Wideband Beamforming for RIS Assisted Near-Field Communications

被引:4
作者
Wang, Ji [1 ]
Xiao, Jian [1 ]
Zou, Yixuan [2 ]
Xie, Wenwu [3 ]
Liu, Yuanwei [4 ]
机构
[1] Cent China Normal Univ, Coll Phys Sci & Technol, Dept Elect & Informat Engn, Wuhan 430079, Peoples R China
[2] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[3] Hunan Inst Sci & Technol, Sch Informat Sci & Engn, Yueyang 414006, Peoples R China
[4] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Deep learning; near-field communications; reconfigurable intelligent surface; wideband beamforming; RECONFIGURABLE INTELLIGENT SURFACES; CHANNEL ESTIMATION; BEAM SQUINT;
D O I
10.1109/TWC.2024.3447570
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A near-field wideband beamforming scheme is investigated for reconfigurable intelligent surface (RIS) assisted multiple-input multiple-output (MIMO) systems, in which a deep learning-based end-to-end (E2E) optimization framework is proposed to maximize the system spectral efficiency. To deal with the near-field double beam split effect, the base station is equipped with frequency-dependent hybrid precoding architecture by introducing sub-connected true time delay (TTD) units, while two specific RIS architectures, namely true time delay-based RIS (TTD-RIS) and virtual subarray-based RIS (SA-RIS), are exploited to realize the frequency-dependent passive beamforming at the RIS. Furthermore, the efficient E2E beamforming models without explicit channel state information are proposed, which jointly exploits the uplink channel training module and the downlink wideband beamforming module. In the proposed network architecture of the E2E models, the classical communication signal processing methods, i.e., polarized filtering and sparsity transform, are leveraged to develop a signal-guided beamforming network. Numerical results show that the proposed E2E models have superior beamforming performance and robustness to conventional beamforming benchmarks. Furthermore, the tradeoff between the beamforming gain and the hardware complexity is investigated for different frequency-dependent RIS architectures, in which the TTD-RIS can achieve better spectral efficiency than the SA-RIS while requiring additional energy consumption and hardware cost.
引用
收藏
页码:16836 / 16851
页数:16
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