CSI Compression Method With Dual Differential Feedback for Next-Generation Wi-Fi Networks

被引:0
作者
Barannikov, Andrey [1 ]
Levitsky, Ilya [1 ]
Loginov, Vyacheslav [1 ]
Khorov, Evgeny [1 ]
机构
[1] Russian Acad Sci, Inst Informat Transmiss Problems, Wireless Networks Lab, Moscow 141171, Russia
基金
俄罗斯科学基金会;
关键词
Wireless fidelity; Array signal processing; Signal to noise ratio; Matrix decomposition; Time-domain analysis; Standards; Frequency-domain analysis; Accuracy; Throughput; Machine learning; CSI compression; MU-MIMO; Wi-Fi; differential feedback;
D O I
10.1109/LWC.2024.3510215
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The multiple-input multiple-output (MIMO) technology improves Wi-Fi throughput by increasing the number of antennas. However, with more antennas and developing coordinated MIMO operations, the amount of channel state information (CSI) increases. As the CSI-induced overhead limits the performance of Wi-Fi networks, this letter proposes a new low-complexity dual differential CSI compression method that significantly reduces this overhead. Experimental and simulation results in diverse scenarios show that the proposed algorithm overcomes state-of-the-art algorithms of similar complexity, reducing the feedback size by up to 40%.
引用
收藏
页码:475 / 478
页数:4
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