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Autonomous Airborne Wireless Networks Ieee Press 1st Edition Muhammad Ali Imran Editor

  • SKU: BELL-37382964
Autonomous Airborne Wireless Networks Ieee Press 1st Edition Muhammad Ali Imran Editor
$ 31.00 $ 45.00 (-31%)

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Autonomous Airborne Wireless Networks Ieee Press 1st Edition Muhammad Ali Imran Editor instant download after payment.

Publisher: Wiley-IEEE Press
File Extension: PDF
File size: 8.8 MB
Pages: 320
Author: Muhammad Ali Imran (editor), Oluwakayode Onireti (editor), Shuja Ansari (editor), Qammer H. Abbasi (editor)
ISBN: 9781119751687, 1119751683
Language: English
Year: 2021
Edition: 1

Product desciption

Autonomous Airborne Wireless Networks Ieee Press 1st Edition Muhammad Ali Imran Editor by Muhammad Ali Imran (editor), Oluwakayode Onireti (editor), Shuja Ansari (editor), Qammer H. Abbasi (editor) 9781119751687, 1119751683 instant download after payment.

AUTONOMOUS AIRBORNE WIRELESS NETWORKS

Discover what lies beyond the bleeding-edge of autonomous airborne networks with this authoritative new resource

Autonomous Airborne Wireless Networks delivers an insightful exploration on recent advances in the theory and practice of using airborne wireless networks to provide emergency communications, coverage and capacity expansion, information dissemination, and more. The distinguished engineers and editors have selected resources that cover the fundamentals of airborne networks, including channel models, recent regulation developments, self-organized networking, AI-enabled flying networks, and notable applications in a variety of industries.

The book evaluates advances in the cutting-edge of unmanned aerial vehicle wireless network technology while offering readers new ideas on how airborne wireless networks can support various applications expected of future networks. The rapidly developing field is examined from a fresh perspective, one not just concerned with ideas of control, trajectory optimization, and navigation.

Autonomous Airborne Wireless Networks considers several potential use cases for the technology and demonstrates how it can be integrated with concepts from self-organized network technology and artificial intelligence to deliver results in those cases. Readers will also enjoy:

  • A thorough discussion of distributed drone base station positioning for emergency cellular networks using reinforcement learning (AI-enabled trajectory optimization)
  • An exploration of unmanned aerial vehicle-to-wearables (UAV2W) indoor radio propagation channel measurements and modelling
  • An up-to-date treatment of energy minimization in UAV trajectory design for delay tolerant emergency communication
  • Examinations of cache-enabled UAVs, 3D MIMO for airborne networks, and airborne networks for Internet of Things communications

Perfect for telecom engineers and industry professionals working on identifying practical and efficient concepts tailored to overcome challenges facing unmanned aerial vehicles providing wireless communications, Autonomous Airborne Wireless Networks also has a place on the bookshelves of stakeholders, regulators, and research agencies working on the latest developments in UAV communications.

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