Description
Machine Learning and Intelligent Communications, 1st ed. 2017
First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Series, Vol. 183
Coordinator: Xin-lin Huang
Language: English
Subjects for Machine Learning and Intelligent Communications:
Keywords
antennas; Bayesian analysis; cognitive radio; data mining; frequency allocation; localization; machine learning; modeling; multiple-input and multiple-output (MIMO); network algorithms; network protocols; power allocation; routing; sensor networks; signal processing; simulation; telecommunication networks; wireless communication; wireless networks
Support: Print on demand
Description
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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.
Includes supplementary material: sn.pub/extras
