SINR loss and user selection in massive MU-MISO systems with ZFBF

被引：2

作者：

Hu, Mengshi ^{[1
]}

Chang, Yongyu ^{[1
]}

Zeng, Tianyi ^{[1
]}

Wang, Bin ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing, Peoples R China

来源：

ETRI JOURNAL | 2019年 / 41卷 / 05期

关键词：

coefficient of correlation; multiuser multiple-input single-output; signal-to-interference-plus-noise ratio loss; spatial correlation; user selection; RESOURCE-ALLOCATION; MIMO SYSTEMS; PERFORMANCE; COMPLEXITY; PRECODER; FAIRNESS; OFDMA;

D O I：

10.4218/etrij.2018-0376

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Separating highly correlated users can reduce the loss caused by spatial correlation (SC) in multiuser multiple-input multiple-output (MU-MIMO) systems. However, few accurate analyses of the loss caused by SC have been conducted. In this study, we define signal-to-interference-plus-noise ratio (SINR) loss to characterize it in multiuser multiple-input single-output (MU-MISO) systems, and use coefficient of correlation (CoC) to describe the SC between users. A formula is deduced to show the accurate relation between SINR loss and CoC. Based on this relation, we propose a user selection method that utilizes CoC to minimize the average SINR loss of users in massive MU-MISO systems. Simulation results verify the correctness of the relation and show that the proposed user selection method is very effective at reducing the loss caused by SC in massive MU-MISO systems.

引用

页码：637 / 647

页数：11

共 25 条

[1] [Anonymous], 2016, P IEEE WIR COMM NETW
[2] [Anonymous], 36873V1260 3GPP
[3] On the user selection for MIMO broadcast channels
Bayesteh, Alireza
Khandani, Amir K.
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2008, 54 (03) : 1086 - 1107
[4] An Overview on Resource Allocation Techniques for Multi-User MIMO Systems
Castaneda, Eduardo
Silva, Adao
Gameiro, Atilio
Kountouris, Marios
[J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (01): : 239 - 284
[5] Castañeda E, 2014, 2014 21ST INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT), P1, DOI 10.1109/ICT.2014.6845069
[6] Massive MIMO Performance Evaluation Based on Measured Propagation Data
Gao, Xiang
Edfors, Ove
Rusek, Fredrik
Tufvesson, Fredrik
[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (07) : 3899 - 3911
[7] A Comparison of Normalizations for ZF Precoded MU-MIMO Systems in Multipath Fading Channels
Ghosh, Monisha
[J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2013, 2 (05) : 515 - 518
[8] Performance Analysis of Beamforming in MU-MIMO Systems for Rayleigh Fading Channels
Hassan, Ahmad Kamal
Moinuddin, Muhammad
Al-Saggaf, Ubaid M.
Al-Naffouri, Tareq Y.
[J]. IEEE ACCESS, 2017, 5 : 3709 - 3720
[9] Low-complexity user selection method in 3D MU-MIMO systems
Hu, Mengshi
Chang, Yongyu
Xiong, Yi
Zeng, Tianyi
[J]. ELECTRONICS LETTERS, 2018, 54 (20) : 1176 - 1177
[10] Hu MS, 2017, INT SYMP WIREL, P459, DOI 10.1109/WPMC.2017.8301856

← 1 2 3 →