CN106341216B - A kind of wireless communication link adaptive approach and uplink downlink adaptive approach - Google Patents
A kind of wireless communication link adaptive approach and uplink downlink adaptive approach Download PDFInfo
- Publication number
- CN106341216B CN106341216B CN201610887121.1A CN201610887121A CN106341216B CN 106341216 B CN106341216 B CN 106341216B CN 201610887121 A CN201610887121 A CN 201610887121A CN 106341216 B CN106341216 B CN 106341216B
- Authority
- CN
- China
- Prior art keywords
- user
- formula
- base station
- correlation matrix
- adaptive
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
Abstract
The invention discloses a kind of wireless communication link adaptive approach and uplink downlink adaptive approach, when downlink transfer at each user, according to the statistic channel information of each user, the Adaptive Transmission parameter that certainty equivalent processes calculate corresponding user transmission is respectively adopted, then send Adaptive Transmission parameter to the parameter transmitted to base station side as descending self-adapting by feedback channel；When uplink, in base station side according to statistic channel information, the Adaptive Transmission parameter for corresponding to each user is calculated using certainty equivalent processes, then the forced coding modulation system of each user is sent at each user by feedback channel, as uplink Adaptive Transmission parameter.The present invention can greatly reduce the complexity that link circuit self-adapting parameter calculates under extensive antenna, and performance loss is lower, have preferable robustness.
Description
Technical field
The present invention relates to large scale array antenna communication fields, more particularly to a kind of wireless communication link adaptive approach
And uplink downlink adaptive approach.
Background technique
Large scale array antenna communication system technical requirements configure extensive antenna in base station side, are used for while service is a large amount of
Terminal.In large scale array antenna communication system, link adaptation techniques are also needed to improve efficiency of transmission --- make to pass
It is defeated to be suitable for different channel conditions.
Link adaptation scheme in LTE includes typical closed loop space division multiplexing model, by calculating three in receiving end
Parameter: RI (Rank Indicator), PMI (Precoding Matrix Indicator) and CQI (Channel Quality
Indicator).After known precoding mode, CQI's has been chosen to parameter most crucial in link circuit self-adapting.Traditional
CQI calculation method mainly includes equivalent signal-to-noise ratio mapping (ESM, Effective SINR Mapping), wherein being most importantly
Index equivalent signal-to-noise ratio maps (EESM, Exponential Effective SINR Mapping) --- i.e. in each resource grains
Signal-to-noise ratio is calculated to corresponding receiver on son, then to the side of the signal-to-noise ratio utilization index mapping obtained on all resource blocks
Method obtains the equivalent signal-to-noise ratio for representing signal-to-noise ratio average level on entire resource block, then determines that CQI makees using look-up table
For final adaptive feedback parameter.
In large scale array antenna communication system, above-mentioned adaptation scheme is still available on the whole, but due to base station
Sharply increasing for side number of antennas and the terminal quantity of service, is realized by the way of equivalent signal-to-noise ratio on resource block using original ask
Complexity sharply increases, it is therefore desirable to which research is using the new auto-adaptive parameter calculating side being adapted under extensive antenna scene
Method.
Therefore, the skill for calculating auto-adaptive parameter is proposed based on the certainty equivalent algorithm in random matrix in the present invention
Art can greatly reduce the complexity that link circuit self-adapting parameter calculates under extensive antenna, meanwhile, it is higher relative to complexity
Monte Carlo ergodic algorithm, the loss very little in performance.
Summary of the invention
Goal of the invention: the object of the present invention is to provide a kind of wireless communications for being able to solve defect existing in the prior art
Chain circuit self-adaptive method and uplink downlink adaptive approach.
