Rank-optimal channel selection strategy in cognitive networks

摘要

A learning strategy for distributed channel selection in Cognitive Radio networks is proposed. This strategy helps quality of service (QoS) provisioning such that competing secondary users cooperatively converge to their rank-optimal channels while channel availability statistics are initially unknown. By this convergence, collision reaches zero since users eventually work on their own orthogonal channels. The proposed learning strategy, k