Swarm UAV networking with collaborative beamforming and automated ESN learning in the presence of unknown blockages

SK Moorthy, N Mastronarde, S Pudlewski, ES Bentley… - Computer Networks, 2023 - Elsevier
This paper aims at designing high-data-rate swarm UAV networks with distributed
beamforming capabilities. The primary challenge is that the beamforming gain in swarm …

OSWireless: Hiding specification complexity for zero-touch software-defined wireless networks

SK Moorthy, N Mastronarde, ES Bentley, M Medley… - Computer Networks, 2023 - Elsevier
In the current practice of wireless engineering, to optimize wireless networks engineers
usually need to grapple simultaneously with network modeling, algorithm and protocol …

Swarm UAV networking with collaborative beamforming and automated ESN learning in the presence of unknown blockages

This paper aims at designing high-data-rate swarm UAV networks with distributed
beamforming capabilities. The primary challenge is that the beamforming gain in swarm …

OSWireless:: Hiding specification complexity for zero-touch software-defined wireless networks

S Krishna Moorthy, N Mastronarde, ES Bentley… - 2023 - dl.acm.org
In the current practice of wireless engineering, to optimize wireless networks engineers
usually need to grapple simultaneously with network modeling, algorithm and protocol …

Slam Based Airborne Visual Mapping System

Z Zhang - 2023 - search.proquest.com
The airborne visual SLAM system is a UAV carried visual SLAM system for aerial mapping. It
provides a solution for large-scale blockage detection and modeling. UAV's mobility …

An AWS-Based Remote Access System for Software-Defined Wireless Testbeds

H Li - 2023 - search.proquest.com
The rapid increase in wireless systems and the need for remote control and monitoring has
led to a high demand for user-friendly, secure, and effective remote access platforms. This …

Communication Efficient Multi-Agent Reinforcement Learning in Mobile Wireless Networks

Y Cui - 2022 - search.proquest.com
We consider a collaborative distributed multi-agent reinforcement learning problem with
networked agents, where agents are connected via a time-varying communication network …