Stochastic geometry for wireless networks

La 4e de couverture indique : "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 futur...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Haenggi, Martin, 19..-
Μορφή: Livre papier
Γλώσσα:Anglais
Έκδοση: Cambridge ; New York ; Melbourne [etc.] : Cambridge university press copyright 2013.
Θέματα:
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Edition sous un autre format:• Stochastic geometry for wireless networks, Martin Haenggi, Cambridge, UK, Cambridge University Press, 2012, 1 vol. (302 p.), 978-1-1390-4381-6
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100 1 |a Haenggi, Martin,  |d 19..- 
245 1 0 |a Stochastic geometry for wireless networks   |c Martin Haenggi. 
260 |a Cambridge ;  |a New York ;  |a Melbourne [etc.] :  |b Cambridge university press,  |c copyright 2013. 
300 |a 1 vol. (XV-284 p.) :  |b fig. ;  |c 26 cm. 
504 |a Bibliogr. p. [275]-279. Index 
505 0 |a 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 La 4e de couverture indique : "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 |a Systèmes de communication sans fil  |x Modèles mathématiques 
650 |a Géométrie stochastique 
776 0 |0 174665571  |t Stochastic geometry for wireless networks  |f Martin Haenggi  |c Cambridge, UK  |n Cambridge University Press  |d 2012  |p 1 vol. (302 p.)  |z 978-1-1390-4381-6 
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