46 citations · 118 across the 33 of their papers we have counts for
6 papers · 1 filter
Federated Contrastive Learning for Personalized Semantic Communication
Yining Wang, Wanli Ni, Wenqiang Yi +3
In this letter, we design a federated contrastive learning (FedCL) framework aimed at supporting personalized semantic communication. Our FedCL enables collaborative training of lo…
Generative AI for Integrated Sensing and Communication: Insights from the Physical Layer Perspective
Jiacheng Wang, Hongyang Du, Dusit Niyato +4
As generative artificial intelligence (GAI) models continue to evolve, their generative capabilities are increasingly enhanced and being used extensively in content generation. Bey…
Sensing-assisted Accurate and Fast Beam Management for Cellular-connected mmWave UAV Network
Yanpeng Cui, Qixun Zhang, Zhiyong Feng +4
Beam management, including initial access (IA) and beam tracking, is essential to the millimeter-wave Unmanned Aerial Vehicle (UAV) network. However, conventional communication-onl…
Location Tracking for Reconfigurable Intelligent Surfaces Aided Vehicle Platoons: Diverse Sparsities Inspired Approaches
Yuanbin Chen, Ying Wang, Xufeng Guo +2
In this paper, we investigate the employment of reconfigurable intelligent surfaces (RISs) into vehicle platoons, functioning in tandem with a base station (BS) in support of the h…
Scalable Multi-task Semantic Communication System with Feature Importance Ranking
Jiangjing Hu, Fengyu Wang, Wenjun Xu +2
Semantic communications are expected to be an innovative solution to the emerging intelligent applications in the era of connected intelligence. In this paper, a novel scalable mul…
Semantic Communication for Internet of Vehicles: A Multi-User Cooperative Approach
Wenjun Xu, Yimeng Zhang, Fengyu Wang +3
Internet of Vehicles (IoV) is expected to become the central infrastructure to provide advanced services to connected vehicles and users for higher transportation efficiency and se…