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Differential Downlink Transmission in Massive MU-MIMO Systems

Alsifiany, Fahad; Ikhlef, Aissa; Alageli, Mahmoud; Chambers, Jonathon

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Fahad Alsifiany

Mahmoud Alageli

Jonathon Chambers


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.


Alsifiany, F., Ikhlef, A., Alageli, M., & Chambers, J. (2019). Differential Downlink Transmission in Massive MU-MIMO Systems. IEEE Access, 7, 86906-86919.

Journal Article Type Article
Acceptance Date Jun 22, 2019
Online Publication Date Jun 26, 2019
Publication Date Jun 26, 2019
Deposit Date Jun 25, 2019
Publicly Available Date Aug 2, 2019
Journal IEEE Access
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 7
Pages 86906-86919


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