Differential Downlink Transmission in Massive MU-MIMO Systems
In this paper, a differential downlink transmission scheme is proposed for a massive multiple-input multiple-output (MIMO) system without explicit channel estimation. In particular, we use a downlink precoding technique combined with a different encoding scheme to simplify the overall system complex...
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doaj-ba424b21ccca496bac710bf5a3ff89122021-03-29T23:58:16ZengIEEEIEEE Access2169-35362019-01-017869068691910.1109/ACCESS.2019.29253218746761Differential Downlink Transmission in Massive MU-MIMO SystemsFahad Alsifiany0https://orcid.org/0000-0001-5745-858XAissa Ikhlef1Mahmoud Alageli2Jonathon Chambers3School of Engineering, Intelligent Sensing and Communications, Newcastle University, Newcastle upon Tyne, U.K.Department of Engineering, Durham University, Durham, U.K.Faculty of Engineering, Garaboulli, Elmergib University, Garaboulli, LibyaDepartment of Engineering, University of Leicester, Leicester, U.K.In this paper, a differential downlink transmission scheme is proposed for a massive multiple-input multiple-output (MIMO) system without explicit channel estimation. In particular, we use a downlink precoding technique combined with a different encoding scheme to simplify the overall system complexity. A novel precoder is proposed, which, with a large number of transmit antennas, can effectively precancel the multiple access interference (MAI) for each user, thus enhancing the system performance. Maximizing the worst case signal-to-interference-plus-noise ratio (SINR) is used to optimize the precoder for the users in which full power space profile (PSP) knowledge is available to the base station (BS). In addition, we provide two suboptimal solutions based on the matched and the orthogonality approach of the PSP to separate the data streams of multiple users. The decision feedback differential detection (DFDD) technique is employed to further improve the performance. The proposed schemes eliminate the MAI, enhance system performance, and achieve a simple low complexity transmission scheme. Moreover, transmission overheads are significantly reduced using the proposed scheme, since it avoids explicit channel estimation at both ends. The Monte Carlo simulation results demonstrate the effectiveness of the proposed schemes.https://ieeexplore.ieee.org/document/8746761/Massive (MIMO)differential modulationmultiple symbol differential detectionprecoding |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fahad Alsifiany Aissa Ikhlef Mahmoud Alageli Jonathon Chambers |
spellingShingle |
Fahad Alsifiany Aissa Ikhlef Mahmoud Alageli Jonathon Chambers Differential Downlink Transmission in Massive MU-MIMO Systems IEEE Access Massive (MIMO) differential modulation multiple symbol differential detection precoding |
author_facet |
Fahad Alsifiany Aissa Ikhlef Mahmoud Alageli Jonathon Chambers |
author_sort |
Fahad Alsifiany |
title |
Differential Downlink Transmission in Massive MU-MIMO Systems |
title_short |
Differential Downlink Transmission in Massive MU-MIMO Systems |
title_full |
Differential Downlink Transmission in Massive MU-MIMO Systems |
title_fullStr |
Differential Downlink Transmission in Massive MU-MIMO Systems |
title_full_unstemmed |
Differential Downlink Transmission in Massive MU-MIMO Systems |
title_sort |
differential downlink transmission in massive mu-mimo systems |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
In this paper, a differential downlink transmission scheme is proposed for a massive multiple-input multiple-output (MIMO) system without explicit channel estimation. In particular, we use a downlink precoding technique combined with a different encoding scheme to simplify the overall system complexity. A novel precoder is proposed, which, with a large number of transmit antennas, can effectively precancel the multiple access interference (MAI) for each user, thus enhancing the system performance. Maximizing the worst case signal-to-interference-plus-noise ratio (SINR) is used to optimize the precoder for the users in which full power space profile (PSP) knowledge is available to the base station (BS). In addition, we provide two suboptimal solutions based on the matched and the orthogonality approach of the PSP to separate the data streams of multiple users. The decision feedback differential detection (DFDD) technique is employed to further improve the performance. The proposed schemes eliminate the MAI, enhance system performance, and achieve a simple low complexity transmission scheme. Moreover, transmission overheads are significantly reduced using the proposed scheme, since it avoids explicit channel estimation at both ends. The Monte Carlo simulation results demonstrate the effectiveness of the proposed schemes. |
topic |
Massive (MIMO) differential modulation multiple symbol differential detection precoding |
url |
https://ieeexplore.ieee.org/document/8746761/ |
work_keys_str_mv |
AT fahadalsifiany differentialdownlinktransmissioninmassivemumimosystems AT aissaikhlef differentialdownlinktransmissioninmassivemumimosystems AT mahmoudalageli differentialdownlinktransmissioninmassivemumimosystems AT jonathonchambers differentialdownlinktransmissioninmassivemumimosystems |
_version_ |
1724188803687514112 |