CN106412931B - A kind of LTE-U clear channel assessment based on multi-slot syncretizing mechanism - Google Patents

A kind of LTE-U clear channel assessment based on multi-slot syncretizing mechanism Download PDF

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CN106412931B
CN106412931B CN201611174009.XA CN201611174009A CN106412931B CN 106412931 B CN106412931 B CN 106412931B CN 201611174009 A CN201611174009 A CN 201611174009A CN 106412931 B CN106412931 B CN 106412931B
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lte
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channel
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CN106412931A (en
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申滨
赵思聪
黄磊
郑建宏
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Chongqing University of Post and Telecommunications
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W16/00Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/14Spectrum sharing arrangements between different networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/382Monitoring; Testing of propagation channels for resource allocation, admission control or handover
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W28/00Network traffic management; Network resource management
    • H04W28/02Traffic management, e.g. flow control or congestion control
    • H04W28/0252Traffic management, e.g. flow control or congestion control per individual bearer or channel
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W74/00Wireless channel access
    • H04W74/08Non-scheduled access, e.g. ALOHA
    • H04W74/0833Random access procedures, e.g. with 4-step access
    • H04W74/0841Random access procedures, e.g. with 4-step access with collision treatment
    • H04W74/085Random access procedures, e.g. with 4-step access with collision treatment collision avoidance

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The present invention relates to a kind of LTE-U clear channel assessments based on multi-slot syncretizing mechanism, belong to LTE-U in mobile communication technology (LTE in unlicensed spectrum) technical field.LTE-U system works in unauthorized frequency range, and system generally requires carry out clear channel assessment (CCA) before accessing channel.Firstly, entire CCA window is divided into multiple time slots by LTE-U system;Secondly, sampling matrix is generated using the sampled data of multiple time slots, it calculates its covariance matrix and obtains characteristic value, unequal weighting is carried out to each corresponding time slot using the characteristic value of ascending order arrangement, assess performance to improve channel status when CCA window is not exclusively aligned with data packet.Clear channel assessment based on multi-slot Weighted Fusion mechanism can effectively improve the accuracy rate of channel status judgement, different inter-system data packet collision probabilities are reduced, and then promote LTE-U system and the WIFI system spectrum efficiency that cochannel coexists in unauthorized frequency range.

Description

A kind of LTE-U clear channel assessment based on multi-slot syncretizing mechanism
Technical field
LTE-U (LTE in the invention belongs to wireless communication technology field, in especially unauthorized frequency range Unlicensed spectrum) clear channel assessment (CCA) technical field of the system when accessing channel, it is related to a kind of based on multi-slot The LTE-U clear channel assessment of syncretizing mechanism.
Background technique
LTE-U is the emerging technology that 3GPP proposes for alleviating authorized spectrum band communication load pressure in recent years, it can allow LTE system is deployed in unauthorized frequency range (common frequency band) by operator.Using the technical advantage of LTE, unauthorized frequency can be improved The spectrum efficiency of Duan Pin reaches simultaneously also by flow is transferred to unauthorized frequency range from authorized spectrum band and alleviates existing authorization frequency The purpose of communication pressure in section.Due to the regional open policy of unauthorized frequency range and the limitation of spectral characteristic, LTE-U technology will Applied to the unauthorized frequency range near 5GHz.The frequency range mainly has WIFI (IEEE 802.11a) system using at present, therefore It is mainly concentrated in both at home and abroad about the research of LTE-U and allows LTE-U and WIFI system harmonious coexistence in the frequency range.
It is to allow LTE-U using LBT (Listen Before currently based on the co-existence schemes that fairness (contention access) considers Talk) the Channel Access Mechanism of mode, i.e. LTE-U equipment first carry out clear channel assessment (CCA) (Clear before accessing channel Channel Assessment, CCA).If LTE-U equipment does not find WIFI signal during CCA, then visual channel is sky Spare time busy channel and can transmit data;Conversely, cannot then access channel.Meanwhile in order to make other systems also have an opportunity to access Channel, LTE-U equipment will reserve one section of free timeslot after the data transfer is complete, so that other systems use channel spectrum.LBT Under CCA generally use single node energy measuring (Energy Detection, ED) method, can be described as ED-CCA.ED-CCA is first To time domain signal sampling modulus, required modulus value is squared, the summation that then adds up is averaged again, will finally be averaged and system Preset detection threshold value is compared, and judges that (or other reside in unauthorized frequency range and are WIFI system according to comparison result System) transmission state.
