A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
This paper provides a comprehensive survey of the integration of graph neural networks
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
Task offloading decision-making algorithm for vehicular edge computing: a deep-reinforcement-learning-based approach
W Shi, L Chen, X Zhu - Sensors, 2023 - mdpi.com
Efficient task offloading decision is a crucial technology in vehicular edge computing, which
aims to fulfill the computational performance demands of complex vehicular tasks with …
aims to fulfill the computational performance demands of complex vehicular tasks with …
Large-scale service function chaining management and orchestration in smart city
In the core networking of smart cities, mobile network operators need solutions to reflect
service function chaining (SFC) orchestration policies while ensuring efficient resource …
service function chaining (SFC) orchestration policies while ensuring efficient resource …
Joint AP Selection and Task Offloading Based on Deep Reinforcement Learning for Urban-Micro Cell-Free UAV Network
The flexible mobility feature of unmanned aerial vehicles (UAVs) leads to frequent
handovers and serious inter-cell interference problems in UAV-assisted cellular networks …
handovers and serious inter-cell interference problems in UAV-assisted cellular networks …
QoS-Driven Slicing Management for Vehicular Communications
Network slicing is introduced for elastically instantiating logical network infrastructure
isolation to support different application types with diversified quality of service (QoS) class …
isolation to support different application types with diversified quality of service (QoS) class …
Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT
Internet of Things (IoT) devices can integrate with applications requiring intensive contextual
data processing, intelligent vehicle control, healthcare remote sensing, VR, data mining …
data processing, intelligent vehicle control, healthcare remote sensing, VR, data mining …
Joint Optimization of Resource Utilization, Latency and UAV Trajectory in the Power Information Acquisition System
Y Xiao, X Jin, B Huang, J Feng, Z Kong - Electronics, 2023 - mdpi.com
In order to reduce the peak–valley difference of the power grid load, reasonably arrange
users' electricity consumption time and realize the intelligent management of the power grid …
users' electricity consumption time and realize the intelligent management of the power grid …