing the target data stream at a second SNR of
Figure GPA00002450165300000812
Mutual information when the modulation order is m, and
Figure GPA00002450165300000813
and
Figure GPA00002450165300000814
the following formula is satisfied:
Figure GPA00002450165300000815
wherein
Figure GPA00002450165300000816
A probability density function representing the symbol-level log-likelihood ratio of the jth constellation point when the SNR is equal to γ.
With reference to the second aspect of the present invention, the first embodiment of the second aspect of the present invention, the second embodiment of the second aspect of the present invention, the third embodiment of the second aspect of the present invention, the fourth embodiment of the second aspect of the present invention, the fifth embodiment of the second aspect of the present invention includes:
the UE further comprises:
a determining unit, configured to determine a channel quality indicator CQI according to the third SNR;
and the sending unit is used for sending the CQI to a base station.
According to the technical scheme, the embodiment of the invention has the following advantages: because the first interpolation coefficient is related to the modulation order and the second interpolation coefficient is related to the coding efficiency, the method is different from the prior art that the interpolation coefficient is not related to the modulation order and the coding efficiency, the number of fitting parameters needing to be stored is reduced, and therefore the method can save storage resources and improve the calculation rate.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
FIG. 1 is a schematic flow chart of a method according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of another method of an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a UE according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a server structure according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method for calculating a signal-to-noise ratio and UE (user equipment), which can save storage resources and improve the calculation rate.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1, an embodiment of a method for calculating a signal-to-noise ratio according to an embodiment of the present invention includes:
101. user Equipment (UE) acquires a pilot signal;
in this embodiment, in order to obtain the signal coefficient value, the UE acquires a pilot signal.
It should be noted that the pilot Signal may be a Reference Signal (RS).
102. The UE calculates a channel coefficient value corresponding to the pilot signal;
after the UE acquires the pilot signal, the UE calculates a channel coefficient value corresponding to the pilot signal through the pilot signal.
103. The UE calculates a first signal-to-noise ratio (SNR) of each subcarrier of the target data stream according to the current signal-to-noise ratio, the channel coefficient value and the related parameters of the linear receiver, and calculates a second SNR of each subcarrier under ideal interference elimination;
after the UE calculates the channel coefficient value, the UE obtains the current signal-to-noise ratio, the UE calculates the first signal-to-noise ratio SNR of each subcarrier of the target data stream according to the current signal-to-noise ratio, the channel coefficient value and the related parameters of the linear receiver, and calculates the second SNR of each subcarrier under ideal interference elimination.
It should be noted that the linear receiver includes a linear Minimum Mean Square Error (MMSE) receiver.
104. The UE calculates a first average Received Bit Information Rate (RBIR) of a subcarrier of the target data stream according to the first SNR, and calculates a second average RBIR of the subcarrier of the target data stream according to the second SNR;
after the UE calculates the first SNR and the second SNR, the UE calculates a first average Received Bit Information Rate (RBIR) of the subcarriers of the target data stream according to the first SNR, and calculates a second average RBIR of the subcarriers of the target data stream according to the second SNR.
It should be noted that the UE calculates the RBIR of each subcarrier, and after calculating the RBIRs of all subcarriers, the UE averages the calculated RBIRs to obtain an average RBIR of all subcarriers of the target data stream.
Optionally, in some embodiments of the present invention, the UE calculates a first average received bit information rate RBIR of subcarriers of the target data stream according to the first SNR, and calculates a second average RBIR of subcarriers of the target data stream according to the second SNR specifically:
calculating the first average RBIR and the second average RBIR by the following equations:
Figure GPA0000245016530000101
and
Figure GPA0000245016530000102
wherein RBIRMMSEAnd RBIRIFRespectively represent a first average RBIR and a second average RBIR, NCIs the number of sub-carriers of the data stream,
Figure GPA0000245016530000103
which represents the first SNR, is the first SNR,
Figure GPA0000245016530000104
representing the second SNR.
