Evolutionary Ensemble Learning Pathloss Prediction for 4G and 5G Flying Base Stations With UAVs-Reference-Cited by-同舟云学术

Evolutionary Ensemble Learning Pathloss Prediction for 4G and 5G Flying Base Stations With UAVs

Published:2023-07 Issue:7 Volume:71 Page:5994-6005
ISSN:0018-926X
Container-title:IEEE Transactions on Antennas and Propagation
language:
Short-container-title:IEEE Trans. Antennas Propagat.

Author:

Sotiroudis Sotirios P.¹^ORCID,Athanasiadou Georgia²,Tsoulos George²^ORCID,Sarigiannidis Panagiotis³^ORCID,Christodoulou Christos G.⁴^ORCID,Goudos Sotirios K.¹^ORCID

Affiliation:

1. Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece

2. Department of Informatics and Telecommunications, Wireless and Mobile Communications Laboratory, University of Peloponnese, Tripolis, Greece

3. Department of Informatics and Telecommunications Engineering, University of Western Macedonia, Kozani, Greece

4. Department of Engineering and Computing, The University of New Mexico, Albuquerque, NM, USA

Funder

ERDF-NSRF programme PANDORA ‘EMF Observatory for wireless communication networks up to 5G with priority the protection of citizens in the Peloponnese Region’

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8/10174790/10105215.pdf?arnumber=10105215

Reference34 articles.

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