Technical solution: to reach this purpose, the invention adopts the following technical scheme:
Wireless communication link adaptive approach of the present invention, including adaptive uplink process and downlink are certainly
Adaptation process, in which:
Adaptive uplink process the following steps are included:
S1.1: base station obtains corresponding channel energy according to the uplink channel estimation of each user and couples battle array；
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；
S1.3: the function representation of the Correlation Matrix of each user's Transmitting and Receiving End is substituted into iterative equation and is iterated solution by base station, benefit
The equivalent approximation of certainty for finding out each user's achievable rate lower bound with the solution of iterative equation；
S1.4: base station is equal to approximation using the certainty of each user's achievable rate lower bound and asks according to error code word rate-Speedometer Drive
Corresponding channel quality instruction out, then by channel quality indication feedback to user, the transmission mode being used to indicate in this period,
After this period, return step S1.1 carries out the calculating of next cycle configured transmission；
Down link self adaption process the following steps are included:
S1.5: base station carries out user's scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S1.6: on the basis of the user of scheduling collection and beam collection, each user is calculated under least mean-square error receiver
The certainty of average achievable rate on all resource blocks is equivalent；
S1.7: the corresponding channel quality of user is obtained by searching for error code word rate-Speedometer Drive according to average achievable rate
Instruction indicates the code modulation mode for determining the downlink transmission in this period of user, this end cycle according to channel quality
Afterwards, return step S1.5 carries out the calculating of the configured transmission of next transmission cycle.
Wireless communications uplink adaptive approach of the present invention, comprising the following steps:
S2.1: base station obtains corresponding channel energy according to the uplink channel estimation of each user and couples battle array；
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；
S2.3: the function representation of the Correlation Matrix of each user's Transmitting and Receiving End is substituted into iterative equation and is iterated solution by base station, benefit
The equivalent approximation of certainty for finding out each user's achievable rate lower bound with the solution of iterative equation；
S2.4: base station is equal to approximation using the certainty of each user's achievable rate lower bound and asks according to error code word rate-Speedometer Drive
Corresponding channel quality instruction out, then by channel quality indication feedback to user, the transmission that is used to indicate in next cycle
Mode, after next cycle, return step S2.1.
Further, the channel energy in the step S2.1 couples battle array ΩkIt is calculated 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 feature square of receiving end 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 multiplies
Product.
Further, the receiving end Correlation Matrix function in the step S2.2As shown in formula (2):
In formula (2), Ur,kFor the eigenmatrix of receiving end Correlation Matrix,For M × M rank diagonal matrix, diagonal element isM is transmitting terminal number of antennas, ΩkBattle array is coupled for the channel energy of user k, if user is Dan Tian
Line, then ΩkDegenerate is vector, [Ωk]iRepresentation vector ΩkIn i-th of position element,For M × M rank matrix variables；
Transmitting terminal Correlation Matrix function ηk(D) as shown in formula (3):
In formula (3), Ut,kFor the eigenmatrix of transmitting terminal Correlation Matrix,
Further, shown in iterative equation such as formula (4)-(7) in the 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 the receiving end user k Correlation Matrix function, ηkFor with
Family k transmitting terminal Correlation Matrix function；
The process of one wheel iteration are as follows: 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 substitutes into formula (4) in formula (6).
Wireless communication descending chain circuit self-adaptive method of the present invention, comprising the following steps:
S6.1: base station carries out user's scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S6.2: on the basis of the user of scheduling collection and beam collection, each user is calculated under least mean-square error receiver
The certainty of average achievable rate on all resource blocks is equivalent；
S6.3: the corresponding channel quality of user is obtained by searching for error code word rate-Speedometer Drive according to average achievable rate
Instruction indicates the code modulation mode for determining user's downlink transmission according to channel quality.
Further, user's scheduling in the step S6.1 and beam selection use maximization system and rate criterion, adopt
The search of user's collection and beam collection is carried out with greedy algorithm.
The utility model has the advantages that the invention discloses a kind of wireless communication link adaptive approach and uplink downlink adaptively side
Method calculates auto-adaptive parameter using based on the certainty equivalent algorithm in random matrix, can greatly reduce extensive day
The complexity that link circuit self-adapting parameter calculates under line, and performance loss is lower, has preferable robustness.
Detailed description of the invention
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
Technical solution of the present invention is further introduced with reference to the accompanying drawings and detailed description.
Present embodiment discloses a kind of wireless communications uplink adaptive approach, as shown in Figure 1, it is assumed that one
Comprising configuring the base station of M root antenna and the Massive mimo system of K single antenna terminal.Assuming that M and K are very big, representative value
Such as M=64, K=32 etc., K single antenna terminal transmits data to base station each independently, receives K terminal simultaneously in base station side
Data:
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
Up to formula, the certainty for finding out its lower bound is equivalent.It calculates certainty etc. simultaneously, needs to calculate sending and receiving end Correlation MatrixPass through
The operation of matrix deforms, and is translated into channel energy coupling battle array ΩkFunction.Then the core iteration equivalent according to certainty
Fixed-point equation acquires equivalent with the certainty of rate lower bound.Use the certainty of this and rate lower bound equivalent as with rate
Approximation, and CWER-RATE table is searched according to this value, obtain CQI value.CQI namely channel quality instruction.This method is carried out below
It is discussed in detail:
S1.1: base station obtains corresponding channel energy according to the uplink channel estimation of each user and couples battle array Ωk, such as formula (1)
It is shown:
In formula (1), N is the sum of subcarrier, and L is the sum of sampling time point, Ur,kFor the feature square of receiving end 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 multiplies
Product.
