Data aided channel estimation for massive MIMO with pilot contamination

Meiyan Ju; Lu Xu; Lu Jin; David Huang

doi:10.1109/ICC.2017.7996889

Data aided channel estimation for massive MIMO with pilot contamination

Meiyan Ju
, Lu Xu
, Lu Jin
, David Huang

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

20 Citations (Scopus)

Abstract

This paper presents a modified MMSE channel estimation for turbo equalization in uplink massive multiple-input multiple-output (MIMO) systems with pilot contamination. Unlike other work on channel estimation in massive MIMO systems where perfect knowledge of inter-cell large scale channel coefficients is assumed, a modified method for data-aided MMSE estimation is proposed without requiring the knowledge of intra-cell large scale channel coefficients. Simulation results show that the proposed channel method outperforms the existing pilot-based channel estimators and has little performance loss compared to the existing data-aided estimator requiring the perfect knowledge of inter-cell large scale fading.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications
Editors	David Gesbert, Merouane Debbah, Abdelhamid Mellouk
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	6
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7996889
Publication status	Published - 31 Jul 2017
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 21 May 2017 → 25 May 2017

Conference

Conference	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	21/05/17 → 25/05/17

Access to Document

10.1109/ICC.2017.7996889

Cite this

@inproceedings{f894dd9d3d964b3a8981ba9674f620f5,

title = "Data aided channel estimation for massive MIMO with pilot contamination",

abstract = "This paper presents a modified MMSE channel estimation for turbo equalization in uplink massive multiple-input multiple-output (MIMO) systems with pilot contamination. Unlike other work on channel estimation in massive MIMO systems where perfect knowledge of inter-cell large scale channel coefficients is assumed, a modified method for data-aided MMSE estimation is proposed without requiring the knowledge of intra-cell large scale channel coefficients. Simulation results show that the proposed channel method outperforms the existing pilot-based channel estimators and has little performance loss compared to the existing data-aided estimator requiring the perfect knowledge of inter-cell large scale fading.",

keywords = "Channel estimation, massive multiple-input multiple-output (MIMO), turbo equalization",

author = "Meiyan Ju and Lu Xu and Lu Jin and David Huang",

year = "2017",

month = jul,

day = "31",

doi = "10.1109/ICC.2017.7996889",

language = "English",

editor = "Gesbert, \{David \} and Merouane Debbah and Abdelhamid Mellouk",

booktitle = "2017 IEEE International Conference on Communications",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",

}

Ju, M, Xu, L, Jin, L & Huang, D 2017, Data aided channel estimation for massive MIMO with pilot contamination. in D Gesbert, M Debbah & A Mellouk (eds), 2017 IEEE International Conference on Communications., 7996889, IEEE, Institute of Electrical and Electronics Engineers, 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21/05/17. https://doi.org/10.1109/ICC.2017.7996889

Data aided channel estimation for massive MIMO with pilot contamination. / Ju, Meiyan; Xu, Lu; Jin, Lu et al.
2017 IEEE International Conference on Communications. ed. / David Gesbert; Merouane Debbah; Abdelhamid Mellouk. IEEE, Institute of Electrical and Electronics Engineers, 2017. 7996889.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - Data aided channel estimation for massive MIMO with pilot contamination

AU - Ju, Meiyan

AU - Xu, Lu

AU - Jin, Lu

AU - Huang, David

PY - 2017/7/31

Y1 - 2017/7/31

N2 - This paper presents a modified MMSE channel estimation for turbo equalization in uplink massive multiple-input multiple-output (MIMO) systems with pilot contamination. Unlike other work on channel estimation in massive MIMO systems where perfect knowledge of inter-cell large scale channel coefficients is assumed, a modified method for data-aided MMSE estimation is proposed without requiring the knowledge of intra-cell large scale channel coefficients. Simulation results show that the proposed channel method outperforms the existing pilot-based channel estimators and has little performance loss compared to the existing data-aided estimator requiring the perfect knowledge of inter-cell large scale fading.

AB - This paper presents a modified MMSE channel estimation for turbo equalization in uplink massive multiple-input multiple-output (MIMO) systems with pilot contamination. Unlike other work on channel estimation in massive MIMO systems where perfect knowledge of inter-cell large scale channel coefficients is assumed, a modified method for data-aided MMSE estimation is proposed without requiring the knowledge of intra-cell large scale channel coefficients. Simulation results show that the proposed channel method outperforms the existing pilot-based channel estimators and has little performance loss compared to the existing data-aided estimator requiring the perfect knowledge of inter-cell large scale fading.

KW - Channel estimation

KW - massive multiple-input multiple-output (MIMO)

KW - turbo equalization

UR - https://www.scopus.com/pages/publications/85028346086

U2 - 10.1109/ICC.2017.7996889

DO - 10.1109/ICC.2017.7996889

M3 - Conference paper

AN - SCOPUS:85028346086

BT - 2017 IEEE International Conference on Communications

A2 - Gesbert, David

A2 - Debbah, Merouane

A2 - Mellouk, Abdelhamid

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 2017 IEEE International Conference on Communications, ICC 2017

Y2 - 21 May 2017 through 25 May 2017

ER -

Data aided channel estimation for massive MIMO with pilot contamination

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