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 p...

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Bibliographic Details
Main Author: Haenggi, Martin
Corporate Author: ebrary, Inc
Format: Electronic eBook
Language:English
Published: Cambridge : Cambridge University Press, 2013.
Subjects:
Online Access:An electronic book accessible through the World Wide Web; click to view
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020 |z 9781107014695 (hardback) 
020 |z 9781139782470 (e-book) 
040 |a CaPaEBR  |c CaPaEBR 
035 |a (OCoLC)815970700 
050 1 4 |a TK5102.83  |b .H33 2013eb 
082 0 4 |a 621.39/80151922  |2 23 
100 1 |a Haenggi, Martin. 
245 1 0 |a Stochastic geometry for wireless networks  |h [electronic resource] /  |c Martin Haenggi. 
260 |a Cambridge :  |b Cambridge University Press,  |c 2013. 
300 |a xv, 284 p. :  |b ill. 
504 |a Includes bibliographical references and index. 
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"--  |c Provided by publisher. 
533 |a Electronic reproduction.  |b Palo Alto, Calif. :  |c ebrary,  |d 2011.  |n Available via World Wide Web.  |n Access may be limited to ebrary affiliated libraries. 
650 0 |a Wireless communication systems  |x Mathematics. 
650 0 |a Stochastic models. 
655 7 |a Electronic books.  |2 local 
710 2 |a ebrary, Inc. 
856 4 0 |u http://site.ebrary.com/lib/daystar/Doc?id=10618592  |z An electronic book accessible through the World Wide Web; click to view 
999 |c 197385  |d 197385