Throughput maximization of spectrum sharing cognitive radio networks

Abstract

Cognitive Radio technology helps in designing wireless system for efficient deployment of radio spectrum with its sensing technique,self adaptation and spectrum sharing. Spectrum sharing is an effective method of alleviating the scarcity of radio spectrum problem by allowing unlicensed users (secondary users) to coexist with licensed users (primary users) under the condition of protecting the later from harmful interference. This dissertation work emphasizes on the throughput maximization of spectrum sharing cognitive radio networks. It proposes an innovative spectrum sharing technique that will significantly improve achievable throughput of the network. This work introduces novel receiver and a frame structure for spectrum sharing. The problem of optimal power allocation that maximizes the ergodic capacity of the system under average transmits and interference power constraints are also studied.

Keywords: Cognitive radio, Ergodic capacity, Optimal power allocation, Spectrum sensing, Spectrum sharing, Throughput maximization.