74 citations · 366 across the 44 of their papers we have counts for
9 papers · 1 filter
Pricing for Reconfigurable Intelligent Surface Aided Wireless Networks: Models and Principles
Yulan Gao, Yue Xiao, Xianfu Lei +5
Owing to the recent advancements of meta-materials and meta-surfaces, the concept of reconfigurable intelligent surface (RIS) has been embraced to meet the spectral- and energy-eff…
One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation
Han Hu, Xingwu Zhu, Fuhui Zhou +3
Semantic communication in the 6G era has been deemed a promising communication paradigm to break through the bottleneck of traditional communications. However, its applications for…
A New Implementation of Federated Learning for Privacy and Security Enhancement
Xiang Ma, Haijian Sun, Rose Qingyang Hu +1
Motivated by the ever-increasing concerns on personal data privacy and the rapidly growing data volume at local clients, federated learning (FL) has emerged as a new machine learni…
Cognitive Semantic Communication Systems Driven by Knowledge Graph
Fuhui Zhou, Yihao Li, Xinyuan Zhang +3
Semantic communication is envisioned as a promising technique to break through the Shannon limit. However, the existing semantic communication frameworks do not involve inference a…
Intelligent Resource Allocations for IRS-Assisted OFDM Communications: A Hybrid MDQN-DDPG Approach
Wei Wu, Fengchun Yang, Fuhui Zhou +3
In this paper, we study the resource allocation problem for an intelligent reflecting surface (IRS)-assisted OFDM system. The system sum rate maximization framework is formulated b…
Energy Efficiency and Delay Tradeoff in an MEC-Enabled Mobile IoT Network
Han Hu, Weiwei Song, Qun Wang +2
Mobile Edge Computing (MEC) has recently emerged as a promising technology in the 5G era. It is deemed an effective paradigm to support computation-intensive and delay critical app…
An Efficient Deep CNN Design for EH Short-Packet Communications in Multihop Cognitive IoT Networks
Toan-Van Nguyen, Thien Huynh-The, Van-Dinh Nguyen +3
In this paper, we design an efficient deep convolutional neural network (CNN) to improve and predict the performance of energy harvesting (EH) short-packet communications in multi-…
Unmanned Aerial Vehicle Swarm-Enabled Edge Computing: Potentials, Promising Technologies, and Challenges
Wei Wu, Fuhui Zhou, Baoyun Wang +3
Unmanned aerial vehicle (UAV) swarm enabled edge computing is envisioned to be promising in the sixth generation wireless communication networks due to their wide application senso…
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
Qun Wang, Haijian Sun, Rose Qingyang Hu +1
The exponential growth of internet connected systems has generated numerous challenges, such as spectrum shortage issues, which require efficient spectrum sharing (SS) solutions. C…