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20212026
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7 papers · 1 filter

eess.SP2026

Fourier Preconditioning for Neural Feature Learning

Preston Pitzer, Anish Pradhan, Harpreet S. Dhillon

Mutual information (MI)-inspired feature learning techniques are capable of generating low-dimensional embeddings that retain nonlinear dependence structures, but direct estimation…

eess.SP2025

Mutual Information-Driven Visualization and Clustering for Core KPI Selection in O-RAN Testing

Anish Pradhan, Lingjia Liu, Harpreet S. Dhillon

O-RAN testing is becoming increasingly difficult with the exponentially growing number of performance measurements as the system grows more complex, with additional units, interfac…

eess.SP2023

Stochastic Geometry Analysis of a New GSCM with Dual Visibility Regions

Anish Pradhan, Harpreet S. Dhillon, Fredrik Tufvesson +1

The geometry-based stochastic channel models (GSCM), which can describe realistic channel impulse responses, often rely on the existence of both {\em local} and {\em far} scatterer…

eess.SP2023

Novel LoS THz Channel Unifying Molecular Re-radiation Manifestations

Anish Pradhan, J. Kartheek Devineni, Andreas F. Molisch +1

This paper introduces a novel line-of-sight (LoS) terahertz (THz) channel model that closely mirrors physical reality by considering radiation trapping. Our channel model pro…

eess.SP2023

A Probabilistic Reformulation Technique for Discrete RIS Optimization in Wireless Systems

Anish Pradhan, Harpreet S. Dhillon

The use of reconfigurable intelligent surfaces (RIS) can improve wireless communication by modifying the wireless link to create virtual line-of-sight links, bypass blockages, supp…

eess.SP2022

Robust Optimization of RIS in Terahertz under Extreme Molecular Re-radiation Manifestations

Anish Pradhan, Mohamed A. Abd-Elmagid, Harpreet S. Dhillon +1

Terahertz (THz) communication signals are susceptible to severe degradation because of the molecular interaction with the atmosphere in the form of subsequent absorption and re-rad…