Rahim Tafazolli
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View article: FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training
FlowMoE: A Scalable Pipeline Scheduling Framework for Distributed Mixture-of-Experts Training Open
The parameter size of modern large language models (LLMs) can be scaled up via the sparsely-activated Mixture-of-Experts (MoE) technique to avoid excessive increase of the computational costs. To further improve training efficiency, pipeli…
View article: Secure Semantic Communication over Wiretap Channels: Rate-Distortion-Equivocation Tradeoff
Secure Semantic Communication over Wiretap Channels: Rate-Distortion-Equivocation Tradeoff Open
This paper investigates an information-theoretic model of secure semantic-aware communication. For this purpose, we consider the lossy joint source-channel coding (JSCC) of a memoryless semantic source transmitted over a memoryless wiretap…
View article: Enhancing Mega-Satellite Networks with Generative Semantic Communication: A Networking Perspective
Enhancing Mega-Satellite Networks with Generative Semantic Communication: A Networking Perspective Open
The advance of direct satellite-to-device communication has positioned mega-satellite constellations as a cornerstone of 6G wireless communication, enabling seamless global connectivity even in remote and underserved areas. However, spectr…
View article: LO-Aware Adaptive Modulation for Rydberg Atomic Receivers
LO-Aware Adaptive Modulation for Rydberg Atomic Receivers Open
Rydberg atomic (RA) receivers represent a revolutionary quantum technology for wireless communications, offering unprecedented sensitivity beyond conventional radio frequency (RF) antennas. However, these receivers detect only signal ampli…
View article: Secure Integrated Sensing and Communication Networks: Stochastic Performance Analysis
Secure Integrated Sensing and Communication Networks: Stochastic Performance Analysis Open
This paper analyzes the stochastic security performance of a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system in a downlink scenario. A base station (BS) transmits a multi-functional signal to simult…
View article: Hybrid Generative Semantic and Bit Communications in Satellite Networks: Trade-offs in Latency, Generation Quality, and Computation
Hybrid Generative Semantic and Bit Communications in Satellite Networks: Trade-offs in Latency, Generation Quality, and Computation Open
As satellite communications play an increasingly important role in future wireless networks, the issue of limited link budget in satellite systems has attracted significant attention in current research. Although semantic communications em…
View article: LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications
LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications Open
Data-intensive and immersive applications, such as virtual reality, impose stringent quality of experience (QoE) requirements that challenge traditional quality of service (QoS)-driven communication systems. This paper presents LightCom, a…
View article: Leveraging Bi-Directional Channel Reciprocity for Robust Ultra-Low-Rate Implicit CSI Feedback with Deep Learning
Leveraging Bi-Directional Channel Reciprocity for Robust Ultra-Low-Rate Implicit CSI Feedback with Deep Learning Open
Deep learning-based implicit channel state information (CSI) feedback has been introduced to enhance spectral efficiency in massive MIMO systems. Existing methods often show performance degradation in ultra-low-rate scenarios and inadaptab…
View article: Joint Beamforming and Position Optimization for Fluid STAR-RIS-NOMA Assisted Wireless Communication Systems
Joint Beamforming and Position Optimization for Fluid STAR-RIS-NOMA Assisted Wireless Communication Systems Open
To address the limitations of traditional reconfigurable intelligent surfaces (RIS) in spatial control capability, this paper introduces the concept of the fluid antenna system (FAS) and proposes a fluid simultaneously transmitting and ref…
View article: Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access
Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access Open
With the booming development of generative artificial intelligence (GAI), semantic communication (SemCom) has emerged as a new paradigm for reliable and efficient communication. This paper considers a multi-user downlink SemCom system, usi…
View article: Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission
Channel-adaptive Cross-modal Generative Semantic Communication for Point Cloud Transmission Open
With the rapid development of autonomous driving and extended reality, efficient transmission of point clouds (PCs) has become increasingly important. In this context, we propose a novel channel-adaptive cross-modal generative semantic com…
View article: On Stochastic Performance Analysis of Secure Integrated Sensing and Communication Networks
On Stochastic Performance Analysis of Secure Integrated Sensing and Communication Networks Open
This paper analyzes the stochastic security performance of a multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system in a downlink scenario. A base station (BS) transmits a multi-functional signal to simult…
View article: PLS-Assisted Offloading for Edge Computing-Enabled Post-Quantum Security in Resource-Constrained Devices
PLS-Assisted Offloading for Edge Computing-Enabled Post-Quantum Security in Resource-Constrained Devices Open
