Statistical Energy Consumption Analysis and Optimization for Relaying Transmission with Wireless Power Transfer in IoT

Reliable and energy-efficient wireless transmission is very important for the future success of Internet of Thing (IoT). Due to the sporadic nature of IoT transmissions, the energy consumption for individual transmission session varies dramatically with channel condition as well as the quality of service (QoS) requirements. In this article, we analyze and optimize the statistical energy consumption for wireless relaying communications in IoT. Particularly, we consider a dual-hop communication system with a wirelessly-powered decode-and-forward (DF) relay. In terms of time switching (TS) and power splitting (PS) modes, we analyze and minimize the statistical energy consumption for transmitting a certain amount of data. Through selected numerical results, we illustrate various design tradeoffs between statistical energy consumption, data rate, and latency. These results will provide some important guidelines for green IoT communications.