Transmission Rate Optimization in Cooperative Location-aware Cognitive Radio Networks

Cooperative localization can compensate weaknesses of traditional localization techniques which do not operate well in harsh environment. However, cooperative localization signals increase the interference power for communication. In this work, we seek to joint localization and transmission power in order to maximize the transmission rate of secondary user under the power budget and primary users' outage constraints. At the same time, we consider the trade-off between localization error and localization interference when formulating the above problem in cooperative localization. The proposed optimization problem is nonconvex and highly coupled, which is challenging to solve. To simplify the problem, we introduce some auxiliary variables to the original optimal problem and apply a algorithm based on concave-convex procedure (CCCP). The simulation results demonstrate the advantages of location-aware network based on cooperative localization.