Figure GPA0000245016530000105
And
Figure GPA0000245016530000106
the following formula is satisfied:
Figure GPA0000245016530000107
and
Figure GPA0000245016530000108
wherein the content of the first and second substances,
Figure GPA0000245016530000109
an RBIR representing a K-th subcarrier of the target data stream corresponding to the first SNR,
Figure GPA00002450165300001010
RBIR, log representing a K-th sub-carrier of the target data stream corresponding to the second SNR2(mk MMSE) Represents the number of bits transmitted on the K sub-carrier of the target data stream corresponding to the first SNR, log2(mIF k) Represents the number of bits transmitted on the Kth subcarrier of the target data stream corresponding to the second SNR,
Figure GPA0000245016530000111
a Kth subcarrier representing the target data stream at a first SNR of
Figure GPA0000245016530000112
Mutual information when the modulation order is m,
Figure GPA0000245016530000113
a Kth subcarrier representing the target data stream at a second SNR of
Figure GPA0000245016530000114
Mutual information when the modulation order is m, and
Figure GPA0000245016530000115
and
Figure GPA0000245016530000116
the following formula is satisfied:
Figure GPA0000245016530000117
wherein
Figure GPA0000245016530000118
A probability density function representing the symbol-level log-likelihood ratio of the jth constellation point when the SNR is equal to γ.
105. The UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, wherein the first interpolation coefficient is related to the modulation order, and the second interpolation coefficient is related to the coding efficiency;
after the UE calculates the first average RBIR and the second average RBIR, the UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, wherein the first interpolation coefficient is related to the modulation order, and the second interpolation coefficient is related to the coding efficiency.
Optionally, in some embodiments of the present invention, the calculating, by the UE, a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, and the second interpolation coefficient specifically includes:
the third average RBIR is calculated by the following formula:
RBIRML＝βm(RBIRIF-RBIRMMSE)+RBIRMMSE+αγ；
wherein, RBIRMMSE、RBIRIFAnd RBIRMLFirst, second, and third average RBIR, respectively, and betamIs said first interpolation coefficient, αγIs the second interpolation coefficient.
It should be noted that, in practical applications, if there are M different modulation orders and N different coding efficiencies, the present invention is applicableThe number of the fitting parameters required to be stored is (M + N), and the first interpolation coefficient betamOnly associated with modulation orders, different modulation orders corresponding to different betamAnd (4) taking values. Similarly, the second interpolation coefficient αγOnly with respect to coding efficiency, different coding efficiencies corresponding to different alpha' sγAnd (4) taking values.
106. The UE maps the third average RBIR to a third SNR.
And after the UE calculates the third average RBIR, the UE maps the third average RBIR into a third SNR.
Optionally, in some embodiments of the present invention, after mapping the third average RBIR to the third SNR, the UE includes:
the UE determines a Channel Quality Indicator (CQI) according to the third SNR;
the UE sends the CQI to the base station.
After receiving the CQI, the base station recalculates the CQI and transmits a signal to the UE according to the recalculated CQI.
In this embodiment, since the first interpolation coefficient is related to the modulation order and the second interpolation coefficient is related to the coding efficiency, which is different from the prior art in which the interpolation coefficient is not related to the modulation order and the coding efficiency, the number of fitting parameters to be stored is reduced, and thus the present invention can save storage resources and improve the calculation rate.
Next, the present embodiment describes in detail a method of calculating the second average RBIR, and a method of calculating the third average RBIR, making the present invention more specific.
Finally, the UE determines the CQI according to the third SNR and sends the CQI to the base station, so that the base station can recalculate the CQI and further send signals to the UE.
