CN106341216A - Wireless communication link adaptive method and uplink and downlink adaptive method - Google Patents

Wireless communication link adaptive method and uplink and downlink adaptive method Download PDF

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CN106341216A
CN106341216A CN201610887121.1A CN201610887121A CN106341216A CN 106341216 A CN106341216 A CN 106341216A CN 201610887121 A CN201610887121 A CN 201610887121A CN 106341216 A CN106341216 A CN 106341216A
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formula
base station
correlation matrix
adaptive
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CN106341216B (en
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王闻今
谢晓东
高西奇
江彬
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Southeast University
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0006—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission format
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0632—Channel quality parameters, e.g. channel quality indicator [CQI]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/08—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the receiving station
    • H04B7/0868—Hybrid systems, i.e. switching and combining
    • H04B7/088—Hybrid systems, i.e. switching and combining using beam selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
    • H04L1/0016—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy involving special memory structures, e.g. look-up tables
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0026—Transmission of channel quality indication

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Radio Transmission System (AREA)

Abstract

The invention discloses a wireless communication link adaptive method and an uplink and downlink adaptive method. During downlink transmission, at each user, according to statistical channel information of each user, adaptive transmission parameters correspondingly transmitted by the user are calculated by use of a certainty equivalent method, then the adaptive transmission parameters are sent to a base station side through a feedback channel as parameters of downlink adaptive transmission; and during uplink transmission, at the base station side, according to the statistical channel information, the adaptive transmission parameters corresponding to each user is calculated by use of the certainty equivalent method, then an optimal encoding modulation mode of each user is transmitted to each user through the feedback channel as uplink adaptive transmission parameters. According to the invention, the calculation complexity of large-scale antenna downlink adaptive parameters can be greatly reduced, the performance loss is quite low, and the robustness is quite good.

