Network Slicing for 5G and Beyond Networks (Record no. 78614)

000 -LEADER
fixed length control field 03957nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-030-16170-5
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220500.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190514s2019 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030161705
-- 978-3-030-16170-5
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
100 1# - AUTHOR NAME
Author Kazmi, S. M. Ahsan.
245 10 - TITLE STATEMENT
Title Network Slicing for 5G and Beyond Networks
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XI, 148 p. 59 illus., 53 illus. in color.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- 5G Networks -- 5G Deliverable -- 5G Networks: Industrial efforts -- Challenges to realize 5G Networks -- Network Slicing -- Network Slicing Enablers -- Wireless Network Virtualization -- Evolution of Cellular Networks -- Network Slicing: Industrial Efforts and Use Cases -- Machine Learning and Network Slicing -- Role of Machine Learning and Data Analytics in Network Slicing -- Machine Learning Deliverable for 5G Networks -- Resource Management for Network Slicing -- Radio Access Network (RAN) resources -- Core Network (CN) Resources -- Resource management approaches for Network Slicing -- Network Slicing: Use-Cases for Vertical Industries -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc This book provides a comprehensive guide to the emerging field of network slicing and its importance to bringing novel 5G applications into fruition. The authors discuss the current trends, novel enabling technologies, and current challenges imposed on the cellular networks. Resource management aspects of network slicing are also discussed by summarizing and comparing traditional game theoretic and optimization based solutions. Finally, the book presents some use cases of network slicing and applications for vertical industries. Topics include 5G deliverables, Radio Access Network (RAN) resources, and Core Network (CN) resources. Discusses the 5G network requirements and the challenges therein and how network slicing offers a solution Features the enabling technologies of future networks and how network slicing will play a role Presents the role of machine learning and data analytics for future cellular networks along with summarizing the machine learning approaches for 5G and beyond networks.
700 1# - AUTHOR 2
Author 2 Khan, Latif U.
700 1# - AUTHOR 2
Author 2 Tran, Nguyen H.
700 1# - AUTHOR 2
Author 2 Hong, Choong Seon.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-16170-5
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2019.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer networks .
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Pattern recognition systems.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Communication Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Automated Pattern Recognition.
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

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