Optimizing Flying Base Station Connectivity by RAN Slicing and Reinforcement Learning-Reference-Cited by-同舟云学术

Optimizing Flying Base Station Connectivity by RAN Slicing and Reinforcement Learning

Published:2022 Issue: Volume:10 Page:53746-53760
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Carrillo Melgarejo Dick¹^ORCID,Pokorny Jiri²,Seda Pavel²,Narayanan Arun¹^ORCID,Nardelli Pedro H. J.¹^ORCID,Rasti Mehdi¹,Hosek Jiri²^ORCID,Seda Milos³,Rodriguez Demostenes Z.⁴^ORCID,Koucheryavy Yevgeni⁵^ORCID,Fraidenraich Gustavo⁶^ORCID

Affiliation:

1. Department of Electrical Engineering, School of Energy Systems, Lappeenranta-Lahti University of Technology (LUT), Lappeenranta, Finland

2. Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic

3. Institute of Automation and Computer Science, Faculty of Mechanical Engineering, Brno University of Technology, Brno, Czech Republic

4. Department of Computer Science, Federal University of Lavras, Lavras, Minas Gerais, Brazil

5. Unit of Electrical Engineering, Tampere University, Tampere, Finland

6. School of Electrical and Computer Engineering, State University of Campinas (UNICAMP), Campinas, Brazil

Funder

Academy of Finland through the Framework for the Identification of Rare Events via MAchine learning and IoT Networks (FIREMAN) Consortium

EnergyNet Research Fellowship

Jane and Aatos Erkko Foundation through the Swarming Technology for Reliable and Energy-aware Aerial Missions (STREAM) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09775679.pdf?arnumber=9775679

Reference34 articles.

1. Modeling Optimal Location Distribution for Deployment of Flying Base Stations as On-Demand Connectivity Enablers in Real-World Scenarios

2. Deployment Algorithms of Flying Base Stations: 5G and Beyond With UAVs

3. 5G and "IMT for 2020 and beyond" [Spectrum Policy and Regulatory Issues]

4. Beyond 5G With UAVs: Foundations of a 3D Wireless Cellular Network

5. Joint 3D Maneuver and Power Adaptation for Secure UAV Communication With CoMP Reception

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