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020 _a9783030161705
024 7 _a10.1007/978-3-030-16170-5
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aTK5103.2
_b2019 EB
100 1 _aKazmi, S. M. Ahsan
_9670987
245 1 0 _aNetwork Slicing for 5G and Beyond Networks
_cby S. M. Ahsan Kazmi, Latif U. Khan, Nguyen H. Tran, Choong Seon Hong.
264 1 _aCham
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XI, 148 páginas)
_b59 ilustraciones, 53 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
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 3 _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 7 _2embne
_aSistemas de comunicación inalámbricos
_9158044
650 7 _2embne
_aSistemas telefónicos móviles
_9152268
700 1 _aHong, Choong Seon
_eautor
_9670988
700 1 _aKhan, Latif U.
_eautor
_9670989
700 1 _aTran, Nguyen H.
_eautor
_9670990
776 0 8 _iPrinted edition:
_z9783030161699
776 0 8 _iPrinted edition:
_z9783030161712
776 0 8 _iPrinted edition:
_z9783030161729
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-16170-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_ek
_zSI