research-article
Authors: Sarah M. Imam and Ahmed E. El-Mahdy
Volume 63, Issue C
Published: 25 June 2024 Publication History
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Abstract
The receiver’s architecture is always a critical issue in multiple-input multiple-output (MIMO) systems, as it has a great impact on the system’s performance and complexity. Accordingly, in this paper, a spectral decomposition-based minimum mean squared error (MMSE) receiver is proposed in an uplink multi-user MIMO (MU-MIMO) system with a full-duplex decode and forward relay. Imperfect channel state information is assumed at the relay and base station where, least-squares channel estimation technique is applied due to its simplicity and low complexity. An equivalent relay is applied for self-interference cancellation. While, multi-user interference is mitigated by using the block diagonalization concept. A closed-form expression for the mean squared error (MSE) of the estimated data symbol is derived in the presence of channel estimation error. Moreover, an optimization problem is solved to derive an expression for the proposed MMSE receiver’s matrix. Finally, the performance of the proposed receiver is compared to that of the conventional receiver and Zero-forcing (ZF) receiver. Results show the superiority of the proposed receiver over both receivers.
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Information
Published In
Physical Communication Volume 63, Issue C
Apr 2024
409 pages
ISSN:1874-4907
Issue’s Table of Contents
Elsevier B.V.
Publisher
Elsevier Science Publishers B. V.
Netherlands
Publication History
Published: 25 June 2024
Author Tags
- BD
- Cooperative communications
- Hermitian matrix
- LS channel estimation
- MIMO
- MMSE
- Optimization
- Spectral decomposition
- ZF
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