{"title":"Statistical energy consumption analysis and optimization for relaying transmission with wireless power transfer","authors":"Fang Xu , Yuanchen Wang , Xinyu Zhang , Yiyuan Xie , Ramy Samy","doi":"10.1016/j.dcan.2025.06.012","DOIUrl":null,"url":null,"abstract":"<div><div>Improving the energy efficiency of information transmission is very critical to the development of future Internet of Things (IoT). Considering the sporadic characteristics for IoT transmissions, the energy consumption of a specific transmission session significantly varies with channel condition and Quality of Service (QoS) requirements. In this study, we focus on the analysis and optimization for wireless relaying communications' statistical energy consumption. Particularly, we investigate a wirelessly-powered DF relaying communication system. Under Time Switching (TS) and Power Splitting (PS) modes, we analyze and minimize the statistical energy consumption of transmitting a fixed amount of data using mathematical analysis. Through showing some selected numerical examples, we discuss various design tradeoffs. These results will provide some important guidelines for the design of green IoT communication systems.</div></div>","PeriodicalId":48631,"journal":{"name":"Digital Communications and Networks","volume":"12 4","pages":"Pages 677-685"},"PeriodicalIF":6.3000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digital Communications and Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352864825001117","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Improving the energy efficiency of information transmission is very critical to the development of future Internet of Things (IoT). Considering the sporadic characteristics for IoT transmissions, the energy consumption of a specific transmission session significantly varies with channel condition and Quality of Service (QoS) requirements. In this study, we focus on the analysis and optimization for wireless relaying communications' statistical energy consumption. Particularly, we investigate a wirelessly-powered DF relaying communication system. Under Time Switching (TS) and Power Splitting (PS) modes, we analyze and minimize the statistical energy consumption of transmitting a fixed amount of data using mathematical analysis. Through showing some selected numerical examples, we discuss various design tradeoffs. These results will provide some important guidelines for the design of green IoT communication systems.
期刊介绍:
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