CN103763072A - MIMO link self-adaptive transmission method - Google Patents

MIMO link self-adaptive transmission method Download PDF

Info

Publication number
CN103763072A
CN103763072A CN201410033083.4A CN201410033083A CN103763072A CN 103763072 A CN103763072 A CN 103763072A CN 201410033083 A CN201410033083 A CN 201410033083A CN 103763072 A CN103763072 A CN 103763072A
Authority
CN
China
Prior art keywords
under
error rate
frame error
transmission method
modulation
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.)
Granted
Application number
CN201410033083.4A
Other languages
Chinese (zh)
Other versions
CN103763072B (en
Inventor
高西奇
吴泳澎
薛昀
江彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Southeast University
Original Assignee
Southeast University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Southeast University filed Critical Southeast University
Priority to CN201410033083.4A priority Critical patent/CN103763072B/en
Publication of CN103763072A publication Critical patent/CN103763072A/en
Application granted granted Critical
Publication of CN103763072B publication Critical patent/CN103763072B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Abstract

The invention discloses a link self-adaptive transmission method suitable for iteration receiving under limited character input signals. Firstly, under all modulation code schemes, the relation of handling capacity and the frame error rate under the iteration receiving condition is obtained, and the threshold value of handling capacity is calculated according to the requirement of the frame error rate; secondly, the average speed of different codebooks under Gaussian input signals and multiple channel samples is calculated, and then a modulation code scheme is preliminarily selected when the requirement of the frame error rate is met and the handling capacity is maximized; finally, the average mutual information of all precoding codons under limited character input signals and multiple channel samples is calculated, and precoding codons and modulation code schemes meeting the requirement of the frame error rate are selected according to the average mutual information. The link self-adaptive transmission method is suitable for MIMO link self-adaptive control under the iteration receiving condition, calculated amount and transmission delay are lowered, and the method is easy to achieve.

