DRL-based Slice Placement Under Non-Stationary Conditions

We consider online learning for optimal network slice placement under the assumption that slice requests arrive according to a non-stationary Poisson process. We propose a framework based on Deep Reinforcement Learning (DRL) combined with a heuristic to design algorithms. We specifically design two pure-DRL algorithms and two families of hybrid DRL-heuristic algorithms. To validate their performance, we perform extensive simulations in the context of a large-scale operator infrastructure. The evaluation results show that the proposed hybrid DRL-heuristic algorithms require three orders of magnitude of learning episodes less than pure-DRL to achieve convergence. This result indicates that the proposed hybrid DRL-heuristic approach is more reliable than pure-DRL in a real non-stationary network scenario.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/05/2021

On the Robustness of Controlled Deep Reinforcement Learning for Slice Placement

The evaluation of the impact of using Machine Learning in the management...
research
09/27/2021

DRL-based Slice Placement under Realistic Network Load Conditions

We propose to demonstrate a network slice placement optimization solutio...
research
05/14/2021

A Heuristically Assisted Deep Reinforcement Learning Approach for Network Slice Placement

Network Slice placement with the problem of allocation of resources from...
research
09/21/2014

Distributed Robust Learning

We propose a framework for distributed robust statistical learning on b...
research
10/16/2020

Edge-enabled Optimized Network Slicing in Large Scale Networks

In this demo paper, we consider the network slice placement optimization...
research
07/14/2022

Covy: An AI-powered Robot for Detection of Breaches in Social Distancing

We present Covy – a robotic platform that promotes social distancing dur...
research
11/03/2022

Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP

The bottleneck of distributed edge learning (DEL) over wireless has shif...

Please sign up or login with your details

Forgot password? Click here to reset