Network Slice

Network slicing divides a physical network into multiple virtual networks, each tailored to specific service requirements (e.g., bandwidth, latency). Current research focuses on optimizing resource allocation and admission control within these slices, employing machine learning techniques like deep reinforcement learning, and digital twin modeling to improve efficiency and predict demand. These advancements aim to enhance the performance and adaptability of 5G and beyond networks, enabling efficient delivery of diverse services while ensuring quality of service and resource utilization. The impact spans improved network management, enhanced service provisioning, and the development of more sophisticated network architectures.

Papers

October 20, 2024

Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services
Menna Helmy, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad
Artificial Intelligence Online Learning Subset Selection Network Slicing AI Service Slice by Slice Network Slice

August 28, 2024

Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume
Zeduo Zhang, Yalda Mohsenzadeh
3D Brain Deep Anomaly Detection Brain Imaging Data Network Slice

August 16, 2024

Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Systems
Cyril Shih-Huan Hsu, Danny De Vleeschauwer, Chrysa Papagianni
Real Time Adaptation Learning Decomposition Two Layer Network Network Slice Evolving System

June 22, 2024

Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things
Daniel Ayepah-Mensah, Guolin Sun, Yu Pang, Wei Jiang
Digital Twin Good Thing Network Slicing Industrial Internet Network Slice Network Orchestrator

April 1, 2024

ML KPI Prediction in 5G and B5G Networks
Nguyen Phuc Tran, Oscar Delgado, Brigitte Jaumard, Fadi Bishay
Worst Case User Throughput Network Slicing Network Slice KPI Prediction

January 18, 2024

Slicer Networks
Hang Zhang, Xiang Chen, Rongguang Wang, Renjiu Hu, Dongdong Liu, Gaolei Li
Medical Image Analysis Receptive Field Frequency Feature Network Slice

October 7, 2023

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
Zhenyu Tao, Wei Xu, Xiaohu You
Deep Reinforcement Learning Markov Decision Process Digital Twin Deep Q Network Slice Admission Control

October 3, 2023

5G Network Slicing: Analysis of Multiple Machine Learning Classifiers
Mirsad Malkoc, Hisham A. Kholidy
General Analysis Random Forest Model Virtual Network Network Slice

July 18, 2023

Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration
Joberto S. B. Martins, Tereza C. Carvalho, Rodrigo Moreira, Cristiano Both, Adnei Donatti, João H. Corrêa, José A. Suruagy, Sand L. Corrêa, Antonio J. G. Abelem, Moisés R. N. Ribeiro, Jose-Marcos Nogueira, Luiz C. S. Magalhães, Juliano Wickboldt, Tiago Ferreto, Ricardo Mello, Rafael Pasquini, Marcos Schwarz, Leobino N. Sampaio, Daniel F. Macedo, José F. de Rezende, Kleber V. Cardoso, Flávio O. Silva
Machine Learning Security Related Network Slicing Sustainability Information Network Slice

June 15, 2023

Attention-based Open RAN Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah, Jonathan Ashdown
Deep Reinforcement Learning Dynamic Network Quality of Service Network Slicing Open Radio Access Network Network Slice

November 14, 2022

Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul
Nien Fang Cheng, Turgay Pamuklu, Melike Erol-Kantarci
Resource Allocation Network Slicing Network Simulation Network Slice RAN Architecture Learning Based Resource Allocation

August 30, 2022

Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN
Fatemeh Lotfi, Omid Semiari, Fatemeh Afghah
Reinforcement Learning Radio Access Network Open Radio Access Network Network Slice Radio Access Network Slicing

July 27, 2022

Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learning
Chien-Cheng Wu, Vasilis Friderikos, Cedomir Stefanovic
Deep Reinforcement Learning Resource Allocation Network Slicing Network Slice

April 14, 2022

Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach
Simon Lindståhl, Alexandre Proutiere, Andreas Johnsson
Best Arm Identification Dataflow Architecture Network Slice Measurement Operator Admission Control

November 16, 2021

CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing
Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu
Reinforcement Learning Policy Optimization Network Slicing Network Slice Constrained Reinforcement LeArning

Network Slice

Papers

Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services

Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume

Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Systems

Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things

ML KPI Prediction in 5G and B5G Networks

Slicer Networks

Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network

5G Network Slicing: Analysis of Multiple Machine Learning Classifiers

Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration

Attention-based Open RAN Slice Management using Deep Reinforcement Learning

Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul

Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN

Multi-Objective Provisioning of Network Slices using Deep Reinforcement Learning

Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach

CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing