CN114050894A - Optimized power distribution method suitable for MIMO and OFDM communication system - Google Patents

Optimized power distribution method suitable for MIMO and OFDM communication system Download PDF

Info

Publication number
CN114050894A
CN114050894A CN202111324709.3A CN202111324709A CN114050894A CN 114050894 A CN114050894 A CN 114050894A CN 202111324709 A CN202111324709 A CN 202111324709A CN 114050894 A CN114050894 A CN 114050894A
Authority
CN
China
Prior art keywords
power
channel
mimo
power distribution
ldpc code
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
CN202111324709.3A
Other languages
Chinese (zh)
Other versions
CN114050894B (en
Inventor
林灯生
陈文楷
邹亚梅
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.)
University of Electronic Science and Technology of China
Original Assignee
University of Electronic Science and Technology of China
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 University of Electronic Science and Technology of China filed Critical University of Electronic Science and Technology of China
Priority to CN202111324709.3A priority Critical patent/CN114050894B/en
Publication of CN114050894A publication Critical patent/CN114050894A/en
Application granted granted Critical
Publication of CN114050894B publication Critical patent/CN114050894B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0003—Two-dimensional division
    • H04L5/0005—Time-frequency
    • H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A), DMT
    • 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
    • H04B7/0426—Power distribution
    • 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
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • 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
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0056—Systems characterized by the type of code used
    • H04L1/0061—Error detection codes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0014—Three-dimensional division
    • H04L5/0023—Time-frequency-space
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/006—Quality of the received signal, e.g. BER, SNR, water filling
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

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

Abstract

The invention belongs to the technical field of communication, and particularly relates to an optimized adaptive power distribution method based on irregular LDPC code transmission in MIMO and OFDM communication systems. The method utilizes the channel condition estimated by the channel state information under the condition of ensuring that the average power of each transmitting antenna of the MIMO system is kept unchanged, then cooperates with a corresponding precoding scheme to calculate the optimized power distribution value by theory, and utilizes the power distribution value to adjust the transmitting power of the symbol after being coded and modulated by the LDPC code, thereby optimizing the error correction performance of the LDPC code under the transmission model, improving the transmission efficiency and increasing the transmission reliability.

