Hybrid Block Diagonalization Precoding for Multi-User Weighted Sum-Rate Maximization
CHINA COMMUNICATIONS(2024)
Abstract
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.
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Key words
block-diagonal,gradient descent,hy- brid precoding,iterative optimization,MIMO-OFDM,multi-user,water-filling power allocation,weighted sum-rate maximization
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