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001 978-3-030-16170-5
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005 20220801220500.0
007 cr nn 008mamaa
008 190514s2019 sz | s |||| 0|eng d
020 _a9783030161705
_9978-3-030-16170-5
024 7 _a10.1007/978-3-030-16170-5
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
_2thema
082 0 4 _a621.382
_223
100 1 _aKazmi, S. M. Ahsan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950555
245 1 0 _aNetwork Slicing for 5G and Beyond Networks
_h[electronic resource] /
_cby S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXI, 148 p. 59 illus., 53 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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 _aThis 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.
650 0 _aTelecommunication.
_910437
650 0 _aComputer networks .
_931572
650 0 _aComputational intelligence.
_97716
650 0 _aPattern recognition systems.
_93953
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Communication Networks.
_950556
650 2 4 _aComputational Intelligence.
_97716
650 2 4 _aAutomated Pattern Recognition.
_931568
700 1 _aKhan, Latif U.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950557
700 1 _aTran, Nguyen H.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950558
700 1 _aHong, Choong Seon.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_950559
710 2 _aSpringerLink (Online service)
_950560
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030161699
776 0 8 _iPrinted edition:
_z9783030161712
776 0 8 _iPrinted edition:
_z9783030161729
856 4 0 _uhttps://doi.org/10.1007/978-3-030-16170-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c78614
_d78614