Frame size selection in CSMA-based cognitive radio wireless local area networks

The performance of cognitive radio-based wireless local area networks (WLANs) is affected by channel conditions, the contention processes of unlicensed/secondary users (SUs) and collisions between SUs and licensed/primary users (PUs). Given these effects, it is feasible to adjust the frame size to maximise goodput. Existing frame size adjustment mechanisms for WLANs are based on the assumption that optimal frame size depends on either the channel conditions or the contention among nodes. These approaches do not consider the collisions between SUs and PUs. Thus, they lead to suboptimal solutions and cannot be directly applied to cognitive radio-based WLANs. In this paper, an analytical model to determine the optimal frame size for carrier sense multiple access/collision avoidance-based cognitive radio networks based on the probability of frame error, the probability of collisions among SUs and the probability of collision between SUs and PUs is proposed. Numerical and simulation results indicate that selecting the optimal frame size significantly improves goodput. Copyright © 2014 John Wiley & Sons, Ltd.

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