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001 978-3-031-29743-4
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008 230630s2023 sz | s |||| 0|eng d
020 _a9783031297434
_9978-3-031-29743-4
024 7 _a10.1007/978-3-031-29743-4
_2doi
050 4 _aQA76.9.M35
050 4 _aQA276-280
072 7 _aUYAM
_2bicssc
072 7 _aPBT
_2bicssc
072 7 _aCOM014000
_2bisacsh
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_2thema
072 7 _aPBT
_2thema
082 0 4 _a004.0151
_223
100 1 _aAndrews, Jeffrey G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984850
245 1 3 _aAn Introduction to Cellular Network Analysis Using Stochastic Geometry
_h[electronic resource] /
_cby Jeffrey G. Andrews, Abhishek K. Gupta, Ahmad Alammouri, Harpreet S. Dhillon.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2023.
300 _aXVII, 87 p. 18 illus., 16 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Learning, Networks, and Algorithms,
_x2690-4314
505 0 _aAcknowledgments -- Introduction -- Key Background on Stochastic Geometry -- Downlink Analysis -- Uplink Analysis -- Heterogeneous Cellular Network Analysis -- Dense Cellular Networks -- Extensions -- Bibliography.
520 _aThis book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonical downlink and uplink settings, analyses of heterogeneous cellular networks and dense cellular networks are also included. For each of these settings, the focus is on the calculation of coverage probability, which gives the complementary cumulative distribution function (ccdf) of signal-to-interference-and-noise ratio (SINR) and is the complement of the outage probability. Using this, other key performance metrics, such as the area spectral efficiency, are also derived. These metrics are especially useful in understanding the effect of densification on network performance. In order to make this a truly self-contained reference, all the required background material from stochastic geometry is introduced in a coherent and digestible manner. This Book: Provides an approachable introduction to the analysis of cellular networks and illuminates key system dependencies Features an approach based on stochastic geometry as applied to cellular networks including both downlink and uplink Focuses on the statistical distribution of signal-to-interference-and-noise ratio (SINR) and related metrics.
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aMathematical statistics.
_99597
650 0 _aTelecommunication.
_910437
650 0 _aComputer Networks.
_93740
650 0 _aElectrical engineering.
_984853
650 0 _aStochastic processes.
_93246
650 0 _aWireless communication systems.
_93474
650 0 _aMobile communication systems.
_94051
650 1 4 _aProbability and Statistics in Computer Science.
_931857
650 2 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aComputer Networks.
_93740
650 2 4 _aElectrical and Electronic Engineering.
_984857
650 2 4 _aStochastic Networks.
_984778
650 2 4 _aWireless and Mobile Communication.
_984860
700 1 _aGupta, Abhishek K.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984861
700 1 _aAlammouri, Ahmad.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984863
700 1 _aDhillon, Harpreet S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_984864
710 2 _aSpringerLink (Online service)
_984866
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031297427
776 0 8 _iPrinted edition:
_z9783031297441
776 0 8 _iPrinted edition:
_z9783031354922
830 0 _aSynthesis Lectures on Learning, Networks, and Algorithms,
_x2690-4314
_984868
856 4 0 _uhttps://doi.org/10.1007/978-3-031-29743-4
912 _aZDB-2-SXSC
942 _cEBK
999 _c85735
_d85735