1 citations · 1 across the 4 of their papers we have counts for
4 papers
Emergent Communication Protocol Learning for Task Offloading in Industrial Internet of Things
Salwa Mostafa, Mateus P. Mota, Alvaro Valcarce +1
In this paper, we leverage a multi-agent reinforcement learning (MARL) framework to jointly learn a computation offloading decision and multichannel access policy with correspondin…
Designing Cellular Networks for UAV Corridors via Bayesian Optimization
Mohamed Benzaghta, Giovanni Geraci, David Lopez-Perez +1
As traditional cellular base stations (BSs) are optimized for 2D ground service, providing 3D connectivity to uncrewed aerial vehicles (UAVs) requires re-engineering of the existin…
Learning Random Access Schemes for Massive Machine-Type Communication with MARL
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro +1
In this paper, we explore various multi-agent reinforcement learning (MARL) techniques to design grant-free random access (RA) schemes for low-complexity, low-power battery operate…
Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach
Nithin Babu, Igor Donevski, Alvaro Valcarce +3
In this work, we optimize the 3D trajectory of an unmanned aerial vehicle (UAV)-based portable access point (PAP) that provides wireless services to a set of ground nodes (GNs). Mo…