A trade-off Scheme between Significance and Fairness of Sensors Based on Simultaneous Information and Power Transfer WBAN

Abstract

In this paper, we focus on a trade-off strategy between significance and fairness of sensors in a wireless body area network (WBAN). Due to different types and functions of sensors, it makes sense to classify sensors according to significance and fairness in WBAN, and we can get better performance of the entire communication system with the balance between significance and fairness of sensors. Based on a multi-input multi-output (MIMO) system, which contains an access point (AP) with multi-antenna and many sensors placed on a human body, the two classification methods for significance and fairness are combined with the model, and we propose a trade-off scheme by maximizing the sum-throughput. In this paper, simultaneous information and power transfer (SWIPT) model is considered. We divide the protocol into energy transfer phase and information transfer phase. Maximal ratio transmission (MRT) and zero-forcing (ZF) technology are applied to the two parts respectively. In order to ensure the reliability of information without harming human health, we use the transmit power and signal to interference plus noise ratio (SINR) threshold as constraints, and jointly optimize the time and power allocation to achieve the total throughput maximization. Finally, simulation results demonstrate the reliability of the optimal trade-off scheme.