Turbo Coded Single User Massive MIMO

This work deals with turbo coded single user massive multiple input multiple output (SU-MMIMO) systems, with and without precoding. SU-MMIMO has a much higher spectral efficiency compared to multi-user massive MIMO (MUMMIMO) since independent signals are transmitted from each of the antenna elements...

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Main Authors: K. Vasudevan, A. Phani Kumar Reddy, Gyanesh Kumar Pathak, Mahmoud Albreem
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2021-10-01
Series:Sensors & Transducers
Subjects:
Online Access:https://sensorsportal.com/HTML/DIGEST/october_2021/Vol_252/P_3236.pdf
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author K. Vasudevan
A. Phani Kumar Reddy
Gyanesh Kumar Pathak
Mahmoud Albreem
author_facet K. Vasudevan
A. Phani Kumar Reddy
Gyanesh Kumar Pathak
Mahmoud Albreem
author_sort K. Vasudevan
collection DOAJ
description This work deals with turbo coded single user massive multiple input multiple output (SU-MMIMO) systems, with and without precoding. SU-MMIMO has a much higher spectral efficiency compared to multi-user massive MIMO (MUMMIMO) since independent signals are transmitted from each of the antenna elements (spatial multiplexing). MU-MMIMO that uses beamforming has a much lower spectral efficiency, since the same signal (with a delay) is transmitted from each of the antenna elements. In this work, expressions for the upper bound on the average signal-to-noise ratio (SNR) per bit and spectral efficiency are derived for SU-MMIMO with and without precoding. We propose a performance index. f(Nt) which is a function of the number of transmit antennas Nt.Here f(Nt), is the sum of the upper bound on the average SNR per bit and the spectral efficiency. We demonstrate that when the total number of antennas (Ntot) in the transmitter and receiver is fixed, there exists a minimum value of f(Nt), which has to be avoided.Computer simulations show that the bit-error-rate (BER) is nearly insensitive to a wide range of the number of transmit antennas and re-transmissions, when Ntot is large and kept constant. Thus, the spectral efficiency can be made as large as possible, for a given BER and Ntot.
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spelling doaj.art-7f45f36a006c4159acec23fa5b5ef94f2023-08-08T15:51:42ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792021-10-0125256575Turbo Coded Single User Massive MIMOK. Vasudevan0A. Phani Kumar Reddy1Gyanesh Kumar Pathak2Mahmoud Albreem3Department of Electrical Engineering, Indian Institute of TechnologyDepartment of Electrical Engineering, Indian Institute of TechnologyDepartment of Electrical Engineering, Indian Institute of TechnologyDepartment of Electrical Engineering, University of SharjahThis work deals with turbo coded single user massive multiple input multiple output (SU-MMIMO) systems, with and without precoding. SU-MMIMO has a much higher spectral efficiency compared to multi-user massive MIMO (MUMMIMO) since independent signals are transmitted from each of the antenna elements (spatial multiplexing). MU-MMIMO that uses beamforming has a much lower spectral efficiency, since the same signal (with a delay) is transmitted from each of the antenna elements. In this work, expressions for the upper bound on the average signal-to-noise ratio (SNR) per bit and spectral efficiency are derived for SU-MMIMO with and without precoding. We propose a performance index. f(Nt) which is a function of the number of transmit antennas Nt.Here f(Nt), is the sum of the upper bound on the average SNR per bit and the spectral efficiency. We demonstrate that when the total number of antennas (Ntot) in the transmitter and receiver is fixed, there exists a minimum value of f(Nt), which has to be avoided.Computer simulations show that the bit-error-rate (BER) is nearly insensitive to a wide range of the number of transmit antennas and re-transmissions, when Ntot is large and kept constant. Thus, the spectral efficiency can be made as large as possible, for a given BER and Ntot.https://sensorsportal.com/HTML/DIGEST/october_2021/Vol_252/P_3236.pdfflat fadingprecodingre-transmissionssingle user massive mimospectral efficiencyturbo codes
spellingShingle K. Vasudevan
A. Phani Kumar Reddy
Gyanesh Kumar Pathak
Mahmoud Albreem
Turbo Coded Single User Massive MIMO
Sensors & Transducers
flat fading
precoding
re-transmissions
single user massive mimo
spectral efficiency
turbo codes
title Turbo Coded Single User Massive MIMO
title_full Turbo Coded Single User Massive MIMO
title_fullStr Turbo Coded Single User Massive MIMO
title_full_unstemmed Turbo Coded Single User Massive MIMO
title_short Turbo Coded Single User Massive MIMO
title_sort turbo coded single user massive mimo
topic flat fading
precoding
re-transmissions
single user massive mimo
spectral efficiency
turbo codes
url https://sensorsportal.com/HTML/DIGEST/october_2021/Vol_252/P_3236.pdf
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AT aphanikumarreddy turbocodedsingleusermassivemimo
AT gyaneshkumarpathak turbocodedsingleusermassivemimo
AT mahmoudalbreem turbocodedsingleusermassivemimo