Multichannel Selection for Cognitive Radio Networks With RF Energy Harvesting

Abstract

A multichannel selection strategy is proposed for RF energy harvesting cognitive radio networks, where multiple channels are available, and each secondary user (SU) harvests RF energy from the channel being occupied by active primary users and transmits data using other idle channels. To maximize the average throughput of SUs which contend for the use of idle channels, the multichannel selection strategy is formulated to a convex optimization problem. Further, we derive an analytical solution to the optimization problem. Numerical results are provided to demonstrate the superior performance of the proposed strategy and verify the analytical solution.