As the existing scheme does not optimize the correlation of the channel, and the invention makes further optimization to reflect the correlation of the channel, please refer to fig. 2, another embodiment of the method for calculating the signal-to-noise ratio in the embodiment of the invention includes:
201. user Equipment (UE) acquires a pilot signal;
202. the UE calculates a channel coefficient value corresponding to the pilot signal;
203. the UE calculates a first signal-to-noise ratio (SNR) of each subcarrier of the target data stream according to the current signal-to-noise ratio, the channel coefficient value and the related parameters of the linear receiver, and calculates a second SNR of each subcarrier under ideal interference elimination;
204. the UE calculates a first average Received Bit Information Rate (RBIR) of a subcarrier of the target data stream according to the first SNR, and calculates a second average RBIR of the subcarrier of the target data stream according to the second SNR;
in this embodiment, step 201, step 202, step 203, and step 204 are similar to step 101, step 102, step 103, and step 104, respectively, and are not described herein again.
205. The UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter and the second channel parameter;
it should be noted that the first correction coefficient is an influence parameter of a channel correlation coefficient on a modulation order, the second correction coefficient is an influence parameter of a channel correlation coefficient on coding efficiency, the third correction coefficient is an influence parameter of correlation between a receiving antenna and a transmitting antenna on demodulation performance, the first channel parameter is obtained by estimating a first preset matrix, and the second channel parameter is obtained by estimating a second preset matrix.
It should be noted that, in practical application, the first channel parameter is obtained by estimating through the first preset matrix, and the second channel parameter is obtained by estimating through the second preset matrix specifically as follows:
the first channel parameter and the second channel parameter can be calculated by the following method:
the channel matrix associated with the above channel coefficient values may be decomposed into:
Figure GPA0000245016530000131
wherein the content of the first and second substances,
Figure GPA00002450165300001310
including the zero mean value of the average of the values,consider an exponential channel correlation model.
Figure GPA00002450165300001311
Wherein deltar∈[0，1]Denotes a first channel parameter, δt∈[0，1]Denotes a second channel parameter, δrAnd deltatRespectively can pass through
Figure GPA0000245016530000137
And
Figure GPA0000245016530000138
and (4) calculating.
Optionally, in some embodiments of the present invention, the calculating, by the UE, a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter, and the second channel parameter specifically includes:
the third average RBIR is calculated by the following formula:
Figure GPA0000245016530000139
wherein, RBIRMMSE、RBIRIFAnd RBIRMLFirst, second, and third average RBIR, respectively, and betamIs the first interpolation coefficient, alphaγIs the second interpolation coefficient, Δm、ΔγAnd ΔcRespectively representing a first correction coefficient, a second correction coefficient and a third correction coefficient, deltarRepresenting a first channel parameter, δtRepresenting the second channel parameters.
It should be noted that the first correction coefficient, the second correction coefficient, and the third correction coefficient need to be searched in a large amount of data in a case that other factors, such as a certain modulation order, coding efficiency, and channel condition, are fixed, and the values of the correction coefficients are different for different transmission conditions.
It should be noted that, in practical applications, if there are M different modulation orders and N different coding efficiencies, the number of fitting parameters that need to be stored in the present invention is (M + N), and the first interpolation coefficient β ismOnly associated with modulation orders, different modulation orders corresponding to different betamAnd (4) taking values. Similarly, the second interpolation coefficient αγOnly with respect to coding efficiency, different coding efficiencies corresponding to different alpha' sγAnd (4) taking values.
206. The UE maps the third average RBIR to a third SNR.
And after the UE calculates the third average RBIR, the UE maps the third average RBIR into a third SNR.
Optionally, in some embodiments of the present invention, after mapping the third average RBIR to the third SNR, the UE includes:
the UE determines a Channel Quality Indicator (CQI) according to the third SNR;
the UE sends the CQI to the base station.
After receiving the CQI, the base station recalculates the CQI and transmits a signal to the UE according to the recalculated CQI.
In this embodiment, since the first interpolation coefficient is related to the modulation order and the second interpolation coefficient is related to the coding efficiency, which is different from the prior art in which the interpolation coefficient is not related to the modulation order and the coding efficiency, the number of fitting parameters to be stored is reduced, and thus the present invention can save storage resources and improve the calculation rate.