What if the sampling window (carrying out the time interval of data acquisition to destination channel) of ED-CCA was sent with WIFI When data packet is perfectly aligned or is staggered, there can be preferable judgement to channel status.However, in the actual environment, by It is asynchronous between the long uncertainty of WIFI data packet packet and LTE-U device request access channel time point and WIFI timing Property, prevent practical CCA sampling window often with WIFI data packet from perfectly aligned, therefore, causes to receive in sampling window WIFI signal it is less and cause the erroneous judgement to channel status.In addition, the structure design of CCA is relatively fixed, can only generally pass through The width of sampling window is set to adapt to coexisted environment, cannot neatly apply data fusion and judgement side according to current demand Method.Accordingly, the present invention ED-CCA there are aiming at the problem that, propose a kind of based on multi-slot (Multi-Slot) syncretizing mechanism CCA method.
Summary of the invention
In view of this, for ED-CCA sampling window is not exclusively aligned with WIFI data packet under practical circumstances when to channel The problem of state judgement shortcoming accuracy, the purpose of the present invention is to provide a kind of, and the LTE-U based on multi-slot syncretizing mechanism is empty CCA sampling window is divided into multiple time slots in LTE-U equipment by channel assessment method, utilizes the characteristic value for receiving signal Information carries out the weighting of uneven equal weight to the reception data of each time slot, then weighted fusion algorithm is generated global detection statistic (Global Test Statistic, GTS), and make final threshold value judgement.Theory analysis and the results show: this hair The MS-CCA algorithm of bright proposition than existing ED-CCA in the case where data packet is not exclusively aligned with CCA sampling window, to letter The occupancy situation in road can more accurately judge, number occurs when cochannel coexists so as to reduce LTE-U and WIFI system According to the probability of packet collision, and then lifting system coexistence efficiency.
In order to achieve the above objectives, the invention provides the following technical scheme:
A kind of LTE-U clear channel assessment based on multi-slot syncretizing mechanism, in the method, LTE-U terminal exists The CCA that at least 20 μ s are first carried out before access channel, is divided into multiple time slots for original CCA window, using in multiple time slots Data form signal sampling matrix Y, according to sampling matrix obtain sampled signal covariance matrix Ry, calculate covariance matrix Ry Characteristic value and composition characteristic value matrix Λ;Unequal weighting is carried out to each time slot using Λ, is finally merged by weighted gain Mode generates global detection statistic GTS, and carries out destination channel and whether there is the conclusive judgement of WIFI signal.
Further, described that original CCA window is divided into multiple time slots, divide the standard of time slot specifically: A length of 4 μ s when OFDM symbol specified in WIFI802.11a standard, a length of minimum unit, MS-CCA when with single OFDM symbol Window width is not less than 20 μ s and should be the integral multiple of OFDM symbol duration, and timeslot number is CCA sampling window duration TCCADivided by OFDM symbol duration T0FDM
Further, the acquisition eigenvalue matrix specifically: sampling matrix is formed according to the sampled data in multi-slot Y, the hits in each time slot is N ', timeslot number S, acquires its covariance matrix R using Yy, calculate characteristic value then to collect The form of conjunction indicates are as follows: λ={ λ1, λ2..., λs, ordered set λ '={ λ is obtained in ascending orderj1, λj2..., λjS};Sequence The element in set meets { λ laterj1≤λj2≤…≤λjS, wherein { j1, j2 ..., jS } is the row again to { 1,2 ..., S } Sequence;λ ' is write as diagonal matrix form and obtains Λ.
Further, the method for weighting specifically: the characteristic value obtained by sampling matrix Y and through multi-slot signal processing MatrixIt is weighted gain merging, is enabled:
Z (n)=ΛTY (n), according to formulaWeighted gain combined value is calculated as GTS.
