Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems

Ruoxiao Cao1,2; Wentao Yu1; Hengtao He1; Xianghao Yu3; Shenghui Song1; Jun Zhang1; Yi Gong2; Khaled B. Letaief1

10.1109/WCNC57260.2024.10570624

2024-04-24

1525-3511

979-8-3503-0359-9

2024 IEEE Wireless Communications and Networking Conference (WCNC)

21-24 April 2024

Dubai, United Arab Emirates

To meet the stringent requirements of future communication systems, ultra-massive multiple-input and multiple-output (UM-MIMO) technology has garnered significant attention as a key enabling technology for 6G. However, the deployment of UM-MIMO introduces new challenges, particularly the near-field effect. In this paper, by leveraging the unique characteristics of near-field channels, we propose a novel near-field channel estimation algorithm based on the Newton's method. We also design a near-field codebook that meets the requirements for convergence guarantee. Our algorithm overcomes the limitations of existing approaches by offering a low-complexity, tuning-free, and convergence-guaranteed solution. Simulation results show that our proposed algorithm outperforms state-of-the-art baselines in terms of estimation accuracy, establishing its effectiveness in near-field channel estimation for UM-MIMO systems.

其他

EI

1.Dept. of ECE, The Hong Kong University of Science and Technology, Kowloon, Hong Kong
2.Dept. of EEE, Southern University of Science and Technology, Shenzhen, China
3.Dept. of EE, City University of Hong Kong, Kowloon, Hong Kong

Ruoxiao Cao,Wentao Yu,Hengtao He,et al. Newtonized Near-Field Channel Estimation for Ultra-Massive MIMO Systems[C],2024.