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AirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework

  • Emirhan Zor*
  • , Yusuf Taskiran
  • , Fares A. Dael
  • , Ibraheem Shayea
  • , Leila Rzayeva
  • , Zuleikha Syzdykova
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Istanbul Technical University
  • Izmir Bakircay University
  • Astana IT University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

2 Atıf (Scopus)

Özet

This study presents AirWave, an innovative modeling framework tailored to address the challenges associated with integrating Unmanned Aerial Vehicles (UAVs) into 5G and future cellular networks. With the rising prominence of UAVs across various industries, ensuring uninterrupted connectivity and efficient mobility management within cellular networks becomes paramount. AirWave offers a comprehensive simulation environment, amalgamating network and physics simulations using ns-3 for network simulation, Gazebo for physics simulation, and integrating PX4 autopilot for realistic UAV flight dynamics. This framework facilitates in-depth investigations into UAV mobility and handover management, including a trajectory optimization technique based on reinforcement learning for cellular-connected drones. Extensive simulations demonstrate the versatility and effectiveness of AirWave, showcasing notable improvements in UAV range, connectivity, and management within cellular networks. These findings hold significant promise for advancing research and practical applications in UAV communications.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar295-302
Sayfa sayısı8
ISBN (Elektronik)9798350374100
DOI'lar
Yayın durumuYayınlandı - 2024
Etkinlik2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024 - Bhopal, India
Süre: 24 Şub 202425 Şub 2024

Yayın serisi

Adı2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024

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???event.eventtypes.event.conference???2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024
Ülke/BölgeIndia
ŞehirBhopal
Periyot24/02/2425/02/24

Bibliyografik not

Publisher Copyright:
© 2024 IEEE.

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