电信科学 ›› 2017, Vol. 33 ›› Issue (11): 17-26.doi: 10.11959/j.issn.1000-0801.2017266

• 研究与开发 • 上一篇    下一篇

3D MIMO-OFDMA系统中基于垂直波束成形的能效优化算法

李汀,仇林杰,季薇   

  1. 南京邮电大学通信与信息工程学院,江苏 南京 210003
  • 修回日期:2017-09-20 出版日期:2017-11-01 发布日期:2017-12-08
  • 作者简介:李汀(1979-),男,南京邮电大学通信与信息工程学院讲师,主要研究方向为MIMO技术、3D MIMO技术、协作通信等。|仇林杰(1992-),男,南京邮电大学通信与信息工程学院硕士生,主要研究方向为无线通信中的信号处理技术。|季薇(1979-),女,南京邮电大学通信与信息工程学院副教授,主要研究方向为无线通信、机器学习等。
  • 基金资助:
    国家自然科学基金资助项目(61771254);国家自然科学基金资助项目(61471200);江苏省自然科学基金资助项目(BK20140881);南京邮电大学横向项目(2016外71);南京邮电大学横向项目(2016 Out-of-School 71)

Energy-efficient optimization algorithm based on vertical beamforming for 3D MIMO-OFDMA system

Ting LI,Linjie QIU,Wei JI   

  1. School of Communication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
  • Revised:2017-09-20 Online:2017-11-01 Published:2017-12-08
  • Supported by:
    The National Natural Science Foundation of China(61771254);The National Natural Science Foundation of China(61471200);Jiangsu Provincial Natural Science Foundation of China(BK20140881);The Horizontal Project of Nanjing University of Posts and Telecommunications(2016外71);The Horizontal Project of Nanjing University of Posts and Telecommunications(2016 Out-of-School 71)

摘要:

针对三维多输入多输出(3D MIMO)正交频分多址(OFDMA)系统,提出了一种能效优化算法。该算法在垂直波束成形技术下,以能量效率最大化为目标,通过调整资源分配、功率分配、天线的波束下倾角来提高系统能量效率。根据分数优化理论,将复杂的分数优化问题转化为较易求解的整式优化问题,然后引入拉格朗日乘子通过不断迭代得到能量效率的最优值。仿真结果表明,所提算法在较少迭代次数下可以获得更高的能量效率。

关键词: 三维多输入多输出, 垂直波束成形, 能量效率, 分数优化理论

Abstract:

An energy-efficient optimization algorithm was proposed for the 3D MIMO-OFDMA communication system.The proposed algorithm based on vertical beamforming technology maximized energy efficiency by adjusting the resource allocation,power allocation and the downtitles of the beam.According to the theory of fractional optimization,the complex fractional optimization problem could be converted into a more tractable integral optimization problem.The lagrangian operator was introduced to obtain the optimal value of energy efficiency by iteration.Simulation results show that the proposed algorithm can achieve higher energy efficiency with fewer iterations.

Key words: 3D MIMO, vertical beamforming, energy efficiency, fractional optimization theory

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