一种新型低复杂度双层分组天线选择算法

张沛昌; 安万年; 钟世达; 黄磊; 庄春生; 张伟

doi:10.11959/j.issn.1000-0801.2021111

您当前的位置：

首页 >

文章列表页 >

一种新型低复杂度双层分组天线选择算法

研究与开发 | 更新时间：2024-06-05

- 一种新型低复杂度双层分组天线选择算法
- A novel low-complexity two-tier group antenna selection algorithm
- 电信科学 2021年37卷第7期页码：67-76
- 作者机构：
  
  1. 深圳大学电子与信息工程学院，广东深圳 518000
  2. 河南省科学院应用物理研究所有限公司，河南郑州 450002
- 作者简介：
  
  [ "张沛昌（1987- ），男，博士，深圳大学电子与信息工程学院讲师、硕士生导师，主要研究方向为天线选择、相干和非相干检测、迭代检测和信道估计" ]
  [ "安万年（1995- ），男，深圳大学电子与信息工程学院硕士生，主要研究方向为MIMO无线通信、协同通信、天线选择、机器学习" ]
  [ "钟世达（1985- ），男，博士，深圳大学电子与信息工程学院讲师、硕士生导师，主要研究方向为测试设计、天线选择、联合算法和硬件协同设计、FPGA 以及下一代信道编码系统的ASIC实现" ]
  [ "黄磊（1975- ），男，博士，深圳大学电子与信息工程学院教授、博士生导师，主要研究方向为谱估计、阵列信号处理、统计信号处理、以及它们在雷达和无线通信系统中的应用" ]
  [ "庄春生（1969- ），男，河南省科学院应用物理研究所有限公司研究员，主要研究方向为计算机应用及新材料" ]
  [ "张伟（1984- ），男，河南省科学院应用物理研究所有限公司高级工程师，主要研究方向为电子电路" ]
- 基金信息：
  
  广东省普通高校“服务乡村振兴计划”重点领域专项;The Foundation of Guangdong Key Areas of “Service for Rural Revitalization Plan”(2019KZDZX2014);广东省普通高校“服务乡村振兴计划”重点领域专项;The Foundation of Guangdong Key Areas of “Service for Rural Revitalization Plan”(2020ZDZX1037);国家自然科学基金资助项目;The National Natural Science Foundation of China(61601304);国家自然科学基金资助项目;The National Natural Science Foundation of China(U1713217);国家自然科学基金资助项目;The National Natural Science Foundation of China(U1501253);国家自然科学基金资助项目;The National Natural Science Foundation of China(61801297);国家自然科学基金资助项目;The National Natural Science Foundation of China(61801302);深圳市基金资助项目;The Foundation of Shenzhen(JCYJ20170302142545828);深圳大学科研启动项目;The Foundation of Shenzhen University Scientific Re-search Start Project(2019119)
- DOI：10.11959/j.issn.1000-0801.2021111
  中图分类号： TN929.5
- 网络出版日期：2021-07，
  
  纸质出版日期：2021-07-20
- 稿件说明：
移动端阅览
张沛昌, 安万年, 钟世达, 等. 一种新型低复杂度双层分组天线选择算法[J]. 电信科学, 2021,37(7):67-76.

Peichang ZHANG, Wannian AN, Shida ZHONG, et al. A novel low-complexity two-tier group antenna selection algorithm[J]. Telecommunications science, 2021, 37(7): 67-76.
张沛昌, 安万年, 钟世达, 等. 一种新型低复杂度双层分组天线选择算法[J]. 电信科学, 2021,37(7):67-76. DOI： 10.11959/j.issn.1000-0801.2021111.

Peichang ZHANG, Wannian AN, Shida ZHONG, et al. A novel low-complexity two-tier group antenna selection algorithm[J]. Telecommunications science, 2021, 37(7): 67-76. DOI： 10.11959/j.issn.1000-0801.2021111.

摘要

针对平坦相关瑞利衰落信道环境下的端到端大规模MIMO系统复杂度过高的问题，提出一种基于离散布谷鸟搜索的低复杂度双层分组天线选择算法。该算法首先基于天线信道相关性对大规模天线阵列进行分组处理，进而利用新型双层算法对分组的天线集合进行优化天线选择。其中，新型双层算法的第一层是每小组天线基于离散布谷鸟搜索的内部选择，第二层是对第一层选择的所有天线利用离散布谷鸟搜索进行最终的选择。提出的新型天线选择算法可有效降低大规模MIMO系统复杂度。仿真结果验证了在平坦相关瑞利衰落信道环境下，提出的天线选择算法能够以较低选择复杂度获得接近最优选择方法的容量性能和较优的BER性能。

