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On-line Access: 2024-12-20

Received: 2024-05-09

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Frontiers of Information Technology & Electronic Engineering 

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Hybrid near-field and far-field three-stage beam training with beamsplit for RIS-assistedOFDMcommunications


Author(s):  Zhichao CHENG, Shupei ZHANG, Shu FU, Boya DI

Affiliation(s):  School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China ;State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics,; more

Corresponding email(s):  chengzhichao@stu.pku.edu.cn, zhangshupei@pku.edu.cn, shufu@cqu.edu.cn, diboya@pku.edu.cn

Key Words:  Near-far field; Beam split; Codebook design; Beam training; Reconfigurable intelligent surfaces


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Zhichao CHENG, Shupei ZHANG, Shu FU, Boya DI. Hybrid near-field and far-field three-stage beam training with beamsplit for RIS-assistedOFDMcommunications[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2400372

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Abstract: 
With the development of millimeter-wave (mmWave) communication systems, large-scale reconfigurable intelligent surfaces (RISs) have gained considerable attention as a promising technology for signal strength enhancement and coverage extension. However, as the antenna scale and bandwidth increase, RIS-assisted wideband orthogonal frequency division multiplexing (OFDM) communication systems face challenges due to the near-field range expansion and the beam split effect over the high-frequency band, complicating the acquisition of channel state information (CSI). To tackle these challenges, in this paper, we present a codebook-based three-stage beam training scheme by utilizing the beam split effect to bypass CSI estimation. Specifically, by analyzing the beam split effect in RIS-assisted OFDM communication systems, we propose a beam-split-aware codebook capable of covering both the near and far fields with fewer codewords compared to conventional narrow-band codebooks. Using such a codebook, a three-stage beam training mechanism is performed to obtain the optimal codeword with low time overhead, thereby facilitating subsequent beamforming. Simulation results demonstrate that the proposed scheme outperforms existing near- and far-field codebook-based schemes in terms of the beam training resolution and sum rate in the hybrid near-far field.

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