000841029 000__ 02776cam\a2200373\a\4500 000841029 001__ 841029 000841029 005__ 20210515151744.0 000841029 006__ m\\\\\o\\d\\\\\\\\ 000841029 007__ cr\cn\nnnunnun 000841029 008__ 120829s2013\\\\enka\\\\ob\\\\001\0\eng\d 000841029 010__ $$z 2012034887 000841029 020__ $$z9781107014695 000841029 020__ $$z9781139782470$$q(electronic book) 000841029 035__ $$a(MiAaPQ)EBC1042477 000841029 035__ $$a(Au-PeEL)EBL1042477 000841029 035__ $$a(CaPaEBR)ebr10618592 000841029 035__ $$a(CaONFJC)MIL402712 000841029 035__ $$a(OCoLC)819508220 000841029 040__ $$aMiAaPQ$$cMiAaPQ$$dMiAaPQ 000841029 050_4 $$aTK5102.83$$b.H33 2013 000841029 08204 $$a621.39/80151922$$223 000841029 1001_ $$aHaenggi, Martin. 000841029 24510 $$aStochastic geometry for wireless networks$$h[electronic resource] /$$cMartin Haenggi. 000841029 260__ $$aCambridge :$$bCambridge University Press,$$c2013. 000841029 300__ $$axv, 284 p. :$$bill. 000841029 504__ $$aIncludes bibliographical references and index. 000841029 5058_ $$aMachine generated contents note: Part I. Point Process Theory: 1. Introduction; 2. Description of point processes; 3. Point process models; 4. Sums and products over point processes; 5. Interference and outage in wireless networks; 6. Moment measures of point processes; 7. Marked point processes; 8. Conditioning and Palm theory; Part II. Percolation, Connectivity and Coverage: 9. Introduction; 10. Bond and site percolation; 11. Random geometric graphs and continuum percolation; 12. Connectivity; 13. Coverage; Appendix: introduction to R. 000841029 506__ $$aAccess limited to authorized users. 000841029 520__ $$a"Covering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance"--$$cProvided by publisher. 000841029 650_0 $$aWireless communication systems$$xMathematics. 000841029 650_0 $$aStochastic models. 000841029 852__ $$bebk 000841029 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1042477$$zOnline Access 000841029 909CO $$ooai:library.usi.edu:841029$$pGLOBAL_SET 000841029 980__ $$aEBOOK 000841029 980__ $$aBIB 000841029 982__ $$aEbook 000841029 983__ $$aOnline