Transmission Optimization and Resource Allocation for Wireless Powered Dense Vehicle Area Network With Energy Recycling

The wireless-powered communication paradigm brings self-sustainability to the on-vehicle sensors by harvesting energy from radiated radio frequency (RF) signals. This paper proposes a novel transmission and resource allocation strategy for scenario where multiple wireless powered vehicle area networks (VAN) co-existed with high density. considered multi-VAN system consists of remote master access point (MAP), hybrid points (HAPs) sensors. Unlike previous works, we consider that can recycle all HAPs when communicate MAP, so dedicated signals (EH) are unnecessary. proposed achieve simultaneous information power transfer (SWIPT) without complex receiver architecture requirements. extra EH interference caused dense distribution VANs, which rarely explored, fully considered. To maximize sum throughput while guaranteeing jointly optimize time allocation, consumption, receive beamforming. Due non-convexity formulated problem, address sub-problems separately through Rayleigh quotient, Frobenius norm minimization convex optimization. Then an efficient iterative algorithm obtain sub-optimal solutions. simulation results discussions illustrate scheme's effectiveness advantages.