103 citations · 257 across the 14 of their papers we have counts for
6 papers · 1 filter
Deep Reinforcement Learning for IoT Networks: Age of Information and Energy Cost Tradeoff
Xiongwei Wu, Xiuhua Li, Jun Li +2
In most Internet of Things (IoT) networks, edge nodes are commonly used as to relays to cache sensing data generated by IoT sensors as well as provide communication services for da…
Caching Transient Content for IoT Sensing: Multi-Agent Soft Actor-Critic
Xiongwei Wu, Xiuhua Li, Jun Li +3
Edge nodes (ENs) in Internet of Things commonly serve as gateways to cache sensing data while providing accessing services for data consumers. This paper considers multiple ENs tha…
Multi-Agent Reinforcement Learning for Cooperative Coded Caching via Homotopy Optimization
Xiongwei Wu, Jun Li, Ming Xiao +2
Introducing cooperative coded caching into small cell networks is a promising approach to reducing traffic loads. By encoding content via maximum distance separable (MDS) codes, co…
Latency-Minimized Design of Secure Transmissions in UAV-Aided Communications
Xiongwei Wu, Qiang Li, Yawei Lu +3
Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations to provide communication service for remote mobile users due to their high mobility and flexible deployment.…
Joint Fronthaul Multicast and Cooperative Beamforming for Cache-Enabled Cloud-Based Small Cell Networks: An MDS Codes-Aided Approach
Xiongwei Wu, Qiang Li, Victor C. M. Leung +1
The performance of cloud-based small cell networks (C-SCNs) relies highly on a capacity-limited fronthaul, which degrade quality of service when it is saturated. Coded caching is a…
Joint Long-Term Cache Allocation and Short-Term Content Delivery in Green Cloud Small Cell Networks
Xiongwei Wu, Qiang Li, Xiuhua Li +2
Recent years have witnessed an exponential growth of mobile data traffic, which may lead to a serious traffic burn on the wireless networks and considerable power consumption. Netw…