Introducing Reinforcement Learning in the Wi-Fi MAC Layer to Support Sustainable Communications in e-Health Scenarios

G Famitafreshi, MS Afaqui, J Melià-Seguí - IEEE Access, 2023 - ieeexplore.ieee.org
The crisis of energy supplies has led to the need for sustainability in technology, especially
in the Internet of Things (IoT) paradigm. One solution is the integration of passive …

Transmission Power Control Based on Cross Layer Routing Optimization Technique in Cognitive Radio Network

S Aravindkumaran, D Saraswady… - International Journal of …, 2023 - ijisae.org
Cognitive radio networks have been proposed as a feasible option for the fifth generation
(5G) wireless system to address the different demands. These networks utilise intelligence to …

Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation

S Kafle, J Jagannath, Z Kane, N Biswas… - IEEE …, 2023 - ieeexplore.ieee.org
We tackle the problem of joint frequency and power allocation while emphasizing the
generalization capability of a deep reinforcement learning model. Most of the existing …

Framework for Federated Learning and Edge Deployment of Real-Time Reinforcement Learning Decision Engine on Software Defined Radio

J Jagannath - Proceedings of the AAAI Symposium Series, 2024 - ojs.aaai.org
Abstract Machine learning promises to empower dynamic resource allocation requirements
of Next Generation (NextG) wireless networks including 6G and tactical networks. Recently …

prisma-v2: Extension to Cloud Overlay Networks

RA Alliche, TDS Barros… - 2023 23rd …, 2023 - ieeexplore.ieee.org
In this paper, we present prisma-v2, a new release of prisma, a Packet Routing Simulator for
Multi-Agent Reinforcement Learning. prisma-v2 brings a new set of features. First, it allows …