39 citations · 48 across the 25 of their papers we have counts for
27 papers
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…
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…
Capacity Based Design of Slot Array Antennas
Volodymyr Shyianov, Bamelak Tadele, Vladimir I. Okhmatovski +2
Historically, the design of antenna arrays has evolved separately from Shannon theory. Shannon theory adopts a probabilistic approach in the design of communication systems, while…
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…
Lens-Type Redirective Intelligent Surfaces for Multi-User MIMO Communication
Bamelak Tadele, Faouzi Bellili, Amine Mezghani +2
This paper explores the idea of using redirective reconfigurable intelligent surfaces (RedRIS) to overcome many of the challenges associated with the conventional reflective RIS. W…
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…
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…
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…
Channel Estimation for Multicarrier Systems with Tightly-Coupled Broadband Arrays
Bamelak Tadele, Volodymyr Shyianov, Faouzi Bellili +1
This paper develops a linear minimum mean-square error (LMMSE) channel estimator for single and multicarrier systems that takes advantage of the mutual coupling in antenna arrays.…
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout, Amal Feriani, Faouzi Bellili +2
Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generations wireless systems. This led to a large body of research work that applies ML…
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…
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…
Nonlocal Reconfigurable Intelligent Surfaces for Wireless Communication: Modeling and Physical Layer Aspects
Amine Mezghani, Faouzi Bellili, Ekram Hossain
Conventional Reconfigurable intelligent surfaces (RIS) for wireless communications have a local position-dependent (phase-gradient) scattering response on the surface. We consider…
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…
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…
Optimizing Binary Symptom Checkers via Approximate Message Passing
Mohamed Akrout, Faouzi Bellili, Amine Mezghani +1
Symptom checkers have been widely adopted as an intelligent e-healthcare application during the ongoing pandemic crisis. Their performance have been limited by the fine-grained qua…
Modulating Intelligent Surfaces for Multi-User MIMO Systems: Beamforming and Modulation Design
Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani +1
This paper introduces a novel approach of utilizing the reconfigurable intelligent surface (RIS) for joint data modulation and signal beamforming in a multi-user downlink cellular…
Joint Active and Passive Beamforming Design for IRS-Assisted Multi-User MIMO Systems: A VAMP-Based Approach
Haseeb Ur Rehman, Faouzi Bellili, Amine Mezghani +1
This paper tackles the problem of joint active and passive beamforming optimization for an intelligent reflective surface (IRS)-assisted multi-user downlink multiple-input multiple…
Massive MIMO with Dense Arrays and 1-bit Data Converters
Amine Mezghani, Faouzi Bellili, Robert W. Heath
We consider wireless communication systems with compact planar arrays having densely spaced antenna elements in conjunction with one-bit analog-to-digital and digital-to-analog con…
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…
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…
Age-Limited Capacity of Massive MIMO
Bamelak Tadele, Volodymyr Shyianov, Faouzi Bellili +2
We investigate the age-limited capacity of the Gaussian many channel with total users, out of which a random subset of users are active in any transmission period, and…
Massive Unsourced Random Access Based on Uncoupled Compressive Sensing: Another Blessing of Massive MIMO
Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani +1
We put forward a new algorithmic solution to the massive unsourced random access (URA) problem, by leveraging the rich spatial dimensionality offered by large-scale antenna arrays.…
Generalized Approximate Message Passing for Massive MIMO mmWave Channel Estimation with Laplacian Prior
Faouzi Bellili, Foad Sohrabi, Wei Yu
This paper tackles the problem of millimeter-Wave (mmWave) channel estimation in massive MIMO communication systems. A new Bayes-optimal channel estimator is derived using recent a…