7 citations · 17 across the 80 of their papers we have counts for
21 papers · 1 filter
Deep Learning-Based Traffic-Aware Base Station Sleep Mode and Cell Zooming Strategy in RIS-Aided Multi-Cell Networks
Shuo Sun, Chong Huang, Gaojie Chen +2
Advances in wireless technology have significantly increased the number of wireless connections, leading to higher energy consumption in networks. Among these, base stations (BSs)…
GSM: A GNN-based Space-MIMO Framework for Direct-to-Cell Communications
Sai Xu, Yanan Du, Gaojie Chen +1
This paper proposes a graph neural network (GNN)-based space multiple-input multiple-output (MIMO) framework, named GSM, for direct-to-cell communications, aiming to achieve distri…
EMF-Efficient MU-MIMO Networks: Harnessing Aerial RIS Technology
Mariem Chemingui, Ahmed Elzanaty, Rahim Tafazolli
The rollout of the fifth-generation (5G) networks has raised some concerns about potential health effects from increased exposure to electromagnetic fields (EMF). To address these…
Advanced Nonlinear SCMA Codebook Design Based on Lattice Constellations
Qu Luo, Jing Zhu, Gaojie Chen +2
The design of efficient sparse codebooks in sparse code multiple access (SCMA) system have attracted tremendous research attention in the past few years. This paper proposes a nove…
Generative Semantic Communications with Foundation Models: Perception-Error Analysis and Semantic-Aware Power Allocation
Chunmei Xu, Mahdi Boloursaz Mashhadi, Yi Ma +2
Generative foundation models can revolutionize the design of semantic communication (SemCom) systems allowing high fidelity exchange of semantic information at ultra low rates. In…
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…
A Physical Layer Security Framework for IRS-Assisted Integrated Sensing and Semantic Communication Systems
Hamid Amiriara, Mahtab Mirmohseni, Ahmed Elzanaty +2
In this paper, we propose a physical layer security (PLS) framework for an intelligent reflecting surface (IRS)-assisted integrated sensing and semantic communication (ISASC) syste…
EMF-Aware Waveform for Dual-functional Radar Communication Systems
Mariem Chemingui, Ahmed Elzanaty, Rahim Tafazolli
Emerging dual-functional radar communication(RadCom) systems promise to revolutionize wireless systems by enabling radar sensing and communication on a shared platform, thereby enh…
Generative AI-Enhanced Multi-Modal Semantic Communication in Internet of Vehicles: System Design and Methodologies
Jiayi Lu, Wanting Yang, Zehui Xiong +4
Vehicle-to-everything (V2X) communication supports numerous tasks, from driving safety to entertainment services. To achieve a holistic view, vehicles are typically equipped with m…
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…
Accelerating Iteratively Linear Detectors in Multi-User (ELAA-)MIMO Systems with UW-SVD
Jiuyu Liu, Yi Ma, Jinfei Wang +1
Current iterative multiple-input multiple-output (MIMO) detectors suffer from slow convergence when the wireless channel is ill-conditioned. The ill-conditioning is mainly caused b…
Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models
Wanting Yang, Zehui Xiong, Shiwen Mao +4
The surge in connected devices in 6G with typical complex tasks requiring multi-user cooperation, such as smart agriculture and smart cities, poses significant challenges to unsust…
Wi-Fi Beyond Communications: Experimental Evaluation of Respiration Monitoring and Motion Detection Using COTS Devices
Jiuyu Liu, Yi Ma, Rahim Tafazolli
Wi-Fi sensing has become an attractive option for non-invasive monitoring of human activities and vital signs. This paper explores the feasibility of using state-of-the-art commerc…
Semantic-Aware Power Allocation for Generative Semantic Communications with Foundation Models
Chunmei Xu, Mahdi Boloursaz Mashhadi, Yi Ma +1
Recent advancements in diffusion models have made a significant breakthrough in generative modeling. The combination of the generative model and semantic communication (SemCom) ena…
Multi-Satellite MIMO Systems for Direct User-Satellite Communications: A Survey
Zohre Mashayekh Bakhsh, Yasaman Omid, Gaojie Chen +3
Advancements in satellite technology have made direct-to-device connectivity a viable solution for ensuring global access. This method is designed to provide internet connectivity…
On Stochastic Fundamental Limits in a Downlink Integrated Sensing and Communication Network
Marziyeh Soltani, Mahtab Mirmohseni, Rahim Tafazolli
This paper aims to analyze the stochastic performance of a multiple input multiple output (MIMO) integrated sensing and communication (ISAC) system in a downlink scenario, where a…
Secure Semantic Communication over Wiretap Channel
Denis Kozlov, Mahtab Mirmohseni, Rahim Tafazolli
Semantic communication is a new paradigm for information transmission that integrates the essential meaning (semantics) of the message into the communication process. However, like…
Symmetric Rank- Regularization for Iterative Inversion of Ill-Conditioned MIMO Channels
Jinfei Wang, Yi Ma, Rahim Tafazolli
While iterative matrix inversion methods excel in computational efficiency, memory optimization, and support for parallel and distributed computing when managing large matrices, th…
Near-Field Fading Channel Modeling for ELAAs: From Communication to ISAC
Jiuyu Liu, Yi Ma, Ahmed Elzanaty +1
Extremely large aperture array (ELAA) is anticipated to serve as a pivotal feature of future multiple-input multiple-output (MIMO) systems in 6G. Near-field (NF) fading channel mod…