Stochastic geometry for wireless networks:
Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protoco...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2012
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 UBY01 UER01 URL des Erstveröffentlichers |
| Zusammenfassung: | Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xv, 284 pages) |
| ISBN: | 9781139043816 |
| DOI: | 10.1017/CBO9781139043816 |
Internformat
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| 100 | 1 | |a Haenggi, Martin |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic geometry for wireless networks |c Martin Haenggi, University of Notre Dame, Indiana |
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| 505 | 8 | |a Machine generated contents note: Part I. Point Process Theory: 1. Introduction; 2. Description of point processes; 3. Point process models; 4. Sums and products over point processes; 5. Interference and outage in wireless networks; 6. Moment measures of point processes; 7. Marked point processes; 8. Conditioning and Palm theory; Part II. Percolation, Connectivity and Coverage: 9. Introduction; 10. Bond and site percolation; 11. Random geometric graphs and continuum percolation; 12. Connectivity; 13. Coverage; Appendix: introduction to R. | |
| 520 | |a Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance | ||
| 650 | 4 | |a Mathematik | |
| 650 | 4 | |a Wireless communication systems / Mathematics | |
| 650 | 4 | |a Stochastic models | |
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Datensatz im Suchindex
| _version_ | 1804176886824173568 |
|---|---|
| any_adam_object | |
| author | Haenggi, Martin |
| author_facet | Haenggi, Martin |
| author_role | aut |
| author_sort | Haenggi, Martin |
| author_variant | m h mh |
| building | Verbundindex |
| bvnumber | BV043943169 |
| classification_rvk | SK 820 ST 200 |
| collection | ZDB-20-CBO |
| contents | Machine generated contents note: Part I. Point Process Theory: 1. Introduction; 2. Description of point processes; 3. Point process models; 4. Sums and products over point processes; 5. Interference and outage in wireless networks; 6. Moment measures of point processes; 7. Marked point processes; 8. Conditioning and Palm theory; Part II. Percolation, Connectivity and Coverage: 9. Introduction; 10. Bond and site percolation; 11. Random geometric graphs and continuum percolation; 12. Connectivity; 13. Coverage; Appendix: introduction to R. |
| ctrlnum | (ZDB-20-CBO)CR9781139043816 (OCoLC)967777728 (DE-599)BVBBV043943169 |
| dewey-full | 621.39/80151922 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.39/80151922 |
| dewey-search | 621.39/80151922 |
| dewey-sort | 3621.39 880151922 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1017/CBO9781139043816 |
| format | Electronic eBook |
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| id | DE-604.BV043943169 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:19Z |
| institution | BVB |
| isbn | 9781139043816 |
| language | English |
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| physical | 1 online resource (xv, 284 pages) |
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| publishDate | 2012 |
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| publisher | Cambridge University Press |
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| spelling | Haenggi, Martin Verfasser aut Stochastic geometry for wireless networks Martin Haenggi, University of Notre Dame, Indiana Cambridge Cambridge University Press 2012 1 online resource (xv, 284 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: Part I. Point Process Theory: 1. Introduction; 2. Description of point processes; 3. Point process models; 4. Sums and products over point processes; 5. Interference and outage in wireless networks; 6. Moment measures of point processes; 7. Marked point processes; 8. Conditioning and Palm theory; Part II. Percolation, Connectivity and Coverage: 9. Introduction; 10. Bond and site percolation; 11. Random geometric graphs and continuum percolation; 12. Connectivity; 13. Coverage; Appendix: introduction to R. Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance Mathematik Wireless communication systems / Mathematics Stochastic models Funknetz (DE-588)4216130-7 gnd rswk-swf Stochastische Geometrie (DE-588)4133202-7 gnd rswk-swf Stochastische Geometrie (DE-588)4133202-7 s Funknetz (DE-588)4216130-7 s 1\p DE-604 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-107-01469-5 https://doi.org/10.1017/CBO9781139043816 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Haenggi, Martin Stochastic geometry for wireless networks Machine generated contents note: Part I. Point Process Theory: 1. Introduction; 2. Description of point processes; 3. Point process models; 4. Sums and products over point processes; 5. Interference and outage in wireless networks; 6. Moment measures of point processes; 7. Marked point processes; 8. Conditioning and Palm theory; Part II. Percolation, Connectivity and Coverage: 9. Introduction; 10. Bond and site percolation; 11. Random geometric graphs and continuum percolation; 12. Connectivity; 13. Coverage; Appendix: introduction to R. Mathematik Wireless communication systems / Mathematics Stochastic models Funknetz (DE-588)4216130-7 gnd Stochastische Geometrie (DE-588)4133202-7 gnd |
| subject_GND | (DE-588)4216130-7 (DE-588)4133202-7 |
| title | Stochastic geometry for wireless networks |
| title_auth | Stochastic geometry for wireless networks |
| title_exact_search | Stochastic geometry for wireless networks |
| title_full | Stochastic geometry for wireless networks Martin Haenggi, University of Notre Dame, Indiana |
| title_fullStr | Stochastic geometry for wireless networks Martin Haenggi, University of Notre Dame, Indiana |
| title_full_unstemmed | Stochastic geometry for wireless networks Martin Haenggi, University of Notre Dame, Indiana |
| title_short | Stochastic geometry for wireless networks |
| title_sort | stochastic geometry for wireless networks |
| topic | Mathematik Wireless communication systems / Mathematics Stochastic models Funknetz (DE-588)4216130-7 gnd Stochastische Geometrie (DE-588)4133202-7 gnd |
| topic_facet | Mathematik Wireless communication systems / Mathematics Stochastic models Funknetz Stochastische Geometrie |
| url | https://doi.org/10.1017/CBO9781139043816 |
| work_keys_str_mv | AT haenggimartin stochasticgeometryforwirelessnetworks |