Further, by T and according to desired false-alarm probability PFA,DESThe decision threshold γ of calculating is compared, and is made final Judgement:Work as TMS-CCAMore than or equal to γ2When, it adjudicates as H1, indicate that judgement PU signal exists; Conversely, judgement is H0, indicate that judgement PU signal is not present.
The beneficial effects of the present invention are:
1) effectively improve WIFI data packet and CCA sampling window it is unjustified when, LTE-U terminal to channel status just True judgement.By the unequal weighting to different time-gap, the specific gravity of several time slots below is aggravated, to not before being sampled as (referring to Fig. 5 scene 1) when perfectly aligned, since MS-CCA method gives the rear higher weight of several time slots, so that receiving signal In WIFI signal component amplified and enhanced, to reduce false dismissal probability.After being sampled as to when incomplete alignment (referring to Fig. 5 scene 2), the specific gravity that MS-CCA weakens the WIFI signal component in reception signal avoids to reduce false-alarm probability Because be judged to it is busy due to need to wait for wasting channel resource to next CCA period.
2) structure of MS-CCA makes it more flexible and changeable compared to tradition CCA in the use of data fusion mode, Excellent soft data blending algorithm can be cooperated to bring more preferable judgement performance.
3) from the point of view of data processing, the judgement lower hard decision fusion side of complexity is can be used in the structure of MS-CCA Method, i.e., each time slot individually make judgement, and the court verdict of each time slot is then carried out fusion and makes conclusive judgement.Hard decision melts Conjunction can select fusion criterion as needed, if you need to maximize protect WIFI user from LTE-U user due to missing inspection caused by do When disturbing, OR fusion criterion can be used.If pursuing the maximization of frequency spectrum resource utilization rate, AND fusion criterion can be used.
Detailed description of the invention
In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out Illustrate:
Fig. 1 is LTE-U channel estimating access system model;
Fig. 2 is the LBT mechanism and its parameter that ETSI is formulated;
Fig. 3 is that CCA desired alignment samples schematic diagram;
Fig. 4 is that CCA is not exclusively aligned sampling schematic diagram;
Fig. 5 is MS-CCA structural schematic diagram;
Fig. 6 is MS-CCA method flow diagram;
Fig. 7 is MS-CCA weighting and Performance Evaluation flow chart;
Fig. 8 is preceding to incomplete aligned condition lower channel status assessment performance comparison;
Fig. 9 be after to incomplete aligned condition lower channel status assessment performance comparison;
Figure 10 is that collision probability compares under algorithms of different.
Specific embodiment
The present invention proposes a kind of MS-CCA clear channel assessment based on multi-slot syncretizing mechanism, comprising: LTE-U is whole End or base station first carry out CCA before the channel that request accesses unauthorized frequency range, carry out data to destination channel in CCA window Sampling.CCA window under LBT mechanism is divided into the time slot for the durations such as S (S > 1) is a by the present invention, utilizes the N ' in each time slot A sampled data constructs signal sampling matrix Y (S × N ');Its covariance matrix R is calculated according to sampling matrix Yy, then calculate association Variance matrix RyCharacteristic value, by S characteristic value by ascending order arrange, and as diagonal element construct diagonal matrix Λ, utilize Λ Unequal weighting is carried out to signal sampling matrix Y according to the mode of Weighted Fusion and generates global detection statistic TMS-CCA, last benefit Use TMS-CCACarry out conclusive judgement.
Wherein, timeslot number divides specifically: CCA window width cannot be less than 20 μ s under LBT mechanism, and WIFI (IEEE802.11a) a length of 4 μ s when OFDM symbol, occupied bandwidth 20Mhz, the ofdm signal of transmitting include that 64 sons carry Wave, each OFDM symbol are made of 64 signals after QPSK or QAM modulation, operate by IFFT and add circulation It include 80 time domain samples in each OFDM symbol after prefix.It is construction sampling matrix Y in the mentioned method of the present invention, it is desirable that every Sample points in a time slot are identical, a length of minimum unit when with single OFDM symbol, and MS-CCA window width is not less than 20 μ s And should be the integral multiple of OFDM symbol duration, timeslot number is CCA sampling window duration TCCADivided by OFDM symbol duration TOFDM
Signal accumulation matrix Y is received using the reception signal construction in multi-slot, including, when n-th in i-th of time slot The sampled data at quarter is yi(n), wherein i=1,2 ..., S, n=0,1 ..., N ' -1, then Y are as follows:
Calculate the covariance matrix R of receipt signal matrix Yy, utilize RyEigenvalue cluster at diagonal matrix to each time slot Data carry out unequal weighting, merge mode using weighted gain and generate global detection statistic TMS-CCA(i.e. GTS);According to public affairs Formula z (n)=ΛTY (n) will receive the signal sampling square of eigenvalue matrix and receiver based on multi-slot of signal covariance matrix Battle array merges;According to formulaThe weighted gain for calculating MS-CCA algorithm merges statistics Value, and as global detection statistic TMS-CCA.Here, | | | | it is -2 norm of vector.
