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An introduction to cellular network analysis using stochastic geometry (Record no. 34773)

MARC details
000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251013b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031297427
Terms of availability (hbk)
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382
Item number AND
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Andrews, Jeffrey G.
245 ## - TITLE STATEMENT
Title An introduction to cellular network analysis using stochastic geometry
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2023
Place of publication, distribution, etc Cham :
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 87 p. ;
Other physical details ill., (chifly col.),
Dimensions 25 cm
365 ## - TRADE PRICE
Price amount 39.99
Price type code
Unit of pricing 102.62
490 ## - SERIES STATEMENT
Series statement Synthesis lectures on learning, networks, and algorithms
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references.
520 ## - SUMMARY, ETC.
Summary, etc This 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electrical engineering
Topical term or geographic name as entry element Stochastic geometry
Topical term or geographic name as entry element Stochastic models
Topical term or geographic name as entry element Telecommunication
Topical term or geographic name as entry element Wireless communication systems
Topical term or geographic name as entry element Mathematical models
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Gupta, Abhishek K.
Personal name Dhillon, Harpreet S.
Personal name Alammouri, Ahmad
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Koha item type
    Dewey Decimal Classification     DAU DAU 12/10/2025 BBC 4103.77   621.382 AND 036240 13/10/2025 Books