Abstract

Aiming at the high complexity of the end-to-end massive MIMO systems in flat correlated Rayleigh fading channel environments

a low-complexity two-tier group antenna selection algorithm based on discrete cuckoo search was proposed.The algorithm firstly grouped large-scale antenna arrays based on the correlation of antenna channels

and then used a new two-tier algorithm to optimize antenna selection for the grouped antenna sets.The first layer of the new two-tier algorithm was the internal selection of each group of antennas based on discrete cuckoo search

and the second layer was the final selection of all antennas selected by the first layer using discrete cuckoo search.The novel antenna selection algorithm could effectively reduce the complexity of large-scale MIMO systems.The simulation results verify that the antenna selection algorithm can obtain the capacity performance close to the optimal selection method and better BER performance with lower selection complexity under the flat correlated Rayleigh fading channel environments.

关键词

Keywords

references

SANGUINETTI L , BJÖRNSON E ,, HOYDIS J . Toward massive MIMO 2.0:understanding spatial correlation,interference suppression,and pilot contamination [J ] . IEEE Transactions on Communications , 2020 , 68 ( 1 ): 232 - 257 .

ZHANG J Y , BJÖRNSON E ,, MATTHAIOU M , et al . Prospective multiple antenna technologies for beyond 5G [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 8 ): 1637 - 1660 .

ZHANG J Y , BJÖRNSON E ,, MATTHAIOU M , et al . Guest editorial special issue on multiple antenna technologies for beyond 5G-part—I [J ] . IEEE Journal on Selected Areas in Communications , 2020 , 38 ( 8 ): 1633 - 1636 .

ZHANG P C , CHEN S , HANZO L . Two-tier channel estimation aided near-capacity MIMO transceivers relying on norm-based joint transmit and receive antenna selection [J ] . IEEE Transactions on Wireless Communications , 2015 , 14 ( 1 ): 122 - 137 .

ZHANG P C , XU J J , ZHONG S D , et al . Design of reconfigurable SDR platform for antenna selection aided MIMO communication system [J ] . IEEE Access , 2019 , 7 : 169267 - 169280 .

WANG X N , XIAO L M , ZHANG Y , et al . Measurement-based massive MIMO antenna selection in indoor office scenario at 3.52 GHz [C ] // Proceedings of 2018 IEEE 18th International Conference on Communication Technology (ICCT) . Piscataway:IEEE Press , 2018 : 573 - 577 .

DEOTALE N , KOLEKAR U , HENDRE V . Ergodic capacity based antenna selection in MIMO for Rayleigh fading [C ] // Proceedings of 2015 International Conference on Information Processing (ICIP) . Piscataway:IEEE Press , 2015 : 317 - 321 .

AL-HUSSAIBI W A , ALI F H . Receive antenna selection for uplink multiuser MIMO systems over correlated Rayleigh fading channels [C ] // Proceedings of 2011 The 14th International Symposium on Wireless Personal Multimedia Communications (WPMC) . Piscataway:IEEE Press , 2011 : 1 - 5 .

TAI T H , CHUNG W H , LEE T S . A low complexity antenna selection algorithm for energy efficiency in massive MIMO systems [C ] // Proceedings of 2015 IEEE International Conference on Data Science and Data Intensive Systems . Piscataway:IEEE Press , 2015 : 284 - 289 .

TAI T H , CHEN H J , CHUNG W H , et al . Energy efficient norm-and-correlation-based antenna selection algorithm in spatially correlated massive multi-user MIMO systems [C ] // Proceedings of 2017 IEEE International Workshop on Signal Processing Systems (SiPS) . Piscataway:IEEE Press , 2017 : 1 - 5 .

BLUM R S , XU Z M , SFAR S . A near-optimal joint transmit and receive antenna selection algorithm for MIMO systems [C ] // Proceedings of 2009 IEEE Radio and Wireless Symposium . Piscataway:IEEE Press , 2009 : 554 - 557 .

SANAYEI S , NOSRATINIA A . Capacity maximizing algorithms for joint transmit-receive antenna selection [C ] // Proceedings of Conference Record of the Thirty-Eighth Asilomar Conference on Signals,Systems and Computers . Piscataway:IEEE Press , 2004 : 1773 - 1776 .

CHEN C E . A computationally efficient near-optimal algorithm for capacity-maximization based joint transmit and receive antenna selection [J ] . IEEE Communications Letters , 2010 , 14 ( 5 ): 402 - 404 .

