Analysis of Cognitive Radio Networks with Channel Aggregation and Imperfect Sensing

This paper considers a cognitive radio network where the cognitive user has a constant bandwidth which is K times that of a primary user. The primary system consists of constant M primary channels and the cognitive system consists of N = [M/K] channels, where [x] is the largest integer not greater than x. The effects of imperfect spectrum sensing (with false alarms and misdetections) are analyzed using a Markov chain. Explicit expressions for state dependent transition rates are derived for the case M = 6 and K = 2, and the system performance is evaluated in terms of throughput, blocking probability, and forced termination probability.