{"title":"无线网络中射频能量收集的统计分析","authors":"Ala Abu Alkheir, I. Al-Anbagi, Hussein T. Mouftah","doi":"10.1109/ICUWB.2015.7324412","DOIUrl":null,"url":null,"abstract":"The ability of wireless terminals to harvest energy from Radio Frequency (RF) signals is gaining tremendous momentum as a mean to prolong the lifetime of these terminals and to recycle the radiated energy. This article gives a much needed statistical analysis for the amount of harvested energy over a period of time T. By studying the input/output characteristics of a typical harvesting circuit, we show that i) the amount of harvested energy over a period of T seconds, denoted by ψ<sub>out</sub>, is a stochastic process, and ii) that it can be written as a scaled version of the amount of incoming energy, ψ<sub>in</sub>, over the same period of time, i.e., ψ<sub>out</sub> = ε̂ψ<sub>in</sub>, where ε̂ ∈ [0, 1] is the harvesting efficiency. We also unveil the dependence of ψ<sub>out</sub> on the sensitivity of the harvesting circuit which is captured using a Signal to Noise Ratio (SNR) threshold, γ<sub>th</sub>.","PeriodicalId":339208,"journal":{"name":"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)","volume":"82 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A Statistical Analysis of RF-Energy Harvesting in Wireless Networks\",\"authors\":\"Ala Abu Alkheir, I. Al-Anbagi, Hussein T. Mouftah\",\"doi\":\"10.1109/ICUWB.2015.7324412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The ability of wireless terminals to harvest energy from Radio Frequency (RF) signals is gaining tremendous momentum as a mean to prolong the lifetime of these terminals and to recycle the radiated energy. This article gives a much needed statistical analysis for the amount of harvested energy over a period of time T. By studying the input/output characteristics of a typical harvesting circuit, we show that i) the amount of harvested energy over a period of T seconds, denoted by ψ<sub>out</sub>, is a stochastic process, and ii) that it can be written as a scaled version of the amount of incoming energy, ψ<sub>in</sub>, over the same period of time, i.e., ψ<sub>out</sub> = ε̂ψ<sub>in</sub>, where ε̂ ∈ [0, 1] is the harvesting efficiency. We also unveil the dependence of ψ<sub>out</sub> on the sensitivity of the harvesting circuit which is captured using a Signal to Noise Ratio (SNR) threshold, γ<sub>th</sub>.\",\"PeriodicalId\":339208,\"journal\":{\"name\":\"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)\",\"volume\":\"82 8\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUWB.2015.7324412\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUWB.2015.7324412","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Statistical Analysis of RF-Energy Harvesting in Wireless Networks
The ability of wireless terminals to harvest energy from Radio Frequency (RF) signals is gaining tremendous momentum as a mean to prolong the lifetime of these terminals and to recycle the radiated energy. This article gives a much needed statistical analysis for the amount of harvested energy over a period of time T. By studying the input/output characteristics of a typical harvesting circuit, we show that i) the amount of harvested energy over a period of T seconds, denoted by ψout, is a stochastic process, and ii) that it can be written as a scaled version of the amount of incoming energy, ψin, over the same period of time, i.e., ψout = ε̂ψin, where ε̂ ∈ [0, 1] is the harvesting efficiency. We also unveil the dependence of ψout on the sensitivity of the harvesting circuit which is captured using a Signal to Noise Ratio (SNR) threshold, γth.