Sensing Time and Power Allocation Optimization in Wideband Cognitive Radio Networks

In this paper, we study the problem of designing the optimal sensing time and power allocation strategy, in order to maximize the ergodic throughput of a cognitive radio that employs simultaneous multiband spectrum sensing and operates under: (i) the wideband sensing-based spectrum sharing (WSSS) scheme and (ii) the wideband opportunistic spectrum access (WOSA) scheme. In our analysis, we consider both average transmit and interference power constraints for the two schemes, so that to effectively protect the primary users from harmful interference, propose an algorithm that acquires the optimal sensing time and power allocation strategy under imperfect spectrum sensing and discuss the effect of the average transmit and interference power constraints on the optimal sensing time. Finally, simulation results are provided, in order to compare the two schemes and validate our theoretical analysis.