254 citations · 993 across the 32 of their papers we have counts for
5 papers · 2 filters
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…
Multipath Transmission Scheduling in Millimeter Wave Cloud Radio Access Networks
Xianfu Chen, Pei Liu, Hang Liu +2
Millimeter wave (mmWave) communications provide great potential for next-generation cellular networks to meet the demands of fast-growing mobile data traffic with plentiful spectru…
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…
Deep Reinforcement Learning for Resource Management in Network Slicing
Rongpeng Li, Zhifeng Zhao, Qi Sun +5
Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices. In order to provide better-perf…
Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning
Xianfu Chen, Honggang Zhang, Celimuge Wu +3
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is emerging as a promising paradigm by providing computing capabilities within radi…