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农村地区射频供电物联网的性能评估:无线电力数字鸿沟

Performance Evaluation of RF-powered IoT in Rural Areas: The Wireless Power Digital Divide

Hao Lin, Mustafa A. Kishk, Mohamed-Slim Alouini

arXiv 2607.25817首次发表:更新:

AI 中文总结

研究农村地区射频供电物联网下行链路性能,将农村建模为有限区域,考虑基站和接入点信号源,分析物联网设备能量采集与信号接收情况,通过最小能量需求和信号干扰加噪声比研究总体覆盖概率,得出地区内部设备性能优于边缘及接入点数量与支持设备比例关系等结论。

AI 中文摘要

弥合数字鸿沟是未来移动网络的目标之一,在农村地区进一步构建物联网网络是可行方案。本文研究农村无线网络下行链路性能,所考虑的物联网设备无电池,仅由环境射频信号供电。将农村地区建模为远离市中心的有限区域,城市基站和有限网络中的接入点均为物联网设备的无线射频信号源。假设基站遵循二维高斯密度的非均匀泊松点过程,固定数量的接入点在有限区域内均匀分布遵循二项点过程。物联网设备可在每个时隙采集能量并接收下行信号,时隙分为充电子时隙和传输子时隙。考虑最小能量需求和信号干扰加噪声比两个主要系统要求,研究与之相关的总体覆盖概率。首先研究农村偏远程度对能量采集性能的影响,然后在忽略基站影响时分析物联网设备位置和接入点数量对覆盖概率的影响。结果表明农村地区内部的物联网设备可获得边缘附近设备约两倍的能量采集概率和总体覆盖概率。对于半径小于100米的农村地区平均下行链路性能,部署100个接入点时可支持超80%的射频供电物联网设备。

英文摘要

Bridging the digital divide is one of the goals of mobile networks in the future, and further building IoT networks in rural areas is a feasible solution. This paper studies the downlink performance of rural wireless networks, where IoT devices we consider are battery-less and powered only by ambient radio-frequency (RF) signals. We model a rural area as a finite area that is far from the city center. The base stations (BSs) in the whole city and the access points (APs) in the finite network both act as sources of wireless RF signals harvested by IoT devices. We assume that BSs follow an inhomogeneous Poisson Point Process (PPP) with a 2D-Gaussian density, and a fixed number of APs are uniformly distributed inside the finite area following a Binomial Point Process (BPP). The IoT devices we consider can harvest energy and receive downlink signals in each time slot, which is divided into two parts: (1) a charging sub-slot, where the RF signals from BSs and APs are harvested by IoT devices, and (2) a transmission sub-slot, where each IoT device uses the harvested energy to receive and process downlink signals. We consider two main system requirements: minimum energy requirement and signal-to-interference-plus-noise ratio (SINR). Using these two parameters, we investigate the overall coverage probability (OCP) related to them. We first study the effect of remoteness in rural areas on energy harvesting performance. Then we analyze the influence of IoT device's location and the number of APs on coverage probability when the effect of BSs can be ignored. This paper shows that the IoT devices located inside the rural area can obtain about twice the ECP and OCP of IoT devices located near the edge. For the average downlink performance in rural areas with radii less than 100 m, more than 80% of the RF-powered IoT devices can be supported when there are 100 APs deployed.

Comments14 pages, 11 figures. Published in IEEE Transactions on Green Communications and Networking

Journal refH. Lin, M. A. Kishk and M. -S. Alouini, IEEE Transactions on Green Communications and Networking, vol. 8, no. 2, pp. 716-729, 2024

DOI:10.1109/TGCN.2024.3350787

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