Description

Optimized power distribution method suitable for MIMO and OFDM communication system
Technical Field
The invention belongs to the technical field of communication, and relates to an optimized adaptive power distribution method based on irregular LDPC code transmission in MIMO and OFDM communication systems.
Background
Low-density parity-check codes (LDPC) are linear block codes, proposed by r.gallager.low-density parity-check codes J in 1962].IRE Transactions on Information Theory,1962,8(1): 21-28). In 2001, a renewed study by Mackay et al confirmed that LDPC codes have performance approaching the Shannon limit (D.J.C.MacKay and R.M.New.New.New.near Shannon limit performance of low sensitivity parity codes [ J.C.C.MacKay and R.M.New.New.New.New.New.]IEE Electron, Lett.,1997,33(6): 457-458.). Then attracting the attention of a large number of researchers, among them, T.J.Richardson proposes that LDPC codes can be theoretically analyzed and optimally constructed using density evolution Theory (T.J.Richardson, R.L.Urbank.Effect encoding of low-density parity-codes, 2001,47(2): 638-. Sae-Young et al developed this theory and proposed a Gaussian approximation method (S.Y. Chung, T.J.Richardson, and R.L.Urbank. analysis of sum-product decoding of low-density parity-codes using a Gaussian approximation. IEEE Transactions on Information the theory,2001,47(2):657-670), further analyzing the performance of LDPC codes and optimizing the design of codes by a simplified Gaussian approximation model. LDPC codes have become 3GPP (3) at presentrdGeneration partial near Project)5G eMBB (enhanced Mobile Broadband) standard error correction code for uplink and downlink shared channels (3GPP TS 38.212 V16.1.0, Technical specification group radio access network; NR; multiplexing and channel coding (Release16) [ S ]]3GPP,2020), finds widespread use in reality. Multiple Input Multiple Output (MIMO) technology and Orthogonal Frequency Division Multiplexing (OFDM) technology are also the essential basic technology of broadband mobile communication system (3GPP TS 38.211 V16.1.0, Technical specification group radio access network; NR; Physical channels and modulation (Release16) [ S ] at present]Valbone 3GPP 2020). Precoding is a necessary technique for MIMO application, and divides a coded and modulated data stream into a plurality of signal streams for parallel transmission, so as to improve transmission efficiency. With the gradual complexity and flexibility of modern mobile communication protocols represented by cellular mobile communication, to adapt to more complex application scenarios, the allocation of channel coding and MIMO precoding is required to be more diversified, which causes the occurrence of differentiation due to the noise influence experienced by different parallel data streams after precoding, thereby seriously affecting the performance of channel error correction coding.The conventional power optimization method does not consider the power distribution problem of the model, so an effective optimized power distribution method suitable for the model needs to be specially designed.
Disclosure of Invention
The invention aims at the problem that when one LDPC code word is subjected to precoding processing, different code elements of the LDPC code word are often subjected to signal fading of different degrees, which seriously influences the error correction performance of the LDPC code. The invention aims to provide a method for self-adaptive power distribution in a system based on MIMO precoding and OFDM modulation and adopting LDPC coding, in particular to a method which is suitable for the most common irregular LDPC coding and has wider applicability.
The adaptive power allocation method of the present invention comprises the steps of:
step 1, carrying out LDPC code coding on information to be transmitted to obtain a code word with the length of n. Selected LDPC codes have a row degree distribution of
Figure BDA0003346557360000021
A column degree distribution of
Figure BDA0003346557360000022
Wherein λ isiRefers to the percentage of variable nodes with degree i to total variable nodes, piRefers to the percentage of check nodes with degree i to the total check nodes. dvAnd dcMaximum row weight and column weight, respectively.
Step 2, carrying out BPSK modulation on the n coded symbols;
step 3, the transmitting end receives the channel state information H transmitted from the receiving endsThen, according to the frame structure, H is divided intosExpansion into a 3-dimensional array H by interpolationmCorresponding to three dimensions of time, frequency and space, and the dimensions are n respectivelyt、nfAnd nsAnd let n bet×nf×nsN, then solving for its H according to the conventional MIMO precoding algorithmmCorresponding pre-coding matrix W, solving channel power gains corresponding to n time-frequency space resource grids according to corresponding pre-coding algorithm, then averaging channel gains of time-frequency dimensionality to obtain nsAverage post-channel power gain value pi,i＝1,…,ns。
And 4, calculating the transmitting power of the modulation symbol according to the channel power gain, wherein the calculation process is as follows:
calculating a function
Figure BDA0003346557360000023
Wherein x ranges from 0 to 1, α -0.3342, β -0.1154,
Figure BDA0003346557360000024
for all rhoiTaking the largest one of the values;
(x) is 0<x<Minimum value f in the range of 1m；
Calculating intermediate variable q of transmitting power gaini. Define a set omega, starting with an empty set, and then calculate q as followsi：
Figure BDA0003346557360000031
Each time q is calculatediThen, if qi≤1/nsIf so, continue to calculate the next qiOtherwise, let qi＝1/nsWhile i is added to the set omega, and then the remaining q continues to be calculatedj(0<j≤nsI ≠ j) up to all qi≤1/nsUntil the end;
fourthly, the transmitting power g is calculated according to the following formulai：
Figure BDA0003346557360000032
Normalizing emission power:
Figure BDA0003346557360000033
