000 | 01493 a2200217 4500 | ||
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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 |