Simultaneous Wireless Information and Power Transfer in Near-Field Communications

被引:1
|
作者
Zhang, Zheng [1 ]
Liu, Yuanwei [2 ]
Wang, Zhaolin [2 ]
Mu, Xidong [2 ]
Chen, Jian [1 ]
机构
[1] Xidian Univ, Sch Telecommun Engn, Xian 710071, Peoples R China
[2] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 16期
基金
中国国家自然科学基金;
关键词
Radio frequency; Simultaneous wireless information and power transfer; Internet of Things; Baseband; Array signal processing; Antennas; Vectors; Beamforming; near-field communications; semidefinite relaxation (SDR); simultaneous wireless information and power transfer (SWIPT); DESIGN;
D O I
10.1109/JIOT.2024.3402556
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A near-field simultaneous wireless information and power transfer (SWIPT) network is investigated, where the hybrid beamforming architecture is employed at the base station (BS) for information transmission while charging the energy harvesting users. A transmit power minimization problem is formulated by jointly optimizing the analog beamformer, the baseband digital information/energy beamformers, and the number of dedicated energy beams. To tackle the uncertain number of dedicated energy beams, a semidefinite relaxation-based rank-one solution construction method is proposed to obtain the optimal baseband digital beamformers under the fixed analog precoder. Based on the structure of the optimal baseband digital beamformers, it is proved that no dedicated energy beam is required in the near-field SWIPT. To further exploit this insight, a penalty-based two-layer (PTL) algorithm is proposed to optimize the analog beamformer and baseband digital information beamformers. By employing the block coordinate descent method, the optimal analog beamformer, and baseband digital information beamformers are obtained in the closed-form expressions. Moreover, to reduce the high computational complexity caused by the large number of antennas, a low-complexity two-stage algorithm is proposed. Numerical results illustrate that: 1) the proposed PTL algorithm can achieve near-optimal performance and 2) in contrast to the far-field SWIPT, a single near-field beamformer can focus the energy on multiple locations.
引用
收藏
页码:27760 / 27774
页数:15
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