7 papers
Partially-Observable Transmission Control for UAV-Enabled Federated Learning in IoT Networks
Masoud Ghazikor, Zhou Ni, Morteza Hashemi
Uncrewed aerial vehicle (UAV)-enabled federated learning (FL) can provide flexible, on-demand edge intelligence for large-scale IoT deployments, but operating in shared unlicensed…
A Vertical Look at UAV Connectivity in the Wild: Cellular vs. Starlink, 3D Characterization, and Performance Prediction
Sravan Reddy Chintareddy, Sherwan Jalal Abdullah, Justin D. Clough +3
In this paper, we present an open-source measurement platform designed to characterize the performance of commercial cellular (Verizon, a major US provider) and LEO satellite (Star…
Personalized Federated Learning-Driven Beamforming Optimization for Integrated Sensing and Communication Systems
Zhou Ni, Sravan Reddy Chintareddy, Peiyuan Guan +1
In this paper, we propose an Expectation-Maximization-based (EM) Personalized Federated Learning (PFL) framework for multi-objective optimization (MOO) in Integrated Sensing and Co…
Performance Analysis of RIS-Assisted UAV Communication in NOMA Networks
Masoud Ghazikor, Van Ly Nguyen, Morteza Hashemi
This paper investigates the performance of downlink non-orthogonal multiple access (NOMA) communication in unmanned aerial vehicle (UAV) networks enhanced by partitionable reconfig…
A Versatile and Programmable UAV Platform for Radio Access Network and End-to-End Cellular Measurements
Sherwan Jalal Abdullah, Sravan Reddy Chintareddy, Victor S. Frost +2
In this work, we develop a measurement platform to capture mobile network performance metrics including coverage and quality of service in regions where conventional coverage testi…
Channel-Aware Distributed Transmission Control and Video Streaming in UAV Networks
Masoud Ghazikor, Keenan Roach, Kenny Cheung +1
In this paper, we study the problem of distributed transmission control and video streaming optimization for UAVs operating in unlicensed spectrum bands. We develop a rigorous cros…