Machine Learning and Intelligent Communications
First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers
Seiten
2017
|
1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-52729-1 (ISBN)
Springer International Publishing (Verlag)
978-3-319-52729-1 (ISBN)
This book constitutes the refereed post-conference proceedings of the International Conference on Machine Learning and Intelligent Communications, MLICOM 2016, held in Shanghai, China in August 2016.
The 41 revised full papers were carefully reviewed and selected from 47 submissions. The papers are organized thematically: data mining in heterogeneous networks, decentralized learning for wireless communication systems, intelligent cooperative/distributed coding, intelligent cooperative networks, Intelligent massive MIMO, time coded multi-user MIMO System based on three dimensional complementary codes, intelligent positioning and navigation systems, intelligent spectrum allocation schemes, machine learning algorithm & cognitive radio networks, machine learning for multimedia.
The 41 revised full papers were carefully reviewed and selected from 47 submissions. The papers are organized thematically: data mining in heterogeneous networks, decentralized learning for wireless communication systems, intelligent cooperative/distributed coding, intelligent cooperative networks, Intelligent massive MIMO, time coded multi-user MIMO System based on three dimensional complementary codes, intelligent positioning and navigation systems, intelligent spectrum allocation schemes, machine learning algorithm & cognitive radio networks, machine learning for multimedia.
Data mining in heterogeneous networks.- decentralized learning for wireless communication systems.- intelligent cooperative/distributed coding, intelligent cooperative networks.- iIntelligent massive MIMO,.- time coded multi-user MIMO system based on three dimensional complementary codes.- intelligent positioning and navigation systems.- intelligent spectrum allocation schemes.- machine learning algorithm &.- cognitive radio networks, machine learning for multimedia.
| Erscheinungsdatum | 19.02.2017 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | XII, 414 p. 200 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Schlagworte | antennas • Applications • Bayesian analysis • Cognitive Radio • Computer Communication Networks • Computer Science • conference proceedings • Data Mining • frequency allocation • Informatics • Localization • machine learning • Modeling • Multiple-input and multiple-output (MIMO) • network algorithms • network hardware • Network Protocols • Netzwerke • power allocation • Research • Routing • sensor networks • Signal Processing • Simulation • Telecommunication networks • wireless communication • wireless networks |
| ISBN-10 | 3-319-52729-0 / 3319527290 |
| ISBN-13 | 978-3-319-52729-1 / 9783319527291 |
| Zustand | Neuware |
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