S1.2: base station obtains the receiving end Correlation Matrix function of each user according to each subscriber channel energy coupling battle arrayAnd hair
Sending end Correlation Matrix function ηk:
Receiving end correlation functionIt can be written asUr,kTo receive
The eigenmatrix of Correlation Matrix is held,For M × M rank diagonal matrix, diagonal element isM is to send
Hold number of antennas, ΩkBattle array is coupled for the channel energy of user k, if user is single antenna, ΩkDegenerate is vector, [Ωk]i
Representation vector ΩkIn i-th of position element,For M × M rank matrix variables.
In addition, when M is sufficiently large, Ur,kIt can be with the DFT matrix that M is tieed up come approximate, i.e. Ur,k=FM, FMFor DFT square
Battle array.
Transmitting terminal correlation functionIt can be written asWhereinBecause terminal is single antenna, Ut,kDegenerating is scalar 1, ΠkIt (D) is also mark
Amount.
S1.3: the function representation of the Correlation Matrix of each user's Transmitting and Receiving End is substituted into iterative equation and is iterated solution by base station, benefit
The equivalent approximation of certainty for finding out each user's achievable rate lower bound with the solution of iterative equation.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 the receiving end user k Correlation Matrix function, ηkFor with
Family k transmitting terminal Correlation Matrix function.
The process of one wheel iteration are as follows: 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 substitutes into formula (2) in formula (4).After one wheel iteration, next round starts to be calculated by last round of formula (4)
Value newer (5), recycling is reciprocal.Stopping criterion for iteration is K dimensional vectorFront and back iteration twice
Relative error be less than given value ε, illustrate iterative process restrain.
S1.4: base station is equal to approximation using the certainty of each user's achievable rate lower bound and asks according to error code word rate-Speedometer Drive
Corresponding channel quality instruction out, then by channel quality indication feedback to user, the transmission mode being used to indicate in this period,
After this period, return step S1.1 carries out the calculating of next cycle configured transmission.Detailed process is as follows:
Solution when iterative equation Chinese style (5) restrainsThe traversal achievable rate lower bound of user's k signal when for uplinkThe equivalent approximation of certainty, wherein
Z=- σ is substituted into practice2。For the traversal achievable rate under MMSE receiver, IKFor unit battle array, σ2For noise
Variance, H are channel matrix.
CQI in order to obtain needs to obtain CWER-RATE look-up table namely code word rate-Speedometer Drive by channel simulator.Tool
Body method is, for each MCS mode:
1. suitable SNR (signal-to-noise ratio) section is arranged；
2. generating a large amount of channel realizes sample Nh, sample size, which is wide enough so as to emulate, can cover all channel feelings
Condition；
3. pair each channel samples traverse enough white noises and realize sample；
4. counting its average CWER for each SNR valueiValue and corresponding achievable rate Ri, one available in this way
CWERi~RiCurve；
5. comprehensive 15 MCS, available 15 groups of CWERi~RiThe figure of curve composition, according to CWER threshold value (representative value
0.1) corresponding look-up table is obtained.
Using the equivalent approximation of the certainty of each user's achievable rate lower bound, found in the look-up table meet threshold value and
The corresponding CQI of the highest MCS mode of code rate is as final value of feedback.
Present embodiment also discloses a kind of wireless communication descending chain circuit self-adaptive method, as shown in Fig. 2, it is adaptive
It answers the calculating of parameter also to carry out in base station side, compares that uplink is adaptive, and the main distinction is to need to consider base station when downlink transfer
The precoding that side uses considers Beam Domain precoding in base station side using BDMA scheme newest in Massive MIMO.?