Description

A kind of wireless communication link adaptive approach and uplink downlink adaptive approach
Technical field
The present invention relates to large scale array antenna communication field, more particularly to a kind of wireless communication link adaptive approach And uplink downlink adaptive approach.
Background technology
Large scale array antenna communication system technical requirements configure extensive antenna in base station side, a large amount of for servicing simultaneously Terminal.In large scale array antenna communication system, need also exist for link adaptation techniques to improve efficiency of transmission --- make biography Defeated it is applied to different channel conditions.
Link adaptation scheme in lte includes typical closed loop space division multiplexing model, by calculating three in receiving terminal Parameter: ri (rank indicator), pmi (precoding matrix indicator) and cqi (channel quality indicator).After known precoding mode, cqi has been chosen to most crucial parameter in link circuit self-adapting.Traditional Cqi computational methods mainly include equivalent signal-to-noise ratio mapping (esm, effective sinr mapping), are wherein most importantly Index equivalent signal-to-noise ratio maps (eesm, exponential effective sinr mapping) --- i.e. in each resource grains On son, signal to noise ratio is calculated to corresponding receiver, then the side to the signal to noise ratio utilization index mapping obtaining on all Resource Block Method, obtains an equivalent signal-to-noise ratio representing signal to noise ratio average level on whole Resource Block, then determines that cqi makees using look-up table For final self adaptation feedback parameter.
In large scale array antenna communication system, above-mentioned adaptation scheme is still available on the whole, but due to base station Side number of antennas and the sharply increasing of terminal quantity of service, using original seek equivalent signal-to-noise ratio on Resource Block by the way of realize Complexity sharply increases it is therefore desirable to study using the new auto-adaptive parameter calculating side being adapted under extensive antenna scene Method.
Therefore, propose the skill calculating auto-adaptive parameter based on the definitiveness equivalent algorithm in random matrix in the present invention Art, can greatly reduce the complexity that under extensive antenna, link circuit self-adapting parameter calculates, meanwhile, higher with respect to complexity Monte Carlo ergodic algorithm, the loss very little in performance.
Content of the invention
Goal of the invention: it is an object of the invention to provide a kind of radio communication that can solve the problem that defect present in prior art Chain circuit self-adaptive method and uplink downlink adaptive approach.
Technical scheme: for reaching this purpose, the present invention employs the following technical solutions:
Wireless communication link adaptive approach of the present invention, including adaptive uplink process and downlink from Adaptation process, wherein:
Adaptive uplink process comprises the following steps:
S1.1: base station obtains corresponding channel energy coupling battle array according to the uplink channel estimation of each user；
S1.2: base station obtains the function representation of the Correlation Matrix of each user's Transmitting and Receiving End according to each subscriber channel energy coupling battle array；
The function representation of the Correlation Matrix of each user's Transmitting and Receiving End is substituted into iterative equation and is iterated solving by s1.3: base station, profit It is equal to approximate with the definitiveness that the solution of iterative equation obtains each user's achievable rate lower bound；
S1.4: base station, according to error code word rate-Speedometer Drive, is equal to approximately ask using the definitiveness of each user's achievable rate lower bound Go out corresponding channel quality instruction, then by channel quality indication feedback to user, for indicating the transmission means in this cycle, After this end cycle, return to step s1.1 carries out the calculating of next cycle configured transmission；
Down link self adaption process comprises the following steps:
S1.5: base station carries out user scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S1.6: on the basis of user's collection and beam collection of scheduling, calculate each user under least mean-square error receiver The definitiveness of the average achievable rate on all Resource Block is equal to；
S1.7: according to average achievable rate, by searching error code word rate-Speedometer Drive, obtain the corresponding channel quality of user Instruction, indicates the code modulation mode determining the downlink transmission in this cycle of user, this end cycle according to channel quality Afterwards, return to step s1.5 carries out the calculating of the configured transmission of next transmission cycle.
Wireless communications uplink adaptive approach of the present invention, comprises the following steps:
S2.1: base station obtains corresponding channel energy coupling battle array according to the uplink channel estimation of each user；
S2.2: base station obtains the function representation of the Correlation Matrix of each user's Transmitting and Receiving End according to each subscriber channel energy coupling battle array；
The function representation of the Correlation Matrix of each user's Transmitting and Receiving End is substituted into iterative equation and is iterated solving by s2.3: base station, profit It is equal to approximate with the definitiveness that the solution of iterative equation obtains each user's achievable rate lower bound；
S2.4: base station, according to error code word rate-Speedometer Drive, is equal to approximately ask using the definitiveness of each user's achievable rate lower bound Go out corresponding channel quality instruction, then by channel quality indication feedback to user, for indicating the transmission in next cycle Mode, after next cycle terminates, return to step s2.1.
Further, channel energy coupling battle array ω in described step s2.1kCalculated according to formula (1):
