无线
背景(考古学)
最大功率转移定理
计算机科学
波束赋形
钥匙(锁)
信息传递
能量收集
能量(信号处理)
电信
功率(物理)
计算机安全
量子力学
生物
统计
物理
古生物学
数学
作者
Constantinos Psomas,Minglei You,Kai Liang,Gan Zheng,Ioannis Krikidis
出处
期刊:Proceedings of the IEEE
[Institute of Electrical and Electronics Engineers]
日期:2021-12-02
卷期号:110 (1): 107-126
被引量:12
标识
DOI:10.1109/jproc.2021.3130084
摘要
Simultaneous wireless information and power transfer (SWIPT) has long been proposed as a key solution for charging and communicating with low-cost and low-power devices. However, the employment of radio frequency (RF) signals for information/power transfer needs to comply with international health and safety regulations. In this article, we provide a complete framework for the design and analysis of far-field SWIPT under safety constraints. In particular, we deal with two RF exposure regulations, namely, the specific absorption rate (SAR) and the maximum permissible exposure (MPE). The state of the art regarding SAR and MPE is outlined together with a description as to how these can be modeled in the context of communication networks. We propose a deep learning approach for the design of robust beamforming subject to specific information, energy harvesting, and SAR constraints. Furthermore, we present a thorough analytical study for the performance of large-scale SWIPT systems, in terms of information and energy coverage under MPE constraints. This work provides insights with regards to the optimal SWIPT design and the potentials from the proper development of SWIPT systems under health and safety restrictions.
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