Communication and computation O-RAN resource slicing for URLLC services using deep reinforcement learning

A Filali, B Nour, S Cherkaoui… - IEEE Communications …, 2023 - ieeexplore.ieee.org
The evolution of the future beyond-5G/6G networks toward a service-aware network is
based on network slicing technology. With network slicing, communication service providers …

An intelligent self-sustained RAN slicing framework for diverse service provisioning in 5G-beyond and 6G networks

J Mei, X Wang, K Zheng - Intelligent and Converged Networks, 2020 - ieeexplore.ieee.org
Network slicing is a key technology to support the concurrent provisioning of heterogeneous
Quality of Service (QoS) in the 5th Generation (5G)-beyond and the 6th Generation (6G) …

Reinforcement learning for radio resource management in ran slicing: A survey

M Zangooei, N Saha, M Golkarifard… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Dynamic radio resource allocation to network slices in mobile networks is challenging due to
the diverse requirements of RAN slices and the dynamic environment of wireless networks …

Accelerating reinforcement learning via predictive policy transfer in 6G RAN slicing

AM Nagib, H Abou-Zeid… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reinforcement Learning (RL) algorithms have recently been proposed to solve dynamic
radio resource management (RRM) problems in beyond 5G networks. However, RL-based …

Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services

A Filali, Z Mlika, S Cherkaoui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) slicing is a key technology that enables 5G network to support
heterogeneous requirements of generic services, namely ultra-reliable low-latency …

A multi-agent reinforcement learning approach for capacity sharing in multi-tenant scenarios

I Vilà, J Pérez-Romero, O Sallent… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
5G is envisioned to simultaneously provide diverse service types with heterogeneous needs
under very different application scenarios and business models. Therefore, network slicing …

Federated deep reinforcement learning for resource allocation in O-RAN slicing

H Zhang, H Zhou… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Recently, open radio access network (O-RAN) has become a promising technology to
provide an open environment for network vendors and operators. Coordinating the x …

Deep reinforcement learning based resource allocation for network slicing with massive MIMO

D Yan, BK Ng, W Ke, CT Lam - IEEE Access, 2023 - ieeexplore.ieee.org
Network slicing is a critical technology for fifth-generation (5G) networks, owing to its merits
in meeting the diversified requirements of users. Effective resource allocation for network …

Resource allocation in 5G cloud‐RAN using deep reinforcement learning algorithms: A review

M Khani, S Jamali, MK Sohrabi… - Transactions on …, 2024 - Wiley Online Library
This paper reviews recent research on resource allocation in 5G cloud‐based radio access
networks (C‐RAN) using deep reinforcement learning (DRL) algorithms. It explores the …

Resource allocation with admission control for GBR and delay QoS in 5G network slices

TVK Buyakar, H Agarwal, BR Tamma… - … Systems & NETworkS …, 2020 - ieeexplore.ieee.org
Network slicing is an integral part of 5G, which supports next-generation wireless
applications over a shared network infrastructure. It paves the way to leverage the full …