000 04156nam a22005055i 4500
001 978-81-322-3721-1
003 DE-He213
005 20220801220905.0
007 cr nn 008mamaa
008 170927s2017 ii | s |||| 0|eng d
020 _a9788132237211
_9978-81-322-3721-1
024 7 _a10.1007/978-81-322-3721-1
_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 _aKakadia, Deepak.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952935
245 1 0 _aNetwork Performance and Fault Analytics for LTE Wireless Service Providers
_h[electronic resource] /
_cby Deepak Kakadia, Jin Yang, Alexander Gilgur.
250 _a1st ed. 2017.
264 1 _aNew Delhi :
_bSpringer India :
_bImprint: Springer,
_c2017.
300 _aXVIII, 204 p. 146 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _a This book is intended to describe how to leverage emerging technologies big data analytics and SDN, to address challenges specific to LTE and IP network performance and fault management data in order to more efficiently manage and operate an LTE wireless networks. The proposed integrated solutions permit the LTE network service provider to operate entire integrated network, from RAN to Core , from UE to application service, as one unified system and correspondingly collect and align disparate key metrics and data, using an integrated and holistic approach to network analysis. The LTE wireless network performance and fault involves the network performance and management of network elements in EUTRAN, EPC and IP transport components, not only as individual components, but also as nuances of inter-working of these components. The key metrics for EUTRAN include radio access network accessibility, retainability, integrity, availability and mobility. The key metrics for EPC include MME accessibility, mobility and capacity, SGW, PGW capacity and connectivity. In the first parts of the book, the authors  describe fundamental analytics techniques, and various key network partitions - RAN, Backhaul, Metro and Core of a typical LTE Wireless Service Provider Network. The second part of the book develops more advanced analytic techniques that can be used to solve complex wireless network problems. The second part of this book also describes practical and novel solutions for LTE service network performance and fault management systems using big data engineering. Self-organizing network (SON) architecture is presented as a way to utilize network performance and fault analytics to enable network automation. SON can significantly improve operational efficiencies and speed up network deployment. This book provides various ways to leverage data science to more intelligently and reliably to automate and manage a wireless network. The contents of the book should be useful to professional engineers and networking experts involved in LTE network operations and management. The content will also be of interest to researchers, academic and corporate, interested in the developments in fault analytics in LTE networks.
650 0 _aTelecommunication.
_910437
650 0 _aComputer networks .
_931572
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Communication Networks.
_952936
700 1 _aYang, Jin.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952937
700 1 _aGilgur, Alexander.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_952938
710 2 _aSpringerLink (Online service)
_952939
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9788132237198
776 0 8 _iPrinted edition:
_z9788132237204
776 0 8 _iPrinted edition:
_z9788132238959
856 4 0 _uhttps://doi.org/10.1007/978-81-322-3721-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79051
_d79051