Under the precoding mode, achievable rate still is traversed in base station side estimation receiving end, CWER- is then searched according to the achievable rate
RATE table determines the CQI of downlink transfer.Additionally, it is contemplated that terminal includes multiple antennas, the specific steps are as follows:
S1.5: base station carries out user's scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection.Here
User's scheduling and beam selection use maximization system and rate criterion, user's collection and beam collection are carried out using greedy algorithm
Search.
S1.6: on the basis of the user of scheduling collection and beam collection, each user is calculated under least mean-square error receiver
The certainty of average achievable rate on all resource blocks is equivalent.Average achievable rate is calculated using certainty equivalent processes,
Dependent on statistic channel information --- the channel energy of down channel couples battle array.Since channel energy coupling battle array has uplink and downlink
Reciprocity, therefore battle array Ω can be coupled according to the channel energy for the uplink that step S1.1 is obtainedkCalculate the letter of downlink
Road energy coupling battle array, and battle array is coupled according to channel energy and calculates Transmitting and Receiving End Correlation Matrix function.Next it can calculate and averagely may be used
Up to rate, detailed process is as follows:
The traversal achievable rate expression formula of user k are as follows:
In formula (7), Q is the power distribution matrix (for pair of horns battle array) that all users emit signal energy composition, Q\k=Q-
Qk, QkEmit the power matrix of signal for user k.
DefinitionIt is equivalent for a certainty, definitionThen
Certainty be equal to calculation expression are as follows:
Φk(-σ2),Calculating as described in step S1.3.
Because statistic channel information has and subcarrier independence, user k can finally be calculated in all subcarriers
On Mean Speed.
S1.7: the corresponding channel quality of user is obtained by searching for error code word rate-Speedometer Drive according to average achievable rate
Instruction indicates the code modulation mode for 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: including adaptive uplink process and downlink
Adaptive process, in which:
Adaptive uplink process the following steps are included:
S1.1: base station obtains corresponding channel energy according to the uplink channel estimation of each user and couples battle array；
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；
S1.3: the function representation of each user's Transmitting and Receiving End Correlation Matrix is substituted into iterative equation and is iterated solution by base station, utilizes iteration
The certainty that non trivial solution finds out each user's achievable rate lower bound is equivalent；
S1.4: base station is equally found out corresponding according to error code word rate-Speedometer Drive using the certainty of each user's achievable rate lower bound
Channel quality instruction, then by channel quality indication feedback to user, the transmission mode being used to indicate in this period, this period knot
The calculating of Shu Hou, return step S1.1 progress next cycle configured transmission；
Down link self adaption process the following steps are included:
S1.5: base station carries out user's scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S1.6: on the basis of the user of scheduling collection and beam collection, each user is calculated under least mean-square error receiver in institute
There is the certainty of the average achievable rate on resource block equivalent；
S1.7: obtaining the corresponding channel quality instruction of user according to average achievable rate by searching for error code word rate-Speedometer Drive,
The code modulation mode that the downlink transmission in determining this period of user is indicated according to channel quality, after this period, is returned
It returns step S1.5 and carries out the calculating of the configured transmission in next transmission cycle.
2. a kind of wireless communications uplink adaptive approach, it is characterised in that: the following steps are included:
S2.1: base station obtains corresponding channel energy according to the uplink channel estimation of each user and couples battle array；
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；
S2.3: each user's Transmitting and Receiving End Correlation Matrix function representation substitution iterative equation is iterated solution by base station, utilizes iteration side
The certainty that the solution of journey finds out each user's achievable rate lower bound is equivalent；
S2.4: base station is equally found out corresponding according to error code word rate-Speedometer Drive using the certainty of each user's achievable rate lower bound
Channel quality instruction, then by channel quality indication feedback to user, the transmission mode being used to indicate in next cycle is next
After a end cycle, return step S2.1.
3. wireless communications uplink adaptive approach according to claim 2, it is characterised in that: in the step S2.1
Channel energy couple battle array ΩkIt is calculated 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 end Correlation Matrix,
hk,l,nFor 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 the step S2.2
Receiving end Correlation Matrix functionAs shown in formula (2):
In formula (2), Ur,kFor the eigenmatrix of receiving end Correlation Matrix,For M × M rank diagonal matrix, diagonal element isM is transmitting terminal number of antennas, ΩkBattle array is coupled for the channel energy of user k, if user is Dan Tian
Line, then ΩkDegenerate is vector, [Ωk]iRepresentation vector ΩkIn i-th of position element,For M × M rank matrix variables；
Transmitting terminal Correlation Matrix function ηk(D) as shown in formula (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 the 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 the receiving end user k Correlation Matrix function, ηkFor user k transmission
Hold Correlation Matrix function；
The process of one wheel iteration are as follows: the initial value of setting formula (7) then substitutes into formula (7) in formula (5), then formula (5) are substituted into formula
(4) in, finally formula (4) are substituted into formula (6).
