Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems

Alam Zaib; Mudassir Masood; Anum Ali; Weiyu Xu; Tareq Y Al-Naffouri

doi:10.1109/TCOMM.2016.2593924

Back

Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems

Journal article

Peer reviewed

Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems

Alam Zaib, Mudassir Masood, Anum Ali, Weiyu Xu and Tareq Y Al-Naffouri

IEEE transactions on communications, Vol.64(11), pp.4607-4621

11/2016

DOI: 10.1109/TCOMM.2016.2593924

Files and links (1)

url

https://arxiv.org/pdf/1507.08150View

Open Access

Abstract

By virtue of large antenna arrays, massive MIMO systems have a potential to yield higher spectral and energy efficiency in comparison with the conventional MIMO systems. This paper addresses uplink channel estimation in massive MIMO-OFDM systems with frequency selective channels. We propose an efficient distributed minimum mean square error (MMSE) algorithm that can achieve near optimal channel estimates at low complexity by exploiting the strong spatial correlation among antenna array elements. The proposed method involves solving a reduced dimensional MMSE problem at each antenna followed by a repetitive sharing of information through collaboration among neighboring array elements. To further enhance the channel estimates and/or reduce the number of reserved pilot tones, we propose a data-aided estimation technique that relies on finding a set of most reliable data carriers. Furthermore, we use stochastic geometry to quantify the pilot contamination, and in turn use this information to analyze the effect of pilot contamination on channel MSE. The simulation results validate our analysis and show near optimal performance of the proposed estimation algorithms.

Antenna arrays

Channel estimation

Contamination

Correlation

Estimation

massive MIMO

MIMO

MMSE

OFDM

stochastic geometry

Details

Title: Subtitle: Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems
Creators: Alam Zaib - COMSATS Institute of Information Technology
Mudassir Masood - King Fahd University of Petroleum and Minerals
Anum Ali - University of Texas at Austin
Weiyu Xu - University of Iowa
Tareq Y Al-Naffouri - Dept. of Electr. Eng., King Abdullah Univ. of Sci. & Technol., Thuwal, Saudi Arabia
Resource Type: Journal article
Publication Details: IEEE transactions on communications, Vol.64(11), pp.4607-4621
DOI: 10.1109/TCOMM.2016.2593924
ISSN: 0090-6778
eISSN: 1558-0857
Publisher: IEEE
Grant note: Simons Foundation (10.13039/100000893) OSR-2016-KKI-2899 / King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) (10.13039/501100004052)
Language: English
Date published: 11/2016
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197422302771

Metrics

16 Record Views

35 Times Cited - Web of Science