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Amine Mezghani
Researcher at University of Manitoba
Publications - 177
Citations - 3556
Amine Mezghani is an academic researcher from University of Manitoba. The author has contributed to research in topics: MIMO & Precoding. The author has an hindex of 29, co-authored 158 publications receiving 2869 citations. Previous affiliations of Amine Mezghani include Technische Universität München & University of Texas at Austin.
Papers
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Journal ArticleDOI
Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems
TL;DR: In this paper, the authors proposed an approach for channel estimation that is applicable for both flat and frequency-selective fading, based on the Bussgang decomposition that reformulates the nonlinear quantizer as a linear function with identical first and second-order statistics.
Proceedings ArticleDOI
On Ultra-Wideband MIMO Systems with 1-bit Quantized Outputs: Performance Analysis and Input Optimization
Amine Mezghani,Josef A. Nossek +1 more
TL;DR: This paper considers the extreme case of only 1-bit ADC for each receive signal component, and shows that QPSK is, up to the second order, the best among all distributions with independent components in the low signal-to-noise ratio regime.
Proceedings ArticleDOI
Transmit processing with low resolution D/A-converters
TL;DR: The transmitter optimization for the flat multi-input multi-output (MIMO) channel under nonlinear distortion from the digital-to-analog converters (DACs) is studied, taking into account the effects of the transmitter nonlinearities.
Proceedings ArticleDOI
Analysis of Rayleigh-fading channels with 1-bit quantized output
Amine Mezghani,Josef A. Nossek +1 more
TL;DR: This paper considers multi-input multi-output (MIMO) Rayleigh-fading channels with coarsely quantized outputs, where the channel is unknown to the transmitter and receiver, and shows that on-off QPSK signaling is the capacity achieving distribution.
Journal ArticleDOI
Downlink Achievable Rate Analysis in Massive MIMO Systems With One-Bit DACs
TL;DR: It is shown that, compared with conventional massive MIMO systems, the performance loss in one-bit massive M IMO systems can be compensated for by deploying approximately 2.5 times more antennas at the BS.