Deep Reinforcement Learning for Optimization of RAN Slicing Relying on Control-and User-Plane Separation
The rapid development of radio access network (RAN) slicing and control-and user-plane
separation (CUPS) has created a new paradigm for future networks, namely CUPS-based …
separation (CUPS) has created a new paradigm for future networks, namely CUPS-based …
Secure and Privacy-Preserving Federated Learning-Based Resource Allocation for Next Generation Networks
A Dandoush, A Gouissem - Authorea Preprints, 2023 - techrxiv.org
This paper surveys recent research on Federated Learning-based resource allocation for
next-generation networks with the aim of identifying research gaps and potential directions …
next-generation networks with the aim of identifying research gaps and potential directions …
Rate Control for RIS-Empowered Multi-Cell Dual-Connectivity HetNets: A Distributed Multi-Task DRL Approach
A Alwarafy, M Abdallah, N Al-Dhahir… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Heterogeneous wireless networks (HetNets), where networks are deployed with ultra-dense
small cells (SCs), is one of the main enabling technologies for future wireless networks. In …
small cells (SCs), is one of the main enabling technologies for future wireless networks. In …
DRL-Driven Intelligent Access Traffic Management for Hybrid 5G-WiFi Multi-RAT Networks
Integrating mobile networks with Non-3GPP networks provides a promising solution to
mitigate the wireless RF spectrum scarcity. Despite the maturity of integration technologies …
mitigate the wireless RF spectrum scarcity. Despite the maturity of integration technologies …