Decision threshold γ is determined according to desired false-alarm probability, by the global detection statistic T of generationMS-CCA(i.e. GTS) It is compared with decision threshold, and according to formulaConclusive judgement is made, that is, works as TMS-CCAGreater than etc. When γ, adjudicate as H1, indicate that there are WIFI signals in destination channel;Conversely, working as TMS-CCAWhen less than γ, adjudicate as H0, target WIFI signal is not present in channel.
Below in conjunction with attached drawing, a preferred embodiment of the present invention will be described in detail.
In actual LTE-U system and WIFI coexistence of systems environment, due to the uncertain and LTE-U of WIFI long data packet Device request accesses existing asynchronous relationship between the time point and WIFI timing of channel, so that using the LTE-U of LBT mechanism The relative position during CCA that terminal is carried out before request is linked into channel, between sampling window and WIFI data packet It is general uncertain.Especially when the data of WIFI are continuous short packages, sampling window occurs and WIFI data packet is not exclusively right Neat probability is bigger.To when incomplete alignment before occurring, only a small amount of WIFI signal appears in the CCA window second half section, so that The noise section that CCA window front half section obtains dilutes WIFI signal part included in the data of second half section acquisition, causes The probability that missing inspection occurs increases.And when being not exclusively aligned backward, WIFI signal mainly appears on the front half section of CCA window, this portion Point WIFI signal improves the equivalent power of noise section, causes channel status to be judged to the free time on demand, so that using LBT The LTE-U equipment of mechanism has to wait until that next CCA window carries out access attempts again, to cause the wave of frequency spectrum resource Take.In addition, CCA structure is usually very fixed, coexisted environment can only be adapted to by setting sampling window width, it cannot be according to existing Real demand neatly applies other assessment algorithms.
The present invention can solve to a certain extent CCA of the tradition based on ED mode occur under practical circumstances WIFI data packet with When the incomplete alignment condition of LTE-U equipment sampling window, the problem of to the accuracy Shortcomings of channel status judgement.
Traditional ED-CCA is first to time domain signal sampling modulus, after being squared to required modulus value, then adds up and sums and calculate flat Mean value will finally be averaged and is compared with systemic presupposition threshold value, judge WIFI in destination channel according to comparison result Transmission state.Sampled signal in the ED-CCA period in the time domain is represented by and (sets hits as N):
yCCA=[y (O), y (1) ..., y (N-1)]T
Therefore the detection statistic of ED-CCA are as follows:
Wherein | | indicate modulus operation.
By TED-CCAWith according to desired false-alarm probability PFA, DESPre-set decision threshold γ1It is compared, makes final Judgement:Work as TED-CCAMore than or equal to γ1When, it adjudicates as H1, indicate that judgement destination channel has WIFI signal exists;Conversely, judgement is H0, indicate that judgement destination channel WIFI signal is not present.
In view of in actual conditions, ED method is when sampling window is not exclusively aligned with WIFI data packet to channel status Not accurate enough problem is adjudicated, it is prior to observe that the sample at rear several moment of sampling window has whole judgement Effect, sampling window is divided into S time slot by the present invention, and establishes receipt signal matrix Y according to the sampled data of each time slot, And calculate its covariance matrix Ry, then calculate RyS characteristic value, by this S characteristic value by ascending order arrangement after, according to weighting Gain merges mode and generates GTS participation conclusive judgement.
