A novel strategy for cognitive radio networks with diversity and non-identical fading channels

This paper presents a novel approach for a relay-based cognitive radio (CR) networks with diversity and nonidentical Nakagami-m fading channels. Using a detect-amplify-and-forward (DAF) strategy, the approach aims to combat channel fading while mitigates the problem of bandwidth requirements of the well known amplify-and-forward (AF) strategy. We also introduce a statistical approach to derive new closed-form expressions for average detection probability and average false alarm probability. The study clearly reveals that DAF strategy outperforms AF strategy in all suggested scenarios. The study shows that with DAF strategy, refraining the heavily faded relays improves the detection accuracy while reducing the bandwidth requirement of the relaying links.