Description

A kind of MIMO link self-adaption transmission method
Technical field
The present invention relates to the link self-adaption transmission method under a kind of limited character input signal, especially relate to the link self-adaption transmission method that is suitable for iterative receiver in multiple input multiple output (MIMO) wireless communication system under limited character input signal.
Background technology
For meeting future mobile communication system to the demand of high data rate more, mimo wireless communication system improves and has strengthened air interface technologies.In actual wireless propagation environment, along with subscriber equipment (UE, User Equipment) movement, UE and base station (BS, Base Station) channel between may experience different types, thereby has caused the decline of open-loop transmission systematic function, therefore, in mimo wireless communication system, adopt closed loop transmission technology to be adaptive to the variation of channel circumstance.
Under mimo wireless communication system closed loop transmission pattern and limited character input signal, UE realizes link circuit self-adapting by parameters such as feeding back precoding matrix, modulation system and code rates and transmits.Optimum link adaptive transmission method, be characterized in the feedback parameter of UE to complete by Syndicating search: calculate the optimum pre-coding matrix under each modulation system, the maximization equivalent channel mutual information of take is criterion, in the system of assurance frame error rate, be no more than under the prerequisite of default thresholding, select optimum modulation system and corresponding code rate thereof.Generally speaking, under each modulation system and each code rate, the mutual information of restraining by the method acquisition iterative receiver of emulation contrasts figure with frame error rate, according to frame error rate, require to obtain mutual information thresholding.Iterative receiver mutual information just can guarantee that when being not less than mutual information thresholding frame error rate is no more than default thresholding.
Iterative receiver is raising wireless communication system receptivity, realizes the effective ways that approach the transmission of channel mutual information.In conjunction with take the precoding technique that channel mutual information maximization is criterion, the achievable rate of iterative receiver approaches channel maximum mutual information.Utilize this feature, the mutual information under limited character input signal just can be used as the achievable rate of iterative receiver.According to gained mutual information, can be in link circuit self-adapting transmission technology selecting modulation mode and code rate.And the amount of calculation of optimum link adaptive approach is very large, under limited character input signal, the traversal search of pre-coding matrix increases computing time, and the delay causing is unfavorable to link circuit self-adapting transmission.The present invention provides a kind of efficient chain circuit self-adaptive method, and it is more much lower than the computation complexity of optimum link adaptive approach, and spectrum efficiency is approached the spectrum efficiency of optimum link adaptive approach.
Summary of the invention
Goal of the invention: for problems of the prior art and deficiency, the invention provides the link self-adaption transmission method that is suitable for iterative receiver under a kind of limited character input signal, the method is utilized and is tentatively determined modulation system with speed expression formula under Gauss's input signal, carry out on this basis the selection of the search of optimal transmission pre-encoding codeword and code modulating method, the method proposing has reduced amount of calculation and propagation delay time, and spectrum efficiency is approached the spectrum efficiency of optimum link adaptive transmission method.
Technical scheme: a kind of MIMO link self-adaption transmission method, comprises the steps:
Step 1, under each Modulation and Coding Scheme, the method by emulation obtains throughput and the frame error rate relation of iterative receiver convergence, according to frame error rate requirement calculate throughput threshold value;
Step 2, employing Gauss input signal hypothesis, calculate the average and speed of different code books under a plurality of channel samples;
Step 3, take maximize throughput as criterion initial option Modulation and Coding Scheme meeting when frame error rate requires;
Step 4, calculate and under limited character input signal, use the Average Mutual of each pre-encoding codeword under a plurality of channel samples.
Step 5, according to Average Mutual, select to meet pre-encoding codeword and the Modulation and Coding Scheme that frame error rate requires.
In described link self-adaption transmission method step 3, utilize to obtain the preliminary scope of limited input signal modulated mode with speed expression formula under Gauss's input signal.
In described link self-adaption transmission method step 4, after preliminary selected modulation system, utilize the mutual information computing formula under limited character input signal to calculate the Average Mutual of each pre-encoding codeword under selected modulation system and a plurality of channel samples.
In described link self-adaption transmission method step 5, select to make the maximized pre-encoding codeword of Average Mutual, and utilize throughput and frame error rate relation, select to meet under this pre-encoding codeword the Modulation and Coding Scheme of frame error rate requirement.
Beneficial effect: compared with prior art, the link self-adaption transmission method under limited character input signal provided by the invention, has the following advantages:
1) pre-coding matrix of design can be applicable to the transfer of data between a plurality of channel samples, has good versatility and practicality.
2) link self-adaption transmission method proposing has reduced operand and memory space in original system resource, and has reduced propagation delay time, is easy to realize in practical communication system.
3) link self-adaption transmission method proposing is suitable for receiving terminal and adopts iterative receiver, approaches optimum link adaptive transmission method in throughput, has efficient efficiency of transmission.
Accompanying drawing explanation
Fig. 1 is MIMO transmission system block diagram;
Fig. 2 is link circuit self-adapting structured flowchart.
Embodiment
Below in conjunction with specific embodiment, further illustrate the present invention, should understand these embodiment is only not used in and limits the scope of the invention for the present invention is described, after having read the present invention, those skilled in the art all fall within the application's claims limited range to the modification of the various equivalent form of values of the present invention.
Fig. 1 has provided MIMO transmission system block diagram.Consider that a number of transmit antennas is N t, reception antenna number is N rlink, signal input/output relation can be expressed as:
y n=H nWx n+z n,n=1,2,...,N
Wherein, N represents channel samples number,
Figure BDA0000461156760000031
be n receiving symbol vector;
Figure BDA0000461156760000032
be n channel matrix sample; x nbe n and send symbolic vector, have unit energy, the modulation symbol generating after its each element coded modulation, takes from modulation symbol collection; Suppose total K kind modulation symbol collection, large I sequence is: M 1< M 2< ... < M k; z nthat average is zero, variance is σ 2additivity white complex gaussian noise; W is pre-coding matrix, from codebook set
Figure BDA0000461156760000033
middle generation.
Fig. 2 is link circuit self-adapting structured flowchart of the present invention.
Step 1, under each Modulation and Coding Scheme, the method by emulation obtains throughput and the frame error rate relation in iterative receiver situation, according to frame error rate requirement calculate throughput threshold value.
At additive white Gaussian noise channel, by the method for demodulator and decoder emulation being obtained to the functional relation of frame error rate and throughput of system under various Modulation and Coding Scheme
FER=LUT(R,I MCS)
In formula, R represents throughput of system; I mCS∈ 1,2 ..., N mCS, N mCSbe the total number of Modulation and Coding Scheme, function LUT can be stored in look-up table.Thus, computation index is I mCSmodulation and Coding Scheme meet link error code word rate and be less than or equal to FER 0the throughput threshold value requiring:
R th , FER 0 ( I MCS ) = LUT - 1 ( FER = FER 0 , I MCS )
Step 2, for different code books, calculate the average and speed of the system of a plurality of channel samples under Gauss's input signal hypothesis.
1. for code book W twith channel samples H n, calculate system and speed under Gauss's input signal hypothesis:
R sum ( n , t ) = log 2 det ( I N T + W t H H n H H n W t )
Wherein:
Figure BDA0000461156760000049
for N t* N tidentity matrix.
2. calculate code book W taverage and speed for N channel samples:
R sum , avg ( t ) = 1 N &Sigma; n = 1 N R sum ( n , t )
3. calculate the maximum of average and speed
R sum , avg final = max t &Element; [ 1,2 , . . . , T ] R sum , avg ( t )
Step 3, take maximize throughput as criterion initial option modulation system meeting when frame error rate requires.Particularly, according to frame error rate, be less than or equal to FER 0and the criterion selecting modulation mode of maximize throughput:
m * =arg max I MCS &Element; { 1,2 , . . . , N MCS } { R th , FER 0 ( I MCS ) | R sum , avg final &GreaterEqual; R th , FER 0 ( I MCS ) }
Consider because the selection under Gauss's input signal hypothesis may bring performance error, tentatively by m *-1 and m *two kinds of modulation systems are as possible modulation system under limited character input signal.
Step 4, at codebook set
Figure BDA0000461156760000046
in determine optimal transmission pre-encoding codeword, and calculate the Average Mutual of this pre-encoding codeword under a plurality of channel samples.
1. for code book W t, obtain equivalent channel
Figure BDA0000461156760000047
t=1,2 ..., T.
2. for code book W twith two kinds of modulation system m *-1 and m *, calculate respectively the Average Mutual of N channel samples under limited character input hypothesis:
I finite , m * - 1 , t ( x , y ) = N T log 2 M m * - 1 - 1 NN m * - 1 N T &Sigma; n = 1 N &Sigma; a = 1 M m * - 1 N T E z { log 2 &Sigma; b = 1 M m * - 1 N T e - d a , b , n , m * - 1 , t }
I finite , m * , t ( x , y ) = N T log 2 M m * - 1 NN m * N T &Sigma; n = 1 N &Sigma; a = 1 M m * N T E z { log 2 &Sigma; b = 1 M m * N T e - d a , b , n , m * , t }
Wherein d a , b , n , m , t = &sigma; - 2 ( | | H ~ n , t ( x n , a , m - x n , b , m ) + z n | | 2 - | | z n | | 2 ) , X n, a, mexpression is by M mthe constellation set x that unit's modulation signal forms nin a element.
Step 5, according to Average Mutual, select to meet pre-encoding codeword and the Modulation and Coding Scheme that frame error rate requires.
1. calculate maximum and the optimum code word of the lower Average Mutual of limited character input signal hypothesis:
I finite , final ( x , y ) = max t &Element; [ 1,2 , . . . , T ] { I m * - 1 , t ( x , y ) , I m * , t ( x , y ) } t * =arg max t &Element; [ 1,2 , . . . , T ] { I m * - 1 , t ( x , y ) , I m * , t ( x , y ) }
2. for optimum code word, according to error code word rate, be less than or equal to FER 0and the criterion of maximize throughput is selected modulation coding mode:
{ m * , c * } = arg max I MCS &Element; { 1,2 , . . . , N MCS } { R th , FER 0 ( I MCS ) | I finite , final ( x , y ) &GreaterEqual; R th , FER 0 ( I MCS ) }