Secondly, in order to reflect the channel correlation, the present embodiment further optimizes the BLER obtained by prediction according to the present invention and the BLER obtained by actual simulation, so that the reported CQI is more accurate.
Referring to fig. 3, a UE according to the present invention is described below, where an embodiment of the UE according to the present invention includes:
an acquisition unit 301, regarding acquisition of a pilot signal;
a first calculating unit 302, configured to calculate a channel coefficient value corresponding to a pilot signal;
a second calculating unit 303, configured to calculate a first signal-to-noise ratio SNR of each subcarrier of the target data stream according to the current signal-to-noise ratio, the channel coefficient value, and the correlation parameter of the linear receiver, and calculate a second SNR of each subcarrier under ideal interference cancellation;
a third calculating unit 304, configured to calculate a first average received bit information rate RBIR of subcarriers of the target data stream according to the first SNR, and calculate a second average RBIR of subcarriers of the target data stream according to the second SNR;
a fourth calculating unit 305, configured to calculate a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, where the first interpolation coefficient is related to the modulation order and the second interpolation coefficient is related to the coding efficiency;
a mapping unit 306, configured to map the third average RBIR to a third SNR.
In this embodiment, since the first interpolation coefficient is related to the modulation order and the second interpolation coefficient is related to the coding efficiency, which is different from the prior art in which the interpolation coefficient is not related to the modulation order and the coding efficiency, the number of fitting parameters to be stored is reduced, and thus the present invention can save storage resources and improve the calculation rate.
Optionally, in some embodiments of the present invention, the fourth calculating unit 305 is specifically configured to calculate the third average RBIR according to the following formula:
RBIRML＝βm(RBIRIF-RBIRMMSE)+RBIRMMSE+αγ；
wherein, RBIRMMSE、RBIRIFAnd RBIRMLFirst, second, and third average RBIR, respectively, and betamIs the first interpolation coefficient, alphaγIs the second interpolation coefficient.
Optionally, in some embodiments of the present invention, the fourth calculating unit 305 is specifically configured to calculate a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first modification coefficient, the second modification coefficient, the third modification coefficient, the first channel parameter, and the second channel parameter; the first correction coefficient is an influence parameter of a channel correlation coefficient on a modulation order, the second correction coefficient is an influence parameter of the channel correlation coefficient on coding efficiency, the third correction coefficient is an influence parameter of correlation between a receiving antenna and a transmitting antenna on demodulation performance, the first channel parameter is obtained through estimation of a first preset matrix, and the second channel parameter is obtained through estimation of a second preset matrix. Further optionally, in some embodiments of the present invention, the fourth calculating unit 305 is specifically configured to calculate the third average RBIR according to the following formula:
Figure GPA0000245016530000151
wherein, RBIRMMSE、RBIRIFAnd RBIRMLFirst, second, and third average RBIR, respectively, and betamIs said first interpolation coefficient, αγIs the second interpolation coefficient, Δm、ΔγAnd ΔcRespectively representing a first correction coefficient, a second correction coefficient and a third correction coefficient, deltarRepresenting a first channel parameter, δtRepresenting the second channel parameters.
Optionally, in some embodiments of the present invention, the third calculating unit 304 is specifically configured to calculate the first average RBIR and the second average RBIR by the following formulas:
Figure GPA0000245016530000161
and
Figure GPA0000245016530000162
wherein RBIRMMSEAnd RBIRIFRespectively represent a first average RBIR and a second average RBIR, NCAs a sub-carrier of a target data streamThe number of the waves is set to be,
Figure GPA0000245016530000163
which represents the first SNR, is the first SNR,
Figure GPA0000245016530000164
representing the second SNR.