With the advent of post-quantum cryptography (PQC) standards, it has become imperative for resource-constrained devices (RCDs) in the Internet of Things (IoT) to adopt these quantum-resistant protocols. However, the high computational over…
View article: Effects of Linear Modulation of Electrotactile Signals Using a Novel Device on Sensation Naturalness and Perceptual Intensity
Effects of Linear Modulation of Electrotactile Signals Using a Novel Device on Sensation Naturalness and Perceptual Intensity Open
Electrotactile feedback is a promising method for delivering haptic sensations, but challenges such as the naturalness of sensations hinder its adoption in commercial devices. In this study, we introduce a novel device that enables the exp…
View article: Importance-Aware Source-Channel Coding for Multi-Modal Task-Oriented Semantic Communication
Importance-Aware Source-Channel Coding for Multi-Modal Task-Oriented Semantic Communication Open
This paper explores the concept of information importance in multi-modal task-oriented semantic communication systems, emphasizing the need for high accuracy and efficiency to fulfill task-specific objectives. At the transmitter, generativ…
View article: Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications
Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications Open
In this paper, we introduce token communications (TokCom), a large model-driven framework to leverage cross-modal context information in generative semantic communications (GenSC). TokCom is a new paradigm, motivated by the recent success …
View article: ELAA-ISAC: Environmental Mapping Utilizing the LoS State of Communication Channel
ELAA-ISAC: Environmental Mapping Utilizing the LoS State of Communication Channel Open
In this paper, a novel environmental mapping method is proposed to outline the indoor layout utilizing the line-of-sight (LoS) state information of extremely large aperture array (ELAA) channels. It leverages the spatial resolution provide…
View article: Near-Field Localization with Physics-Compliant Electromagnetic Model: Algorithms and Model Mismatch Analysis
Near-Field Localization with Physics-Compliant Electromagnetic Model: Algorithms and Model Mismatch Analysis Open
Accurate signal localization is critical for Internet of Things applications, but precise propagation models are often unavailable due to uncontrollable factors. Simplified models such as planar and spherical wavefront approximations are w…
View article: Direct Uplink Connectivity in Space MIMO Systems with THz and FSO Inter-Satellite Links
Direct Uplink Connectivity in Space MIMO Systems with THz and FSO Inter-Satellite Links Open
This paper investigates uplink transmission from a single-antenna mobile phone to a cluster of satellites, emphasizing the role of inter-satellite links (ISLs) in facilitating cooperative signal detection. The study focuses on non-ideal IS…
View article: Secured Communication Schemes for UAVs in 5G: CRYSTALS-Kyber and IDS
Secured Communication Schemes for UAVs in 5G: CRYSTALS-Kyber and IDS Open
This paper introduces a secure communication architecture for Unmanned Aerial Vehicles (UAVs) and ground stations in 5G networks, addressing critical challenges in network security. The proposed solution integrates the Advanced Encryption …
View article: The Emergence of Multi-Functional and Hybrid Reconfigurable Intelligent Surfaces for Integrated Sensing and Communications - A Survey
The Emergence of Multi-Functional and Hybrid Reconfigurable Intelligent Surfaces for Integrated Sensing and Communications - A Survey Open
International audience
View article: Intelligent Control in 6G Open RAN: Security Risk or Opportunity?
Intelligent Control in 6G Open RAN: Security Risk or Opportunity? Open
The Open Radio Access Network (Open RAN) framework, emerging as the cornerstone for Artificial Intelligence (AI)-enabled Sixth-Generation (6G) mobile networks, heralds a transformative shift in radio access network architecture. As the ado…
View article: A Measurement-Based Power Consumption Model for Networks With Intelligent Control (RIC)
A Measurement-Based Power Consumption Model for Networks With Intelligent Control (RIC) Open
Open Radio Access Network (Open RAN) triggers a shift towards multi-vendor deployments with increased programmability, flexibility, and intelligence. Still, several critical questions remain unanswered, particularly regarding Open RAN's im…
View article: Deep Learning-Based Traffic-Aware Base Station Sleep Mode and Cell Zooming Strategy in RIS-Aided Multi-Cell Networks
Deep Learning-Based Traffic-Aware Base Station Sleep Mode and Cell Zooming Strategy in RIS-Aided Multi-Cell Networks Open
Advances in wireless technology have significantly increased the number of wireless connections, leading to higher energy consumption in networks. Among these, base stations (BSs) in radio access networks (RANs) account for over half of th…
View article: AMC-Based Miniaturized Waveguide With Reconfigurable Pass-Bands Below Cut-Off Frequency and Quasi-TEM Mode
AMC-Based Miniaturized Waveguide With Reconfigurable Pass-Bands Below Cut-Off Frequency and Quasi-TEM Mode Open
This work introduces an innovative miniaturized transverse electromagnetic (TEM) waveguide design, which is 60% smaller than conventional metal waveguides. The proposed waveguide offers two distinct electronically reconfigurable passbands …