Deep reinforcement learning for 5G radio access network slicing with spectrum coexistence
The paper presents a reinforcement learning solution to dynamic admission control and
resource allocation for 5G radio access network (RAN) slicing requests, when the spectrum …
resource allocation for 5G radio access network (RAN) slicing requests, when the spectrum …
Deep Reinforcement Learning for NextG Radio Access Network Slicing With Spectrum Coexistence
Reinforcement learning (RL) is applied for dynamic admission control and resource
allocation in NextG radio access network slicing. When sharing the spectrum with an …
allocation in NextG radio access network slicing. When sharing the spectrum with an …
Reinforcement learning for dynamic resource optimization in 5G radio access network slicing
The paper presents a reinforcement learning solution to dynamic resource allocation for 5G
radio access network slicing. Available communication resources (frequency-time blocks …
radio access network slicing. Available communication resources (frequency-time blocks …
Intelligent radio access network slicing for service provisioning in 6G: A hierarchical deep reinforcement learning approach
Network slicing is a key paradigm in 5G and is expected to be inherited in future 6G
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
networks for the concurrent provisioning of diverse quality of service (QoS). Unfortunately …
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) …
Intent-aware radio resource scheduling in a ran slicing scenario using reinforcement learning
Network slicing at the radio access network (RAN) domain, called RAN slicing, requires
elasticity, efficient resource sharing, and customization. In this scenario, radio resource …
elasticity, efficient resource sharing, and customization. In this scenario, radio resource …
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 …
Analysis of RAN slicing for Cellular V2X and mobile broadband services based on reinforcement learning
H Albonda, J Pérez-Romero - EAI Endorsed Transactions on Wireless …, 2020 - eudl.eu
Abstract Radio Access Network (RAN) slicing is one of the key enablers to provide the
design flexibility and enable 5G system to support heterogeneous services over a common …
design flexibility and enable 5G system to support heterogeneous services over a common …
Deep Reinforcement Learning for Online Resource Allocation in Network Slicing
Network slicing is a key enabler of 5G and beyond networks to satisfy the diverse quality of
service (QoS) requirements of different services simultaneously. In network slicing, radio …
service (QoS) requirements of different services simultaneously. In network slicing, radio …
Dynamic Resource Allocation in Network Slicing with Deep Reinforcement Learning
Network slicing is key to enabling 6G and beyond networks to simultaneously meet the
diverse quality of service (QoS) requirements of various services. In network slicing, radio …
diverse quality of service (QoS) requirements of various services. In network slicing, radio …