RESEARCH ARTICLE


Data Detection in Single User Massive MIMO Using Re-Transmissions



K. Vasudevan*, K. Madhu, Shivani Singh
Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur UP, 208016, India

Article Information


Identifiers and Pagination:

Year: 2019
Volume: 6
First Page: 15
Last Page: 26
Publisher Id: TOSIGPJ-6-15
DOI: 10.2174/1876825301906010015

Article History:

Received Date: 31/10/2018
Revision Received Date: 28/1/2019
Acceptance Date: 22/02/2019
Electronic publication date: 29/03/2019
Collection year: 2019

© 2019 Vasudevan et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur UP, 208016, India; Tel: +915122590063; Fax: +915122597109; E-mail: vasu@iitk.ac.in


Abstract

Background:

Single user Massive Multiple Input Multiple Output (MIMO) can be used to increase the spectral efficiency since the data is transmitted simultaneously from a large number of antennas located at both the base station and mobile. It is feasible to have a large number of antennas in the mobile, in the millimeter wave frequencies. However, the major drawback of single user massive MIMO is the high complexity of data recovery at the receiver.

Methods:

In this work, we propose a low complexity method of data detection with the help of re-transmissions. A turbo code is used to improve the Bit-Error-Rate (BER).

Results and Conclusion:

Simulation results indicate a significant improvement in BER with just two re-transmissions as compared to the single transmission case. We also show that the minimum average SNR per bit required for error-free propagation over a massive MIMO channel with re-transmissions is identical to that of the Additive White Gaussian Noise (AWGN) channel, which is equal to -1.6 dB.

Keywords: Channel capacity, Massive MIMO, Turbo codes, BER, AWGN, Data detection.