Adaptive Multi-Channel Spectrum Sensing Throughput Tradeoff

In this paper, the throughput tradeoff in adaptive multi-channel spectrum sensing procedure is studied. Considering the total sensing-transmission time constraint, we design the optimal sampling resource allocation scheme to maximize the throughput of secondary users while keeping a pre-defined overall miss detection probability for each channel. Through the multi-stage exploration of potential holes, the limited sampling budget can be focused on more promising spectrum segment to detect the sparsely located holes. Simulation results show that significant gains in the throughput of the secondary users are achieved through jointly optimizing the resource allocation factor and number of iterations in channel exploration.