Distributed power control algorithm for cognitive radio networks based on geometric programming

作者：Chen Lingling^*; Zhao Xiaohui

来源：Journal of Information and Computational Science, 2014, 11(13): 4747-4757.

DOI：10.12733/jics20104997

• Cognitive radio network
• Distributed power control
• Distributed power control algorithms
• Geometric programming

In order to improve spectrum efficiency in Cognitive Radio Networks (CRNs), a standard distributed optimal power control strategy with high Signal to Interference Plus Noise Ratio (SINR) based on maximization of data rate for each Second User (SU) under two constraints (maximum transmit power of each SU at all subcarriers and maximum tolerated interference power for Primary Users (PUs) at each subcarrier) is proposed in Orthogonal Frequency-division Multiplexing (OFDM) framework. Considering nonconvexity of our objective function, Geometric Programming (GP) is introduced to transform it into a convex optimization problem. Using Lagrange relaxation of the coupling constraints method and subgradient iterative algorithm in a distributed way, this dual problem is solved. To enhance the Quality of Service (QoS) requirements for SUs at each subcarrier, an improved algorithm is also presented. Numerical simulation results show that both the standard algorithm and the improved algorithm are all superior to the traditional IWFA in data rate of each SU, convergence speed, and computational complexity.

• 出版日期2014