6. a kind of wireless communication descending chain circuit self-adaptive method, it is characterised in that: the following steps are included:
S6.1: base station carries out user's scheduling and beam selection in Beam Domain, determines user's collection and corresponding beam collection；
S6.2: on the basis of the user of scheduling collection and beam collection, each user is calculated under least mean-square error receiver in institute
There is the certainty of the average achievable rate on resource block equivalent；
S6.3: obtaining the corresponding channel quality instruction of user according to average achievable rate by searching for error code word rate-Speedometer Drive,
The code modulation mode of determining user's downlink transmission is indicated according to channel quality.
7. wireless communication descending chain circuit self-adaptive method according to claim 6, it is characterised in that: in the step S6.1
User's scheduling and beam selection use maximization system and rate criterion, user's collection and beam collection are carried out using greedy algorithm
Search.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610887121.1A CN106341216B (en) | 2016-10-10 | 2016-10-10 | A kind of wireless communication link adaptive approach and uplink downlink adaptive approach |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610887121.1A CN106341216B (en) | 2016-10-10 | 2016-10-10 | A kind of wireless communication link adaptive approach and uplink downlink adaptive approach |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106341216A CN106341216A (en) | 2017-01-18 |
| CN106341216B true CN106341216B (en) | 2019-07-12 |
Family
ID=57838700
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610887121.1A Active CN106341216B (en) | 2016-10-10 | 2016-10-10 | A kind of wireless communication link adaptive approach and uplink downlink adaptive approach |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106341216B (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102271769B1 (en) | 2017-03-15 | 2021-07-01 | 삼성전자주식회사 | Wireless communication apparatus and method for performing energy-efficient link adaptation |
| US11206654B2 (en) | 2017-05-17 | 2021-12-21 | Lg Electronics Inc. | Method for receiving downlink channel in wireless communication system and device therefor |
| CN108990167B (en) * | 2018-07-11 | 2021-09-07 | 东南大学 | Machine learning-assisted large-scale MIMO downlink user scheduling method |
| CN109831233B (en) * | 2018-09-28 | 2020-09-18 | 东南大学 | Multi-cell coordinated large-scale MIMO beam domain multicast power distribution method |
| CN114567358B (en) * | 2022-03-03 | 2023-04-07 | 东南大学 | Large-scale MIMO robust WMMSE precoder and deep learning design method thereof |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895911A (en) * | 2010-07-23 | 2010-11-24 | 东南大学 | Self-adaption transmission method utilizing channel statistical information in multi-base station cooperative transmission system |
| CN102064866A (en) * | 2011-01-14 | 2011-05-18 | 东南大学 | Self-adaptive transmission method using channel statistical information in multi-user downlink transmission system |
| CN102342038A (en) * | 2009-03-03 | 2012-02-01 | 英特尔公司 | Transmission of channel quality data in wireless communication systems |
| CN102916735A (en) * | 2012-10-17 | 2013-02-06 | 东南大学 | Wireless communication method making use of large-scale antenna array |
| CN103546264A (en) * | 2013-11-13 | 2014-01-29 | 东南大学 | Large-scale MIMO wireless communication method based on pilot frequency multiplex |
| CN104219189A (en) * | 2014-09-03 | 2014-12-17 | 东南大学 | Angle-time delay domain pilot frequency multiplexing broadband mass MIMO (multiple input multiple output) communication method |
| CN104320171A (en) * | 2014-11-03 | 2015-01-28 | 东南大学 | Three-dimensional beam forming space division multi-access adaptive transmission method adopting statistic channel state information |
| CN105071843A (en) * | 2015-07-29 | 2015-11-18 | 东南大学 | Large-scale MIMO system low-complexity polynomial expansion matrix inversion method and application thereof |
| CN105580479A (en) * | 2013-09-24 | 2016-05-11 | 高通股份有限公司 | Carrier sense adaptive transmission (CSAT) in unlicensed spectrum |
-
2016
- 2016-10-10 CN CN201610887121.1A patent/CN106341216B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102342038A (en) * | 2009-03-03 | 2012-02-01 | 英特尔公司 | Transmission of channel quality data in wireless communication systems |
