Near-Field Beam Training with DFT Codebook

Xun Wu1; Changsheng You1; Jiapeng Li1; Yunpu Zhang2; Li Chen3; Kaifeng Han4

10.1109/WCNC57260.2024.10571054

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

Prior works on near-field beam training mostly assume dedicated polar-domain codebooks and on-grid range estimation, however, this may incur large training overhead and deteriorated estimation accuracy. In this paper, we propose a new and efficient beam training scheme with off-grid range esti-mation based on conventional discrete Fourier transform (DFT) codebook, which greatly reduces the beam training overhead. In particular, we first analyze the received beam pattern at the user when far-field beamforming vectors are used for beam scanning, and reveal an interesting result that this beam pattern contains useful user angle and range information. Then, an efficient scheme was proposed to jointly estimate the user angle and range using DFT codebook. This scheme estimates the user angle based on a defined angular support and resolves the user range by leveraging an approximated angular support width. Finally, numerical simulations show that our proposed scheme significantly reduces the near-field beam training overhead and improves the range estimation accuracy compared with various benchmark schemes.

第一

EI

1.Southern University of Science and Technology, Shenzhen, China
2.City University of Hong Hong, Hong Kong, China
3.University of Science and Technology China, Hefei, China
4.China Academy of Information and Communication Technology, Beijing, China

Xun Wu,Changsheng You,Jiapeng Li,et al. Near-Field Beam Training with DFT Codebook[C],2024.