In formula (1), n is the sum of subcarrier, and l is the sum of sampling time point, ur,kFeature square for receiving terminal Correlation Matrix Battle array, hk,l,tFor the channel estimation in frequency domain of user k, ut,kFor the eigenmatrix of transmitting terminal Correlation Matrix, ⊙ representing matrix hardmad takes advantage of Long-pending.
Further, the receiving terminal Correlation Matrix function in described step s2.2As shown in formula (2):
η ~ k ( d ~ ) = u r , k π ~ k ( d ~ ) u r , k h - - - ( 2 )
In formula (2), ur,kFor the eigenmatrix of receiving terminal Correlation Matrix,For m × m rank diagonal matrix, diagonal element isM is transmitting terminal number of antennas, ωkChannel energy coupling battle array for user k, if user is Dan Tian Line, then ωkDeteriorate to vector, [ωk]iRepresentation vector ωkIn i-th position element,For m × m rank matrix variables；
Transmitting terminal Correlation Matrix function ηkD () is as shown in formula (3):
η k ( d ) = u t , k π k ( d ) u t , k h - - - ( 3 )
In formula (3), ut,kFor the eigenmatrix of transmitting terminal Correlation Matrix,
Further, shown in the iterative equation such as formula (4) (7) in described step s2.3:
Wherein z is scalar arguments,Operator value Cauchy's transforming function transformation function,Intermediate function variable, φ (z),For intermediary matrix function variable, imFor unit battle array, k is number of users,For user's k receiving terminal Correlation Matrix function, ηkIt is use Family k transmitting terminal Correlation Matrix function；
The process of one wheel iteration is: the initial value of setting formula (7), then substitutes into formula (7) in formula (5), then by formula (5) generation Enter in formula (4), finally substitute into formula (4) in formula (6).
Wireless communication descending chain circuit self-adaptive method of the present invention, comprises the following steps:
S6.1: base station carries out user scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S6.2: on the basis of user's collection and beam collection of scheduling, calculate each user under least mean-square error receiver The definitiveness of the average achievable rate on all Resource Block is equal to；
S6.3: according to average achievable rate, by searching error code word rate-Speedometer Drive, obtain the corresponding channel quality of user Instruction, indicates the code modulation mode determining user's downlink transmission according to channel quality.
Further, the user scheduling in described step s6.1 and beam selection adopt maximization system and rate criterion, adopt Carry out the search of user's collection and beam collection with greedy algorithm.
Beneficial effect: the invention discloses a kind of wireless communication link adaptive approach and uplink downlink self adaptation side Method, calculates auto-adaptive parameter using based on the definitiveness equivalent algorithm in random matrix, can greatly reduce extensive sky The complexity that under line, link circuit self-adapting parameter calculates, and performance loss is relatively low, has preferable robustness.
Brief description
Fig. 1 is the adaptive uplink method schematic diagram in the specific embodiment of the invention；
Fig. 2 is the downlink self-adapting method schematic diagram in the specific embodiment of the invention.
Specific embodiment
With reference to the accompanying drawings and detailed description technical scheme is further introduced.
This specific embodiment discloses a kind of wireless communications uplink adaptive approach, as shown in Figure 1 it is assumed that one Comprise to configure the base station of m root antenna and the massive mimo system of k single antenna terminal.Assume that m and k is very big, representative value As m=64, k=32 etc., k single antenna terminal, independently of one another to base station transmission data, receives k terminal in base station side simultaneously Data:
y = σ k = 1 k h k x k + n - - - ( 1 )
In formula (1), y is base station side receiving signal, hkFor the up channel of user k, xkFor the data signal of user k, n is White complex gaussian noise.
Allied signal detection and decoding are carried out using lmmse receiver, according to the traversal achievable rate table of lmmse receiver Reach formula, the definitiveness obtaining its lower bound is equal to.Calculate definitiveness etc. simultaneously, need to calculate sending and receiving end Correlation MatrixPass through The computing deformation of matrix, is translated into channel energy coupling battle array ωkFunction.Then the core iteration being equal to according to definitiveness Fixed-point equation, tries to achieve equivalent with the definitiveness of speed lower bound.With the definitiveness of this and speed lower bound be equal to as and speed Approximately, and according to this value search cwer-rate table, obtain cqi value.Cqi namely channel quality instruction.Below the method is carried out It is discussed in detail:
S1.1: base station obtains corresponding channel energy coupling battle array ω according to the uplink channel estimation of each userk, as formula (1) Shown:
In formula (1), n is the sum of subcarrier, and l is the sum of sampling time point, ur,kFeature square for receiving terminal Correlation Matrix Battle array, hk,l,tFor the channel estimation in frequency domain of user k, ut,kFor the eigenmatrix of transmitting terminal Correlation Matrix, ⊙ representing matrix hardmad takes advantage of Long-pending.
S1.2: base station obtains the receiving terminal Correlation Matrix function of each user according to each subscriber channel energy coupling battle arrayAnd send out Sending end Correlation Matrix function ηk:
Receiving terminal correlation functionCan be written asur,kFor receiving terminal The eigenmatrix of Correlation Matrix,For m × m rank diagonal matrix, diagonal element isM is transmitting terminal sky Line number mesh, ωkChannel energy coupling battle array for user k, if user is single antenna, ωkDeteriorate to vector, [ωk]iRepresent Vectorial ωkIn i-th position element,For m × m rank matrix variables.
Additionally, when m is sufficiently large, ur,kCan be with the dft matrix of m dimension Lai approximate, i.e. ur,k=fm, fmFor dft square Battle array.