Claims (4)

1. a MIMO link self-adaption transmission method, is characterized in that, comprises the steps:
Step 1, under each Modulation and Coding Scheme, the method by emulation obtains throughput and the frame error rate relation of iterative receiver convergence, according to frame error rate requirement calculate throughput threshold value;
Step 2, employing Gauss input signal hypothesis, calculate the average and speed of different code books under a plurality of channel samples;
Step 3, take maximize throughput as criterion initial option Modulation and Coding Scheme meeting when frame error rate requires;
Step 4, calculate and under limited character input signal, use the Average Mutual of each pre-encoding codeword under a plurality of channel samples;
Step 5, according to Average Mutual, select to meet pre-encoding codeword and the Modulation and Coding Scheme that frame error rate requires.
2. MIMO link self-adaption transmission method according to claim 1, is characterized in that, in described step 3, utilizes to obtain the preliminary scope of limited input signal modulated mode with speed expression formula under Gauss's input signal.
3. MIMO link self-adaption transmission method according to claim 1, it is characterized in that, in described step 4, after preliminary selected modulation system, utilize the mutual information computing formula under limited character input signal to calculate the Average Mutual of each pre-encoding codeword under selected modulation system and a plurality of channel samples.
4. MIMO link self-adaption transmission method according to claim 1, it is characterized in that, in described step 5, select to make the maximized pre-encoding codeword of Average Mutual, and utilize throughput and frame error rate relation, select to meet under this pre-encoding codeword the Modulation and Coding Scheme of frame error rate requirement.
CN201410033083.4A 2014-01-23 2014-01-23 MIMO link self-adaptive transmission method Active CN103763072B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410033083.4A CN103763072B (en) 2014-01-23 2014-01-23 MIMO link self-adaptive transmission method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410033083.4A CN103763072B (en) 2014-01-23 2014-01-23 MIMO link self-adaptive transmission method

Publications (2)

Publication Number Publication Date
CN103763072A true CN103763072A (en) 2014-04-30
CN103763072B CN103763072B (en) 2017-02-22

