Effective Channel Blind Estimation in Cell-Free Massive MIMO Networks

被引：8

作者：

Souza, Daynara D. ^{[1
]}

Freitas, Marx M. M. ^{[1
]}

Borges, Gilvan S. ^{[2
]}

Cavalcante, Andre M. ^{[3
]}

da Costa, Daniel B. ^{[4
,5
]}

Costa, Joao C. W. A. ^{[1
]}

机构：

[1] Fed Univ Para UFPA, Appl Electromagnetism Lab, BR-66075110 Belem, Para, Brazil

[2] Fed Inst Para IFPA, Dept Educ Control & Ind Proc, Informat & Commun, BR-66093020 Belem, Para, Brazil

[3] Ericsson Telecomunicacoes SA, Ericsson Res, BR-13337300 Indaiatuba, Brazil

[4] Natl Yunlin Univ Sci & Technol, Future Technol Res Ctr, Touliu 64002, Yunlin, Taiwan

[5] Univ Fed Ceara, Dept Comp Engn, BR-62010560 Sobral, Brazil

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2022年 / 11卷 / 03期

关键词：

Channel estimation; Estimation; Massive MIMO; Antennas; Precoding; Coherence; Contamination; Blind estimation; cell-free massive MIMO networks; effective channel estimation; statistical CSI;

D O I：

10.1109/LWC.2021.3132418

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter investigates the performance of a new blind method for effective channel estimation in user-centric cell-free massive multiple-input multiple-output (MIMO) networks. To this end, comparisons with the perfect and statistical channel state information (CSI) methods are performed assuming different precoding choices. The results demonstrate that blind estimation can significantly reduce normalized mean-square error and improve spectral efficiency compared with the statistical CSI method. Additionally, blind estimation works even when the asymptotic arguments that inspire the algorithm do not hold, performs reasonably well in the presence of pilot contamination, and can boost the performance of systems using maximum-ratio (MR) precoding.

引用

页码：468 / 472

页数：5

共 50 条

[1] Joint Activity Detection and Channel Estimation in Cell-Free Massive MIMO Networks With Massive Connectivity
Guo, Mangqing
Gursoy, M. Cenk
[J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (01) : 317 - 331
[2] Downlink channel estimation in FDD cell-free massive MIMO
Han, Tongzhou
Zhao, Danfeng
[J]. PHYSICAL COMMUNICATION, 2022, 52
[3] Effective Channel DL Pilot-Based Estimation in User-Centric Cell-Free Massive MIMO Networks
Souza, Daynara D.
Freitas, Marx M. M.
Daniel, B. Da Costa Y.
Borges, Gilvan S.
Cavalcante, Andre Mendes
Valcarenghi, Luca
Costa, Joao C. Weyl Albuquerque
[J]. 2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), 2022, : 705 - 710
[4] New Insights on Channel Hardening in Cell-Free Massive MIMO Networks
Alvarez Polegre, Alberto
Riera-Palou, Felip
Femenias, Guillem
Garcia Armada, Ana
[J]. 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS), 2020,
[5] Channel Estimation for Cell-Free mmWave Massive MIMO Through Deep Learning
Jin, Yu
Zhang, Jiayi
Jin, Shi
Ai, Bo
[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (10) : 10325 - 10329
[6] Joint Differentially Private Channel Estimation in Cell-free Hybrid Massive MIMO
Xu, Jun
Wang, Xiaodong
Zhu, Pengcheng
You, Xiaohu
[J]. 2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2021, : 479 - 484
[7] Joint Learning of Channel Estimation and Beamforming for Cell-Free Massive MIMO Systems
Chen, Yijie
Xia, Wenchao
Zhang, Jun
Zhu, Yongxu
[J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (05) : 1359 - 1363
[8] BLIND ESTIMATION OF EFFECTIVE DOWNLINK CHANNEL GAINS IN MASSIVE MIMO
Hien Quoc Ngo
Larsson, Erik G.
[J]. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 2015, : 2919 - 2923
[9] Efficient Enhanced K-Means Clustering for Semi-Blind Channel Estimation of Cell-Free Massive MIMO
Huang, Xuefeng
Zhu, Xu
Jiang, Yufei
Liu, Yujie
[J]. ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2020,
[10] Privacy-Preserving Channel Estimation in Cell-Free Hybrid Massive MIMO Systems
Xu, Jun
Wang, Xiaodong
Zhu, Pengcheng
You, Xiaohu
[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (06) : 3815 - 3830

← 1 2 3 4 5 →