2 citations · 3 across the 22 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…