Collaborative Strategy for Route and Spectrum Selection in Cognitive Radio Networks

This paper studies collaborative strategy for route and spectrum selection in decentralized wireless cognitive radio network. We explore the problem from two aspects: the spectrum stability and the path stability, which we use stochastic processes and probability theory to analyze. Furthermore, we also design a method that measures the interference to licensed users. Under this measurement method, path selection criteria is explored. Theoretical analysis shows our criterion considering interference is better than random selection. The numerical results are in accord with the theoretical analysis.