activity
20242026
collaborators

6 papers

eess.SY2026

Adaptive Contention-based Random Access for Uplink Reporting in 3GPP Ambient IoT Networks

David E. Ruiz-Guirola, Samer Nasser, Bikramjit Singh +6

Ambient Internet of Things (A-IoT) targets energy harvesting (EH), battery-less devices as a simple connectivity solution for extensive ultra-low-power deployments. These devices t…

eess.SY2026

Frugal Geofencing via Energy-aware Sensing and Reporting

David E. Ruiz-Guirola, Miltiadis Filippou, Onel A. Lopez

Timely and accurate monitoring in geofencing scenarios is challenging when relying on ultra-low power Internet of Things devices (IoTDs) powered by energy harvesting (EH). This is…

eess.SP2026

Energy-Aware Multi-Exit TinyML for Smart Zero-Energy Devices

Shahab Jahanbazi, Mateen Ashraf, Lieven De Strycker +2

The proliferation of smart and autonomous systems has motivated a shift toward executing intelligence directly on edge devices. This shift becomes particularly challenging for zero…

eess.SY2025

Energy Management and Wake-up for IoT Networks Powered by Energy Harvesting

David Ernesto Ruiz-Guirola, Samuel Montejo-Sanchez, Israel Leyva-Mayorga +3

The rapid growth of the Internet of Things (IoT) presents sustainability challenges such as increased maintenance requirements and overall higher energy consumption. This motivates…

math.OC2024

Neural Network-Based Bandit: A Medium Access Control for the IIoT Alarm Scenario

Prasoon Raghuwanshi, Onel Luis Alcaraz López, Neelesh B. Mehta +2

Efficient Random Access (RA) is critical for enabling reliable communication in Industrial Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning base…

eess.SP2024

Distributed MIMO Networks with Rotary ULAs for Indoor Scenarios under Rician Fading

Eduardo Noboro Tominaga, Onel Luis Alcaraz López, Tommy Svensson +2

The Fifth-Generation (5G) wireless communications networks introduced native support for Machine-Type Communications (MTC) use cases. Nevertheless, current 5G networks cannot fully…