here, the first and second liquid crystal display panels are,
Figure BDA0003346557360000034
averaging the power of each transmit antenna; and obtaining a power distribution result through a normalized transmitting power formula.
After obtaining the power distribution result, the signal transmission further comprises the following steps:
step 5, dividing the n modulation symbols obtained in the step 2 into time-frequency space 3-dimensional signals according to the frame format requirements defined in the step 3, and multiplying the symbols mapping the time-frequency resource grids by corresponding amplitudes according to the difference of the space dimensions
Figure BDA0003346557360000035
Step 6, precoding the space domain dimension signals by the n modulation symbols after power adjustment according to the process of the step 3;
step 7, sending the precoded data to different transmitting antenna ports;
step 8, carrying out OFDM modulation on the time-frequency signal on each transmitting antenna;
and 9, sending the OFDM modulated signals to a radio frequency for modulation, and finally sending the signals to an antenna for transmission.
The receiving end process is the same as the conventional receiver except that power reduction is required to be added after the precoding is removed. The power reduction is that according to the step 5 of the transmitter, the corresponding precoded signal is decoded, and the corresponding non-zero amplitude obtained according to the step 4 of the transmitting end is divided according to the difference of the space domain dimensions
Figure BDA0003346557360000036
When p isiAt 0, the corresponding received symbol log-likelihood ratio is zeroed out.
The invention has the advantages that under the condition of basically not changing the traditional transmitting and receiving processes, the error correction performance of the LDPC code can be effectively enhanced only by reasonable power distribution calculation, the performance deterioration of the LDPC code caused by signal fading due to MIMO precoding is compensated, and the transmission efficiency and reliability are improved.
Drawings
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
The following examples are given to further illustrate the embodiments of the present invention.
Example 1
The data transceiving process based on the invention specifically comprises the following steps:
step 1, selecting LDPC code with code length of 1024, and the degree distribution of rows and columns is respectively
λ(x)＝0.45x+0.337x2+0.213x5
ρ(x)＝0.511x4+0.431x5+0.058x6
Wherein d isv＝6，dc＝7；
Step 2, carrying out BPSK modulation on the 1024 coded symbols;
step 3, the time-frequency space dimensions of the selected frame format are n respectivelyt＝nf＝16,nsExpanding a channel information array H by linear interpolation according to the channel state information transmitted by the receiver as 4mFor each group of time-frequency signals, a precoding method of Singular Value Decomposition (SVD) is adopted to obtain a corresponding precoding matrix W, 256 precoding matrixes are obtained in total, the power gains of the 256 groups of precoded channels are obtained, 4 channel power gains are provided in each group, then the average Value of the channel gains of the time-frequency dimension is obtained, and 4 average channel power gain values p are obtainedi＝[0.09 0.52 0.33 0.06]。
And 4, calculating the transmitting power of the modulation symbol according to the channel power gain, wherein the calculation process is as follows:
calculating the following function
Figure BDA0003346557360000041
Wherein x ranges from 0 to 1, α -0.3342, β -0.1154, and d'c＝5；
(x) is 0<x<Minimum value in the range of 1, to fm＝0.746；
Calculating intermediate variable q of transmitting power gaini. Define a set omega, starting with an empty set, and then calculate q as followsi：
Figure BDA0003346557360000042
The first calculation is as follows: omega is a null set, and q is obtained10.253; because q is1>1/4, therefore, q1＝0.25；
And (3) calculating for the second time: upgrade Ω ═ {1}, and find q2＝0.044；
The third calculation: q 1, q3＝0.07；
The fourth calculation: q 1, q40.383; due to q4>1/4, therefore, q4＝0.25；
And (5) finishing the calculation.
Fourthly, the transmitting power g is calculated according to the following formulai：
Figure BDA0003346557360000051
The following can be obtained: g1＝92.18,g2＝25.94,g3＝36.75,g4＝138.27；
Normalizing emission power:
Figure BDA0003346557360000052
order to
Figure BDA0003346557360000053
The following can be obtained:
Figure BDA0003346557360000054
Figure BDA0003346557360000055
Figure BDA0003346557360000056
Figure BDA0003346557360000057
step 5, dividing 1024 modulation symbols obtained in the step 2 into time-frequency space 3-dimensional signals according to the frame format requirements defined in the step 3, and multiplying the symbols corresponding to the mapping time-frequency resource grids by corresponding amplitudes according to different space dimensions
Figure BDA0003346557360000058
Figure BDA0003346557360000059
Step 6, precoding the space domain dimension signals by 1024 modulation symbols after power adjustment according to the process of the step 3;
step 7, sending 4 parallel data streams with the length of 256 after precoding to different transmitting antenna ports;
step 8, carrying out OFDM modulation on the time-frequency signal on each transmitting antenna, wherein the OFDM modulation order is more than 256;
and 9, sending the OFDM modulated signals to a radio frequency for modulation, and finally sending the signals to an antenna for transmission.
The receiving end process is the same as the conventional receiver except that power reduction is required to be added after the precoding is removed. The power reduction is that according to the step 5 of the transmitter, the symbol corresponding to the time-frequency resource grid after the pre-coding is correspondingly decoded is divided by the symbol according to the difference of the space dimension
Figure BDA00033465573600000510

