355 citations · 890 across the 67 of their papers we have counts for
19 papers · 1 filter
RIS-Aided ISAC in Cluttered Environments
Yosefine Triwidyastuti, Tri Nhu Do, Ngo Hoang Tu +1
In this paper, we analyze the performance of a communication-optimized reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) system operatin…
Beamforming for Massive MIMO Aerial Communications: A Robust and Scalable DRL Approach
Hesam Khoshkbari, Georges Kaddoum, Omid Abbasi +2
This paper presents a distributed beamforming framework for a constellation of airborne platform stations (APSs) in a massive Multiple-Input and Multiple-Output (MIMO) non-terrestr…
Domain Adaptation-Enabled Realistic Map-Based Channel Estimation for MIMO-OFDM
Thien Hieu Hoang, Tri Nhu Do, Georges Kaddoum
Accurate channel estimation is crucial for the improvement of signal processing performance in wireless communications. However, traditional model-based methods frequently experien…
Beyond Diagonal RIS for ISAC Network: Statistical Analysis and Network Parameter Estimation
Thanh Luan Nguyen, Georges Kaddoum, Bassant Selim +1
This paper investigates the use of beyond diagonal reconfigurable intelligent surface (BD-RIS) with elements to advance integrated sensing and communication (ISAC). We address…
Coordinated Half-Duplex/Full-Duplex Cooperative Rate-Splitting Multiple Access in Multi-Cell Networks
Mohamed Elhattab, Shreya Khisa, Chadi Assi +3
This paper explores downlink Cooperative Rate-Splitting Multiple Access (C-RSMA) in a multi-cell wireless network with the assistance of Joint-Transmission Coordinated Multipoint (…
Multi-IRS-aided Terahertz Networks: Channel Modelling and User Association With Imperfect CSI
Muddasir Rahim, Thanh Luan Nguyen, Georges Kaddoum +1
Terahertz (THz) communication is envisioned as one of the candidate technologies for future wireless communications to enable achievable data rates of up to several terabits per se…
DRL-Based Dynamic Channel Access and SCLAR Maximization for Networks Under Jamming
Abdul Basit, Muddasir Rahim, Georges Kaddoum +2
This paper investigates a deep reinforcement learning (DRL)-based approach for managing channel access in wireless networks. Specifically, we consider a scenario in which an intell…
Joint Devices and IRSs Association for Terahertz Communications in Industrial IoT Networks
Muddasir Rahim, Georges Kaddoum, Tri Nhu Do
The Industrial Internet of Things (IIoT) enables industries to build large interconnected systems utilizing various technologies that require high data rates. Terahertz (THz) commu…
Channel Characterization of UAV-RIS-aided Systems with Adaptive Phase-shift Configuration
Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do +1
This letter considers a UAV aiding communication between a ground transmitter and a ground receiver in the presence of co-channel interference. A discrete-time Markov process is ad…
Statistical Characterization of RIS-assisted UAV Communications in Terrestrial and Non-Terrestrial Networks Under Channel Aging
Thanh Luan Nguyen, Georges Kaddoum, Tri Nhu Do +1
This paper studies the statistical characterization of ground-to-air (G2A) and reconfigurable intelligent surface (RIS)-assisted air-to-ground (A2G) communications with unmanned ae…
User Association Optimization for IRS-aided Terahertz Networks: A Matching Theory Approach
Muddasir Rahim, Thanh Luan Nguyen, Georges Kaddoum +1
Terahertz (THz) communication is a promising technology for future wireless communications, offering data rates of up to several terabits-per-second (Tbps). However, the range of T…
Making Sense of Meaning: A Survey on Metrics for Semantic and Goal-Oriented Communication
Tilahun M. Getu, Georges Kaddoum, Mehdi Bennis
Semantic communication (SemCom) aims to convey the meaning behind a transmitted message by transmitting only semantically-relevant information. This semantic-centric design helps t…
Performance Limits of a Deep Learning-Enabled Text Semantic Communication under Interference
Tilahun M. Getu, Walid Saad, Georges Kaddoum +1
Although deep learning (DL)-enabled semantic communication (SemCom) has emerged as a 6G enabler by minimizing irrelevant information transmission -- minimizing power usage, bandwid…
Performance Analysis of Multi-user NOMA Wireless-Powered mMTC Networks: A Stochastic Geometry Approach
Thanh-Luan Nguyen, Tri Nhu Do, Georges Kaddoum
In this paper, we aim to improve the connectivity, scalability, and energy efficiency of machine-type communication (MTC) networks with different types of MTC devices (MTCDs), name…
Deep Chaos Synchronization
Majid Mobini, Georges Kaddoum
In this study, we address the problem of chaotic synchronization over a noisy channel by introducing a novel Deep Chaos Synchronization (DCS) system using a Convolutional Neural Ne…
Lightwave Power Transfer for Federated Learning-based Wireless Networks
Ha-Vu Tran, Georges Kaddoum, Hany Elgala +2
Federated Learning (FL) has been recently presented as a new technique for training shared machine learning models in a distributed manner while respecting data privacy. However, i…
Effect of Impulsive Noise on Uplink NOMA Systems
Bassant Selim, Md Sahabul Alam, Georges Kaddoum +1
Non-orthogonal multiple access (NOMA) was recently proposed as a viable technology that can potentially provide the spectral efficiency, low latency, and massive connectivity requi…
A Novel Relay Selection Strategy of Cooperative Network Impaired by Bursty Impulsive Noise
Md Sahabul Alam, Georges Kaddoum, Basile L. Agba
Best relay selection (BRS) is crucial in enhancing the performance of cooperative networks. In contrast to most previous works, where the guidelines for BRS are limited to Gaussian…
Performance Analysis of DF Cooperative Relaying over Bursty Impulsive Noise Channel
Md Sahabul Alam, Fabrice Labeau, Georges Kaddoum
In this article, we consider the performance analysis of a decode-and-forward (DF) cooperative relaying (CR) scheme over channels impaired by bursty impulsive noise. Although, Midd…