1 citations · 1 across the 4 of their papers we have counts for
5 papers
A Few Moments Please: Scalable Graphon Learning via Moment Matching
Reza Ramezanpour, Victor M. Tenorio, Antonio G. Marques +2
Graphons, as limit objects of dense graph sequences, play a central role in the statistical analysis of network data. However, existing graphon estimation methods often struggle wi…
mmSnap: Bayesian One-Shot Fusion in a Self-Calibrated mmWave Radar Network
Anirban Banik, Lalitha Giridhar, Aaditya Prakash Kattekola +4
We present mmSnap, a collaborative RF sensing framework using multiple radar nodes, and demonstrate its feasibility and efficacy using commercially available mmWave MIMO radars. Co…
Crowd Size Estimation for Non-Uniform Spatial Distributions with mmWave Radar
Anurag Pallaprolu, Aaditya Prakash Kattekola, Winston Hurst +3
In this paper, we present a novel methodology for crowd size estimation using monostatic mmWave radar. Our aim is to accurately count large crowds that follow a non-uniform spatial…
Multi-Provider Resource Scheduling in Massive MIMO Radio Access Networks
Qing An, Divyanshu Pandey, Rahman Doost-Mohammady +2
An important aspect of 5G networks is the development of Radio Access Network (RAN) slicing, a concept wherein the virtualized infrastructure of wireless networks is subdivided int…
ML-Based Feedback-Free Adaptive MCS Selection for Massive Multi-User MIMO
Qing An, Mehdi Zafari, Chris Dick +3
As wireless communication systems strive to improve spectral efficiency, there has been a growing interest in employing machine learning (ML)-based approaches for adaptive modulati…