After the CCA period is divided into S impartial time slot, relative to ED-CCA, the hits in each time slot be N '= The sampled signal at n-th moment of N/S, the LTE-U terminal in i-th of time slot may be expressed as:
Wherein xi(n) signal from WIFI equipment that n-th of reception of i-th of time slot arrives, η are indicatedi(n) it is White Gaussian noise meetsThe corresponding reception signal covariance matrix in this S time slot are as follows:
Ry=E [y (n) yH(n)]
=E [x (n) xH(n)]+E[η(n)ηH(n)]
=Rx+Rη
R in above formulax=E [x (n) xH(n)] autocorrelation matrix of signal is received for WIFI,Table Show noise autocorrelation matrix, ISIndicate S rank unit matrix.Have again:
Y (n)=[y1(n), y2(n) ..., yS(n)]T
X (n)=[x1(n), x2(n) ..., xS(n)]T
η (n)=[η1(n), η2(n) ..., ηS(n)]T
R is calculated according to YyAfterwards, R is calculatedyCharacteristic value and be λ={ λ with set expression1, λ2..., λS, it will be in λ Characteristic value is arranged to obtain λ '={ λ by ascending orderj1, λj2..., λjS, wherein serial number { j1, j2 ..., jS } is to { 1,2 ..., S } Rearrangement.Using the element in λ ' as diagonal element structural matrix Λ are as follows:
Above-mentioned Λ is generated to the global detection statistic T of MS-CCA algorithm as weighting matrixMS-CCA:
Wherein, z (n)=ΛTY (n), y (n) are the column vector of the sampling matrix Y under MS-CCA algorithm, and N ' is sampling time Number.
By TMS-CCAWith according to desired false-alarm probability PFA, DESThe decision threshold γ of calculating2It is compared, makes and finally sentencing Certainly:Work as TMS-CCAMore than or equal to γ2When, it adjudicates as H1, indicate that there are WIFI letters on judgement channel Number;Conversely, judgement is H0, indicate that WIFI signal is not present in judgement destination channel.
Fig. 1 show LTE-U terminal CCA illustraton of model when LTE-U coexists with WIFI cochannel.LTE-U and WIFI Coexisting Field Clear channel assessment (CCA) under scape is that LTE-U user detects the WIFI signal (i.e. ofdm signal) received to judge channel Whether occupied, i.e., need to only adjudicate whether there is or not WIFI signal by WIFI terminal, does not need to demodulate original signal.In order to guarantee LTE-U With WIFI in the harmonious coexistence of cochannel and the widespread deployment of LTE-U technology, LTE-U terminal is using as shown in Figure 2 based on competing The LBT Channel Access Mechanism for striving access, first carries out the CCA based on energy measuring before accessing channel, i.e., minimum 20 μ s when Interior progress limited times sampling, is calculated sampled energy value.Mesh is thought if received signal energy value is greater than preset threshold It marks on channel there are WIFI signal, the CCA window that LTE-U continues waiting for next cycle arrives;It is on the contrary, then it is assumed that channel is empty Spare time, LTE-U can be directly accessed channel and send data.
The alignment analysis of CCA window
Traditional CCA is relatively preferable to the status assessment performance of channel when facing two kinds of situations of Fig. 3, i.e., in sampling window It always exists WIFI signal or is completely absent WIFI data, but when two class situation as shown in Figure 4 occurs for sampling, and The occupied state of channel cannot be judged well.Under Fig. 4 situation 1, when data appear in the CCA window second half section, due to connecing The WIFI signal received is less, and channel is very likely judged to idle and transmits data by ED-CCA, and actually CCA window it There are WIFI data to transmit in destination channel afterwards, if at this moment LTE-U transmission data will cause the collision of data packet.Work as generation When appearing in CCA window first half such as 2 data packet of Fig. 4 situation, channel is very likely judged as busy again by ED-CCA, and practical On channel after CCA window be it is idle, will cause in this way because be judged to it is busy due to need to wait for arriving to next CCA window Come, channel resource is caused to waste.As seen from Figure 4, the aft section when incomplete alignment condition occurs, in CCA window Have to whole judgement and more importantly acts on, for this feature, free time based on multi-slot Weighted Fusion that the present invention designs Channel evaluation method is as shown in figure 5, be divided into multiple time slots for CCA window, according to the reception data configuration in each time slot Then receiving matrix calculates its covariance matrix, carry out unequal weighting to each time slot using the characteristic value of covariance matrix, The specific gravity for increasing several time slots below carries out conclusive judgement using the data after Weighted Fusion.The invention is when perfectly aligned There is similar performance with ED-CCA, and traditional side ED-CCA is compared to the judgement of channel status under incomplete aligned condition Case is more accurate.
