Throughput Analysis and Optimization of Sensing-Based Cognitive Radio Systems With Markovian Traffic

Abstract

This paper analyzes the secondary user throughput of a sensing-based cognitive radio system with Markovian traffic. Under the Markovian traffic assumption, imperfect packet capture, which occurs upon the random arrival of primary user packets, considerably affects the secondary user throughput. Considering both the primary user packet capture and energy detection of the captured packet, we derive the secondary user throughput. Additionally, using the tradeoff between the sensing accuracy and the secondary user throughput, we solve a joint optimization dealing with both the sensing duration and the sensing period to maximize the secondary user throughput with an interference constraint for the primary user.