7 citations · 12 across the 39 of their papers we have counts for
21 papers · 1 filter
LiTCom: A Lightweight Transmitter and Inference-Capable Receiver Framework for 6G Uplink
Chunmei Xu, Siqi Zhang, Zhi Ding +2
This paper introduces LiTCom, a lightweight transmitter and inference-capable receiver framework, designed to enable robust 6G uplink communication under low signal-to-noise (SNR)…
Effective Depth in Joint Source-Channel Coding: An Implicit Equilibrium Analysis
Kaiwen Yu, Gang Wu, Xiaodong Xu +2
A fundamental design question in deep joint source-channel coding (Deep JSCC) remains insufficiently explored: given a channel signal-to-noise ratio (SNR), what effective computati…
IPRU: Input-Perturbation-based Radio Frequency Fingerprinting Unlearning for LAWNs
Ce Liu, Rui Meng, Yinqiu Liu +4
Radio Frequency Fingerprinting (RFF) is a key technology for identity authentication in wireless networks. However, due to the rapid dynamics of Autonomous Aerial Vehicles (AAVs) i…
Low-Complexity Tone Injection via Candidate Ranking for PAPR Reduction in OFDM and AFDM Systems
Yupeng Zheng, Ang Li, Jinfei Wang +2
Tone injection (TI) is a promising distortionless PAPR reduction technique that incurs no spectral efficiency loss. However, state-of-the-art TI schemes based on random candidate g…
Semantic MIMO: Revisiting Linear Precoding in the Generative AI Era
Chunmei Xu, Yi Ma, Rahim Tafazolli
This paper revisits linear precoding, namely match-filter (MF) and zero-forcing (ZF), in a semantic multiple-input multiple-output (MIMO) system empowered by generative AI. The aim…
Advanced Closed-Loop Method with Limited Feedback for ISAC
Ashkan Jafari Fesharaki, Yasser Mestrah, Yi Ma +6
6G wireless networks are poised to seamlessly integrate communication, computing, localization, and sensing functionalities, ensuring high reliability and trustworthiness. This pap…
Inference-Driven Uplink for 6G: Architecture, Principles, and Challenges
Chunmei Xu, Yi Ma, Rahim Tafazolli +1
Next-generation wireless networks (6G) face a critical uplink challenge arising from stringent device-side resource constraints and the growing demand for intelligent services. Thi…
LightCom: A Generative AI-Augmented Framework for QoE-Oriented Communications
Chunmei Xu, Siqi Zhang, Yi Ma +1
Data-intensive and immersive applications, such as virtual reality, impose stringent quality of experience (QoE) requirements that challenge traditional quality of service (QoS)-dr…
Leveraging Bi-Directional Channel Reciprocity for Robust Ultra-Low-Rate Implicit CSI Feedback with Deep Learning
Zhenyu Liu, Yi Ma, Rahim Tafazolli +1
Deep learning-based implicit channel state information (CSI) feedback has been introduced to enhance spectral efficiency in massive MIMO systems. Existing methods often show perfor…
Hybrid Constellation Modulation for Symbol-Level Precoding in RIS-Enhanced MU-MISO Systems
Yupeng Zheng, Yi Ma, Rahim Tafazolli
The application of symbol-level precoding (SLP) in reconfigurable intelligent surfaces (RIS) enhanced multi-user multiple-input single-output (MU-MISO) systems faces two main chall…
Dynamic Resource Allocation in Distributed MIMO-LEO Satellite Networks
Qihao Peng, Qu Luo, Yi Ma +5
This paper characterizes the impacts of channel estimation errors and Rician factors on achievable data rate and investigates the user scheduling strategy, combining scheme, power…
Data-Importance-Aware Power Allocation for Adaptive Semantic Communication in Computer Vision Applications
Chunmei Xu, Yi Ma, Rahim Tafazolli +1
Life-transformative applications such as immersive extended reality are revolutionizing wireless communications and computer vision (CV). This paper presents a novel framework for…
Data-Importance-Aware Waterfilling for Adaptive Real-Time Communication in Computer Vision Applications
Chunmei Xu, Yi Ma, Rahim Tafazolli
This paper presents a novel framework for importance-aware adaptive data transmission, designed specifically for real-time computer vision (CV) applications where task-specific fid…
Importance-Aware Source-Channel Coding for Multi-Modal Task-Oriented Semantic Communication
Yi Ma, Chunmei Xu, Zhenyu Liu +2
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 fulf…
Direct Uplink Connectivity in Space MIMO Systems with THz and FSO Inter-Satellite Links
Zohre Mashayekh Bakhsh, Yasaman Omid, Gaojie Chen +3
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 coop…
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…
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…
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 Chernoff Lower-Bound of Outage Threshold for Non-Central -Distributed Beamforming Gain in URLLC Systems
Jinfei Wang, Yi Ma, Rahim Tafazolli +1
The cumulative distribution function (CDF) of a non-central -distributed random variable (RV) is often used when measuring the outage probability of communication systems. For…
Near and Far Field Model Mismatch: Implications on 6G Communications, Localization, and Sensing
Ahmed Elzanaty, Jiuyu Liu, Anna Guerra +3
The upcoming 6G technology is expected to operate in near-field (NF) radiating conditions thanks to high-frequency and electrically large antenna arrays. Although several studies h…