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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| Veröffentlicht in: | China communications Jg. 21; H. 8; S. 127 - 141 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
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 |
| Schlagworte: | |
| ISSN: | 1673-5447 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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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| ISSN: | 1673-5447 |
| DOI: | 10.23919/JCC.ja.2022-0117 |