Sensor and Channel Selection for Cooperative Sensing in Multichannel Cognitive Radio Systems
This paper investigates the issue of how to balance the tradeoff between sensing performance and sensing costs/rewards for cooperative sensing in a multichannel cognitive radio system. Two cases of practical interest are studied. In the first case, the number of available sensors is assumed to be sufficient for detecting available frequency channels. For this case, the authors study the problem of selecting appropriate sensors to minimize the cost of detecting all the available channels subject to sensing performance constraints. The problem can be solved by using a branch-and-bound algorithm. In the second case, the number of available sensors is assumed to be insufficient for detecting all the available channels.