Transmitting terminal correlation functionCan be written asWhereinBecause terminal is single antenna, therefore ut,kDeteriorate to scalar 1, πkD () is also scalar.
The function representation of the Correlation Matrix of each user's Transmitting and Receiving End is substituted into iterative equation and is iterated solving by s1.3: base station, profit It is equal to approximate with the definitiveness that the solution of iterative equation obtains each user's achievable rate lower bound.Iterative equation such as formula (2) (5) institute Show:
Wherein z is scalar arguments,Operator value Cauchy's transforming function transformation function,Intermediate function variable, φ (z),For intermediary matrix function variable, imFor unit battle array, k is number of users,For user's k receiving terminal Correlation Matrix function, ηkIt is use Family k transmitting terminal Correlation Matrix function.
The process of one wheel iteration is: the initial value of setting formula (5), then substitutes into formula (5) in formula (3), then by formula (3) generation Enter in formula (2), finally substitute into formula (2) in formula (4).After one wheel iteration terminates, next round starts to be calculated by last round of formula (4) Value newer (5), recirculation is reciprocal.Stopping criterion for iteration is k dimensional vectorIteration twice in front and back Relative error be less than set-point ε, illustrate iterative process convergence.
S1.4: base station, according to error code word rate-Speedometer Drive, is equal to approximately ask using the definitiveness of each user's achievable rate lower bound Go out corresponding channel quality instruction, then by channel quality indication feedback to user, for indicating the transmission means in this cycle, After this end cycle, return to step s1.1 carries out the calculating of next cycle configured transmission.Detailed process is as follows:
Solution during iterative equation Chinese style (5) convergenceTraversal achievable rate lower bound for user k signal during uplinkDefinitiveness be equal to approximate, wherein,
Substitute into z=- σ in practice2.For the traversal achievable rate under mmse receiver, ikFor unit battle array, σ2For noise Variance, h is channel matrix.
In order to obtain cqi, need to obtain cwer-rate look-up table by channel simulator, namely code word rate-Speedometer Drive.Tool Body method is, for each mcs mode:
1. it is interval that suitable snr (signal to noise ratio) is set；
2. generate substantial amounts of channel and realize sample nh, sample size is wide enough so that emulation can cover all of channel feelings Condition；
3. pair each channel samples, travel through enough white noises and realize sample；
4., for each snr value, count its average cweriValue and corresponding achievable rate ri, so can obtain one cweri～riCurve；
5. comprehensive 15 mcs, can obtain 15 groups of cweri～riThe figure of curve composition, according to cwer threshold value (representative value 0.1) obtain corresponding look-up table.
Be equal to approximate using the definitiveness of each user's achievable rate lower bound, find in this look-up table meet threshold value and The corresponding cqi of code check highest mcs mode is as final value of feedback.
This specific embodiment also discloses a kind of wireless communication descending chain circuit self-adaptive method, as shown in Fig. 2 adaptive The calculating answering parameter is also carried out in base station side, compares up self adaptation, differ primarily in that need consider downlink transfer when base station The precoding that side adopts, using up-to-date bdma scheme in massive mimo, considers Beam Domain precoding in base station side.? Under this precoding mode, still estimate receiving terminal traversal achievable rate in base station side, then cwer- is searched according to this achievable rate Rate table, determines the cqi of downlink transfer.Additionally, it is contemplated that terminal comprises multiple antennas, specifically comprise the following steps that
S1.5: base station carries out user scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection.Here User scheduling and beam selection adopt maximization system and rate criterion, user's collection and beam collection are carried out using greedy algorithm Search.
S1.6: on the basis of user's collection and beam collection of scheduling, calculate each user under least mean-square error receiver The definitiveness of the average achievable rate on all Resource Block is equal to.Average achievable rate adopts definitiveness equivalent processes to calculate, The channel energy depending on statistic channel information down channel couples battle array.Because channel energy coupling battle array has up-downgoing Reciprocity, channel energy coupling battle array ω of the up-link that therefore can be obtained according to step s1.1kCalculate the letter of downlink Road energy coupling battle array, and battle array calculating Transmitting and Receiving End Correlation Matrix function is coupled according to channel energy.Next just can calculate and averagely may be used Reach speed, detailed process is as follows:
The traversal achievable rate expression formula of user k is:
In formula (7), q is the power distribution matrix (for pair of horns battle array) of all user's transmission signal energy compositions, q\k=q- qk, qkPower matrix for user's k transmission signal.
DefinitionIt is equal to for a definitiveness, definition Then
Definitiveness be equal to calculation expression be:
v k e q ( σ 2 ) = 1 n ( log det ( φ k ( - σ 2 ) ) + log det ( φ ~ k ( - σ 2 ) ) - t r ( i - ( φ ~ k ( - σ 2 ) ) - 1 ) ) - - - ( 8 )
φk(-σ2),Calculating as described in step s1.3.
Because statistic channel information has and subcarrier independence, user k finally can be calculated in all subcarriers On Mean Speed.
S1.7: according to average achievable rate, by searching error code word rate-Speedometer Drive, obtain the corresponding channel quality of user Instruction, indicates the code modulation mode determining user's downlink transmission according to channel quality.This part is as described in step s1.4.

