19 citations · 25 across the 21 of their papers we have counts for
7 papers · 1 filter
Energy-Efficient Probabilistic Semantic Communication over Space-Air-Ground Integrated Networks
Zhouxiang Zhao, Zhaohui Yang, Mingzhe Chen +3
Space-air-ground integrated networks (SAGINs) are emerging as a pivotal element in the evolution of future wireless networks. Despite their potential, the joint design of communica…
Complex-Valued Neural Network based Federated Learning for Multi-user Indoor Positioning Performance Optimization
Hanzhi Yu, Yuchen Liu, Mingzhe Chen
In this article, the use of channel state information (CSI) for indoor positioning is studied. In the considered model, a server equipped with several antennas sends pilot signals…
A Joint Communication and Computation Framework for Digital Twin over Wireless Networks
Zhaohui Yang, Mingzhe Chen, Yuchen Liu +1
In this paper, the problem of low-latency communication and computation resource allocation for digital twin (DT) over wireless networks is investigated. In the considered model, m…
Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook
Bruno Clerckx, Yijie Mao, Zhaohui Yang +7
Multiple access (MA) is a crucial part of any wireless system and refers to techniques that make use of the resource dimensions to serve multiple users/devices/machines/services, i…
GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning
Jiacheng Yao, Zhaohui Yang, Wei Xu +2
Due to the dynamics of wireless environment and limited bandwidth, wireless federated learning (FL) is challenged by frequent transmission errors and incomplete aggregation from de…
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach
Yining Wang, Mingzhe Chen, Tao Luo +4
In this paper, a semantic communication framework is proposed for textual data transmission. In the studied model, a base station (BS) extracts the semantic information from textua…