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20242026
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eess.SP2026

A Framework for Geometry-based Statistical Channel Modeling in ISAC Systems

Ali Waqar Azim, Ahmad Bazzi, Theodore S. Rappaport +1

This paper proposes a comprehensive framework for a {geometry-based statistical model for} integrated sensing and communication (ISAC) tailored for bistatic systems. Our dual-compo…

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

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.SP2024

Indoor Statistical and Deterministic RCS Characterization for ISAC Channel Modeling

Ali Waqar Azim, Ahmad Bazzi, Roberto Bomfin +4

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

eess.SP2024

Layered Chirp Spread Spectrum Modulations for LPWANs

Ali Waqar Azim, Ahmad Bazzi, Roberto Bomfin +2

This article examines two chirp spread spectrum techniques specifically devised for low-power wide-area networks (LPWANs) to optimize energy and spectral efficiency (SE). These met…

eess.SP2024

A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments

Abdullahi Isa Ahmed, Yaya Etiabi, Ali Waqar Azim +1

Internet of Things (IoT) is an ever-evolving technological paradigm that is reshaping industries and societies globally. Real-time data collection, analysis, and decision-making fa…