首页 | 本学科首页   官方微博 | 高级检索  
     

基于基站休眠技术的无线通信网络能源协作策略
引用本文:蒋阅,刘海林,王强.基于基站休眠技术的无线通信网络能源协作策略[J].广东工业大学学报,2018,35(2):69-74.
作者姓名:蒋阅  刘海林  王强
作者单位:1. 广东工业大学 信息工程学院, 广东 广州 510006; 2. 广东工业大学 应用数学学院, 广东 广州 510520; 3. 广东工业大学 自动化学院, 广东 广州 510006
基金项目:国家自然科学基金资助项目(61673121)
摘    要:有效提高无线通信网络能源效率,降低能源成本,提升通信服务质量,一直是通信领域重要的研究课题. 本文利用基站休眠技术关闭低负载状态或处于空闲状态的基站,联合能源采集技术采集清洁能源供基站和其他系统使用,通过系统能源协作降低能源的浪费,该协作模型是一个约束优化问题,使用一种动态权重约束优化处理算法对模型进行求解分析. 实验表明,本文提出的系统模型能有效降低网络能耗,提高通信速率.

关 键 词:能源协作  基站休眠  能源采集  
收稿时间:2017-08-09

Energy Cooperation Strategy for Wireless Communication Networks Based on Base Station Sleep Technology
Jiang Yue,Liu Hai-lin,Wang Qiang.Energy Cooperation Strategy for Wireless Communication Networks Based on Base Station Sleep Technology[J].Journal of Guangdong University of Technology,2018,35(2):69-74.
Authors:Jiang Yue  Liu Hai-lin  Wang Qiang
Affiliation:1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China; 2. School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510520, China; 3. School of Automation, Guangdong University of Technology, Guangzhou 510006, China
Abstract:Effectively improving the wireless communication network energy efficiency, reducing energy costs, and improving the quality of communication services has always been an important research topic in the field of communication. The base station sleep technology is used to close the low load or the idle state of the base station combining with energy collection technology to collect clean energy for the use of base stations and other systems. Through the system energy collaboration to reduce energy waste, the collaborative model is in a constraint optimization problem. A dynamic weight constraint optimization algorithm is used to solve the model. Experiments show that our proposed system model can effectively reduce the network energy consumption and improve the communication rate.
Keywords:energy cooperation  base station sleeping technology  energy harvesting  
点击此处可从《广东工业大学学报》浏览原始摘要信息
点击此处可从《广东工业大学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号