Tree-Coding-Aided Adaptive-Cross-Entropy Algorithm for Hybrid Precoding With Low-Resolution Analog Phase Shifters

This paper considers the hybrid precoder design in millimeter wave (mmWave) multi-input multi-output (MIMO) systems with low-resolution analog phase shifters. Aiming at reducing the complexities of the near-optimal algorithms, we propose a low-complexity multi-user hybrid precoding scheme based on t...

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Vydané v:IEEE transactions on vehicular technology Ročník 71; číslo 6; s. 6807 - 6812
Hlavní autori: Zhang, Yu, Dong, Xiaodai, Yin, Fangfang, Qu, Meijun
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.06.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Adaptive algorithms
Algorithms
Antenna arrays
Baseband
Coding
Complexity
Complexity theory
Computer architecture
Cross-entropy
Entropy (Information theory)
hybrid precoding
Millimeter waves
MIMO
mmWave
Optimization
Optimized production technology
Phase shifters
Precoding
Radio frequency
tree-coding
ISSN:0018-9545, 1939-9359
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Shrnutí:This paper considers the hybrid precoder design in millimeter wave (mmWave) multi-input multi-output (MIMO) systems with low-resolution analog phase shifters. Aiming at reducing the complexities of the near-optimal algorithms, we propose a low-complexity multi-user hybrid precoding scheme based on tree-coding-aided adaptive-cross-entroy (TC-ACE) algorithm. By defining some discrete variables for the analog precoders and combiners, the problem of hybrid precoding is transformed into a cross-entroy (CE) optimization problem, which can be solved by iteratively updating the probability distributions of the predefined discrete variables. In order to derive the closed-form expression of the probability distributions, tree-coding is used to encode each entry of the analog precoders and combiners with a binary number. Through iterations, optimal analog precoders and combiners will be obtained when its probabilities are sufficiently high. Simulation results show that when the number of users exceeds a certain value, the proposed scheme outperforms the alternating minimization algorithm and coordinate descent method in terms of both the sum-rate and complexity.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3165689