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

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dc.contributor.authorZor, Emirhan
dc.contributor.authorTaskiran, Yusuf
dc.contributor.authorDael, Fares A.
dc.contributor.authorShayea, Ibraheem
dc.contributor.authorRzayeva, Leila
dc.contributor.authorSyzdykova, Zuleikha
dc.date.accessioned2025-03-20T09:44:58Z
dc.date.available2025-03-20T09:44:58Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesi
dc.description2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024 -- 24 February 2024 through 25 February 2024 -- Bhopal -- 200787
dc.description.abstractThis 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. © 2024 IEEE.
dc.identifier.doi10.1109/ICBDML60909.2024.10577299
dc.identifier.endpage302
dc.identifier.isbn979-835037410-0
dc.identifier.scopus2-s2.0-85198901881
dc.identifier.scopusqualityN/A
dc.identifier.startpage295
dc.identifier.urihttps://doi.org/10.1109/ICBDML60909.2024.10577299
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2102
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2024 IEEE International Conference on Big Data and Machine Learning, ICBDML 2024
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250319
dc.subject5G and beyond
dc.subjectHandover management
dc.subjectmachine learning
dc.subjectReinforcement learning
dc.subjectUAV communications
dc.titleAirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework
dc.typeConference Object

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