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Data-driven optimization for UAV networks
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Classroom Contents
Toward Autonomous, Software-Defined Networks of Wireless Drones
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- 1 Intro
- 2 Networked Drones: Multi-hop Extensions of Cellular Networks
- 3 Networked Drones: UAV Tactical Networks
- 4 Connected Drones: UAV Surveillance Networks
- 5 Connected Drones: Some Core Challenges
- 6 Connected Drones: Outline
- 7 SkyCell: Architecture
- 8 SkyCell: Hardware Overview
- 9 SkyCell: Software-Defined Base Station
- 10 Challenge: Flying Users Source of Interference!
- 11 Motivation: Experimental measurements
- 12 Intuition: Directional TX and Location control
- 13 Problem Statement: Video streaming from POI
- 14 Proposed Architecture: Open-RAN Control Loop
- 15 Results: Performance Evaluation
- 16 And People Need Connectivity
- 17 Three Main Questions
- 18 HIRO-NET: Two Tier Architecture
- 19 HIRO-NET: Lower Tier (BLE)
- 20 SwarmControl: SDN control framework for UAV Networks
- 21 SwarmContral: The Control Framework (1/2)
- 22 SwarmControl: Drone Programmable Protocol Stack (DPPS)
- 23 SwarmControl: Prototyping the UAV nodes
- 24 Experimental Evaluation: Indoor (3/3)
- 25 Overcoming model-and-optimize' approaches
- 26 Data-driven optimization for UAV networks
- 27 Parallel DRL multi-agent training
- 28 Optimization Result
- 29 AERPAW: Aerial Experimentation and Research Platform for Advanced Wireless
