scholarly journals An End-to-End Network Slicing Algorithm Based on Deep Q-Learning for 5G Network

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 122229-122240 ◽  
Author(s):  
Taihui Li ◽  
Xiaorong Zhu ◽  
Xu Liu
Keyword(s):  
Network Slicing ◽  
Q Learning ◽  
5G Network ◽  
End To End

scholarly journals Admission Control for 5G Network Slicing based on (Deep) Reinforcement Learning

2021 ◽  
Author(s):  
William Fernando Villota Jácome ◽  
Oscar Mauricio Caicedo Rendon ◽  
Nelson Luis Saldanha da Fonseca
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Admission Control ◽  
Time Windows ◽  
Core Network ◽  
Network Slicing ◽  
Q Learning ◽  
Model Free ◽  
5G Network ◽  
Substrate Network

Network Slicing is a promising technology for providing customized logical and virtualized networks for the industry’s vertical segments.This paper proposes SARA and DSARA for the performance of admission control and resource allocation for network slice requests of eMBB, URLLC, and MIoT type in the 5G core network. SARA introduced a Q-learning based algorithm and DSARA a DQN-based algorithm to select the most profitable requests from a set that arrived in given time windows. These algorithms are model-free, meaning they do not make assumptions about the substrate network as do optimization based approaches.

Towards 5G network slicing for vehicular ad-hoc networks: An end-to-end approach

2020 ◽  
Vol 149 ◽  
pp. 252-258 ◽  
Author(s):  
Muhammad Afaq ◽  
Javed Iqbal ◽  
Talha Ahmed ◽  
Ihtesham Ul Islam ◽  
Murad Khan ◽  
...  
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Network Slicing ◽  
5G Network ◽  
End To End ◽  
Hoc Networks

scholarly journals Admission Control for 5G Network Slicing based on (Deep) Reinforcement Learning

2021 ◽  
Author(s):  
William Fernando Villota Jácome ◽  
Oscar Mauricio Caicedo Rendon ◽  
Nelson Luis Saldanha da Fonseca
Keyword(s):  
Resource Allocation ◽  
Reinforcement Learning ◽  
Admission Control ◽  
Time Windows ◽  
Core Network ◽  
Network Slicing ◽  
Q Learning ◽  
Model Free ◽  
5G Network ◽  
Substrate Network

Network Slicing is a promising technology for providing customized logical and virtualized networks for the industry’s vertical segments.This paper proposes SARA and DSARA for the performance of admission control and resource allocation for network slice requests of eMBB, URLLC, and MIoT type in the 5G core network. SARA introduced a Q-learning based algorithm and DSARA a DQN-based algorithm to select the most profitable requests from a set that arrived in given time windows. These algorithms are model-free, meaning they do not make assumptions about the substrate network as do optimization based approaches.

An End-to-End Demonstration for 5G Network Slicing

2019 ◽  
Author(s):  
Rui Ni ◽  
Xu Li ◽  
Jun Chen ◽  
Si Chen ◽  
Enbo Wang ◽  
...  
Keyword(s):  
Network Slicing ◽  
5G Network ◽  
End To End

scholarly journals SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3773
Author(s):  
Robert Botez ◽  
Jose Costa-Requena ◽  
Iustin-Alexandru Ivanciu ◽  
Vlad Strautiu ◽  
Virgil Dobrota
Keyword(s):  
Web Services ◽  
Mobile Network ◽  
High Availability ◽  
Core Network ◽  
Network Resources ◽  
Network Slicing ◽  
5G Network ◽  
Amazon Web Services ◽  
Network Functions ◽  
End To End

Managing the large volumes of IoT and M2M traffic requires the evaluation of the scalability and reliability for all the components in the end-to-end system. This includes connectivity, mobile network functions, and application or services receiving and processing the data from end devices. Firstly, this paper discusses the design of a containerized IoT and M2M application and the mechanisms for delivering automated scalability and high availability when deploying it in: (1) the edge using balenaCloud; (2) the Amazon Web Services cloud with EC2 instances; and (3) the dedicated Amazon Web Services IoT service. The experiments showed that there are no significant differences between edge and cloud deployments regarding resource consumption. Secondly, the solutions for scaling the 4G/5G network functions and mobile backhaul that provide the connectivity between devices and IoT/M2M applications are analyzed. In this case, the scalability and high availability of the 4G/5G components are provided by Kubernetes. The experiments showed that our proposed scaling algorithm for network slicing managed with SDN guarantees the necessary radio and network resources for end-to-end high availability.

scholarly journals The NECOS Approach to End-to-End Cloud-Network Slicing as a Service

2021 ◽  
Vol 59 (3) ◽  
pp. 91-97
Author(s):  
Stuart Clayman ◽  
Augusto Neto ◽  
Fabio Verdi ◽  
Sand Correa ◽  
Silvio Sampaio ◽  
...  
Keyword(s):  
Network Slicing ◽  
End To End ◽  
Cloud Network

scholarly journals Architecture for integrating vertical customer’s programmability control of network functions and connectivity in a slice-as-a-service schema

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Luis M. Contreras ◽  
Samier Barguil ◽  
Ricard Vilalta ◽  
Victor López
Keyword(s):  
Business Model ◽  
Use Cases ◽  
Network Slicing ◽  
On Demand ◽  
Network Functions ◽  
End To End ◽  
Operational Networks ◽  
Potential Use ◽  
Telecom Infrastructure ◽  
As If

AbstractNetwork slicing will permit offering to vertical customers tailored end-to-end logical networks in an on-demand fashion, on top of a common telecom infrastructure, achieving a Slices-as-a-Service (SlaaS) business model. This is possible due to the progressive introduction of network softwarization techniques, such as programmability and virtualization, into existing operational networks, enabling dynamic and flexible provision of slices. Those vertical customers could require the control not only of the network functions composing the end-to-end service, but also of the connectivity among them, e.g., for influencing the paths for steering traffic among function instances. However, this can be problematic since decisions from one vertical customer can collide with decisions from others. One aspect not yet sufficiently investigated is how to permit vertical customers to jointly control the service functions and the underlay connectivity, in such a way that could operate the allocated slice as if it was actually a dedicated network entirely for them. This paper explores some architectural proposition in this respect illustrated with some potential use cases and it provides an example of the provision of SlaaS for a vertical customer.

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