An Optimal Sinsing Algorithm for Multiband Cognitive Radio Network
In cognitive radio networks, the biggest problem preventing optimum performance is the optimal setting of individual decision thresholds while keeping the interference on the primary network bounded to a reasonably low level. In this paper, the multiband spectrum sensing problem is formulated as a class of optimization problem in which the opportunistic aggregate throughput is maximized subject to practical constraints. In order to achieve this, the detection problem is formulated based on the eigen-decomposition technique. Analytic and simulation results have indicated that the system being proposed achieves optimal opportunistic throughput for the secondary users and guarantee an acceptable level of interference to the primary users.