Interference Avoidance Throughput Optimization in Cognitive Radio Ad Hoc Networks
The development of a method to ensure interference free transmission with various system constraints to achieve maximum secondary network capacity in an underlay Cognitive Radio (CR) network is still a challenging issue. Due to the lack of explicit support from the primary system, CR sensing algorithms often face difficulties in reliably estimating the primary signals. This problem becomes even worse when the Primary User (PU) is a pure receiver. In this paper, the authors propose a distributed neighbor-coordinated adaptive power control estimation mechanism to guarantee a reliable protection for PUs. With reliable transmission power control for the secondary transmitter, the power allocation problem of the CR system is modeled into a constrained Lagrange multipliers optimization problem to guarantee reliable sum rate maximization.