Proportional Fairness in Cognitive Wireless Powered Communication Networks

Abstract

In this letter, we consider a cognitive wireless powered communication network (CWPCN), with a secondary wireless powered communication network (WPCN) that has cognitive ability to coexist with a primary communication network. To tackle the unfairness resource allocation issue in CWPCN, we extend proportional fair scheduler to this category of network. By utilizing the time division-based “harvest-then-transmit” protocol, we establish an optimization problem for optimal time slot allocation, which maximizes the bandwidth utility function for proportional fairness, under the constraints of time and interference. To solve this problem, an algorithm is proposed to find a tradeoff between fairness and throughput. Simulation results confirm the positive effect on the promotion of fairness metric.