MS-CCA algorithm
Fig. 6 is MS-CCA algorithm flow chart, is included the following steps:
(1) when LTE-U terminal uses LBT Channel Access Mechanism, its CCA window is divided into S time slot, it is desirable that CCA window Mouth is the integral multiple of WIFI OFDM symbol duration, and timeslot number is CCA window duration divided by OFDM symbol duration, i.e. S=TCCA/ TOFDM.A sampled value of the N ' that LTE-U terminal obtains in i-th of time slot are as follows: yi=[yi(0), yi(1) ..., yi(N′-1)]T, Middle i=1,2 ..., S.
(2) sampling matrix Y is generated using the sampled data of all time slots(S×N′), the covariance matrix R of Y is calculatedy, so S characteristic value for sampling anti-variance matrix is calculated afterwards, is indicated with aggregate form are as follows: λ={ λ1, λ2..., λS, it will be in λ Characteristic value obtains ordered set λ '={ λ in ascending orderj1, λj2..., λjS}.Element after sequence in set meets { λj1≤ λj2≤…≤λjS, wherein { j1, j2 ..., jS } is the rearrangement to { 1,2 ..., S }.λ ' is write as diagonal matrix form and is obtained Λ, Λ be according to receive signal be calculated, diagonal element be sized after diagonal matrix, be used as time slot weight.
Weighted energy merges mode
Fig. 7 be weighting and Performance Evaluation flow chart, include the following steps: by receiver sampled signal y (n) and it is divided when The eigenvalue matrix Λ that gap is calculated merges to obtain ΛTY (n) enables z (n)=ΛTy(n);According to formulaWeighted gain combining energy value is calculated as GTS;By TMS-CCAWith it is general according to desired false-alarm Rate PFA, DESThe decision threshold γ of calculating2It is compared, makes conclusive judgement:Work as TMS-CCAIt is greater than Equal to γ2When, it adjudicates as H1, indicate that judgement destination channel WIFI signal exists, LTE-U is not linked into channel;Conversely, judgement is H0, indicate that judgement destination channel WIFI signal is not present, LTE-U is linked into channel.
The present invention believes in actual environment since the uncertainty and LTE-U terminal request of WIFI long data packet access Sampling window caused by the uncertainty at road time point, there is a situation where being not exclusively aligned, considers CCA with WIFI data packet Window is divided into multiple small time slots, aggravates the weight of relatively important time slot, and then proposes a kind of based on multi-slot syncretizing mechanism Clear channel assessment.This method does not need any prior information in a practical situation, and data packet and CCA window not Relatively traditional ED-CCA has more accurate decision-making ability when perfectly aligned, and the CCA for solving traditional LBT to a certain extent exists Data packet is unable to the problem of accurate judgement channel status when being not exclusively aligned with CCA window.
Fig. 8, Fig. 9 and Figure 10 compared the correlated performance of two kinds of assessment algorithms of ED-CCA and MS-CCA, using detection probability, Accuracy rate and false-alarm probability are as measuring alignment standard.The Monte Carlo that 5000 iteration are carried out under Matlab environment is imitative Very, a length of 20 μ s, MS-CCA timeslot number is 5 when setting CCA.WIFI is modulated using OFDM, when occupied bandwidth 20Mhz, OFDM It is expected a length of 4 μ s, WIFI system sends data every time and occupies whole bandwidth, sets false-alarm probability in addition as 10%, emulation signal-to-noise ratio Range is [- 8dB 8dB].
