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20222024
most citedLearning Random Access Schemes for Massive Machine-Type Communication with MARL

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cs.IT2024

A Lossless Compression Technique for the Downlink Control Information Message

Bryan Liu, Alvaro Valcarce, K. Pavan Srinath

Improving the reliability and spectral efficiency of wireless systems is a key goal in wireless systems. However, most efforts have been devoted to improving data channel capacity,…

cs.IT20241 cited

Optimizing Wireless Discontinuous Reception via MAC Signaling Learning

Adriano Pastore, Adrián Agustín de Dios, Álvaro Valcarce

We present a Reinforcement Learning (RL) approach to the problem of controlling the Discontinuous Reception (DRX) policy from a Base Transceiver Station (BTS) in a cellular network…

cs.IT2024

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…

cs.IT2023

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…

cs.IT20231 cited

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…