ISSN: 1673-825X    Imprint: Chongqing University of Posts and Telecommunications Journal
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基于SDN的无线网络节能与干扰联合优化研究
Research on joint optimization of energy-saving and interference in wireless networks based on SDN
DOI:10.3979/j.issn.1673-825X.2019.04.002
Received:May 18, 2018  Revised:January 27, 2019
中文关键词:访问接入点  节能  干扰  双边拍卖
英文关键词:access point (AP)  energy saving  interference  double auction
基金项目:重庆市研究生科研创新项目(CYB18167)
Author NameAffiliationE-mail
TANG Hong Future Network Research Center of Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China tanghong@cqupt.edu.cn 
AN Rongtong Future Network Research Center of Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China 952727451@qq.com 
XU Chuan Future Network Research Center of Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China xuchuan@cqupt.edu.cn 
HAN Zhenzhen Future Network Research Center of Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China zhaogf@cqupt.edu.cn 
ZHAO Guofeng Future Network Research Center of Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China zhaogf@cqupt.edu.cn 
ZHOU Jihua Chongqing Jinmei Communication Limited Liability Company, Chongqing 400065, P. R. China jhzhou@ict.ac.cn 
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中文摘要:
      针对无线局域网(wireless local-area network,WLAN)网络中密集部署无线访问接入点(acess point,AP)间存在大量冗余AP以及用户受到AP间干扰的问题,提出了一种节能干扰联合优化下的双边拍卖算法。将节能与干扰联合优化下的资源分配作为社会福利最大化问题,利用拉格朗日乘数法和梯度下降法得到最优解。拍卖双方迭代更新各自的出价直至收敛,得到社会福利最大化。仿真结果表明,节能干扰联合优化算法能有效关闭冗余AP,在用户数较少时能减少75%的能耗,用户数较多时减小能耗达到45%,并且降低用户受到的干扰,保证用户的吞吐量需求。
英文摘要:
      Aiming at the problem that there are a large number of redundant access points (APs) and the users are interfered by APs in wireless local area network (WLAN) network of densely deployed APs, a double auction algorithm about the joint optimization of energy saving and interferences is proposed. The resource allocation under the joint optimization of energy saving and interference is regarded as the problem of maximizing social welfare. The optimal solution is obtained by Lagrange Multiplier method and Gradient Descent method. The auctioneer iteratively updates their respective bids until convergence to maximize social welfare. Simulation results show the proposed algorithm of joint optimization of energy saving and interference can effectively shut down redundant APs, reduce energy consumption by 75% when the number of users at a lower level and also can reduce energy consumption by 45% when the number of users at a higher level, and ensure the throughput requirements of users at the same time.
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