4 papers · 1 filter
Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks
Ziru Chen, Zhou Ni, Peiyuan Guan +4
Diverse critical data, such as location information and driving patterns, can be collected by IoT devices in vehicular networks to improve driving experiences and road safety. Howe…
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…
Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems
Sravan Reddy Chintareddy, Keenan Roach, Kenny Cheung +1
In this paper, we propose a data-driven framework for collaborative wideband spectrum sensing and scheduling for networked unmanned aerial vehicles (UAVs), which act as the seconda…
Interference-Aware Queuing Analysis for Distributed Transmission Control in UAV Networks
Masoud Ghazikor, Keenan Roach, Kenny Cheung +1
In this paper, we investigate the problem of distributed transmission control for unmanned aerial vehicles (UAVs) operating in unlicensed spectrum bands. We develop a rigorous inte…