3 citations · 10 across the 4 of their papers we have counts for
7 papers
Age of Semantics in Cooperative Communications: To Expedite Simulation Towards Real via Offline Reinforcement Learning
Xianfu Chen, Zhifeng Zhao, Shiwen Mao +3
The age of information metric fails to correctly describe the intrinsic semantics of a status update. In an intelligent reflecting surface-aided cooperative relay communication sys…
FedGraph: Federated Graph Learning with Intelligent Sampling
Fahao Chen, Peng Li, Toshiaki Miyazaki +1
Federated learning has attracted much research attention due to its privacy protection in distributed machine learning. However, existing work of federated learning mainly focuses…
Distributed Spectrum and Power Allocation for D2D-U Networks: A Scheme based on NN and Federated Learning
Rui Yin, Zhiqun Zou, Celimuge Wu +2
In this paper, a Device-to-Device communication on unlicensed bands (D2D-U) enabled network is studied. To improve the spectrum efficiency (SE) on the unlicensed bands and fit its…
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
Xianfu Chen, Celimuge Wu, Tao Chen +5
This paper studies the problem of information freshness-aware task offloading in an air-ground integrated multi-access edge computing system, which is deployed by an infrastructure…
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective
Xianfu Chen, Celimuge Wu, Mehdi Bennis +2
This paper studies the problem of non-cooperative radio resource scheduling in a vehicle-to-vehicle communication network. The technical challenges lie in high vehicle mobility and…
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
Xianfu Chen, Zhifeng Zhao, Celimuge Wu +4
With the cellular networks becoming increasingly agile, a major challenge lies in how to support diverse services for mobile users (MUs) over a common physical network infrastructu…