4 citations · 24 across the 11 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…
Receiver Design for OTFS with Fractionally Spaced Sampling Approach
Yao Ge, Qinwen Deng, P. C. Ching +1
The recent emergence of orthogonal time frequency space (OTFS) modulation as a novel PHY-layer mechanism is more suitable in high-mobility wireless communication scenarios than tra…
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 Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
Xiongwei Wu, Qiang Li, Xiuhua Li +2
Explosive growth of mobile data demand may impose a heavy traffic burden on fronthaul links of cloud-based small cell networks (C-SCNs), which deteriorates users' quality of servic…