Optimal Power Splitting for Simultaneous Wireless Information and Power Transfer in Millimeter-wave Networks

摘要

Simultaneous wireless information and power transfer (SWIPT)-enabled millimeter-wave (mmWave) network is one of the most effective solutions to solve the problem of high power consumption at wireless devices caused by high data rate applications. In this paper, we propose a SWIPT-enabled mmWave network and investigate the influence of mmWave propagation features on rate-energy (R-E) tradeoff of SWIPT system. In addition, an optimal power splitting (PS) policy is proposed to minimize the duration until battery exhausting, communication interruption and information loss occur. Finally, the proposed PS policy is modeled by Markov decision process (MDP) problem and realized by reinforcement learning (RL) algorithm. Simulation results show that the proposed RL-based PS policy can achieve higher battery energy level and stable data rate which can keep a good QoS of the whole SWIPT-enabled mmWave network.