AERPAW: Aerial Experimentation and Research Platform for Advanced Wireless
Description:
Explore cutting-edge research on autonomous, software-defined networks of wireless drones in this comprehensive seminar. Delve into applications for augmenting cellular connectivity, streaming live video, and providing disaster relief. Examine self-optimizing drone networks for tactical scenarios and discuss open research challenges in enabling seamless, programmable connectivity. Learn about innovative projects like SkyCell, HIRO-NET, and SwarmControl, which address issues such as interference management, video streaming optimization, and SDN control frameworks for UAV networks. Gain insights into data-driven optimization techniques and parallel deep reinforcement learning for multi-agent training in UAV networks. Discover the potential of aerial experimentation platforms for advanced wireless research, presented by Professor Tommaso Melodia, a leading expert in wireless networked systems and Internet of Things technologies.
Toward Autonomous, Software-Defined Networks of Wireless Drones