Work

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

Year: 2025

Type: article

Abstract: Improving the energy efficiency of information transmission is very critical to future Internet of Things' development. Considering the sporadic characteristics for IoT transmissions, energy consumption for individual transmission sessions 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 relaying communication system with Decode and Forward (DF) mode. 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 some numerical examples, we discuss various design tradeoffs in terms of this case. These results will provide some important guidelines for the design of green IoT communication systems.

Source: Digital Communications and Networks

DOI: 10.1016/j.dcan.2025.06.012

Authors: Fang Xu, Yuanchen Wang, Xinyu Zhang, Yiyuan Xie, Ramy Samy

Institutions: Southwest University, Xi'an Jiaotong University

Language: English

Topic: Energy Harvesting in Wireless Networks

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $800