电信科学 ›› 2017, Vol. 33 ›› Issue (12): 84-90.doi: 10.11959/j.issn.1000-0801.2017317

• 研究与开发 • 上一篇    下一篇

大规模MIMO系统中基于能效最大化的资源联合优化算法

曹海燕1,冯瑞瑞1,方昕1,王秀敏2,许方敏1   

  1. 1 杭州电子科技大学通信工程学院,浙江 杭州 310018
    2 中国计量大学信息工程学院,浙江 杭州 310018
  • 修回日期:2017-09-21 出版日期:2017-12-01 发布日期:2018-01-12
  • 作者简介:曹海燕(1975-),女,博士,杭州电子科技大学通信工程学院副教授、硕士生导师,主要研究方向为无线通信系统的信道编码、信号检测和LTE物理层标准等。|冯瑞瑞(1993-),女,杭州电子科技大学通信工程学院硕士生,主要研究方向为无线通信、大规模MIMO系统的能效资源分配。|方昕(1975-),女,博士,杭州电子科技大学通信工程学院副教授、硕士生导师,主要研究方向为4G/5G物理层算法。|王秀敏(1963-),女,中国计量大学信息工程学院教授、硕士生导师,主要研究方向为电路与系统、信号处理。|许方敏(1980-),女,博士,杭州电子科技大学通信工程学院讲师,主要研究方向为先进移动通信系统及其关键技术。
  • 基金资助:
    国家自然科学基金资助项目(61501158);国家自然科学基金资助项目(61379027);浙江省教育厅科学基金资助项目(LY14F010019);浙江省教育厅科学基金资助项目(LQ15F01004)

A joint optimization algorithm based on energy efficiency maximization for massive MIMO systems

Haiyan CAO1,Ruirui FENG1,Xin FANG1,Xiumin WANG2,Fangmin XU1   

  1. 1 Telecommunication Engineering School,Hangzhou Dianzi University,Hangzhou 310018,China
    2 Information Engineering School,China Jiliang University,Hangzhou 310018,China
  • Revised:2017-09-21 Online:2017-12-01 Published:2018-01-12
  • Supported by:
    The National Natural Science Foundation of China(61501158);The National Natural Science Foundation of China(61379027);Education Department Foundation of Zhejiang Province of China(LY14F010019);Education Department Foundation of Zhejiang Province of China(LQ15F01004)

摘要:

针对信道条件未知的多小区大规模多输入多输出(MIMO)系统,提出一种对导频序列长度、导频符号功率以及数据符号功率进行联合优化的资源分配算法。采用最大比合并(MRC)接收,考虑电功率和导频污染的影响,并对最大传输功率进行约束从而建立起以能效(EE)最大化为目标的非凸函数模型。根据分数规划的性质,首先将分数形式转化成减式形式,进而分解成一系列凸函数之差(DC)的问题,最后采用交替优化算法联合调整 3 个变量从而达到能效最大化的目标。仿真结果表明,随着最大符号传输功率的增加,所提方案仍然能保持良好系统能效性能。

关键词: 大规模MIMO, 导频序列, 资源分配, 联合优化, DC问题

Abstract:

For the massive multi-cell multi-input multiple-output (MIMO) communication uplink system with unknown channel status information,a resource allocation algorithm which jointly optimizes the pilot sequence length,pilot symbol power and data symbol power was proposed.With the maximum ratio combining (MRC) receiver,the influence of circuit power was considered,pilot contamination and the constraint of maximum transmission power,and a nonconvex function modeled with the goal of maximizing energy efficiency (EE) was established.Firstly,the fractional form was transformed into an equivalent subtractive form by using the properties of fractional programming and then decomposed into a series of DC problems,finally,by using an iterative optimization algorithm,the three variables were alternately adjusted with maximizing the energy efficiency.Simulation results show that with the increasing of the maximum symbol transmission power,the proposed scheme can still have the great EE performance for the massive MIMO systems.

Key words: massive MIMO, pilot sequence, resource allocation, joint optimize, DC problem

中图分类号: 

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