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 …
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 …
RAN resource slicing in 5G using multi-agent correlated Q-learning
5G is regarded as a revolutionary mobile network, which is expected to satisfy a vast number
of novel services, ranging from remote health care to smart cities. However, heterogeneous …
of novel services, ranging from remote health care to smart cities. However, heterogeneous …
Transfer learning-based accelerated deep reinforcement learning for 5G RAN slicing
AM Nagib, H Abou-Zeid… - 2021 IEEE 46th …, 2021 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) algorithms have been recently proposed to solve
dynamic Radio Resource Management (RRM) problems in 5G networks. However, the slow …
dynamic Radio Resource Management (RRM) problems in 5G networks. However, the slow …
User-based quality of service aware multi-cell radio access network slicing
5G radio access network (RAN) slicing envisions a solution to flexibly deploy heterogeneous
services as slices sharing the same infrastructure. However, this level of flexibility renders …
services as slices sharing the same infrastructure. However, this level of flexibility renders …
Dynamic partitioning of radio resources based on 5G RAN Slicing
Network Slicing (NS) represents a key technology enabler for advanced connectivity and
data processing tailored to customers' specific requirements. While significant progress has …
data processing tailored to customers' specific requirements. While significant progress has …
Slice management in radio access network via deep reinforcement learning
In future 5G systems, it is envisioned that the physical resources of a single network will be
dynamically shared between the virtual end-to-end networks called “slices” and the network …
dynamically shared between the virtual end-to-end networks called “slices” and the network …
Applications of machine learning in resource management for RAN-slicing in 5G and beyond networks: A survey
One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is
network slicing, in which the network is partitioned into several separated logical networks …
network slicing, in which the network is partitioned into several separated logical networks …
Machine learning-assisted cross-slice radio resource optimization: Implementation framework and algorithmic solution
RA Ferrús Ferré, J Pérez Romero… - ITU journal on …, 2020 - upcommons.upc.edu
Network slicing is a central feature in 5G and beyond systems to allow operators to
customize their networks for different applications and customers. With network slicing …
customize their networks for different applications and customers. With network slicing …
Radio resource management in context of network slicing: What is missing in existing mechanisms?
Fifth generation (5G) of mobile networks are expected to serve multiple heterogeneous use
cases. These use cases are extremely diverse in terms of service requirements and …
cases. These use cases are extremely diverse in terms of service requirements and …