activity
20182026
most citedDeep Learning without Weight Transport

70 citations · 169 across the 37 of their papers we have counts for

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Showing cs.ITShow all

18 papers · 1 filter

cs.IT2026

Finite-SNR Closed Form for the Square Marčenko-Pastur MIMO Capacity

Mohamed Akrout, Robert W. Heath

For the canonical independent and identically distributed (IID) single-user multiple-input multiple-output (MIMO) channel with full channel state information at the transmitter (CS…

cs.IT2026

Optimality of Bang-Bang Switching for Breaking the Chu Limit via Time-Modulated Matching

Mohamed Akrout, Miguel Rodrigo Castellanos

This paper shows that surpassing the Chu limit on -factors via time-modulated matching requires non-smooth switching strategies. We derive a nonlinear differential condition to…

cs.IT2026

Time-varying Wireless Channel Tracking with Online Parameter Learning via the Birth-Death-Drift Model

Tiancheng Gao, Mohamed Akrout, Faouzi Bellili +1

Accurate massive MIMO channel state information (CSI) acquisition with low pilot overhead is critical in dynamic propagation environments. Exploiting temporal correlation is key to…

cs.IT2026

Power Amplifier-aware Power Allocation for Noise-limited and Distortion-limited Regimes

Achref Tellili, Nathaniel Paul Epperson, Mohamed Akrout

The conventional power allocation strategy via water-filling relies on the premise that the power amplifier (PA) operates sufficiently below saturation such that a linear RF chain…

cs.IT2026

Guided Wireless Technology for Near-Field Communication

Mohamed Akrout, Amine Mezghani, Faouzi Bellili +1

Guided wireless technology is an innovative approach that combines the strengths of guided waves and wireless communication. In traditional wireless systems, signals propagate thro…

cs.IT2025

Information Rates of Approximate Message Passing for Bandlimited Direct-Detection Channels

Daniel Plabst, Mohamed Akrout, Tobias Prinz +2

The capacity of bandlimited direct-detection channels is challenging to compute or approach due to the receiver non-linearity. A generalized vector approximate message passing (GVA…

cs.IT2025

The Tri-Hybrid MIMO Architecture

Robert W. Heath, Joseph Carlson, Nitish Vikas Deshpande +3

We present an evolution of multiple-input multiple-output (MIMO) wireless communications known as the tri-hybrid MIMO architecture. In this framework, the traditional operations of…

cs.IT2024

Unlabeled Compressed Sensing from Multiple Measurement Vectors

Mohamed Akrout, Amine Mezghani, Faouzi Bellili

This paper introduces an algorithmic solution to a broader class of unlabeled sensing problems with multiple measurement vectors (MMV). The goal is to recover an unknown structured…

cs.IT2024

Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model?

Mohamed Akrout, Faouzi Bellili, Amine Mezghani +1

The ongoing fifth-generation (5G) standardization is exploring the use of deep learning (DL) methods to enhance the new radio (NR) interface. Both in academia and industry, researc…

cs.IT2024

Vector Approximate Message Passing With Arbitrary I.I.D. Noise Priors

Mohamed Akrout, Tiancheng Gao, Faouzi Bellili +1

Approximate message passing (AMP) algorithms are devised under the Gaussianity assumption of the measurement noise vector. In this work, we relax this assumption within the vector…

cs.IT2023

From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer

Mohamed Akrout, Amine Mezghani, Ekram Hossain +2

Most research studies on deep learning (DL) applied to the physical layer of wireless communication do not put forward the critical role of the accuracy-generalization trade-off in…

cs.IT2023

Physically Consistent Models for Intelligent Reflective Surface-assisted Communications under Mutual Coupling and Element Size Constraint

Mohamed Akrout, Faouzi Bellili, Amine Mezghani +1

We investigate the benefits of mutual coupling effects between the passive elements of intelligent reconfigurable surfaces (IRSs) on maximizing the achievable rate of downlink Inte…

cs.IT2022

Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study

Mohamed Akrout, Amal Feriani, Faouzi Bellili +2

With the proliferation of deep learning techniques for wireless communication, several works have adopted learning-based approaches to solve the channel estimation problem. While t…

cs.IT2022

Super-Wideband Massive MIMO

Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili +2

We present a unified model for connected antenna arrays with a large number of tightly integrated (i.e., coupled) antennas in a compact space within the context of massive multiple…

cs.IT2021

Achievable Rate of Near-Field Communications Based on Physically Consistent Models

Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili +2

This paper introduces a novel information-theoretic approach for studying the effects of mutual coupling (MC), between the transmit and receive antennas, on the overall performance…

cs.IT2020

Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode

Volodymyr Shyianov, Mohamed Akrout, Faouzi Bellili +2

Using ideas from Chu and Bode/Fano theories, we characterize the maximum achievable rate over the single-input single-output wireless communication channels under a restriction on…

cs.IT2020★ 5 cited

Bilinear Generalized Vector Approximate Message Passing

Mohamed Akrout, Anis Housseini, Faouzi Bellili +1

We introduce the bilinear generalized vector approximate message passing (BiG-VAMP) algorithm which jointly recovers two matrices U and V from their noisy product through a probabi…

cs.IT2020★ 6 cited

Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design

Yasser Al-Eryani, Mohamed Akrout, Ekram Hossain

We propose a multiple-input multiple-output (MIMO)-based full-duplex (FD) scheme that enables wireless devices to simultaneously transmit information and harvest energy using the s…