IoRT Data Collection With LEO Satellite-Assisted and Cache-Enabled UAV: A Deep Reinforcement Learning Approach-Reference-Cited by-同舟云学术

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IoRT Data Collection With LEO Satellite-Assisted and Cache-Enabled UAV: A Deep Reinforcement Learning Approach

Published:2023 Issue: Volume: Page:1-13
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhang Shuai¹^ORCID,Cai Tianzhang¹^ORCID,Wu Di¹^ORCID,Schupke Dominic²^ORCID,Ansari Nirwan³^ORCID,Cavdar Cicek¹^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden

2. Airbus, Central Research and Technology, Ottobrunn/Munich, Germany

3. Advanced Networking Laboratory, Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

Funder

CELTIC-NEXT Project, 6G for Connected Sky

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10328395.pdf?arnumber=10328395

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1. QoE Maximization for Video Streaming in Cache-Enable Satellite-UAV-Terrestrial Network;ICC 2024 - IEEE International Conference on Communications;2024-06-09

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