Claims (7)

1. a kind of wireless communication link adaptive approach it is characterised in that: include adaptive uplink process and downlink Adaptive process, wherein:
Adaptive uplink process comprises the following steps:
S1.1: base station obtains corresponding channel energy coupling battle array according to the uplink channel estimation of each user；
S1.2: base station obtains the function representation of the Correlation Matrix of each user's Transmitting and Receiving End according to each subscriber channel energy coupling battle array；
The function representation of each user's Transmitting and Receiving End Correlation Matrix is substituted into iterative equation and is iterated solving by s1.3: base station, using iteration The definitiveness that non trivial solution obtains each user's achievable rate lower bound is equal to approximately；
According to error code word rate-Speedometer Drive, it is right to be equal to approximately to obtain using the definitiveness of each user's achievable rate lower bound for s1.4: base station The channel quality instruction answered, then by channel quality indication feedback to user, for indicating the transmission means in this cycle, this week After phase terminates, return to step s1.1 carries out the calculating of next cycle configured transmission；
Down link self adaption process comprises the following steps:
S1.5: base station carries out user scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S1.6: on the basis of user's collection and beam collection of scheduling, calculate each user under least mean-square error receiver in institute The definitiveness having the average achievable rate on Resource Block is equal to；
S1.7: according to average achievable rate, by searching error code word rate-Speedometer Drive, obtain the instruction of user's corresponding channel quality, The code modulation mode determining the downlink transmission in this cycle of user is indicated according to channel quality, after this end cycle, returns Return the configured transmission calculating that step s1.5 carries out in next transmission cycle.
2. a kind of wireless communications uplink adaptive approach it is characterised in that: comprise the following steps:
S2.1: base station obtains corresponding channel energy coupling battle array according to the uplink channel estimation of each user；
S2.2: base station obtains the function representation of each user's Transmitting and Receiving End Correlation Matrix according to each subscriber channel energy coupling battle array；
Each user's Transmitting and Receiving End Correlation Matrix function representation substitution iterative equation is iterated solving by s2.3: base station, using iteration side The definitiveness that the solution of journey obtains each user's achievable rate lower bound is equal to approximately；
According to error code word rate-Speedometer Drive, it is right to be equal to approximately to obtain using the definitiveness of each user's achievable rate lower bound for s2.4: base station The channel quality instruction answered, then by channel quality indication feedback to user, for indicating the transmission means in next cycle, After next cycle terminates, return to step s2.1.
3. wireless communications uplink adaptive approach according to claim 2 it is characterised in that: in described step s2.1 Channel energy coupling battle array ωkCalculated according to formula (1):
In formula (1), n is the sum of subcarrier, and l is the sum of sampling time point, ur,kFor the eigenmatrix of receiving terminal Correlation Matrix, hk,l,tFor the channel estimation in frequency domain of user k, ut,kFor the eigenmatrix of transmitting terminal Correlation Matrix,Representing matrix hardmad product.
4. wireless communications uplink adaptive approach according to claim 2 it is characterised in that: in described step s2.2 Receiving terminal Correlation Matrix functionAs shown in formula (2):
η ~ k ( d ~ ) = u r , k π ~ k ( d ~ ) u r , k h - - - ( 2 )
In formula (2), ur,kFor the eigenmatrix of receiving terminal Correlation Matrix,For m × m rank diagonal matrix, diagonal element isM is transmitting terminal number of antennas, ωkChannel energy coupling battle array for user k, if user is Dan Tian Line, then ωkDeteriorate to vector, [ωk]iRepresentation vector ωkIn i-th position element,For m × m rank matrix variables；
Transmitting terminal Correlation Matrix function ηkD () is as shown in formula (3):
η k ( d ) = u t , k π k ( d ) u t , k h - - - ( 3 )
In formula (3), ut,kFor the eigenmatrix of transmitting terminal Correlation Matrix,
5. wireless communications uplink adaptive approach according to claim 2 it is characterised in that: in described step s2.3 Iterative equation such as formula (4) (7) shown in:
Wherein z is scalar arguments,Operator value Cauchy's transforming function transformation function,Intermediate function variable, φ (z),For Intermediary matrix function variable, imFor unit battle array, k is number of users,For user's k receiving terminal Correlation Matrix function, ηkSend for user k End Correlation Matrix function；
The process of one wheel iteration is: the initial value of setting formula (7), then substitutes into formula (7) in formula (5), then formula (5) is substituted into formula (4), in, finally formula (4) is substituted in formula (6).
6. a kind of wireless communication descending chain circuit self-adaptive method it is characterised in that: comprise the following steps:
S6.1: base station carries out user scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S6.2: on the basis of user's collection and beam collection of scheduling, calculate each user under least mean-square error receiver in institute The definitiveness having the average achievable rate on Resource Block is equal to；
S6.3: according to average achievable rate, by searching error code word rate-Speedometer Drive, obtain the instruction of user's corresponding channel quality, Indicate the code modulation mode determining user's downlink transmission according to channel quality.
7. wireless communication descending chain circuit self-adaptive method according to claim 6 it is characterised in that: in described step s6.1 User scheduling and beam selection adopt maximization system and rate criterion, user's collection and beam collection are carried out using greedy algorithm Search.
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CN110679189A (en) * 2017-05-17 2020-01-10 Lg电子株式会社 Method for receiving downlink channel in wireless communication system and apparatus therefor
CN114567358A (en) * 2022-03-03 2022-05-31 东南大学 Large-scale MIMO robust WMMSE precoder and deep learning design method thereof

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