YUVARAJ R , NITHYANANDAN L , EMMANUEL N J . Capacity enhancement with reduced complex receiver antenna selection algorithm for MIMO MC-CDMA system in mobile WiMAX networks [C ] // Proceedings of 2015 Conference on Power,Control,Communication and Computational Technologies for Sustainable Growth (PCCCTSG) . Piscataway:IEEE Press , 2015 : 267 - 272 .

GAO Y , VINCK H , KAISER T . Massive MIMO antenna selection:switching architectures,capacity bounds,and optimal antenna selection algorithms [J ] . IEEE Transactions on Signal Processing , 2018 , 66 ( 5 ): 1346 - 1360 .

YANG X S , DEB S . Cuckoo search via lévy flights [C ] // Proceedings of 2009 World Congress on Nature ＆Biologically Inspired Computing (NaBIC) . Piscataway:IEEE Press , 2009 : 210 - 214 .

吴亚萍 , 董红召 , 林盈盈 , 等 . 混沌改进鱼群算法及其在工业控制网络异常检测中的应用 [J ] . 电信科学 , 2020 , 36 ( 3 ): 27 - 33 .

WU Y P , DONG H Z , LIN Y Y , et al . Improved fish swarm algorithm based on chaos and its application in abnormal detection of industrial control network [J ] . Telecommunications Science , 2020 , 36 ( 3 ): 27 - 33 .

ELHADY G F , TAWFEEK M A . A comparative study into swarm intelligence algorithms for dynamic tasks scheduling in cloud computing [C ] // Proceedings of 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS) . Piscataway:IEEE Press , 2015 : 362 - 369 .

张永韡 , 汪镭 , 吴启迪 . 动态适应布谷鸟搜索算法 [J ] . 控制与决策 , 2014 , 29 ( 4 ): 617 - 622 .

ZHANG Y W , WANG L , WU Q D . Dynamic adaptation cuckoo search algorithm [J ] . Control and Decision , 2014 , 29 ( 4 ): 617 - 622 .

孙晨 , 李阳 , 李晓戈 , 等 . 基于布谷鸟算法优化BP神经网络模型的股价预测 [J ] . 计算机应用与软件 , 2016 , 33 ( 2 ): 276 - 279 .

SUN C , LI Y , LI X G , et al . Stock forecasting model based on optimising BP neural network with cuckoo search [J ] . Computer Applications and Software , 2016 , 33 ( 2 ): 276 - 279 .

朱浩亮 , 李光平 . 基于改进布谷鸟搜索算法的图像分割 [J ] . 计算机工程与设计 , 2018 , 39 ( 5 ): 1428 - 1432 .

ZHU H L , LI G P . Image segmentation based on improved cuckoo search algorithm [J ] . Computer Engineering and Design , 2018 , 39 ( 5 ): 1428 - 1432 .

明波 , 黄强 , 王义民 , 等 . 基于改进布谷鸟算法的梯级水库优化调度研究 [J ] . 水利学报 , 2015 , 46 ( 3 ): 341 - 349 .

MING B , HUANG Q , WANG Y M , et al . Cascade reservoir operation optimization based-on improved cuckoo search [J ] . Journal of Hydraulic Engineering , 2015 , 46 ( 3 ): 341 - 349 .

MI D , DIANATI M , MUHAIDAT S , et al . A novel antenna selection scheme for spatially correlated massive MIMO uplinks with imperfect channel estimation [C ] // Proceedings of 2015 IEEE 81st Vehicular Technology Conference (VTC Spring) . Piscataway:IEEE Press , 2015 : 1 - 6 .

ZHANG P C , CHEN S , HANZO L . Reduced-complexity near-capacity joint channel estimation and three-stage turbo detection for coherent space-time shift keying [J ] . IEEE Transactions on Communications , 2013 , 61 ( 5 ): 1902 - 1913 .

LEE W C Y . Estimate of channel capacity in Rayleigh fading environment [J ] . IEEE Transactions on Vehicular Technology , 1990 , 39 ( 3 ): 187 - 189 .

王李进 , 尹义龙 , 钟一文 . 逐维改进的布谷鸟搜索算法 [J ] . 软件学报 , 2013 , 24 ( 11 ): 2687 - 2698 .

WANG L J , YIN Y L , ZHONG Y W . Improved cuckoo search algorithm by dimension [J ] . Journal of Software , 2013 , 24 ( 11 ): 2687 - 2698 .

浏览量

140

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

大规模MIMO系统中基于权重高斯赛德低复杂度ZF预编码方案

大规模MIMO系统中基于权重二对角迭代的低复杂度预编码

一种基于ADMM的多用户联合的RIS信道估计方案

基于QR分解与波束增益对准的多用户混合预编码设计

基于自注意力机制的大规模MIMO信道状态信息特征向量反馈方法