| CN101895911A (en) * | 2010-07-23 | 2010-11-24 | 东南大学 | Self-adaption transmission method utilizing channel statistical information in multi-base station cooperative transmission system |
| CN102064866A (en) * | 2011-01-14 | 2011-05-18 | 东南大学 | Self-adaptive transmission method using channel statistical information in multi-user downlink transmission system |
| CN102916735A (en) * | 2012-10-17 | 2013-02-06 | 东南大学 | Wireless communication method making use of large-scale antenna array |
| CN105580479A (en) * | 2013-09-24 | 2016-05-11 | 高通股份有限公司 | Carrier sense adaptive transmission (CSAT) in unlicensed spectrum |
| CN103546264A (en) * | 2013-11-13 | 2014-01-29 | 东南大学 | Large-scale MIMO wireless communication method based on pilot frequency multiplex |
| CN104219189A (en) * | 2014-09-03 | 2014-12-17 | 东南大学 | Angle-time delay domain pilot frequency multiplexing broadband mass MIMO (multiple input multiple output) communication method |
| CN104320171A (en) * | 2014-11-03 | 2015-01-28 | 东南大学 | Three-dimensional beam forming space division multi-access adaptive transmission method adopting statistic channel state information |
| CN105071843A (en) * | 2015-07-29 | 2015-11-18 | 东南大学 | Large-scale MIMO system low-complexity polynomial expansion matrix inversion method and application thereof |
Non-Patent Citations (2)
| Title |
|---|
| 大规模MIMO下行预编码技术;陆晨;《ZTE TECHNOLOGY JOURNAL》;20160331;第17页到第21页 |
| 迭代接收下高效链路自适应传输方法;薛昀等;《东南大学学报》;20140131;第44卷(第1期);第1页到第6页 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106341216A (en) | 2017-01-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106341216B (en) | A kind of wireless communication link adaptive approach and uplink downlink adaptive approach | |
| CN107483088B (en) | Large-scale MIMO robust precoding transmission method | |
| Mehlführer et al. | Simulating the long term evolution physical layer | |
| CN102725967B (en) | For the method and apparatus of information feed back and precoding | |
| EP2030387B1 (en) | Method for channel quality measures in a multiple antenna system. | |
| CN104702324B (en) | Extensive MIMO down link self adaption transmission methods | |
| CN104702390B (en) | Pilot distribution method in the estimation of distributed compression channel perception | |
| JP6405155B2 (en) | Signal processing apparatus, signal processing method, and program | |
| CN104734754A (en) | Beamforming weight training method and base station and terminal | |
| JP2010520657A (en) | Method and apparatus for selecting a precoding vector | |
| CN101228713A (en) | Pseudo eigen-beam forming with dynamic beam selection | |
| CN106506415B (en) | A kind of method of multi-user MIMO-OFDM system channel estimation | |
| WO2015158105A1 (en) | Method and apparatus for adaptive channel quality indicator selection, and computer storage medium | |
| CN103685090A (en) | Apparatus for MIMO channel performance prediction | |
| CN108880774A (en) | Frequency division duplex multi-user large-scale multi-antenna system and its down-bound pilot frequency signal Design of length method | |
| CN106533590B (en) | Uplink channel quality measurement method based on receiving end EVM | |
| KR20220019828A (en) | Transmission system with channel estimation based on neural networks | |
| CN110233653A (en) | Blind multipath recognition methods and system based on the mimo system for weighting integrated clustering algorithm | |
| CN109474388A (en) | Based on the low-complexity MIMO-NOMA system signal detection method for improving gradient projection method | |
| KR101979394B1 (en) | Adaptive transmission scheme determination apparatus based on MIMO-OFDM System using machine learning model and adaptive transmission method the same | |
| CN105519030A (en) | Computer program product and apparatus for fast link adaptation in a communication system | |
| CN106452662B (en) | A kind of method for precoding and device | |
| CN105960768B (en) | The method of coordination transmitting set and corresponding transmitter | |
| CN109257149A (en) | A kind of data receiver method and data reception device | |
| Dai et al. | On the information rate of MIMO systems with finite rate channel state feedback using beamforming and power on/off strategy |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |