吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

下垫式认知无线电网络的鲁棒功率分配算法

王宏志, 朱孟, 周明月   

  1. 长春工业大学 计算机科学与工程学院, 长春 130012
  • 收稿日期:2016-11-29 出版日期:2017-05-26 发布日期:2017-05-31
  • 通讯作者: 周明月 E-mail:zmyjlu@ccut.edu.cn

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

摘要: 针对认知无线电网络功率分配的参数扰动性问题, 提出一种基于保护因子的认知无线电鲁棒功率分配算法. 该算法根据实际系统信道参数的扰动性, 对授权用户干扰功率阈值引入保护机制进行鲁棒规划, 运用Lagrange对偶算法和凸优化相关理论得到最优功率分配, 解决了下垫式(Underlay)模式下认知无线电网络信道参数扰动性问题. 仿真结果表明, 该算法具有较好的鲁棒性, 降低了算法复杂度, 并提高了认知无线电网络的系统容量.

关键词: 容量最大化, 鲁棒优化, 认知无线电, 资源分配

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

中图分类号: 

  • TP393