Hybrid block diagonalization precoding for multi-user weighted sum-rate maximization

This paper studies large-scale multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) communications in a broadband frequency-selective channel, where a massive MIMO base station (BS) communicates with multiple users equipped with multi-antenna. We develop a hybrid precodi...

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Vydáno v:China communications Ročník 21; číslo 8; s. 127 - 141
Hlavní autoři: Xiaofeng, Su, Yi, Jiang
Médium: Journal Article
Jazyk:angličtina
Vydáno: China Institute of Communications 01.08.2024
Key Laboratory for Information Science of Electromagnetic Waves(MoE),Department of Communication Science and Engineering,Fudan University,Shanghai 200433,China
Témata:
block-diagonal
gradient descent
hybrid precoding
Interference
iterative optimization
MIMO-OFDM
OFDM
Optimization
Precoding
Radio frequency
Receiving antennas
Symbols
water-filling power allocation
weighted sum-rate maximization
iterative optimization
water-filling power allocation
multi-user
MIMO-OFDM
hy-brid precoding
block-diagonal
weighted sum-rate maximization
gradient descent
ISSN:1673-5447
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Popis
Shrnutí:This paper studies large-scale multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) communications in a broadband frequency-selective channel, where a massive MIMO base station (BS) communicates with multiple users equipped with multi-antenna. We develop a hybrid precoding design to maximize the weighted sum-rate (WSR) of the users by optimizing the digital and the analog precoders alternately. For the digital part, we employ block-diagonalization to eliminate inter-user interference and apply water-filling power allocation to maximize the WSR. For the analog part, the optimization of the PSN is formulated as an unconstrained problem, which can be efficiently solved by a gradient descent method. Numerical results show that the proposed block-diagonal hybrid precoding algorithm can outperform the existing works.
ISSN:1673-5447
DOI:10.23919/JCC.ja.2022-0117