Claims (1)

1. An optimized power allocation method for use in MIMO and OFDM communication systems, comprising the steps of:
step 1, carrying out LDPC code coding on information to be transmitted to obtain a code word with the length of n; the row degree distribution of the LDPC code adopted is
Figure FDA0003346557350000011
A column degree distribution of
Figure FDA0003346557350000012
Wherein λ isiRefers to the percentage of variable nodes with degree i to total variable nodes, piThe percentage of check nodes with index i to the total check nodes, dvAnd dcMaximum row weight and column weight respectively;
step 2, carrying out BPSK modulation on the coded n code elements;
step 3, the transmitting end receives the channel state information H transmitted from the receiving endsThen, according to the frame structure, H is divided intosExpansion into a 3-dimensional array H by interpolationmCorresponding to three dimensions of time, frequency and space, and the dimensions are n respectivelyt、nfAnd nsAnd n ist×nf×nsSolving H according to MIMO precoding algorithm when n is equal to nmCorresponding pre-coding matrix W, simultaneously solving channel power gains corresponding to n time-frequency space resource grids, then averaging channel gains of time-frequency dimensionality to obtain nsAverage post-channel power gain value pi,i＝1,...,ns；
Step 4, calculating the transmitting power of the modulation symbol according to the channel power gain, which specifically comprises the following steps:
defining the calculation function as:
Figure FDA0003346557350000013
wherein x is in the range of 0 to 1, α -0.3342, β -0.1154, d'cFor all rhoiAt the maximum one of the values corresponds toSubject to the word
Figure FDA0003346557350000014
For all rhoiTaking the largest one of the values;
calculating an intermediate variable q of the transmit power gainiDefining a set omega, starting with an empty set, and calculating q as followsi：
Figure FDA0003346557350000015
Wherein f ismIs f (x) is at 0<x<1, for every q calculatediThen, if qi≤1/nsIf so, continue to calculate the next qiOtherwise, let qi＝1/nsWhile i is added to the set omega, and then the remaining q continues to be calculatedj，0<j≤nsI ≠ j, up to all qi≤1/nsUntil the end;
the transmit power g is calculated as followsi：
Figure FDA0003346557350000021
Normalized transmission power:
Figure FDA0003346557350000022
wherein
Figure FDA0003346557350000023
And obtaining a power distribution result by normalizing the transmitting power formula for averaging the power of each transmitting antenna.
CN202111324709.3A 2021-11-10 2021-11-10 Optimized power distribution method suitable for MIMO and OFDM communication system Active CN114050894B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111324709.3A CN114050894B (en) 2021-11-10 2021-11-10 Optimized power distribution method suitable for MIMO and OFDM communication system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111324709.3A CN114050894B (en) 2021-11-10 2021-11-10 Optimized power distribution method suitable for MIMO and OFDM communication system

Publications (2)

Publication Number Publication Date
CN114050894A true CN114050894A (en) 2022-02-15
CN114050894B CN114050894B (en) 2022-08-05

Family

ID=80208135

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111324709.3A Active CN114050894B (en) 2021-11-10 2021-11-10 Optimized power distribution method suitable for MIMO and OFDM communication system

Country Status (1)