Figure GPA0000245016530000165
And
Figure GPA0000245016530000166
the following formula is satisfied:
Figure GPA0000245016530000167
and
Figure GPA0000245016530000168
wherein the content of the first and second substances,
Figure GPA0000245016530000169
indicates the RBIR of the K-th sub-carrier of the target data stream corresponding to the first SNR,
Figure GPA00002450165300001610
RBIR, log of K sub-carrier of target data stream corresponding to second SNR2(mk MMSE) Represents the number of bits transmitted on the K sub-carrier of the target data stream corresponding to the first SNR, log2(mIF k) Indicating the number of bits transmitted on the kth subcarrier of the target data stream corresponding to the second SNR,
Figure GPA00002450165300001611
the Kth sub-carrier representing the target data stream has a first SNR of
Figure GPA00002450165300001612
Mutual information when the modulation order is m,
Figure GPA00002450165300001613
the Kth subcarrier representing the target data stream has a second SNR of
Figure GPA00002450165300001614
Mutual information when the modulation order is m, and
Figure GPA00002450165300001615
and
Figure GPA00002450165300001616
the following formula is satisfied:
Figure GPA00002450165300001617
wherein
Figure GPA00002450165300001618
A probability density function representing the symbol-level log-likelihood ratio of the jth constellation point when the SNR is equal to γ.
Optionally, in some embodiments of the present invention, the UE further includes:
a determining unit, configured to determine a channel quality indicator CQI according to the third SNR;
and the sending unit is used for sending the CQI to a base station.
It should be noted that, in practical applications, if there are M different modulation orders and N different coding efficiencies, the number of fitting parameters that need to be stored in the present invention is (M + N), and the first interpolation coefficient β ismOnly associated with modulation orders, different modulation orders corresponding to different betamAnd (4) taking values. Similarly, the second interpolation coefficient αγOnly with respect to coding efficiency, different coding efficiencies corresponding to different alpha' sγAnd (4) taking values.
In addition, the first channel parameter and the second channel parameter may be calculated by the following method:
the channel matrix associated with the above channel coefficient values may be decomposed into:
Figure GPA0000245016530000171
wherein the content of the first and second substances,
Figure GPA0000245016530000179
including zero mean, consider the exponential channel correlation model.
Figure GPA00002450165300001710
Wherein deltar∈[0，1]Denotes a first channel parameter, δt∈[0，1]Denotes a second channel parameter, δrAnd deltatRespectively can pass through
Figure GPA0000245016530000177
And
Figure GPA0000245016530000178
and (4) calculating.
Referring to fig. 4, an embodiment of the server according to the present invention further provides a server, where an embodiment of the server according to the present invention includes:
fig. 4 is a schematic diagram of a server 400 according to an embodiment of the present invention, where the server 400 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 401 (e.g., one or more processors), one or more storage media 404 (e.g., one or more mass storage devices) for storing applications 402 or data 403. Storage media 404 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 404 may include one or more modules (not shown), each of which may include a sequence of instruction operations for the switch. Further, the central processor 401 may be provided in communication with the storage medium 404, and execute a series of instruction operations in the storage medium 404 on the server 400.
