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_aSpringerLink (Online service) _9106996 |
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_c110962 _d110962 |
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| 001 | 110962 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113447.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 190514s2019 gw a o |||| 0|eng d | ||
| 020 | _a9783030161705 | ||
| 024 | 7 |
_a10.1007/978-3-030-16170-5 _2doi |
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| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
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| 050 | 4 |
_aTK5103.2 _b2019 EB |
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| 100 | 1 |
_aKazmi, S. M. Ahsan _9670987 |
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| 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 |
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| 300 |
_a1 recurso en línea (XI, 148 páginas) _b59 ilustraciones, 53 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF |
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| 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 |
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| 650 | 7 |
_2embne _aSistemas telefónicos móviles _9152268 |
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| 700 | 1 |
_aHong, Choong Seon _eautor _9670988 |
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| 700 | 1 |
_aKhan, Latif U. _eautor _9670989 |
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| 700 | 1 |
_aTran, Nguyen H. _eautor _9670990 |
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| 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 |
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| 988 | _aPrimersemestre_2019_Engineering | ||
| 998 |
_aSI _cm _dz _feng _ggw _h0 _b10/2019 _ek _zSI |
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