no code implementations • 12 Sep 2023 • Rafael Valente da Silva, Onel L. Alcaraz López, Richard Demo Souza
Distributed learning on edge devices has attracted increased attention with the advent of federated learning (FL).
no code implementations • 4 Apr 2023 • David E. Ruiz-Guirola, Onel L. A. Lopez, Samuel Montejo-Sanchez, Richard Demo Souza, Mehdi Bennis
Herein, we assess the performance of several machine learning (ML) methods to predict Poisson and quasi-periodic MTC traffic in terms of accuracy and computational cost.
no code implementations • 13 Jun 2022 • David E. Ruíz-Guirola, Carlos A. Rodríguez-López, Samuel Montejo-Sánchez, Richard Demo Souza, Onel L. A. López, Hirley Alves
Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks.
no code implementations • 2 May 2022 • Eduardo Noboro Tominaga, Onel Luiz Alcaraz López, Richard Demo Souza, Hirley Alves
The Fifth Generation (5G) of wireless networks introduced native support for Machine-Type Communication (MTC), which is a key enabler for the Internet of Things (IoT) revolution.
no code implementations • 13 Jan 2021 • Eduardo Noboro Tominaga, Hirley Alves, Onel Luiz Alcaraz López, Richard Demo Souza, João Luiz Rebelatto, Matti Latva-aho
In this work we study the coexistence in the same Radio Access Network (RAN) of two generic services present in the Fifth Generation (5G) of wireless communication systems: enhanced Mobile BroadBand (eMBB) and massive Machine-Type Communications (mMTC).
no code implementations • 12 Jan 2021 • Eduardo Noboro Tominaga, Hirley Alves, Richard Demo Souza, João Luiz Rebelatto, Matti Latva-aho
The diverse requirements of these services in terms of data-rates, number of connected devices, latency and reliability can lead to a sub-optimal use of the 5G network, thus network slicing is proposed as a solution that creates customized slices of the network specifically designed to meet the requirements of each service.
1 code implementation • 9 Jan 2020 • Jean Michel de Souza Sant'Ana, Arliones Hoeller, Richard Demo Souza, Samuel Montejo-Sánchez, Hirley Alves, Mario de Noronha Neto
Low Power Wide Area Networks (LPWAN) are wireless connectivity solutions for Internet-of-Things (IoT) applications, including industrial automation.
Networking and Internet Architecture Signal Processing