Search Results for author: Nazim Agoulmine

Found 2 papers, 0 papers with code

On Modeling Network Slicing Communication Resources with SARSA Optimization

no code implementations11 Jan 2023 Eduardo S. Xavier, Nazim Agoulmine, Joberto S. B. Martins

The communication slices and their allocated communication resources are essential in slicing architectures for resource orchestration and allocation, virtual network function (VNF) deployment, and slice operation functionalities.

Enhanced Pub/Sub Communications for Massive IoT Traffic with SARSA Reinforcement Learning

no code implementations3 Jan 2021 Carlos E. Arruda, Pedro F. Moraes, Nazim Agoulmine, Joberto S. B. Martins

This paper addresses the issue of conveying a massive volume of IoT data through a network with limited communications resources (bandwidth) using a cognitive communications resource allocation based on Reinforcement Learning (RL) with SARSA algorithm.

reinforcement-learning Reinforcement Learning (RL)

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