Finite-State Markov Fading Channel Based Dynamic Spectrum Access in Cognitive Radio Networks

摘要

In this paper, we propose a finite-state markov fading channel (FMFC) model to investigate the dynamic spectrum access in fading channel cognitive radio networks. Most existing work failed to take the channel fading into consideration. Based on the important characteristic of fading for wireless channel, we consider both the idle probability of the primary user and the capacity of channel which is related to the channel fading. To obtain the better performance and acceptable complexity, we design an expected channel capacity based dynamic spectrum access strategy. Simulation results verify the improvement on throughput of the proposed approach.