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20162026
most citedMachine Learning Framework for Sensing and Modeling Interference in IoT Frequency Bands

55 citations · 116 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.SP2026

Pseudo-Noise Superposition for Finite-Alphabet Physical Layer Security

Fernando Moya Caceres, Chamath Divarathne, Yapeng Xie +4

Physical-layer security based on pseudo-noise (PN) superposition is a promising approach for mitigating eavesdropping in future wireless systems. However, under Shannon's capacity…

eess.SP2025

Null-Shaping for Interference Mitigation in LEO Satellites Under Location Uncertainty

Fernando Moya Caceres, Akram Al-Hourani, Saman Atapattu +1

Radio frequency interference (RFI) poses a growing challenge to satellite communications, particularly in uplink channels of Low Earth Orbit (LEO) systems, due to increasing spectr…

eess.SP2025

Eigenvalue-Based Detection in MIMO Systems for Integrated Sensing and Communication

Alex Obando, Saman Atapattu, Prathapasinghe Dharmawansa +2

This paper considers a MIMO Integrated Sensing and Communication (ISAC) system, where a base station simultaneously serves a MIMO communication user and a remote MIMO sensing recei…

eess.SP2024

Interference Mitigation in LEO Constellations with Limited Radio Environment Information

Fernando Moya Caceres, Akram Al-Hourani, Saman Atapattu +8

This research paper delves into interference mitigation within Low Earth Orbit (LEO) satellite constellations, particularly when operating under constraints of limited radio enviro…

eess.SP2023

Deep Learning Methods for Device Identification Using Symbols Trace Plot

Da Huang, Akram Al-Hourani, Kandeepan Sithamparanathan +1

Devices authentication is one crucial aspect of any communication system. Recently, the physical layer approach radio frequency (RF) fingerprinting has gained increased interest as…