Next-Generation Wireless Networks Meet Advanced Machine Learning Applications

Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
Author: Com?a, Ioan-Sorin
Publisher: IGI Global
Total Pages: 379
Release: 2019-01-25
Genre: Technology & Engineering
ISBN: 152257459X


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The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.


Next-Generation Wireless Networks Meet Advanced Machine Learning Applications
Language: en
Pages: 379
Authors: Com?a, Ioan-Sorin
Categories: Technology & Engineering
Type: BOOK - Published: 2019-01-25 - Publisher: IGI Global

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The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This d
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This publication represents the best thinking and solutions to a myriad of contemporary issues in wireless networks. Coverage includes wireless LANs, multihop w
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Recent technology trends involving the combination of mobile networks and cloud computing have offered new chances for mobile network providers to use specific