The server 400 may also include one or more power supplies 405, one or more wired or wireless network interfaces 406, one or more input/output interfaces 407, and/or one or more operating systems 408, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
The steps performed by the UE in the above embodiments may be based on the server structure shown in fig. 4.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (6)

1. A method of calculating a signal-to-noise ratio, comprising:
user Equipment (UE) acquires a pilot signal;
the UE calculates a channel coefficient value corresponding to the pilot signal;
the UE calculates a first signal-to-noise ratio (SNR) of each subcarrier of a target data stream according to the current signal-to-noise ratio, the channel coefficient value and related parameters of a linear receiver, and calculates a second SNR of each subcarrier under ideal interference elimination;
the UE calculates a first average Received Bit Information Rate (RBIR) of subcarriers of the target data stream according to the first SNR, and calculates a second average RBIR of subcarriers of the target data stream according to the second SNR;
the UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, wherein the first interpolation coefficient is only related to the modulation order, and the second interpolation coefficient is only related to the coding efficiency;
the UE maps the third average RBIR to a third SNR;
wherein the UE calculating a third average RBIR of a maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, and the second interpolation coefficient comprises:
the UE calculates a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter and the second channel parameter; the first correction coefficient is an influence parameter of a channel correlation coefficient on the modulation order, the second correction coefficient is an influence parameter of the channel correlation coefficient on the coding efficiency, the third correction coefficient is an influence parameter of the correlation between the receiving antenna and the transmitting antenna on the demodulation performance, the first channel parameter is obtained by estimating a first preset matrix, and the second channel parameter is obtained by estimating a second preset matrix;
wherein, the calculating, by the UE, the third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter, and the second channel parameter specifically includes:
calculating the third average RBIR by the following equation:
Figure FDA0002994446370000011
wherein the RBIRMMSE、RBIRIFAnd RBIRMLThe first, second and third average RBIR, respectively, and the betamIs the first interpolation coefficient, the alphaγFor the second interpolation coefficient, the Δm、ΔγAnd ΔcRespectively representing a first correction coefficient, a second correction coefficient and a third correction coefficient, deltarRepresenting a first channel parameter, said deltatRepresenting the second channel parameters.
2. The method of claim 1, wherein the UE calculates a first average received bit information rate, RBIR, for the subcarriers of the target data stream according to the first SNR and calculates a second average RBIR for the subcarriers of the target data stream according to the second SNR by:
calculating the first average RBIR and the second average RBIR by the following formulas:
Figure FDA0002994446370000012
and
Figure FDA0002994446370000013
wherein RBIRMMSEAnd RBIRIFRespectively represent the first average RBIR and the second average RBIR, NCThe number of subcarriers of the target data stream,
Figure FDA0002994446370000021
representing the first SNR for the first signal-to-noise ratio,
Figure FDA0002994446370000022
representing the second SNR for the second signal-to-noise ratio,
Figure FDA0002994446370000023
and
Figure FDA0002994446370000024
the following formula is satisfied:
Figure FDA0002994446370000025
and
Figure FDA0002994446370000026
wherein the content of the first and second substances,
Figure FDA0002994446370000027
an RBIR representing a K-th subcarrier of the target data stream corresponding to the first SNR,
Figure FDA0002994446370000028
RBIR, log representing a K-th sub-carrier of the target data stream corresponding to the second SNR2(mk MMSE) Represents the number of bits transmitted on the K sub-carrier of the target data stream corresponding to the first SNR, log2(mIF k) Represents the number of bits transmitted on the Kth subcarrier of the target data stream corresponding to the second SNR,
Figure FDA0002994446370000029
a Kth subcarrier representing the target data stream at a first SNR of
Figure FDA00029944463700000210
Mutual information when the modulation order is m,
Figure FDA00029944463700000211
a Kth subcarrier representing the target data stream at a second SNR of
Figure FDA00029944463700000212
Mutual information when the modulation order is m, and
Figure FDA00029944463700000213
and
Figure FDA00029944463700000214
the following formula is satisfied:
Figure FDA00029944463700000215
wherein
Figure FDA00029944463700000216
A probability density function representing the symbol-level log-likelihood ratio of the jth constellation point when the SNR is equal to γ.
3. The method of claim 2, wherein the UE maps the third average RBIR to a third SNR, and thereafter comprises:
the UE determines a Channel Quality Indicator (CQI) according to the third SNR;
and the UE sends the CQI to a base station.
