Analysis of Spectrum Access Strategy with Multiple Cross-Layer Considerations in Cognitive Radio Networks

Abstract

In the multi-channel cognitive radio network, we build an M/M/1/K packet delay queueing model integrating multiple cross-layer considerations for secondary users. To minimize the total average packet delay, the optimal probability vector for spectrum access is determined by genetic algorithm. Furthermore, the total average packet loss rate is derived with another consideration that the limited tolerable retransmission attempt for ARQ. Numerical result proves that our proposed spectrum access strategy outperforms the strategies of random, equal probability and inverse proportion. Finally, under the proposed spectrum access strategy, the influences of related cross-layer parameters on average packet delay and packet loss rate are illustrated.