Cooperative edge caching based on elastic federated and multi-agent deep reinforcement learning in next-generation networks
Edge caching is a promising solution for next-generation networks by empowering caching
units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' …
units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' …
[HTML][HTML] Joint Optimization of Age of Information and Energy Consumption in NR-V2X System Based on Deep Reinforcement Learning
As autonomous driving may be the most important application scenario of the next
generation, the development of wireless access technologies enabling reliable and low …
generation, the development of wireless access technologies enabling reliable and low …
Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
This work aims to investigate semantic communication in high-speed mobile Internet of
vehicles (IoV) environments, with a focus on the spectrum sharing between vehicle-to …
vehicles (IoV) environments, with a focus on the spectrum sharing between vehicle-to …
Social Attributes Based Information-Centric Vehicular Cloud Data Delivery Framework
X Wang, X You - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the increasing complexity and diversity of road-safety data, the Vehicular Ad hoc
NETwork (VANET) suffers from the following limitations:(1) An individual vehicle with limited …
NETwork (VANET) suffers from the following limitations:(1) An individual vehicle with limited …
Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks
Reconfigurable Intelligent Surface (RIS) is a pivotal technology in communication, offering
an alternative path that significantly enhances the link quality in wireless communication …
an alternative path that significantly enhances the link quality in wireless communication …