7 citations · 12 across the 39 of their papers we have counts for
39 papers
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)…
Demo: Real-time Generative Multicasting with On-Device Intent-aware Semantic Decomposition
Xinkai Liu, Mahdi Boloursaz Mashhadi, Yi Ma +1
We present a demonstration for generative multicasting with on-device, intent-aware semantic decomposition. At the transmitter, DNN-based segmentation extracts a semantic map from…
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…
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…
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…
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…
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…
Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective
Rui Meng, Zhidi Zhang, Song Gao +9
Intellicise (Intelligent and Concise) wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across a…
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…
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…
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)…
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…
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…
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…
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…
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…