Family

ID=50530243

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410033083.4A Active CN103763072B (en) 2014-01-23 2014-01-23 MIMO link self-adaptive transmission method

Country Status (1)

Country Link
CN (1) CN103763072B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106686711A (en) * 2017-02-24 2017-05-17 深圳清华大学研究院 Single antenna descending NOMA system Power distribution method
CN113746512A (en) * 2020-05-27 2021-12-03 华为技术有限公司 Downlink precoding method, device and base station
US11196512B2 (en) * 2018-06-29 2021-12-07 Qualcomm Incorporated Resolving decodability for subsequent transmissions whose throughput exceeds a threshold

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1642064A (en) * 2005-01-06 2005-07-20 东南大学 Link adaptive realizing method based on optimum transmission frame length for mobile communication system
WO2006043242A1 (en) * 2004-10-20 2006-04-27 Koninklijke Philips Electronics, N.V. A system and method for dynamic adaptation of data rate and transmit power with a beaconing protocol
CN103209049A (en) * 2013-02-27 2013-07-17 东南大学 Link self-adaptation transmission method under iteration receiving condition

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2006043242A1 (en) * 2004-10-20 2006-04-27 Koninklijke Philips Electronics, N.V. A system and method for dynamic adaptation of data rate and transmit power with a beaconing protocol
CN1642064A (en) * 2005-01-06 2005-07-20 东南大学 Link adaptive realizing method based on optimum transmission frame length for mobile communication system
CN103209049A (en) * 2013-02-27 2013-07-17 东南大学 Link self-adaptation transmission method under iteration receiving condition

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郑国强 等: "一种新的MIMO无线通信系统链路自适应算法", 《通信技术》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106686711A (en) * 2017-02-24 2017-05-17 深圳清华大学研究院 Single antenna descending NOMA system Power distribution method
CN106686711B (en) * 2017-02-24 2020-02-07 深圳清华大学研究院 Power distribution method of single-antenna downlink NOMA system
US11196512B2 (en) * 2018-06-29 2021-12-07 Qualcomm Incorporated Resolving decodability for subsequent transmissions whose throughput exceeds a threshold
US11695509B2 (en) 2018-06-29 2023-07-04 Qualcomm Incorporated Resolving decodability for subsequent transmissions whose throughput exceeds a threshold
CN113746512A (en) * 2020-05-27 2021-12-03 华为技术有限公司 Downlink precoding method, device and base station
CN113746512B (en) * 2020-05-27 2023-04-07 华为技术有限公司 Downlink precoding method, device and base station

Also Published As

Publication number Publication date
CN103763072B (en) 2017-02-22

Similar Documents

Publication Publication Date Title
CN109921882B (en) Deep learning-based MIMO decoding method, device and storage medium
CN102308508B (en) Adaptive precoding codebooks for wireless communications
CN102301666B (en) Precoding codebook and feedback representation
CN102598523B (en) Tomlinson harashima precoding with additional receiver processing in a multi-user multiple-input multiple-output wireless transmission system
CN102725967B (en) For the method and apparatus of information feed back and precoding
CN102624666B (en) Cyclic coding method of multi-channel transceiving orthogonal multi-carrier underwater acoustic communication in sparse channel model
CN102439868A (en) Method, communication system and related equipments for data transmission
CN101848071A (en) Nonlinear decoding method for limited feedback precoding in layered space-time system
CN103840870A (en) Method for lowering limiting feedback expenditure of 3D MIMO channel
CN103138815B (en) Based on incomplete channel information method for precoding in space correlation MISO system
CN105187355A (en) Antenna selection-power adaption spatial modulation method
CN110289897A (en) A kind of down beam shaping method of spatial modulation system
CN103209049B (en) Link self-adaption transmission method in iterative receiver situation
CN103731233A (en) Code word feedback method and receiver
CN101079660A (en) Downlink power distribution method of multi-user JT MIMO system
CN106301496A (en) Based on sky line options and the spatial modulation system of precoding
CN103763072B (en) MIMO link self-adaptive transmission method
CN103259585B (en) Based on downlink beamforming method and the system thereof of transceiver loss
CN103051420B (en) Codebook generation method of MIMO (Multiple-Input Multiple-output) system
CN102820938B (en) Detection method for multi-antenna superimposing coding modulation system
Ekbatani et al. Combining beamforming and space-time coding using noisy quantized feedback
CN106788630B (en) Power distribution method based on reduction of upper bound of real-time error bit probability
CN108599899A (en) A kind of cloud access row off the net is without speed rates mechanism
CN105049099A (en) Multi-antenna self-adaptive scheduling method for LTE multi-antenna system
CN102377528B (en) Data transmission method, transmitting end and receiving end in cooperative communication system

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant