Journal of Jilin University Science Edition

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Robust Power Allocation Algorithm in\=Underlay Cognitive Radio Networks

WANG Hongzhi, ZHU Meng, ZHOU Mingyue   

  1. School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2016-11-29 Online:2017-05-26 Published:2017-05-31
  • Contact: ZHOU Mingyue E-mail:zmyjlu@ccut.edu.cn

Abstract: In order to solve the problem of parameter perturbation of power allocation in cognitive radio networks, we proposed a robust power allocation algorithm based on protection factor for cognitive radio. According to the disturbance of the channel parameters in the actual system, the algorithm introduced the protection mechanism of the authorized user’s interference power threshold into robust programming, and then used the Lagrange dual algorithm and convex optimization theory to obtain the optimal power allocation. The algorithm could solve the problem of channel parameter perturbation in the underlay cognitive radio networks. The simulation results show that the proposed algorithm has good robustness, reduces the complexity of the algorithm and improves the system capacity of cognitive radio networks.

Key words: cognitive radio, capacity maximization, resource allocation, robust optimization

CLC Number: 

  • TP393