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eess.SP2025

Near Field Tapering with Slepian Window: Balancing the Range Angle Sidelobe Trade off

Ahmed Hussain, Ahmed Sultan, Asmaa Abdallah +2

Near-field beamforming enables target discrimination in both range (axial) and angle (lateral) dimensions. Elevated sidelobes along either dimension, however, increase susceptibili…

eess.SP2025

Joint Motion, Angle, and Range Estimation in Near-Field under Array Calibration Imperfections

Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1

Ultra-massive multiple-input multiple-output MIMO (UM-MIMO) leverages large antenna arrays at high frequencies, transitioning communication paradigm into the radiative near-field (…

eess.SP2025

Analyzing URA Geometry for Enhanced Spatial Multiplexing and Extended Near-Field Coverage

Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1

With the deployment of large antenna arrays at high frequency bands, future wireless communication systems are likely to operate in the radiative near-field. Unlike far-field beam…

eess.SP2025

Near-Field Beam Prediction Using Far-Field Codebooks in Ultra-Massive MIMO Systems

Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1

Ultra-massive multiple-input multiple-output (UM-MIMO) technology is a key enabler for 6G networks, offering exceptional high data rates in millimeter-wave (mmWave) and Terahertz (…

eess.SP2025

Explainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks

Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2

Integrated artificial intelligence (AI) and communication has been recognized as a key pillar of 6G and beyond networks. In line with AI-native 6G vision, explainability and robust…

eess.SP2025

Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation

Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2

Artificial intelligence (AI) is expected to significantly enhance radio resource management (RRM) in sixth-generation (6G) networks. However, the lack of explainability in complex…