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20172026
most citedKey Technologies and System Trade-Offs for Detection and Localization of Amateur Drones

138 citations · 436 across the 25 of their papers we have counts for

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10 papers · 1 filter

eess.SP2026

Joint Mobile User Positioning and Passive Target Sensing using Optimized Sequential Beamforming

Aymen Hamrouni, Sofie Pollin, Hazem Sallouha

Integrated sensing and communication (ISAC) relies on monostatic sensing (MS) and bistatic positioning (BP) to enable comprehensive environmental awareness and user localization. H…

eess.SP2026

Disaggregated multi-domain interference classification for O-RAN

Dieter Verbruggen, Hazem Sallouha, Sofie Pollin

Spectrum sharing and dynamic spectrum reuse are becoming increasingly critical in modern wireless networks to address spectrum scarcity. However, these techniques inevitably increa…

eess.SP2025

Analytical Modeling of Batteryless IoT Sensors Powered by Ambient Energy Harvesting

Jimmy Fernandez Landivar, Andrea Zanella, Ihsane Gryech +2

This paper presents a comprehensive mathematical model to characterize the energy dynamics of batteryless IoT sensor nodes powered entirely by ambient energy harvesting. The model…

eess.SP2025

Cell-Free Massive MIMO under a Non-Linear Power Amplifier Consumption Model

Robbert Beerten, Vida Ranjbar, Hazem Sallouha +1

Existing works on Cell-Free Massive MIMO primarily focus on optimising system throughput and energy efficiency under high-traffic scenarios with only a limited focus on variable us…

eess.SP2024

Balanced Space- and Time-based Duty-cycle Scheduling for Light-based IoT

Khojiakbar Botirov, Hazem Sallouha, Sofie Pollin +1

In this work, we propose a Multiple Access Control (MAC) protocol for Light-based IoT (LIoT) networks, where the gateway node orchestrates and schedules batteryless nodes duty-cycl…

eess.SP2024★ 2 cited

Batteryless BLE and Light-based IoT Sensor Nodes for Reliable Environmental Sensing

Jimmy Fernandez Landivar, Khojiakbar Botirov, Hazem Sallouha +2

The sustainable design of Internet of Things (IoT) networks encompasses considerations related to energy efficiency and autonomy as well as considerations related to reliable commu…

eess.SP2024

Computational Efficient Width-Wise Early Exiting in Wireless Communication Systems

Dieter Verbruggen, Hazem Sallouha, Sofie Pollin

Deep learning (DL) techniques are increasingly pervasive across various domains, including wireless communication, where they extract insights from raw radio signals. However, the…

eess.SP2024

Location-Based Load Balancing for Energy-Efficient Cell-Free Networks

Robbert Beerten, Vida Ranjbar, Andrea P. Guevara +2

Cell-Free Massive MIMO (CF mMIMO) has emerged as a potential enabler for future networks. It has been shown that these networks are much more energy-efficient than classical cellul…

eess.SP2024

Distributed Deep Learning for Modulation Classification in 6G Cell-Free Wireless Networks

Dieter Verbruggen, Hazem Sallouha, Sofie Pollin

In the evolution of 6th Generation (6G) technology, the emergence of cell-free networking presents a paradigm shift, revolutionizing user experiences within densely deployed networ…

eess.SP2023

Enabling Low-Overhead Over-the-Air Synchronization Using Online Learning

Dieter Verbruggen, Hazem Sallouha, Sofie Pollin

Accurate network synchronization is a key enabler for services such as coherent transmission, cooperative decoding, and localization in distributed and cell-free networks. Unlike c…