Open RAN Slicing for MVNOs With Deep Reinforcement Learning
A Filali, Z Mlika, S Cherkaoui - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
As 5G networks continue to be deployed and 6G networks begin to be envisioned, mobile
network operators (MNOs) are embarking on a revolutionary transformation of the way they …
network operators (MNOs) are embarking on a revolutionary transformation of the way they …
Federated deep reinforcement learning for open ran slicing in 6g networks
A Abouaomar, A Taik, A Filali… - IEEE Communications …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) slicing is a key element in enabling current 5G networks and
next-generation networks to meet the requirements of different services in various verticals …
next-generation networks to meet the requirements of different services in various verticals …
Efficient embedding VNFs in 5G network slicing: a deep reinforcement learning approach
L Le, TN Nguyen, K Suo, J He - arXiv preprint arXiv:2207.11822, 2022 - arxiv.org
5G radio access network (RAN) slicing aims to logically split an infrastructure into a set of
self-contained programmable RAN slices, with each slice built on top of the underlying …
self-contained programmable RAN slices, with each slice built on top of the underlying …
5G network slicing and drone-assisted applications: A deep reinforcement learning approach
L Le, TN Nguyen, K Suo, J He - … of the 5th International ACM Mobicom …, 2022 - dl.acm.org
5G radio access network (RAN) slicing is gaining momentum in finding applications in a
wide range of domains, especially those requiring high-speed data transmissions such as …
wide range of domains, especially those requiring high-speed data transmissions such as …
Reinforcement learning-based radio access network slicing for a 5G system with support for cellular V2X
HDR Albonda, J Pérez-Romero - … 2019, Poznan, Poland, June 11–12 …, 2019 - Springer
Abstract 5G mobile systems are expected to host a variety of services and applications such
as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) …
as enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) …
Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing
Network slicing is one of the foundations for the realization of 5G and beyond. However, due
to the mobility of the users and the network dynamics, flexible and efficient radio access …
to the mobility of the users and the network dynamics, flexible and efficient radio access …
Intelligent resource scheduling for 5G radio access network slicing
It is widely acknowledged that network slicing can tackle the diverse use cases and
connectivity services of the forthcoming next-generation mobile networks (5G). Resource …
connectivity services of the forthcoming next-generation mobile networks (5G). Resource …
Temporal Feature-Enhanced Deep Reinforcement Learning for RAN Slicing with User Mobility
Q Zhang, Z Li, Z Qin, X Sun… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Radio access network (RAN) slicing is driving the growth of 5G verticals. A large number of
mobile user equipment (UE) increases the dynamicity of service requests. However, in …
mobile user equipment (UE) increases the dynamicity of service requests. However, in …
Deep Reinforcement Learning for Scalable Dynamic Bandwidth Allocation in RAN Slicing with Highly Mobile Users
Radio Access Network (RAN) slicing is a key technology in 5G communication systems. It
dynamically allocates network resources such as bandwidth and time slots to each RAN …
dynamically allocates network resources such as bandwidth and time slots to each RAN …
Energy-efficient deep reinforcement learning assisted resource allocation for 5G-RAN slicing
One of the pillars of the 5G architecture is network slicing, in which hardware, radio, and
power resources are virtualized as a logical network taking into account the requirements of …
power resources are virtualized as a logical network taking into account the requirements of …