A Cross-Layer Aware Sensing-Throughput Tradeoff for Multi-Channel Cognitive Radio Networks

In multi-channel cognitive radio networks, it is important to investigate the sensing-throughput tradeoff from cross-layer perspective. Jointly considering imperfect spectrum sensing in physical layer and multi-channel access contention in MAC layer, we reformulate this tradeoff via taking the interference probability, rather than the detection probability, as the optimization constraint. And we further obtain the optimal sensing duration and detection threshold depending on the number of available channels to maximize the secondary throughput under the interference probability constraint. Numerical results show that the proposed cross-layer method can improve the secondary throughput performance significantly.