RF energy harvesting based D2D communication in downlink cellular network with repulsion point process modeling

Abstract

RF energy harvesting and D2D communication have been proposed as potential solutions to provide the energy efficient and spectrum efficient techniques for the wireless networks, respectively. In this paper, the performance of the RF energy harvesting based D2D communication in downlink SWIPT cellular network using the stochastic geometry approach is analyzed. A network model where the RF transmitters are distributed using the Ginibre α-determinantal point process model is proposed and a special case of Poisson point process when repulsion parameter (α) approaches zero is found. The network performance in terms of energy harvesting rate, power outage probability and the transmission outage probability is analyzed. The numerical results show that better performance is obtained when the maximum repulsion is exhibited between the RF energy sources.