7 citations · 17 across the 80 of their papers we have counts for
32 papers · 1 filter
Fundamental Limits of Random Downlink Integrated Sensing and Communication over Rician Channels
Marziyeh Soltani, Mahtab Mirmohseni, Rahim Tafazolli +1
This paper studies the stochastic performance of a downlink multiple-input multiple-output integrated sensing and communication (ISAC) system over Rician fading channels. Rician fa…
Hybrid Bit and Semantic Communications for UAV-Enabled Wireless Power Transfer Networks: A Decision-Assisted Deep Reinforcement Learning Approach
Jingfu Li, Jingjing Cui, Chong Huang +5
Semantic communications which can significantly reduce spectrum consumption in wireless networks, have recently become a popular research area. When combined with wireless power tr…
Secure Joint Source-Channel Coding of Multimodal Semantic Sources
Denis Kozlov, Mahtab Mirmohseni, Rahim Tafazolli
We study the problem of secure joint source-channel coding for multimodal semantic sources transmitted over noisy wiretap channels. The source model consists of modalities (e.g…
Reliable Remote Inference from Unreliable Components: Joint Communication and Computation Limits
Zhenyu Liu, Yi Ma, Rahim Tafazolli
Classical information theory typically assumes reliable receiver-side processing. We study remote inference when communication is noisy and the receiver itself is built from unreli…
Region-Based Constellation Designs for Constructive Interference Precoding in MU-MIMO
Yupeng Zheng, Chunmei Xu, Jinfei Wang +2
The performance of constructive interference precoding (CIP) for multi-user multi-antenna (MU-MIMO) systems is governed by the structure of the constructive interference (CI) regio…
Video TokenCom: Textual Intent-Guided Multi-Rate Video Token Communications with UEP-Based Adaptive Source-Channel Coding
Jingxuan Men, Mahdi Boloursaz Mashhadi, Ning Wang +3
Token Communication (TokenCom) is a new paradigm, motivated by the recent success of Large AI Models (LAMs) and Multimodal Large Language Models (MLLMs), where tokens serve as unif…
Semantic Transmission Framework in Direct Satellite Communications
Chong Huang, Xuyang Chen, Jingjing Cui +4
Insufficient link budget has become a bottleneck problem for direct access in current satellite communications. In this paper, we develop a semantic transmission framework for dire…
Phase-Rotated Symbol Spreading for Scalable Rydberg Atomic-MIMO Detection
Jiuyu Liu, Yi Ma, Rahim Tafazolli
Multiple-input multiple-output (MIMO) systems using Rydberg atomic (RA) receivers face significant scalability challenges in signal detection due to their nonlinear signal models.…
Large Artificial Intelligence Models for Future Wireless Communications
Chong Huang, Gaojie Chen, Pei Xiao +2
The anticipated integration of large artificial intelligence (AI) models with wireless communications is estimated to usher a transformative wave in the forthcoming information age…
Resi-VidTok: An Efficient and Decomposed Progressive Tokenization Framework for Ultra-Low-Rate and Lightweight Video Transmission
Zhenyu Liu, Yi Ma, Rahim Tafazolli +1
Real-time transmission of video over wireless networks remains highly challenging, even with advanced deep models, particularly under severe channel conditions such as limited band…
Secure Semantic Communication over Wiretap Channels: Rate-Distortion-Equivocation Tradeoff
Denis Kozlov, Mahtab Mirmohseni, Rahim Tafazolli
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 memor…
Deep Learning-Based Rate-Adaptive CSI Feedback for Wideband XL-MIMO Systems in the Near-Field Domain
Zhenyu Liu, Yi Ma, Rahim Tafazolli
Accurate and efficient channel state information (CSI) feedback is crucial for unlocking the substantial spectral efficiency gains of extremely large-scale MIMO (XL-MIMO) systems i…
LO-Aware Adaptive Modulation for Rydberg Atomic Receivers
Jiuyu Liu, Yi Ma, Rahim Tafazolli
Rydberg atomic (RA) receivers represent a revolutionary quantum technology for wireless communications, offering unprecedented sensitivity beyond conventional radio frequency (RF)…
Secure Integrated Sensing and Communication Networks: Stochastic Performance Analysis
Marziyeh Soltani, Mahtab Mirmohseni, Rahim Tafazolli
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…
Hybrid Generative Semantic and Bit Communications in Satellite Networks: Trade-offs in Latency, Generation Quality, and Computation
Chong Huang, Gaojie Chen, Jing Zhu +4
As satellite communications play an increasingly important role in future wireless networks, the issue of limited link budget in satellite systems has attracted significant attenti…
Cluster-Aware Two-Stage Method for Fast Iterative MIMO Detection in LEO Satellite Communications
Jiuyu Liu, Yi Ma, Qihao Peng +1
In this paper, a cluster-aware two-stage multiple-input multiple-output (MIMO) detection method is proposed for direct-to-cell satellite communications. The method achieves computa…
SA-MIMO: Scalable Quantum-Based Wireless Communications
Jiuyu Liu, Yi Ma, Rahim Tafazolli
Rydberg atomic receivers offer a quantum-native alternative to conventional RF front-ends by directly detecting electromagnetic fields via highly excited atomic states. While their…
ResiTok: A Resilient Tokenization-Enabled Framework for Ultra-Low-Rate and Robust Image Transmission
Zhenyu Liu, Yi Ma, Rahim Tafazolli
Real-time transmission of visual data over wireless networks remains highly challenging, even when leveraging advanced deep neural networks, particularly under severe channel condi…
On Stochastic Performance Analysis of Secure Integrated Sensing and Communication Networks
Marziyeh Soltani, Mahtab Mirmohseni, Rahim Tafazolli
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…
ELAA-ISAC: Environmental Mapping Utilizing the LoS State of Communication Channel
Jiuyu Liu, Chunmei Xu, Yi Ma +2
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 (…
Communicate Less, Synthesize the Rest: Latency-aware Intent-based Generative Semantic Multicasting with Diffusion Models
Xinkai Liu, Mahdi Boloursaz Mashhadi, Li Qiao +3
Generative diffusion models (GDMs) have recently shown great success in synthesizing multimedia signals with high perceptual quality, enabling highly efficient semantic communicati…
Generalizing Deep Learning-Based CSI Feedback in Massive MIMO via ID-Photo-Inspired Preprocessing
Zhenyu Liu, Yi Ma, Rahim Tafazolli
Deep learning (DL)-based channel state information (CSI) feedback has shown great potential in improving spectrum efficiency in massive MIMO systems. However, DL models optimized f…
Generative Semantic Communication via Textual Prompts: Latency Performance Tradeoffs
Mengmeng Ren, Li Qiao, Long Yang +6
This paper develops an edge-device collaborative Generative Semantic Communications (Gen SemCom) framework leveraging pre-trained Multi-modal/Vision Language Models (M/VLMs) for ul…
Fast Iterative ELAA-MIMO Detection Exploiting Static Channel Components
Jiuyu Liu, Yi Ma, Rahim Tafazolli
Extremely large aperture array (ELAA) is a promising multiple-input multiple-output (MIMO) technique for next generation mobile networks. In this paper, we propose two novel approa…