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Intro
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Networked Drones: Multi-hop Extensions of Cellular Networks
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Networked Drones: UAV Tactical Networks
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Connected Drones: UAV Surveillance Networks
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Connected Drones: Some Core Challenges
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Connected Drones: Outline
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SkyCell: Architecture
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SkyCell: Hardware Overview
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SkyCell: Software-Defined Base Station
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Challenge: Flying Users Source of Interference!
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Motivation: Experimental measurements
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Intuition: Directional TX and Location control
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Problem Statement: Video streaming from POI
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Proposed Architecture: Open-RAN Control Loop
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Results: Performance Evaluation
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And People Need Connectivity
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Three Main Questions
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HIRO-NET: Two Tier Architecture
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HIRO-NET: Lower Tier (BLE)
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SwarmControl: SDN control framework for UAV Networks
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SwarmContral: The Control Framework (1/2)
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SwarmControl: Drone Programmable Protocol Stack (DPPS)
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SwarmControl: Prototyping the UAV nodes
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Experimental Evaluation: Indoor (3/3)
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Overcoming model-and-optimize' approaches
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Data-driven optimization for UAV networks
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Parallel DRL multi-agent training
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Optimization Result
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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

Paul G. Allen School
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