Statistical energy consumption analysis and optimization for relaying transmission with wireless power transfer✩

Fang Xu; Yuanchen Wang; Xinyu Zhang; Yiyuan Xie; Ramy Samy

doi:10.1016/j.dcan.2025.06.012

›› 2026, Vol. 12 ›› Issue (4) :677 -685. DOI: 10.1016/j.dcan.2025.06.012

Research Article

research-article

Statistical energy consumption analysis and optimization for relaying transmission with wireless power transfer^✩

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^a College of Electronic and Information Engineering, Southwest University , Chongqing, China

^b School of Cyber Science and Engineering, Xi’an Jiaotong University , Xi’an, China

^c Space Technology Center , Cairo, Egypt

^* E-mail addresses: yuanchen.wang@xjtu.edu.cn (Y. Wang),

yyxie@swu.edu.cn (Y. Xie).

Fang Xu (Member, IEEE) received the Ph.D. degree in electrical and computer engineering from the University of Victoria, Victoria, BC, Canada, in 2022. From January to August 2023, he was a faculty member (Assistant Professor and Associate Researcher) with the Chengdu University of Technology, Chengdu, China. He is currently a faculty member with Southwest University, Chongqing, China. His current research interests include artificial intelligence, wireless communications, satellite communication, and millimeter wave radar systems.

Yuanchen Wang (Member, IEEE) received the Ph.D. degree in electrical and computer engineering from the Department of Electrical Engineering and Electronics, the University of Liverpool, Liverpool, U.K., in 2022. In 2023, he joined the School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China, where he is currently a Postdoc. His current research interest includes wireless communication, satellite communication, and artificial intelligence.

Xinyu Zhang is pursuing the master degree in Southwest University. Her research interests includes Radar System, Millimeterwave antenna design.

Ramy Samy (Member, IEEE) received the B.Sc. and M.Sc. degrees in electrical engineering from the Avionics Department, Military Technical College, Cairo, Egypt, in 2008 and 2018, respectively. He is currently working toward the Ph.D. degree in electrical engineering with the University of Victoria, Victoria, BC, Canada. He was with the Egyptian Space Technology Center for 12 years. He participated as a System Engineer in many satellite programs, with the main focus on the communication payload. His research interests include the design and analysis of high-throughput satellite communication systems, hybrid FSO/RF communication systems, space-air-ground integrated networks, and cooperative communications.

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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.

Keywords

Internet of Things / Wireless power transfer / Relay communication / Statistical energy consumption / Mathematical analysis

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Fang Xu, Yuanchen Wang, Xinyu Zhang, Yiyuan Xie, Ramy Samy. Statistical energy consumption analysis and optimization for relaying transmission with wireless power transfer^✩. , 2026, 12 (4) : 677-685 DOI:10.1016/j.dcan.2025.06.012

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CRediT authorship contribution statement

Fang Xu: Investigation. Yuanchen Wang: Investigation. Xinyu Zhang: Investigation. Yiyuan Xie: Investigation. Ramy Samy: Investigation.

Declaration of competing interest

We have no conflict of interest.

Acknowledgement

This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFB3104500, in part by the China Postdoctoral Science Foundation under Grants 2023M732835, in part by the Qinchuangyuan Innovation and Entrepreneurship Talent Project of Shaanxi under Grant QCYRCXM-2023-172, and in part by the National Natural Science Foundation of China under Grant 62471382.

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