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Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond-Springer International Publishing (2020)

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Time-Variant Placements: Discusses the planning of time-variant placements of UAVs as base stations/relays in complex 3D environments with practical constraints like power and flying speed.
Spectrum Sharing: Investigates spectrum sharing between UAVs and existing cellular networks.
UAV Assisted Cellular Communications: Covers UAV applications in supporting cellular communications for enhanced connectivity.
UAV Sensing Applications: Explores the use of UAVs for sensing purposes such as smart agriculture, security monitoring, and traffic surveillance.
Real-Time Data Processing: Addresses the need for transmitting real-time sensory data to base stations due to limited computation capabilities of UAVs.
Joint Sensing and Communication Protocols: Designs protocols, beamforming, estimation algorithms, and resource optimization methods for efficient real-time sensing and communication.
Target Audience: Aimed at signal processing engineers, computer scientists, applied mathematicians, statisticians, systems engineers, undergraduate students, industry managers, government research agency workers, and general readers interested in communications and networks.

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Description

Unmanned Aerial Vehicle Cellular Network Integration

Unmanned Aerial Vehicle Cellular Network Integration is the future of advanced wireless communication, and this course provides a comprehensive introduction that you can also use as a powerful meta description.

Course Overview

The rapid adoption of 5G and the evolution toward 6G have opened a new era for Unmanned Aerial Vehicles (UAVs)</strong). This advanced course, based on
Unmanned Aerial Vehicle Applications over Cellular Networks for 5G and Beyond (Springer, 2020), explores how drones communicate, navigate, and operate safely using cellular networks.
Learners will gain deep insights into the synergy between UAVs, IoT ecosystems, ultra-reliable communication, network slicing, and next-generation air-to-ground connectivity.

What You Will Learn

Core principles of UAV communication over 4G, 5G, and upcoming 6G networks
Air-to-ground channel modeling and interference management techniques
How UAVs leverage network slicing, edge computing, and AI-driven optimization
Practical use cases: disaster recovery, surveillance, smart agriculture, and logistics
Challenges including latency, spectrum allocation, mobility support, and aerial traffic control

Why This Course Is Important

With governments and industries adopting drone solutions for critical applications, understanding UAV connectivity is essential for engineers, researchers, and technology innovators.
This course blends theoretical foundations with real-world case studies to help you master the complexities of drone-cellular network integration.

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Who Should Enroll?

This course is ideal for telecommunications engineers, UAV developers, IT professionals, IoT architects, academic researchers, defense personnel, robotics enthusiasts, and
anyone preparing for advanced roles in wireless communication, drone systems, and next-generation networking.

Conclusion

By the end of this program, you will understand how UAVs seamlessly integrate with 5G and beyond, enabling smart cities, automated transportation, and mission-critical
solutions worldwide. Equip yourself with the skills that drive the future of aerial communication systems.