Network Function

Network function optimization focuses on efficiently deploying and managing virtualized network functions (VNFs) to meet service demands while minimizing resource consumption and latency. Current research heavily utilizes reinforcement learning (RL), often in multi-agent or multi-objective frameworks, coupled with graph neural networks (GNNs) for improved resource allocation and service function chaining (SFC) management. These advancements aim to improve the scalability, adaptability, and cost-effectiveness of network infrastructure, particularly in emerging areas like 5G/6G and edge computing, impacting both operational efficiency and the quality of service delivered to end-users. The use of auctions and fairness-guaranteed mechanisms is also explored to manage resource allocation in multi-tenant environments.

Papers

November 12, 2024

Optimizing Service Function Chain Mapping in Network Function Virtualization through Simultaneous NF Decomposition and VNF Placement
Asghar Asgharian-Sardroud, Mohammad Hossein Izanlou, Amin Jabbari, Sepehr Mahmoodian Hamedani
Communication Network Network Function

October 17, 2024

Efficient Function Placement in Virtual Networks: An Online Learning Approach
Wei Huang, Richard Combes, Hind Castel-Taleb, Badii Jouaber
Practical Algorithm Constructive Approach Multi Armed Bandit Online Learning Novel Algorithm Virtual Network Optimal Placement Network Function

December 14, 2023

iOn-Profiler: intelligent Online multi-objective VNF Profiling with Reinforcement Learning
Xenofon Vasilakos, Shadi Moazzeni, Anderson Bravalheri, Pratchaya Jaisudthi, Reza Nejabati, Dimitra Simeonidou
Reinforcement Learning Resource Allocation Network Function

April 25, 2023

Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach
Jamila Alsayed Kassem, Li Zhong, Arie Taal, Paola Grosso
Digital Twin Q Learning Data Sharing Network Orchestrator Network Function

January 19, 2023

Advanced Scaling Methods for VNF deployment with Reinforcement Learning
Namjin Seo, DongNyeong Heo, Heeyoul Choi
Reinforcement Learning Software Defined Scaling Method Network Function Network Paradigm

January 2, 2023

Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs
Sourav Mondal, Marco Ruffini
Procedural Fairness Resource Allocation Open Radio Access Network Auction Based RAN Architecture Passive Optical Network Network Function

November 10, 2022

A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case
Nikita Jalodia, Mohit Taneja, Alan Davy
Graph Neural Network Deep Reinforcement Learning New Framework Latency Critical Network Function

June 24, 2022

Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing
Shaoyang Wang, Chau Yuen, Wei Ni, Guan Yong Liang, Tiejun Lv
Reinforcement Learning Deep Reinforcement Learning Multi Agent Multi Agent Deep Reinforcement Learning Routing Problem Network Function

May 20, 2022

On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach
Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao
Edge Computing Multi Agent Deep Reinforcement Learning Task Offloading Network Function

Network Function

Papers

Optimizing Service Function Chain Mapping in Network Function Virtualization through Simultaneous NF Decomposition and VNF Placement

Efficient Function Placement in Virtual Networks: An Online Learning Approach

iOn-Profiler: intelligent Online multi-objective VNF Profiling with Reinforcement Learning

Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach

Advanced Scaling Methods for VNF deployment with Reinforcement Learning

Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs

A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case

Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing

On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach