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20192026
most citedLayered Chirp Spread Spectrum Modulations for LPWANs

10 citations · 23 across the 21 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

eess.SP2025

From OFDM to AFDM: Enabling Adaptive Integrated Sensing and Communication in High-Mobility Scenarios

Haoran Yin, Yanqun Tang, Jun Xiong +7

Integrated sensing and communication (ISAC) is a key feature of next-generation wireless networks, enabling a wide range of emerging applications such as vehicle-to-everything (V2X…

eess.SP2025

High-Resolution Sensing in Communication-Centric ISAC: Deep Learning and Parametric Methods

Salmane Naoumi, Ahmad Bazzi, Roberto Bomfin +1

This paper introduces two novel algorithms designed to address the challenge of super-resolution sensing parameter estimation in bistatic configurations within communication-centri…

eess.SP2025

3GPP-Compliant Radar Cross Section Characterization of Indoor Factory Targets

Ali Waqar Azim, Ahmad Bazzi, Roberto Bomfin +1

The following paper presents a systematic 3rd Generation Partnership Project (3GPP)-compliant characterization of radar cross section (RCS) for indoor factory (InF) objects, includ…

eess.SP2025★ 3 cited

Statistical and Deterministic RCS Characterization for ISAC Channel Modeling

Ali Waqar Azim, Ahmad Bazzi, Roberto Bomfin +3

In this study, we perform a statistical analysis of the radar cross section (RCS) for various test targets in an indoor factory at \(25\)-\(28\) GHz, with the goal of formulating p…

eess.SP2025★ 1 cited

Upper Mid-Band Spectrum for 6G: Vision, Opportunity and Challenges

Ahmad Bazzi, Roberto Bomfin, Marco Mezzavilla +3

Driven by the pursuit of gigabit-per-second data speeds for future 6G mobile networks, in addition to the support of sensing and artificial intelligence applications, the industry…

eess.SP2025

Reinforcement Learning for Enhancing Sensing Estimation in Bistatic ISAC Systems with UAV Swarms

Obed Morrison Atsu, Salmane Naoumi, Roberto Bomfin +1

This paper introduces a novel Multi-Agent Reinforcement Learning (MARL) framework to enhance integrated sensing and communication (ISAC) networks using unmanned aerial vehicle (UAV…