2 citations · 3 across the 22 of their papers we have counts for
24 papers
Beyond Task Relevance: Interaction-Aware Semantic Communication for Wireless Agent Collaboration
Yiru Wang, Pengxin Guan, Xiumei Deng +1
Semantic communication in multi-agent systems often assumes that task-relevant information benefits the team once delivered. Yet semantic sharing can alter the receiver's decision…
Toward Generative Video Communication: A Dual-Stream Digital Transmission Framework
Bingyan Xie, Longyu Zhou, Tianhao Liang +4
Generative video communication has shown promise for bandwidth-constrained wireless transmission and has the potential to support personalized content delivery. In this article, we…
Edge-Native Embodied Intelligence for Action-Aware Wireless Edge Networks
Yiru Wang, Chuanao Jiang, Jiahui Cui +4
Embodied intelligence is shifting artificial intelligence from passive digital perception toward active physical interaction. However, foundation-model-enabled embodied agents face…
Multimodal Large Language Model Enabled Robust Beamforming for HAP Downlink Communications
Xiaoyu Xing, Peng Yang, Guoquan Tao +3
Small changes in high altitude platform (HAP) attitude can cause significant deviations in HAP downlink beam directions, thereby severely degrading HAP downlink communication perfo…
Generative AI Agent Empowered Power Allocation for HAP Propulsion and Communication Systems
Xiaoyu Xing, Dingyi Lu, Peng Yang +3
High altitude platforms (HAPs) are emerging as a key enabler for 6G coverage, yet limited energy must be split between propulsion and communications. Most prior HAP studies ignore…
Adaptive Plug-and-Play Channel Estimation with Consistency Models for MIMO Systems
Jinlong Li, Kexin Fang, Peng Yang +3
This paper proposes a consistency-model-based channel estimation algorithm for multiple-input multiple-output (MIMO) systems. The proposed algorithm employs a consistency model (CM…
DRL-driven Online Optimization for Joint Traffic Reshaping and Channel Reconfiguration in RIS-assisted Semantic NOMA Communications
Songhan Zhao, Shimin Gong, Bo Gu +3
This paper explores a reconfigurable intelligent surface (RIS)-assisted and semantic-aware wireless network, where multiple semantic users (SUs) transmit semantic information to an…
Generative Artificial Intelligence Assisted Multi-modal Semantic Extraction for NOMA-based Image Transmissions
Songhan Zhao, Shimin Gong, Bo Gu +4
In this paper, we investigate a generative artificial intelligence (GAI)-assisted semantic communication framework for non-orthogonal multiple access (NOMA)-based image transmissio…
Enhancing Mega-Satellite Networks with Generative Semantic Communication: A Networking Perspective
Binquan Guo, Wanting Yang, Zehui Xiong +5
The advance of direct satellite-to-device communication has positioned mega-satellite constellations as a cornerstone of 6G wireless communication, enabling seamless global connect…
Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC)
Nan Li, Wanting Yang, Marie Siew +4
Diffusion models (DMs) have emerged as powerful tools for high-quality content generation, yet their intensive computational requirements for inference pose challenges for resource…
Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access
Jiayi Lu, Wanting Yang, Zehui Xiong +4
With the booming development of generative artificial intelligence (GAI), semantic communication (SemCom) has emerged as a new paradigm for reliable and efficient communication. Th…
Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation
Zhaoyang Li, Qianqian Yang, Zehui Xiong +2
Accurate channel prediction is essential in massive multiple-input multiple-output (m-MIMO) systems to improve precoding effectiveness and reduce the overhead of channel state info…
Hybrid Reinforcement Learning-based Sustainable Multi-User Computation Offloading for Mobile Edge-Quantum Computing
Minrui Xu, Dusit Niyato, Jiawen Kang +5
Exploiting quantum computing at the mobile edge holds immense potential for facilitating large-scale network design, processing multimodal data, optimizing resource management, and…
Entropy-and-Channel-Aware Adaptive-Rate Semantic Communication with MLLM-Aided Feature Compensation
Weixuan Chen, Qianqian Yang, Yuhao Chen +4
Despite the transmission efficiency gains of semantic communication (SemCom) over traditional methods, most existing SemCom schemes still operate at a fixed transmission rate regar…
Connection Performance Modeling and Analysis of a Radiosonde Network in a Typhoon
Hanyi Liu, Xianbin Cao, Peng Yang +3
This paper is concerned with the theoretical modeling and analysis of uplink connection performance of a radiosonde network deployed in a typhoon. Similar to existing works, the st…
Efficient Multi-user Offloading of Personalized Diffusion Models: A DRL-Convex Hybrid Solution
Wanting Yang, Zehui Xiong, Song Guo +3
With the impressive generative capabilities of diffusion models, personalized content synthesis has emerged as the most highly anticipated. However, the large model sizes and itera…
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…
Pilot-Aided Joint Time Synchronization and Channel Estimation for OTFS
Jiazheng Sun, Peng Yang, Xianbin Cao +3
This letter proposes a pilot-aided joint time synchronization and channel estimation (JTSCE) algorithm for orthogonal time frequency space (OTFS) systems. Unlike existing algorithm…
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…
FAST: Flexible and Adaptive Semantic Transmission for Resource-constrained Multi-user Generative Semantic Communication
Yiru Wang, Wanting Yang, Fangli Mou +4
The rapid advancement of generative artificial intelligence has spurred innovative approaches to semantic communication, giving rise to a new paradigm known as generative semantic…
Harnessing the Power of AI-Generated Content for Semantic Communication
Yiru Wang, Wanting Yang, Zehui Xiong +3
Semantic Communication (SemCom) is envisaged as the next-generation paradigm to address challenges stemming from the conflicts between the increasing volume of transmission data an…
Streamlined Transmission: A Semantic-Aware XR Deployment Framework Enhanced by Generative AI
Wanting Yang, Zehui Xiong, Tony Q. S. Quek +1
In the era of 6G, featuring compelling visions of digital twins and metaverses, Extended Reality (XR) has emerged as a vital conduit connecting the digital and physical realms, gar…
Agent-driven Generative Semantic Communication with Cross-Modality and Prediction
Wanting Yang, Zehui Xiong, Yanli Yuan +3
In the era of 6G, with compelling visions of intelligent transportation systems and digital twins, remote surveillance is poised to become a ubiquitous practice. Substantial data v…
Semantic Change Driven Generative Semantic Communication Framework
Wanting Yang, Zehui Xiong, Hongyang Du +2
The burgeoning generative artificial intelligence technology offers novel insights into the development of semantic communication (SemCom) frameworks. These frameworks hold the pot…