Emulation 1: to incomplete alignment (LTE-U equipment need to detect the presence of WIFI data), CCA window before investigation Fig. 4 situation 1 In the case that mouth is aligned 20%, 40% and 80% respectively with WIFI data packet, MS-CCA and ED-CCA based on multi-slot are to letter The judgement of road state.From Fig. 8 (a) as can be seen that when in sampling window comprising less WIFI data (alignment 20%), MS-CCA expands the specific gravity of WIFI signal effectively to there is relatively good detectability.Include in CCA window When more WIFI data (alignment 80%), the detection performance of MS-CCA and ED-CCA are close.To sum up, MS-CCA is incomplete in forward direction Good detection performance is suffered from each situation of alignment.From Fig. 8 (b) as can be seen that the false alarm rate of the two algorithm is kept at this time Within the scope of a relatively steady acceptable level.
Emulation 2: to (data packet appears in CCA window front half section, and LTE-U is set when incomplete alignment after investigation Fig. 4 situation 2 It is standby channel status to be judged to the free time), the accurate judgement ability of MS-CCA and ED-CCA based on multi-slot to channel status.From As can be seen that when in CCA window including less WIFI data (being aligned 20%), what MS-CCA was effectively expanded makes an uproar Fig. 9 (a) Acoustical power specific gravity, so that it is more accurate with respect to ED-CCA to the judgement of channel status.It is worth noting that the accuracy rate in figure To when incomplete alignment after referring to, need for channel status to be accurately judged to idle probability.With the increase of signal-to-noise ratio, CCA weeks The specific gravity of WIFI signal power in phase can increase with it, so that channel is judged to idle probability by each algorithm to be reduced.This When each algorithm false-alarm probability situation of change such as Fig. 9 (b) shown in.
To sum up, MS-CCA is due to giving rear several time slots more Gao Quanchong, so that it is when forward and backward is not exclusively aligned It is all more accurate to the judgement of channel status, and MS-CCA and ED-CCA have similar performance under perfectly aligned state.Therefore MS-CCA algorithm is facing in destination channel there are the continuous short packages of WIFI, i.e. CCA window and data packet is endless frequent occurrence There is better channel status assessment performance when the case where full alignment.
Emulation 3: when investigation LTE-U and WIFI cochannel coexist, WIFI portfolio is under high, medium and low three kinds of states, When ED-CCA and the MS-CCA fusion detection algorithm random access based on multi-slot is respectively adopted to channel in LTE-U with WIFI generation The probability size of data packet collision.
From Figure 10 (a) as can be seen that WIFI is sent in the case that signal is mostly long data packet, i.e. CCA window and data packet There is a situation where when not exclusively alignment is less, MS-CCA and ED-CCA based on multi-slot to the judgement of channel status very It is close.Figure 10 (b) illustrates WIFI and sends signal when being continuous short packages, the probability that LTE-U and WIFI collide.It can be with Find out when not exclusively alignment probability of happening increases, MS-CCA promotes the judgment of channel status with respect to ED-CCA more bright It is aobvious, effectively reduce the probability of data packet collision.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be Various changes are made to it in form and in details, without departing from claims of the present invention limited range.

Claims (2)

1. a kind of LTE-U clear channel assessment based on multi-slot syncretizing mechanism, it is characterised in that: in the method, LTE-U terminal first carries out the CCA of at least 20 μ s before accessing channel, and original CCA window is divided into multiple time slots, utilizes Data in multiple time slots form signal sampling matrix Y, obtain sampled signal covariance matrix R according to sampling matrixy, calculate association Variance matrix RyCharacteristic value and composition characteristic value matrix Λ;Unequal weighting is carried out to each time slot using Λ, finally by adding Power gain merges mode and generates global detection statistic GTS, and carries out destination channel and whether there is the conclusive judgement of WIFI signal;
Described is divided into multiple time slots for original CCA window, divides the standard of time slot specifically: WIFI802.11a standard Specified in OFDM symbol when a length of 4 μ s, a length of minimum unit when with single OFDM symbol, MS-CCA window width is not less than 20 μ s and the integral multiple that should be OFDM symbol duration, timeslot number are CCA sampling window duration TCCADivided by OFDM symbol duration TOFDM
The acquisition eigenvalue matrix specifically: sampling matrix Y is formed according to the sampled data in multi-slot, in each time slot Hits be N ', timeslot number S, acquire its covariance matrix R using Yy, then calculate characteristic value indicates in the form gathered Are as follows: λ={ λ1, λ2..., λS, ordered set λ '={ λ is obtained in ascending orderj1, jλ2..., λjS};After sequence in set Element meets { λj1≤λj2≤…≤λjSWherein { j1, j2 ..., jS } be the rearrangement to { 1,2 ..., S };λ ' is write as diagonally Matrix form obtains Λ;
The method of weighting specifically: carry out sampling matrix Y with the eigenvalue matrix Λ obtained through multi-slot signal processing Weighted gain merges, and enables:
Z (n)=ΛTY (n) hates according to formulaWeighted gain combined value is calculated as GTS
Wherein y (n) is the data that S time slot is arrived in n-th of reception, and n=0,1 ..., N'-1, N' is moment number, that is, is sampled Number.
