Optimal Resource Allocation in Opportunistic Spectrum Access
NI Wei-ming · Radio Engineering · 2011
Opportunistic spectrum access(OSA) in cognitive networks significantly improves spectrum efficiency.We study the problems of channel allocation and power control in OSA.Considering both Overlay mode and Underlay mode,we address the optimization problem of maximizing secondary user throughput.Under the interference temperature constraint,the objective is to maximize the weighted sum rate of the cognitive radio network.Moreover,our approach provides diverse QoS support and the minimum data rate guarantee.The optimization problem can be converted to a maximum weighted bipartite matching problem thus solved by the Hungarian method.Simulation results demonstrate that the hybrid mode approach achieves better spectrum efficiency than single mode.