LEADER 03519nam 22006612 450 001 9910452958303321 005 20151005020622.0 010 $a1-316-08953-3 010 $a1-139-79385-3 010 $a1-139-77948-6 010 $a1-139-78346-7 010 $a1-139-78247-9 010 $a1-139-77644-4 010 $a1-139-04381-1 010 $a1-283-71462-0 010 $a1-139-77796-3 035 $a(CKB)2550000000708205 035 $a(EBL)1042477 035 $a(OCoLC)819508220 035 $a(SSID)ssj0000756994 035 $a(PQKBManifestationID)11467459 035 $a(PQKBTitleCode)TC0000756994 035 $a(PQKBWorkID)10753498 035 $a(PQKB)11686412 035 $a(UkCbUP)CR9781139043816 035 $a(MiAaPQ)EBC1042477 035 $a(WaSeSS)IndRDA00052773 035 $a(PPN)174665571 035 $a(Au-PeEL)EBL1042477 035 $a(CaPaEBR)ebr10618592 035 $a(CaONFJC)MIL402712 035 $a(EXLCZ)992550000000708205 100 $a20110302d2013|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStochastic geometry for wireless networks /$fMartin Haenggi, University of Notre Dame, Indiana$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2013. 215 $a1 online resource (xv, 284 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-01469-7 320 $aIncludes bibliographical references and index. 327 $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. 330 $aCovering 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. 606 $aWireless communication systems$xMathematics 606 $aStochastic models 615 0$aWireless communication systems$xMathematics. 615 0$aStochastic models. 676 $a621.39/80151922 700 $aHaenggi$b Martin$0763312 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910452958303321 996 $aStochastic geometry for wireless networks$91548497 997 $aUNINA