4. A User Equipment (UE), comprising:
an acquisition unit configured to acquire a pilot signal;
a first calculating unit, configured to calculate a channel coefficient value corresponding to the pilot signal;
a second calculating unit, configured to calculate a first SNR of each subcarrier of the target data stream according to the current SNR, the channel coefficient value, and a correlation parameter of the linear receiver, and calculate a second SNR of each subcarrier under ideal interference cancellation;
a third calculating unit, configured to calculate a first average received bit information rate RBIR of subcarriers of the target data stream according to the first SNR, and calculate a second average RBIR of subcarriers of the target data stream according to the second SNR;
a fourth calculation unit, configured to calculate a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, a first interpolation coefficient and a second interpolation coefficient, where the first interpolation coefficient is only related to modulation order, and the second interpolation coefficient is only related to coding efficiency;
a mapping unit for mapping the third average RBIR to a third SNR;
the fourth calculating unit is specifically configured to calculate a third average RBIR of the maximum likelihood receiver according to the first average RBIR, the second average RBIR, the first interpolation coefficient, the second interpolation coefficient, the first correction coefficient, the second correction coefficient, the third correction coefficient, the first channel parameter, and the second channel parameter; the first correction coefficient is an influence parameter of a channel correlation coefficient on the modulation order, the second correction coefficient is an influence parameter of the channel correlation coefficient on the coding efficiency, the third correction coefficient is an influence parameter of the correlation between the receiving antenna and the transmitting antenna on the demodulation performance, the first channel parameter is obtained by estimating a first preset matrix, and the second channel parameter is obtained by estimating a second preset matrix;
the fourth calculating unit is specifically configured to calculate the third average RBIR according to the following formula:
Figure FDA0002994446370000031
wherein the RBIRMMSE、RBIRIFAnd RBIRMLThe first, second and third average RBIR, respectively, and the betamIs the first interpolation coefficient, the alphaγFor the second interpolation coefficient, the Δm、ΔγAnd ΔcRespectively representing a first correction coefficient, a second correction coefficient and a third correction coefficient, deltarRepresenting a first channel parameter, said deltatRepresenting the second channel parameters.
5. The UE of claim 4,
the third calculating unit is specifically configured to calculate the first average RBIR and the second average RBIR according to the following formulas:
Figure FDA0002994446370000032
and
Figure FDA00029944463700000319
wherein RBIRMMSEAnd RBIRIFRespectively represent the first average RBIR and a second average RBIR, NCThe number of subcarriers of the target data stream,
Figure FDA0002994446370000033
representing the first SNR for the first signal-to-noise ratio,
Figure FDA0002994446370000034
representing the second SNR for the second signal-to-noise ratio,
Figure FDA0002994446370000035
and
Figure FDA0002994446370000036
the following formula is satisfied:
Figure FDA0002994446370000037
and
Figure FDA0002994446370000038
wherein the content of the first and second substances,
Figure FDA0002994446370000039
an RBIR representing a K-th subcarrier of the target data stream corresponding to the first SNR,
Figure FDA00029944463700000310
RBIR, log representing a K-th sub-carrier of the target data stream corresponding to the second SNR2(mk MMSE) Represents the number of bits transmitted on the K sub-carrier of the target data stream corresponding to the first SNR, log2(mIF k) Represents the number of bits transmitted on the Kth subcarrier of the target data stream corresponding to the second SNR,
Figure FDA00029944463700000311
a Kth subcarrier representing the target data stream at a first SNR of
Figure FDA00029944463700000312
Mutual information when the modulation order is m,
Figure FDA00029944463700000313
a Kth subcarrier representing the target data stream at a second SNR of
Figure FDA00029944463700000314
Mutual information when the modulation order is m, and
Figure FDA00029944463700000315
and
Figure FDA00029944463700000316
the following formula is satisfied:
Figure FDA00029944463700000317
wherein
Figure FDA00029944463700000318
A probability density function representing the symbol-level log-likelihood ratio of the jth constellation point when the SNR is equal to γ.
6. The UE of claim 4, wherein the UE further comprises:
a determining unit, configured to determine a channel quality indicator CQI according to the third SNR;
and the sending unit is used for sending the CQI to a base station.
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