000			01493 a2200217 4500
003			OSt
005			20240216101531.0
008			240216b xxu||||| |||| 00| 0 eng d
020			_a9781107014695
040			_cIIT Kanpur
041			_aeng
082			_a621.3980151922 _bH118s
100			_aHaenggi, Martin
245			_aStochastic geometry for wireless networks _cMartin Haenggi
260			_bCambridge University Press _c2013 _aCambridge
300			_axv, 284p
520			_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.
650			_aWireless communication systems -- Mathematics
650			_aStochastic models
942			_cBK
999			_c558327 _d558327