计算机应用

• 人工智能与仿真 •    下一篇

一种异构网中具有QoS约束的高能效微基站部署方法

张洋洋1,汤红波2,游 伟1,王晓雷3,赵宇2   

  1. 1. 国家数字交换系统工程技术研究中心
    2. 国家数字交换系统工程技术研究中心,郑州 450002
    3. 解放军信息工程大学信息工程学院信息技术研究所
  • 收稿日期:2017-02-20 修回日期:2017-03-24 发布日期:2017-03-24 出版日期:2017-05-13
  • 通讯作者: 张洋洋

An Energy-Efficient Micro Base Station Deployment Method in Heterogeneous Network with QoS Constraints

  • Received:2017-02-20 Revised:2017-03-24 Online:2017-03-24 Published:2017-05-13

摘要: 摘 要: 未来的蜂窝网将会是宏基站叠加微基站、微微基站、家庭基站和中继等组成的异构密集网络。移动业务需求的爆炸式增长促使基站密度不断增大,网络能耗问题逐渐凸显。出于成本和待机时间等方面考虑,异构网络中的能效问题引发关注。该文研究了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标依概率进行加权,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,提出了一种高能效的微基站部署算法。仿真结果表明,相对于仅优化微基站数量和部署位置的方案,该文提出的联合优化方案能明显提升系统能效。同时也验证了微基站功率对异构网络能效的影响。

Abstract: Abstract: The future cellular network will be a heterogeneous dense network, which consists of macro base stations overlaid by micro base stations, pico base stations, femto base stations and relays. As the explosive growth of mobile services promotes to increase the cell density, issue of energy consumption becomes increasingly prominent. For cost, standby time and other considerations, the problem of energy efficiency in a heterogeneous network has attracted more and more attention. In this paper, deployment method of micro base station for energy efficiency in heterogeneous network is investigated. Firstly the feasibility of micro base station positions is considered to mitigate the effects of environmental conditions. Then the optimization target value is weighed under different user distribution probability to enhance adaptability for different distribution scenarios of users. Finally, an energy- efficient deployment algorithm for micro base stations is proposed by jointly optimizing the number, deployment position and power configuration of micro base stations. Simulation results show that, with respect to the microcell deployment only optimizing the number and deployment location of microcells, joint optimization of the proposed scheme can significantly improve energy efficiency of the network. The influence of micro base station power to energy efficiency in heterogeneous network is also proved.

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