Communication-Efficient Federated Deep Reinforcement Learning based Cooperative Edge Caching in Fog Radio Access Networks
In this paper, the cooperative edge caching problem is studied in fog radio access networks (F-RANs). Given the non-deterministic polynomial hard (NP-hard) […]
Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6 G Mobile Networks
Network slices are generally coupled with services and face service continuity/unavailability concerns due to the high mobility and dynamic requests from users. […]
6G Fresnel Spot Beamfocusing using Large-Scale Metasurfaces: A Distributed DRL-Based Approach
We propose a novel approach to smart spot-beamforming (SBF) in the Fresnel zone leveraging extremely large-scale programmable metasurfaces (ELPMs). A smart SBF […]
Federated Deep Reinforcement Learning for Prediction-Based Network Slice Mobility in 6 G Mobile Networks
Network slices are generally coupled with services and face service continuity/unavailability concerns due to the high mobility and dynamic requests from users. […]
6G Fresnel Spot Beamfocusing using Large-Scale Metasurfaces: A Distributed DRL-Based Approach
We propose a novel approach to smart spot-beamforming (SBF) in the Fresnel zone leveraging extremely large-scale programmable metasurfaces (ELPMs). A smart SBF […]
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models
The age of information (AoI) is used to measure the freshness of the data. In IoT networks, the traditional resource management schemes […]
Joint Content Update and Transmission Resource Allocation for Energy-Efficient Edge Caching of High Definition Map
Caching the high definition map (HDM) on the edge network can significantly alleviate energy consumption of the roadside sensors frequently conducting the […]
A Federated Deep Reinforcement Learning-Based Trust Model in Underwater Acoustic Sensor Networks
Underwater acoustic sensor networks (UASNs) have been widely deployed in many areas, such as marine ranching, naval applications, and marine disaster warning […]
Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Recharge
In many emerging Internet of Things (IoT) applications, the freshness of the is an important design criterion. Age of Information (AoI) quantifies […]
ACK-Less Rate Adaptation Using Distributional Reinforcement Learning for Reliable IEEE 802.11bc Broadcast WLANs
As a step towards establishing reliable broadcast wireless local area networks (WLANs) this paper proposes acknowledgement (ACK)-less rate adaptation to alleviate reception […]