Computationally Efficient Maximum Likelihood Channel Estimation for Coarsely Quantized Massive MIMO Systems

被引：10

作者：

Liu, Fangqing ^{[1
]}

Shang, Xiaolei ^{[1
]}

Cheng, Yuanbo ^{[1
]}

Zhang, Guoyang ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230027, Anhui, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2022年 / 26卷 / 02期

关键词：

Maximum likelihood estimation; Channel estimation; Massive MIMO; Quantization (signal); Signal processing algorithms; Convex functions; Convergence; Low-resolution analog-to-digital converters (ADCs); massive multiple-input multiple-output (MIMO) communications; maximum likelihood (ML) channel estimation; majorization-minimization (MM); ALGORITHM; WIRELESS; UPLINK;

D O I：

10.1109/LCOMM.2021.3133705

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We consider computationally efficient maximum likelihood (ML) channel estimation for massive multiple-input multiple-output (MIMO) systems using coarsely quantized measurements obtained from low-resolution analog-to-digital converters (ADCs) at the receivers. We first devise a computationally efficient ML estimator (referred to as CQML) by using the cyclic optimization and majorization-minimization (MM) techniques. Then, we show the connections between CQML and the conventional unquantized ML estimator. Numerical examples are provided to demonstrate the effectiveness and computational efficiency of the proposed channel estimation algorithm.

引用

页码：444 / 448

页数：5

共 50 条

[41] Efficient Performance Bound for Channel Estimation in Massive MIMO Receiver
Osinsky, Alexander
Ivanov, Andrey
Yarotsky, Dmitry
[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (11) : 7001 - 7010
[42] Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves
Pesce, Lorenzo L.
Metz, Charles E.
[J]. ACADEMIC RADIOLOGY, 2007, 14 (07) : 814 - 829
[43] Energy efficient channel estimation in MIMO systems
Yatawatta, S
Petropulu, AP
Graff, CJ
[J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 317 - 320
[44] On the Use of Channel Models and Channel Estimation Techniques for Massive MIMO Systems
Kuerbis, Martin
Balasubramanya, Naveen Mysore
Lampe, Lutz
Lampe, Alexander
[J]. 2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2016, : 823 - 827
[45] Maximum Likelihood Method for MIMO Mobile-to-mobile Channel Parameter Estimation
Zajic, Alenka G.
Stueber, Gordon L.
[J]. GLOBECOM 2008 - 2008 IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, 2008,
[46] MMSE Detection for 1-bit Quantized Massive MIMO with Imperfect Channel Estimation
Abdallah, Asmaa
Mansour, Mohammad M.
Chehab, Ali
Jalloul, Louay M. A.
[J]. 2018 IEEE 19TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2018, : 241 - 245
[47] Efficient maximum likelihood detector for MIMO systems with small number of streams
Lomnitz, Y.
Andelman, D.
[J]. ELECTRONICS LETTERS, 2007, 43 (22) : 1212 - 1214
[48] Maximum likelihood channel estimation and signal detection for OFDM systems
Chen, P
Kobayashi, F
[J]. 2002 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2002, : 1640 - 1645
[49] Taming the Complexity of mm-Wave Massive MIMO Systems: Efficient Channel Estimation and Beamforming
Montagner, Stefano
Benvenuto, Nevio
Tomasin, Stefano
[J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW), 2015, : 1251 - 1256
[50] Basis Expansion Model Based Spectral Efficient Channel Estimation Scheme for Massive MIMO Systems
Wang, Xuesi
Wang, Jintao
He, Longzhuang
Song, Jian
[J]. 2017 13TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC), 2017, : 2062 - 2067

← 1 2 3 4 5 →