Power Minimization for Cognitive Relay Networks with Interference-Based Strategy

For the cognitive relay networks, an optimal power allocation algorithm is proposed to minimize the total power consumption, under the promise for the anti-interference performance of the primary subsystem and throughput constraints of the secondary subsystem. An interference-based strategy is presented to use different power allocation methods according to the interferences created by the secondary subsystem to the primary subsystem, comparing with the location-aware strategy in which the channel conditions are considered only with the location information. A kind of computing algorithm joint the subgradient and Newton's methods is also given to resolve the complex optimization problem. The numerical results demonstrate the strength of our proposed schemes.