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Next-generation wireless networks me...

Comsa, Ioan-Sorin, (1984-)

Next-generation wireless networks meet advanced machine learning applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Next-generation wireless networks meet advanced machine learning applicationsIoan-Sorin Comsa and Ramona Trestian, editors.
other author:	Comsa, Ioan-Sorin,
Published:	Hershey, Pennsylvania :IGI Global,[2019]
Description:	1 online resource (xxii, 356 p.)
Subject:	Cognitive radio networks.
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7458-3
ISBN:	9781522574590 (e-book)

Next-generation wireless networks meet advanced machine learning applications
Next-generation wireless networks meet advanced machine learning applications[electronic resource] /Ioan-Sorin Comsa and Ramona Trestian, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxii, 356 p.)

Includes bibliographical references and index.

Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.

Restricted to subscribers or individual electronic text purchasers.

"This book explores the latest trends in various technologies of next generation wireless networks. It looks into the use of machine learning techniques to model various technical problems of next-generation systems that will enable the dynamic optimization of system configuration"--Provided by publisher.

ISBN: 9781522574590 (e-book)Subjects--Topical Terms:

338667
Cognitive radio networks.

LC Class. No.: TK5103.4815 / .N49 2019e

Dewey Class. No.: 006.3/1

Next-generation wireless networks meet advanced machine learning applications
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245 0 0 $a Next-generation wireless networks meet advanced machine learning applications $h [electronic resource] / $c Ioan-Sorin Comsa and Ramona Trestian, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2019]
300 $a 1 online resource (xxii, 356 p.)
504 $a Includes bibliographical references and index.
505 0 $a Section 1. Machine learning evolution for wireless communications. Chapter 1. The role and applications of machine learning in future self-organizing cellular networks ; Chapter 2. Machine learning in radio resource scheduling ; Chapter 3. Machine learning for internet of things ; Chapter 4. A survey on routing protocols of wireless sensor networks: a reliable data transfer using multiple sink for disaster management ; Chapter 5. Review: effective solutions for challenges in cognitive radio networks ; Chapter 6. Overview of machine learning approaches for wireless communication ; Chapter 7. Machine learning in wireless communication: a Survey -- Section 2. Machine learning and artificial intelligence applications. Chapter 8. Guaranteeing user rates with reinforcement learning in 5g radio access networks ; Chapter 9. Online learning and heuristic algorithms for 5g cloud-RAN load balance ; Chapter 10. Machine learning-based subjective quality estimation for video streaming over wireless networks ; Chapter 11. Adaptive principal component analysis-based outliers detection through neighborhood voting in wireless sensor networks ; Chapter 12. Intelligent tracking and positioning of targets using passive sensing systems ; Chapter 13. Cheerbot: a step ahead of conventional chatbot.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the latest trends in various technologies of next generation wireless networks. It looks into the use of machine learning techniques to model various technical problems of next-generation systems that will enable the dynamic optimization of system configuration"--Provided by publisher.
650 0 $a Cognitive radio networks. $3 338667
650 0 $a Wireless communication systems $x Automatic control. $3 843410
650 0 $a Self-organizing systems. $3 189005
650 0 $a Machine learning. $3 188639
700 1 $a Comsa, Ioan-Sorin, $d 1984- $e editor. $3 843409
700 1 $a Trestian, Ramona, $d 1983- $3 582101
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7458-3