Country Link
CN (1) CN114050894B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101707487A (en) * 2009-02-03 2010-05-12 天津博微科技有限公司 Bidirectional-correcting multimode belief propagation iterative LDPC coding method
WO2017197237A1 (en) * 2016-05-13 2017-11-16 Intel Corporation Evolved node-b (enb), user equipment (ue) and methods for adaptive beamforming and channel state information (csi) reporting
US20190297649A1 (en) * 2018-03-22 2019-09-26 California Institute Of Technology Coded Random Access Mechanism for Communication Networks
CN110380803A (en) * 2019-07-18 2019-10-25 电子科技大学 A kind of adaptive tracking control method based on LDPC code transmission

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101707487A (en) * 2009-02-03 2010-05-12 天津博微科技有限公司 Bidirectional-correcting multimode belief propagation iterative LDPC coding method
WO2017197237A1 (en) * 2016-05-13 2017-11-16 Intel Corporation Evolved node-b (enb), user equipment (ue) and methods for adaptive beamforming and channel state information (csi) reporting
US20190297649A1 (en) * 2018-03-22 2019-09-26 California Institute Of Technology Coded Random Access Mechanism for Communication Networks
CN110380803A (en) * 2019-07-18 2019-10-25 电子科技大学 A kind of adaptive tracking control method based on LDPC code transmission

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JIENAN CHEN: ""Hybrid Beamforming/Combining for Millimeter Wave MIMO: A Machine Learning Approach"", 《IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 》 *
R. TANNER: ""A Recursive Approach to Low Complexity codes"", 《 IEEE TRANSACTIONS ON INFORMATION THEORY 》 *

Also Published As

Publication number Publication date
CN114050894B (en) 2022-08-05

Similar Documents

Publication Publication Date Title
US7991090B2 (en) Method and system for reordered QRV-LST (layered space time) detection for efficient processing for multiple input multiple output (MIMO) communication systems
US20060215781A1 (en) Method for detecting and decoding a signal in a MIMO communication system
CN112350814B (en) Efficient uplink SCMA codebook design method
US11258536B2 (en) Method and apparatus for encoding/decoding channel in communication or broadcasting system
CN102100013A (en) Method and system for antenna training and communication protocol for multi-beamforming communication
CN107017927B (en) Base station DAC precision configuration method in large-scale MIMO system
CN104917588A (en) Channel coding method improving transmission reliability of non-line of sight millimeter wave indoor communication system
Sergienko et al. SCMA detection with channel estimation error and resource block diversity
CN110661555A (en) Hybrid precoding algorithm for partially connected phase shifter networks for massive MIMO
CN112054830B (en) Massive MIMO (multiple input multiple output) signal energy simultaneous transmission system optimization method aiming at hardware damage
EP3661084A1 (en) Method and apparatus for encoding/decoding channel in communication or broadcasting system
US10511060B2 (en) Encoding method and device using rate-compatible, low-density parity-check code in communication system
EP2064825B1 (en) Multiple-input-multiple-output transmission using non-binary ldpc coding
Ermolaev et al. Advanced approach for TX impairments compensation based on signal statistical analysis at the RX side
CN114050894B (en) Optimized power distribution method suitable for MIMO and OFDM communication system
Koo et al. Delay-rate tradeoff for ergodic interference alignment in the Gaussian case
CN103139133A (en) Adaptive coding and modulation method applied to multiple-input multiple-output-orthogonal frequency division multiplexing (MIMO-OFDM) system
US20230318745A1 (en) Method for coding on time space two dimensional channel
CN107070451B (en) Equipment ADC precision configuration method in large-scale MIMO system
CN110380803B (en) Self-adaptive power distribution method based on LDPC code transmission
CN104184550A (en) Symbol interlacing and de-interlacing method and device adaptive to three-dimensional information
EP4264849A1 (en) Transceiver method between receiver (rx) and transmitter (tx) in an overloaded communication channel
EP3662586B1 (en) Improved block-diagnolization based beamforming
CN101150730B (en) Generation method and device for low-density checksum family for video playing application
Sheikh et al. Energy efficient image transmission through orthogonal frequency division multiplexing (OFDM) based multiple input multiple output (MIMO) systems

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant