吉林大学学报(理学版)

• 计算机科学 • 上一篇    下一篇

WRAN中基于量子进化的频谱分配

王若慧1, 张华伟2   

  1. 1. 山西大学 工程学院,  太原 030013;2. 河南财经政法大学 计算机与信息工程学院,  郑州 450000
  • 收稿日期:2013-05-30 出版日期:2014-05-26 发布日期:2014-08-27
  • 通讯作者: 张华伟 E-mail:paper_gain@126.com

A Quantum Evolutionary Based Spectrum Allocation Scheme in Wireless Regional Area Network

WANG Ruohui1, ZHANG Huawei2   

  1. 1. College of Engineering, Shanxi University, Taiyuan 030013, China; 2. School of Computer andInformation Engineering, Henan University of Economic and Law, Zhengzhou 450000, China
  • Received:2013-05-30 Online:2014-05-26 Published:2014-08-27
  • Contact: ZHANG Huawei E-mail:paper_gain@126.com

摘要:

针对认知无线网络中已有的频谱分配方案多数集中于较广义范围的问题, 设计一种基于量子进化的优化方案, 解决了无线区域网络的频谱分配问题. 在量子进化算法中, 构造一种改进的量子旋转门算子, 可自适应地计算量子相位的旋转角度, 避免进化算法陷入局部最优. 仿真实验结果表明, 该算法可获得更高的收益, 满足WRAN
网络的频谱分配需求.

关键词: 量子进化,  , 频谱分配,  , 网络效益, 无线区域网络

Abstract:

In the light of existing spectrum allocation scheme being in a relatively broad range in cognitive radio networks, we designed quantum evolutionary algorithm to solve the spectrum allocation of wireless regional area network. An improved quantum gate operator was constructed. It calculates the quantum rotation angle adaptively to improve the ability to maintain the diversity of the population which can avoid falling into local optimum. Simulation results show that the proposed algorithm can obtain higher returns, and can meet the wireless regional area network demand for spectrum allocation.

Key words: quantum evolutionary;  , spectrum allocation; , network profits, wireless regional area network

中图分类号: 

  • TP393