Design and performance evaluation of a Distributed algorithm for heterogeneous multichannel CRNs

In this paper, a sequential channel sensing algorithm for multichannel heterogeneous Cognitive Radio Networks (CRNs) is studied. More specifically, a new transmission algorithm is introduced and its performance is evaluated via simulations. In the proposed algorithm, referred to as “Distributed algorithm”, we assume that the secondary users select their transmission channels without coordination by a centralized entity. In evaluating the performance of the proposed algorithm, we considered the likelihood of false alarm and missed detection. Our event-driven simulations results have shown that the new transmission algorithm we have introduced improve the average secondary Mbits transmitted in each time slot, which are considerably higher than the corresponding results of (i) the “γ-persistent strategy” introduced in [7] and (ii) the p-persistent random access sequential channel sensing algorithm (PPRA) for multichannel CRNs introduced in [11].