Stochastic geometry analysis of cellular networks:
Achieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distr...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2018
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 URL des Erstveröffentlichers |
Zusammenfassung: | Achieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks. This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources. In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results |
Beschreibung: | Title from publisher's bibliographic system (viewed on 04 Apr 2018) |
Beschreibung: | 1 online resource (xiv, 192 pages) |
DOI: | 10.1017/9781316677339 |
Internformat
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Datensatz im Suchindex
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author | Błaszczyszyn, Bartłomiej 1967- |
author_facet | Błaszczyszyn, Bartłomiej 1967- |
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dewey-search | 621.3845/60151922 |
dewey-sort | 3621.3845 860151922 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.1017/9781316677339 |
format | Electronic eBook |
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id | DE-604.BV045019115 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:06:57Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030404363 |
oclc_num | 1035197511 |
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owner_facet | DE-12 DE-92 |
physical | 1 online resource (xiv, 192 pages) |
psigel | ZDB-20-CBO ZDB-20-CBO BSB_PDA_CBO ZDB-20-CBO FHN_PDA_CBO |
publishDate | 2018 |
publishDateSearch | 2018 |
publishDateSort | 2018 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Błaszczyszyn, Bartłomiej 1967- Verfasser aut Stochastic geometry analysis of cellular networks Bartłomiej Błaszczyszyn [and three others] Cambridge Cambridge University Press 2018 1 online resource (xiv, 192 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 04 Apr 2018) Achieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks. This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources. In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results Wireless communication systems / Mathematics Stochastic models Stochastic geometry Netzplanung (DE-588)4171522-6 gnd rswk-swf Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf Mathematische Modellierung (DE-588)7651795-0 gnd rswk-swf Netzwerktopologie (DE-588)4208537-8 gnd rswk-swf Stochastische Geometrie (DE-588)4133202-7 gnd rswk-swf Netzplanung (DE-588)4171522-6 s Netzwerktopologie (DE-588)4208537-8 s Stochastisches Modell (DE-588)4057633-4 s Mathematische Modellierung (DE-588)7651795-0 s Stochastische Geometrie (DE-588)4133202-7 s 1\p DE-604 Erscheint auch als Druck-Ausgabe, hardback 9781107162587 https://doi.org/10.1017/9781316677339 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Błaszczyszyn, Bartłomiej 1967- Stochastic geometry analysis of cellular networks Wireless communication systems / Mathematics Stochastic models Stochastic geometry Netzplanung (DE-588)4171522-6 gnd Stochastisches Modell (DE-588)4057633-4 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Netzwerktopologie (DE-588)4208537-8 gnd Stochastische Geometrie (DE-588)4133202-7 gnd |
subject_GND | (DE-588)4171522-6 (DE-588)4057633-4 (DE-588)7651795-0 (DE-588)4208537-8 (DE-588)4133202-7 |
title | Stochastic geometry analysis of cellular networks |
title_auth | Stochastic geometry analysis of cellular networks |
title_exact_search | Stochastic geometry analysis of cellular networks |
title_full | Stochastic geometry analysis of cellular networks Bartłomiej Błaszczyszyn [and three others] |
title_fullStr | Stochastic geometry analysis of cellular networks Bartłomiej Błaszczyszyn [and three others] |
title_full_unstemmed | Stochastic geometry analysis of cellular networks Bartłomiej Błaszczyszyn [and three others] |
title_short | Stochastic geometry analysis of cellular networks |
title_sort | stochastic geometry analysis of cellular networks |
topic | Wireless communication systems / Mathematics Stochastic models Stochastic geometry Netzplanung (DE-588)4171522-6 gnd Stochastisches Modell (DE-588)4057633-4 gnd Mathematische Modellierung (DE-588)7651795-0 gnd Netzwerktopologie (DE-588)4208537-8 gnd Stochastische Geometrie (DE-588)4133202-7 gnd |
topic_facet | Wireless communication systems / Mathematics Stochastic models Stochastic geometry Netzplanung Stochastisches Modell Mathematische Modellierung Netzwerktopologie Stochastische Geometrie |
url | https://doi.org/10.1017/9781316677339 |
work_keys_str_mv | AT błaszczyszynbartłomiej stochasticgeometryanalysisofcellularnetworks |