计算机工程 ›› 2019, Vol. 45 ›› Issue (9): 100-104.doi: 10.19678/j.issn.1000-3428.0051618

• 移动互联与通信技术 • 上一篇    下一篇

Femto网络中基于自适应定价的功率控制算法

彭大芹1,2, 孙向月1,2, 王付龙1,2   

  1. 1. 重庆邮电大学 电子信息与网络工程研究院, 重庆 400065;
    2. 重庆市新一代信息网络与终端协同创新中心, 重庆 400065
  • 收稿日期:2018-05-22 修回日期:2018-07-13 出版日期:2019-09-15 发布日期:2018-07-20
  • 作者简介:彭大芹(1969-),男,正高级工程师,主研方向为移动通信;孙向月、王付龙,硕士研究生。
  • 基金项目:
    国家科技重大专项(2016ZX03002019-007)。

Power Control Algorithm Based on Adaptive Pricing in Femto Network

PENG Daqin1,2, SUN Xiangyue1,2, WANG Fulong1,2   

  1. 1. Electronic Information and Networking Engineering Research Institute, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
    2. Chongqing Collaborative Innovation Center for New Generation Information Network and Terminal, Chongqing 400065, China
  • Received:2018-05-22 Revised:2018-07-13 Online:2019-09-15 Published:2018-07-20
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.U1766204).

摘要: 为提高Femto网络的系统能效,提出一种自适应定价的功率控制算法。定义自适应定价因子为家庭基站每增加单位功率时网络能效的边缘下降幅度,每个家庭基站根据收集到的其他家庭基站发射功率信息计算自适应定价因子,以能效优先原则对家庭基站分配发射功率。在此基础上,采用分布式功率控制方法为每个家庭基站进行功率分配,并通过多次迭代求得系统的平均能效。利用MATLAB软件搭建系统仿真平台,实验结果表明,与基于固定定价的功率控制算法相比,该算法可提高约18.6%的系统能效。

关键词: 网络能效, 自适应定价, 功率控制, 定价因子, 功率分配

Abstract: In order to improve the system energy efficiency of the Femto network,this paper proposes a power control algorithm supporting adaptive pricing.The adaptive pricing factor is defined as the edge drop of energy efficiency of the network when the home base station increases unit of power.Each home base station calculates an adaptive pricing factor based on the collected transmission power information of other home base stations,and distributes transmission power to the home base stations with energy efficiency first principle.Then,the power of each home base station is distributed using a distributed power control method.On this basis,the average energy efficiency of the system is obtained through multiple iterations.MATLAB is used to build the system simulation platform.The simulation results show that,compared with the power control algorithm based on fixed pricing,the proposed algorithm improves the system energy efficiency by about 18.6%.

Key words: energy efficiency of network, adaptive pricing, power control, pricing factor, power distribution

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