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Efficient Coordinated Recovery of Sparse Channels in Massive MIMO

massive MIMO
Abstract: 

We tackle the problem of estimating sparse channels in massive MIMO-OFDM systems.
The code of our algorithms could be downloaded from Prof. Tareq Al-Naffouri's website http://faculty.kfupm.edu.sa/ee/naffouri/publications/demo_massiveMIMO.zip (340)
or from MATLAB File Exchange http://goo.gl/P19F1Y

Most wireless channels are sparse in nature with large delay spread. In addition, these channels as observed by multiple antennas in a neighborhood have approximately common support. The sparsity and common support properties are attractive when it comes to the efficient estimation of large number of channels in massive MIMO systems. Moreover, to avoid pilot contamination and to achieve better spectral efficiency, it is important to use a small number of pilots. We present a novel channel estimation approach which utilizes the sparsity and common support properties to estimate sparse channels and requires a small number of pilots. Two algorithms based on this approach have been developed which perform Bayesian estimates of sparse channels even when the prior is non-Gaussian or unknown. Neighboring antennas share among each other their beliefs about the locations of active channel taps to perform estimation. The coordinated approach improves channel estimates and also reduces the required number of pilots. Further improvement is achieved by the data-aided version of the algorithm. Extensive simulation results are provided to demonstrate the performance of the proposed algorithms.

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Paper Details

Authors:
Mudassir Masood, Laila H. Afify, Tareq Y. Al-Naffouri
Submitted On:
30 March 2016 - 2:47pm
Short Link:
Type:
Whitepaper
Event:
Presenter's Name:
Mudassir Masood
Document Year:
2015
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Document Files

massiveMIMOcode.v1.pdf

(521)

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[1] Mudassir Masood, Laila H. Afify, Tareq Y. Al-Naffouri, "Efficient Coordinated Recovery of Sparse Channels in Massive MIMO", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1049. Accessed: Aug. 03, 2020.
@article{1049-16,
url = {http://sigport.org/1049},
author = {Mudassir Masood; Laila H. Afify; Tareq Y. Al-Naffouri },
publisher = {IEEE SigPort},
title = {Efficient Coordinated Recovery of Sparse Channels in Massive MIMO},
year = {2016} }
TY - EJOUR
T1 - Efficient Coordinated Recovery of Sparse Channels in Massive MIMO
AU - Mudassir Masood; Laila H. Afify; Tareq Y. Al-Naffouri
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1049
ER -
Mudassir Masood, Laila H. Afify, Tareq Y. Al-Naffouri. (2016). Efficient Coordinated Recovery of Sparse Channels in Massive MIMO. IEEE SigPort. http://sigport.org/1049
Mudassir Masood, Laila H. Afify, Tareq Y. Al-Naffouri, 2016. Efficient Coordinated Recovery of Sparse Channels in Massive MIMO. Available at: http://sigport.org/1049.
Mudassir Masood, Laila H. Afify, Tareq Y. Al-Naffouri. (2016). "Efficient Coordinated Recovery of Sparse Channels in Massive MIMO." Web.
1. Mudassir Masood, Laila H. Afify, Tareq Y. Al-Naffouri. Efficient Coordinated Recovery of Sparse Channels in Massive MIMO [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1049