北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2012, Vol. 35 ›› Issue (6): 97-101.doi: 10.13190/jbupt.201206.97.miaoj

• 研究报告 • 上一篇    下一篇

负载感知的异构无线网络协同休眠节能算法

苗 杰, 胡 铮, 田 辉, 桂 丽, 陆 磊   

  1. 1. 泛网无线通信教育部重点实验室(北京邮电大学), 北京 100876;2. 中讯邮电咨询设计院有限公司, 北京 100048;3. 北京邮电大学 网络与交换技术国家重点实验室, 北京 100876;<br>4. 上海市电力公司奉贤供电公司, 上海 201400
  • 收稿日期:2012-03-18 修回日期:2012-07-03 出版日期:2012-12-28 发布日期:2013-01-07
  • 通讯作者: 苗杰 E-mail:miaojie@bupt.edu.cn
  • 作者简介:苗 杰(1983-),男,博士生,Email:miaojie@bupt.edu.cn 胡 铮(1980),男,副教授
  • 基金资助:

    国家自然科学基金项目(60971125);国家重大科技专项项目(2010ZX03005-03,2011ZX03005-004-02);欧盟第七框架计划项目(2010-269323)

Load-Aware Cooperative Sleeping Energy Saving Algorithm for Heterogeneous Wireless Networks

MIAO Jie, HU Zheng, TIAN Hui, GUI Li, LU Lei   

  1. 1. Key Laboratory of Universal Wireless Communications(Beijing University of Posts and Telecommunications),Ministry of Education, Beijing 100876,China;<br>2. China Information Technology Designing and Consulting Institute Company Limited,Beijing 100048,China;<br>3. State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China;<br>4. Shanghai Municipal Electric Power Company Fengxian Power Supply Company, Shanghai 201400, China
  • Received:2012-03-18 Revised:2012-07-03 Online:2012-12-28 Published:2013-01-07
  • Contact: Miao Jie E-mail:miaojie@bupt.edu.cn
  • Supported by:

    EU FP7 EVANS

摘要:

提出了一种基于业务请求负载感知的异构无线网络自适应协同休眠节能算法,在满足异构无线网络系统内业务服务质量要求的条件下最小化系统功耗. 该算法在异构无线网络自优化框架下建立基于经济学收益的节能模型. 蒙特卡洛仿真结果表明,在满足用户业务请求阻塞率约束条件下,新算法能自适应调度异构无线网络的工作模式,并降低系统总功耗.

关键词: 异构无线网络, 负载感知, 协同休眠算法

Abstract:

An adaptive service request load-aware cooperative sleeping energy saving algorithm for heterogeneous wireless networks is proposed, and it minimizes system overall power consumption under the constraint on the quality of service requirement in the heterogeneous networks system. The proposed algorithm constructs the economic theory revenue based power-saving model under wireless networks self-optimization framework. Monte Carlo simulation demonstrates that the algorithm can adaptively schedule the working mode of heterogeneous wireless networks and decrease the system total power consumption,and satisfies the blocking rate constraint of user service request.

Key words: heterogeneous wireless networks, load-aware, cooperative sleeping algorithm

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