吉林大学学报(信息科学版)

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面向拥塞控制的WMN 联合功率控制与信道分配

李志军,王恩东,刘丹   

  1. 吉林大学通信工程学院,长春130012
  • 收稿日期:2018-01-22 出版日期:2018-07-24
  • 作者简介:李志军( 1971— ) ,男,长春人,吉林大学高级工程师,主要从事无线资源管理技术研究,( Tel) 86-13504456889( E-mail) zhijun@ jlu. edu. cn。
  • 基金资助:
    国家自然科学基金资助项目( 61373124)

Congestion Control Oriented Joint Power Control and Channel Assignment for WMN

LI Zhijun,WANG Endong,LIU Dan   

  1. LI Zhijun,WANG Endong,LIU Dan
  • Received:2018-01-22 Online:2018-07-24

摘要: 为解决所构建的联合资源分配模型的资源分配问题,提出一种面向拥塞控制的联合功率控制与信道分配算法( CCJPCA: Congestion Control oriented Joint Power control and Channel assignment Algorithm) 。CCJPCA 算法通过混合编码策略实现了链路功率与信道变量的共同进化,利用Q-Learning 算法的回报机制实现变异策略的自适应选择,从而保证网络资源的合理配置。NS-3( Network Simulator-3) 仿真结果表明,CCJPCA 算法能优先为网络瓶颈链路分配网络资源,提高算法收敛速度,减少网络排队和重传时延,降低网络平均丢包率。

关键词: 拥塞控制, 无线Mesh 网络, 信道分配, 功率控制

Abstract: In order to solve the resource distribution problem in the joint resource allocation model,a novel power control and channel assignment algorithm is proposed,which is named CCJPCA ( Congestion Control oriented Joint Power control and Channel assignment Algorithm) . In the CCJPCA algorithm,the hybrid coding
strategy is used to achieve the co-evolution of the power and channel variable. The reward mechanism of Q-Learning algorithm is used to realize the adaptive selection of mutation strategy,which ensures the reasonable allocation of network resource. The simulation results based on NS-3 ( Network Simulator-3 ) indicate that CCJPCA algorithm can give priority to network resources of network bottleneck links, achieve algorithm convergence speed,reduce network queuing and retransmission delay,and lower the average packet loss ratio.

Key words: wireless Mesh network, power control, congestion control, channel assignment

中图分类号: 

  • TP393