Optimal Max-Min Fairness Energy-Harvesting Resource Allocation in Wideband Cognitive Radio Network

摘要

Wideband sensing-based cognitive radio with simultaneous wireless information and power transfer can be designed for efficient spectrum and energy usage. We investigate maxmin fairness energy-harvesting optimization problem in such a system by taking into account of the individual link fairness. In particular, we maximize the energy harvested by the worstcase link when the problem is subject to the rate requirements, transmit power constraint, interference power constraint and subchannels assignment constraint. Due to the nonconvexity of the formulated problem, we relax the integer variable and introduce an auxillery variable. The Lagrangian and subgradient methods are adopted to obtain a suboptimal solution. Simulation results are presented to verify the fairness performance of the proposed algorithm, and to reveal a new tradeoff between the network harvested energy and link fairness.