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Hybrid Block Diagonalization Precoding for Multi-User Weighted Sum-Rate Maximization
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DOI：10.23919/JCC.ja.2022-0117.png)
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Abstract
En 中文
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.
Keywords:
block-diagonal
gradient descent
hy- brid precoding
iterative optimization
MIMO-OFDM
multi-user
water-filling power allocation
weighted sum-rate maximization