计算机应用 ›› 2017, Vol. 37 ›› Issue (8): 2133-2138.DOI: 10.11772/j.issn.1001-9081.2017.08.2133

• 网络与通信 • 上一篇    下一篇

异构网中具有服务质量约束的高能效微基站部署方法

张洋洋, 汤红波, 游伟, 王晓雷, 赵宇   

  1. 国家数字交换系统工程技术研究中心, 郑州 450002
  • 收稿日期:2017-02-27 修回日期:2017-03-24 出版日期:2017-08-10 发布日期:2017-08-12
  • 通讯作者: 张洋洋
  • 作者简介:张洋洋(1988-),男,河南三门峡人,硕士研究生,主要研究方向:新型无线移动通信、异构网节能;汤红波(1968-),男,湖北孝感人,教授,硕士,主要研究方向:移动通信网络、新型网络体系结构;游伟(1984-),男,江西丰城人,助理研究员,博士,主要研究方向:密码学、移动通信网络;王晓雷(1982-),男,山东淄博人,博士研究生,主要研究方向:移动通信网络、软件定义网络;赵宇(1984-),男,吉林辽源人,博士研究生,主要研究方向:移动通信网络、社交网络。
  • 基金资助:
    国家自然科学基金资助项目(61521003);国家科技支撑计划项目(2014BAH30B00)。

Energy-efficient micro base station deployment method in heterogeneous network with quality of service constraints

ZHANG Yangyang, TANG Hongbo, YOU Wei, WANG Xiaolei, ZHAO Yu   

  1. National Digital Switching System Engineering and Technological R & D Center, Zhengzhou Henan 450002, China
  • Received:2017-02-27 Revised:2017-03-24 Online:2017-08-10 Published:2017-08-12
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61521003),the National Key Technology R&D Program (2014BAH30B00).

摘要: 针对异构密集网络中基站密度增大带来的网络能耗过高问题,提出一种异构网络中高能效的微基站部署方法。首先,考虑微基站候选位置可行性以减轻环境条件的影响;其次,在不同的用户分布状态下对优化目依概率进行加权,增强了对不同用户分布场景的适应性;最后,通过对微基站部署数目、位置和功率配置的联合优化来提升系统能效,并提出了一种高能效的微基站部署算法。仿真表明,与仅优化微基站数量和部署位置的方法相比,所提方法提升能效最高达26%。实验结果表明,相对于不考虑功率的部署方法,所提出的联合优化方法能够有效提升系统能效,同时验证了微基站功率对异构网络能效的影响。

关键词: 异构密集网络, 能效, 微基站部署, 用户分布, 微基站功率

Abstract: Aiming at the problem of high energy consumption caused by the increase of base station density in heterogeneous dense network, an energy-efficient method for micro base station deployment in heterogeneous networks was proposed. Firstly, the feasibility of micro base station positions was considered to mitigate the effects of environmental conditions. Then the optimization target value was weighed under different user distribution probability to enhance adaptability for different user distribution scenarios. Finally, an energy-efficient deployment algorithm for micro base stations was proposed by jointly optimizing the number, deployment position and power configuration of micro base stations. Simulation results show that the proposed method improves energy efficiency by up to 26% compared with the scheme which only optimizes the number and location of micro base stations. The experimental results demonstrate that the combined optimization method can improve the energy efficiency of the system compared with the deployment method without considering the power factor, and verifies the influence of the micro base station power on the energy efficiency of heterogeneous network.

Key words: heterogeneous dense network, energy efficiency, micro base station deployment, user distribution, micro base station power

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