Reconfigurable intelligent surfaces with hybrid wind, solar and RF energy harvesting

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Ad Hoc and Ubiquitous Computing Pub Date : 2023-01-01 DOI:10.1504/ijahuc.2023.134597
Raed I. Alhamad
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Abstract

This paper derives the throughput of wireless communications using reconfigurable intelligent surfaces (RIS) when the source harvests power from wind, radio frequency (RF) signals and the sun. The harvested power from wind is proportional to the power of three of wind speed and depends also on rotor radius r and air density. The harvested power from RF signals is proportional to the squared absolute value of channel coefficient. The harvested power from the sun uses a photo voltaic (PV) system and is proportional to radiation intensity. The radiation intensity is Gaussian and takes into account weather effects such as cloud occlusion. We show that hybrid energy harvesting using both the wind, RF signal, and solar energy offers the largest throughput.
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可重构智能表面与混合风能,太阳能和射频能量收集
本文利用可重构智能表面(RIS)从风能、射频(RF)信号和太阳能中获取能量,推导出无线通信的吞吐量。从风中获得的能量与风速的三次方成正比,还取决于转子半径r和空气密度。从射频信号中获得的功率与信道系数的平方绝对值成正比。从太阳收集的能量使用光伏(PV)系统,与辐射强度成正比。辐射强度是高斯的,并考虑了天气影响,如云层遮挡。我们表明,使用风能、射频信号和太阳能的混合能量收集提供了最大的吞吐量。
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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
69
审稿时长
7 months
期刊介绍: IJAHUC publishes papers that address networking or computing problems in the context of mobile and wireless ad hoc networks, wireless sensor networks, ad hoc computing systems, and ubiquitous computing systems.
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