Y. Fang
Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system
Fang, Y.; Chen, L.; Chen, Y.; Yin, H.; Wei, G.
Authors
L. Chen
Dr Yunfei Chen yunfei.chen@durham.ac.uk
Professor
Haoran Yin haoran.yin@durham.ac.uk
PGR Student Doctor of Philosophy
Gwen Wei guanzhu.wei@durham.ac.uk
PGR Student Doctor of Philosophy
Abstract
Efficient implementation of Tomlinson-Harashima precoding (THP) is crucial in massive multiple-input-multiple-output (MIMO) systems with a large number of antennas at the base station (BS) serving many user equipments (UEs). To address the high computational complexity of THP, in this paper, we first propose novel THP update algorithms that can avoid recomputing the THP filters when a new UE arrives or departs. Specifically, by using the Gram-Schmidt process and a series of Givens matrices, the THP filters are computed without full matrix operations. Then we extend the THP update algorithms to a more general scenario when multiple multi-antenna UEs arrive or depart. In this case, the proposed algorithms use both direct and iterative approaches. Moreover, the computational complexity of the proposed algorithms is derived and compared with that of the conventional THP. Finally, to further align with the practical scenario, we analyze and derive the approximate close-form expressions for the sum achievable rate of the proposed algorithms under imperfect channel state information (CSI). Simulation results are provided to illustrate the effectiveness of the proposed algorithms. The impact of quasi-static fading and slow time-varying scenarios with imperfect CSI on the communication performance of the proposed algorithms is also evaluated.
Citation
Fang, Y., Chen, L., Chen, Y., Yin, H., & Wei, G. (2024). Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system. IEEE Transactions on Communications, 72(4), 2063-2078. https://doi.org/10.1109/TCOMM.2023.3345419
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 17, 2023 |
Online Publication Date | Dec 21, 2023 |
Publication Date | 2024-04 |
Deposit Date | Dec 18, 2023 |
Publicly Available Date | Jan 3, 2024 |
Journal | IEEE Transactions on Communications |
Print ISSN | 0090-6778 |
Electronic ISSN | 1558-0857 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 72 |
Issue | 4 |
Pages | 2063-2078 |
DOI | https://doi.org/10.1109/TCOMM.2023.3345419 |
Public URL | https://durham-repository.worktribe.com/output/2046900 |
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Copyright Statement
This accepted manuscript is licensed under the Creative Commons Attribution 4.0 licence. https://creativecommons.org/licenses/by/4.0/
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