2. a kind of LTE-U clear channel assessment based on multi-slot syncretizing mechanism according to claim 1, feature It is: by global detection statistic TMS-CCAWith the decision threshold γ calculated according to desired false-alarm probability PFA, DES2Compared Compared with making conclusive judgement:Work as TMS-CCAMore than or equal to γ2When, it adjudicates as H1, table Show that judgement WIFI signal exists;Conversely, judgement is H0, indicate that judgement WIFI signal is not present.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108093409A (en) * 2017-12-06 2018-05-29 重庆邮电大学 A kind of LTE-U systems and WiFi system are in the coexistence method of unauthorized frequency range
CN109302717A (en) * 2017-12-20 2019-02-01 上海创远仪器技术股份有限公司 A kind of fast-idle Multiple Channel Analysis system
CN110890953B (en) * 2018-09-11 2022-07-19 华为技术有限公司 Communication method and communication device using unlicensed frequency band
CN109889288B (en) * 2019-03-13 2021-04-23 重庆邮电大学 Continuous spectrum sensing method based on ensemble average value iterative detection
CN111163531B (en) * 2019-12-16 2021-07-13 北京理工大学 Unauthorized spectrum duty ratio coexistence method based on DDPG
CN111010743B (en) * 2019-12-16 2022-02-11 北京理工大学 WiFi system performance guarantee method in unlicensed spectrum duty ratio coexistence mode
CN111246502B (en) * 2020-01-09 2022-04-29 重庆邮电大学 Energy threshold dynamic optimization method based on Q learning
CN114444827B (en) * 2020-10-30 2023-09-08 ***通信集团四川有限公司 Cluster performance evaluation method and device
CN113194539A (en) * 2021-04-07 2021-07-30 深圳市乙辰科技股份有限公司 Frequency band interference suppression method and system
CN117858156B (en) * 2024-03-08 2024-05-10 国网山东省电力公司枣庄供电公司 Unmanned automatic material receiving information processing device and method

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105594242A (en) * 2013-10-07 2016-05-18 高通股份有限公司 LTE-U clear channel assessment operations
CN105721081A (en) * 2016-02-15 2016-06-29 重庆邮电大学 Cognitive radio cooperative spectrum sensing method based on user set potential estimation

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9717098B2 (en) * 2013-05-20 2017-07-25 Qualcomm Incorporated Collision avoidance scheme for wireless communications over unlicensed spectrum

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105594242A (en) * 2013-10-07 2016-05-18 高通股份有限公司 LTE-U clear channel assessment operations
CN105721081A (en) * 2016-02-15 2016-06-29 重庆邮电大学 Cognitive radio cooperative spectrum sensing method based on user set potential estimation

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"LTE-U:未来移动通信***发展的助推剂";赵思聪,黄磊,申滨,黄晓舸;《电信科学》;20160420;全文
Hengheng Hu;Min Zheng;Kai Yu;Bin Zhou."Enhanced listen-before-talk scheme for LTE in unlicensed band".《2016 6th International Conference on Electronics Information and Emergency Communication (ICEIEC)》.2016,
Pengfei Xia;Zi Teng;Jun Wu."How loud to talk and how hard to listen-before-talk in unlicensed LTE".《2015 IEEE International Conference on Communication Workshop (ICCW)》.2015,

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