低精度ADC大规模MIMO系统的能效联合优化算法

曹海燕; 胡文娟; 智应娟; 许方敏; 方昕

doi:10.11959/j.issn.1000-0801.2020167

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低精度ADC大规模MIMO系统的能效联合优化算法

研究与开发 | 更新时间：2024-06-05

- 低精度ADC大规模MIMO系统的能效联合优化算法
- Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems
- 电信科学 2020年36卷第6期页码：90-96
- 作者机构：
- 作者简介：
  
  [ "曹海燕（1975- ），女，博士，杭州电子科技大学副教授，主要研究方向为无线通信系统的信道编码、信号检测、LTE 物理层标准等" ]
  [ "胡文娟（1994- ），女，杭州电子科技大学硕士生，主要研究方向为无线通信系统、大规模MIMO系统中的能效优化技术" ]
  [ "智应娟（1995- ），女，杭州电子科技大学硕士生，主要研究方向为无线通信系统、大规模MIMO系统中的能效优化技术" ]
  [ "许方敏（1980- ），女，杭州电子科技大学讲师，主要研究方向为先进移动通信系统及其关键技术，包括干扰抑制策略、无线资源管理策略" ]
  [ "方昕（1975- ），女，杭州电子科技大学副教授，主要研究方向为4G/5G移动通信物理层算法" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61501158);国家自然科学基金资助项目;The National Natural Science Foundation of China(61379027);浙江省教育厅科学基金资助项目;The Education Department Foundation of Zhejiang Province of China(LY14F010019);浙江省教育厅科学基金资助项目;The Education Department Foundation of Zhejiang Province of China(LQ15F01004)
- DOI：10.11959/j.issn.1000-0801.2020167
  中图分类号： TN929.53
- 网络出版日期：2020-06，
  
  纸质出版日期：2020-06-20
- 稿件说明：
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曹海燕, 胡文娟, 智应娟, 等. 低精度ADC大规模MIMO系统的能效联合优化算法[J]. 电信科学, 2020,36(6):90-96.

Haiyan CAO, Wenjuan HU, Yingjuan ZHI, et al. Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems[J]. Telecommunications science, 2020, 36(6): 90-96.
曹海燕, 胡文娟, 智应娟, 等. 低精度ADC大规模MIMO系统的能效联合优化算法[J]. 电信科学, 2020,36(6):90-96. DOI： 10.11959/j.issn.1000-0801.2020167.

Haiyan CAO, Wenjuan HU, Yingjuan ZHI, et al. Energy efficiency joint optimization algorithm for low-precision ADC massive MIMO systems[J]. Telecommunications science, 2020, 36(6): 90-96. DOI： 10.11959/j.issn.1000-0801.2020167.

摘要

针对配置低精度模数转换器（ADC）的大规模多输入多输出（MIMO）系统，提出一种基于交替优化算法的上行链路能效优化算法。即在基于最大比合并（MRC）接收的基础上，建立以能效最大化为目标的优化模型，再根据分数规划的性质，把原始的分式形式最优化问题转换成等价的减式形式，在量化比特数一定的情况下，对发射功率和导频长度进行交替迭代优化。仿真结果表明，所提算法有较好的频谱效率与能量效率。

Abstract

An uplink energy efficiency optimization algorithm based on alternating optimization algorithm was proposed for large-scale multiple-input multiple-output (MIMO) systems with low-precision analog to digital converters (ADC).That is

based on the maximum ratio combining (MRC) reception

an optimization model aiming at maximizing energy efficiency was established

and then the original fractional form optimization problem was converted into an equivalent subtractive form according to the nature of the fractional programming.In the case where the number of quantization bits was constant

the iterative optimization of the transmission power and the pilot length were performed.Simulation results show that the proposed algorithm has better spectral efficiency and energy efficiency.

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references

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曹海燕 , 冯瑞瑞 , 方昕 , 等 . 大规模MIMO系统中基于能效最大化的资源联合优化算法 [J ] . 电信科学 , 2017 , 33 ( 12 ): 84 - 90 .

CAO H L , FENG R R , FANG X , et al . A joint optimization algorithm based on energy efficiency maximization for massive MIMO systems [J ] . Telecommunications Science , 2017 , 33 ( 12 ): 84 - 90 .

乔丹 , 温朝凯 , 高飞飞 , 等 . 基于低精度量化的无线传输理论最新研究进展 [J ] . 电信科学 , 2017 , 33 ( 6 ): 21 - 33 .

QIAO D , WEN C K , GAO F F , et al . An overview of low resolution quantization in wireless communication system [J ] . Telecommunications Science , 2017 , 33 ( 6 ): 21 - 33 .

YANG H , MARZETTA T L . Total energy efficiency of cellular large scale antenna system multiple access mobile networks [C ] // Proceedings of 2013 IEEE Online Conference on Green Communications . Piscataway:IEEE Press , 2013 .

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DINKELBACH W . On nonlinear fractional programming [J ] . Management Science , 1967 , 13 ( 7 ): 492 - 498 .

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