7 citations · 17 across the 80 of their papers we have counts for
33 papers · 1 filter
From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity
Yu Ma, Zhen Gao, Li Qiao +11
The ambitious requirements of sixth-generation (6G) networks are driving communication systems from reliable bit delivery toward meaning-aware and task-oriented connectivity. Large…
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…
Configuration Tuning for ISAC: Cost-Efficient Adaptation via RACE-CMA
Ashkan Jafari Fesharaki, Yasser Mestrah, Ibrahim Hemadeh +6
This paper studies a feedback driven configuration tuning framework for adaptive sensing feedback in Integrated Sensing and Communication (ISAC) systems. We propose a framework in…
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…
Towards Semantic-based Agent Communication Networks: Vision, Technologies, and Challenges
Ping Zhang, Rui Meng, Xiaodong Xu +24
The International Telecommunication Union (ITU) identifies "Artificial Intelligence (AI) and Communication" as one of six key usage scenarios for 6G. Agentic AI, characterized by i…
Joint Optimization of Flexible Antenna Array Shape and Beamforming for Secure Communication
Zhen Xu, Gaojie Chen, Jing Zhu +4
Flexible antenna arrays (FAAs) can physically reshape their geometry to add new spatial degrees of freedom, whereas transmit beamforming adjusts the complex element weights to elec…
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…
Joint Beamforming and Position Optimization for FIRES-NOMA Assisted Wireless Communication Systems
Yu Liu, Qu Luo, Gaojie Chen +4
To address the limitations of conventional reconfigurable intelligent surfaces (RIS) in spatial control capability, this paper proposes a fluid integrated reflecting and emitting s…
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…
Single Sparse Graph Enhanced Expectation Propagation Algorithm Design for Uplink MIMO-SCMA
Qu Luo, Jing Zhu, Gaojie Chen +2
Sparse code multiple access (SCMA) and multiple input multiple output (MIMO) are considered as two efficient techniques to provide both massive connectivity and high spectrum effic…
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…
Near-Field Localization with Physics-Compliant Electromagnetic Model: Algorithms and Model Mismatch Analysis
Alexandr M. Kuzminskiy, Ahmed Elzanaty, Gabriele Gradoni +2
Accurate signal localization is critical for Internet of Things applications, but precise propagation models are often unavailable due to uncontrollable factors. Simplified models…
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…
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…