Overview
Part of the book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 291)
Included in the following conference series:
Conference proceedings info: CrownCom 2019.
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Table of contents (30 papers)
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Main Track
Other volumes
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Cognitive Radio-Oriented Wireless Networks
Keywords
- 5G
- antennas
- broadband networks
- cognitive radio
- communication
- computer networks
- crowdsensing
- mobile telecommunication systems
- OFDM
- radio
- radio environment maps
- sensors
- signal processing
- spectrum discovery
- telecommunication networks
- telecommunication traffic
- wireless networks
- wireless telecommunication systems
About this book
This book constitutes the refereed proceedings of the 14th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2019, held in Poznan, Poland, in June 2019. The 30 revised full papers were selected from 48 submissions and present a large scope of research topic also covering IoT in 5G and how cognitive mechanisms shall help leveraging access for numerous devices; mmWave and how specific propagation and operation in these bands bring new sharing mechanisms ; how resource allocation amongst bands (including offload mechanisms) shall be solved. The key focus will be on how rich data analysis can improve the delivery of above defined services.
Editors and Affiliations
Bibliographic Information
Book Title: Cognitive Radio-Oriented Wireless Networks
Book Subtitle: 14th EAI International Conference, CrownCom 2019, Poznan, Poland, June 11–12, 2019, Proceedings
Editors: Adrian Kliks, Paweł Kryszkiewicz, Faouzi Bader, Dionysia Triantafyllopoulou, Carlos E. Caicedo, Aydin Sezgin, Nikos Dimitriou, … Michał Sybis
Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
DOI: https://doi.org/10.1007/978-3-030-25748-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019
Softcover ISBN: 978-3-030-25747-7Published: 12 August 2019
eBook ISBN: 978-3-030-25748-4Published: 10 August 2019
Series ISSN: 1867-8211
Series E-ISSN: 1867-822X
Edition Number: 1
Number of Pages: XI, 410
Number of Illustrations: 77 b/w illustrations, 166 illustrations in colour
Topics: Computer Communication Networks, Data Structures and Information Theory, Machine Learning