| 000 | 02709cam a2200325 i 4500 | ||
|---|---|---|---|
| 001 | 17446391 | ||
| 005 | 20191122020002.0 | ||
| 008 | 120829s2013 enka b 001 0 eng | ||
| 010 | _a 2012034887 | ||
| 020 | _a9781107014695 | ||
| 040 |
_aDLC _beng _cDLC _erda _dDLC |
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| 042 | _apcc | ||
| 050 | 0 | 0 |
_aTK5102.83 _b.H33 2013 |
| 082 | 0 | 0 |
_a621.39 _223 _bHAE-S |
| 084 |
_aTEC061000 _2bisacsh |
||
| 100 | 1 | _aHaenggi, Martin | |
| 245 | 1 | 0 |
_aStochastic geometry for wireless networks _cMartin Haenggi, University of Notre Dame, Indiana. |
| 260 |
_aNew York: _bCambridge University Press, _c©2013. |
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| 300 |
_axv, 284 p. : _bill. ; _c26 cm. |
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| 504 | _aIncludes bibliographical references (pages 275-279) and index. | ||
| 505 | 8 | _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. | |
| 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"-- | ||
| 650 | 0 |
_aWireless communication systems _xMathematics. |
|
| 650 | 0 | _aStochastic models. | |
| 650 | 7 |
_aTECHNOLOGY & ENGINEERING / Mobile & Wireless Communications. _2bisacsh |
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| 856 | 4 | 2 |
_3Cover image _uhttp://assets.cambridge.org/97811070/14695/cover/9781107014695.jpg |
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
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| 942 |
_2ddc _cBK _02 |
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| 999 |
_c10431 _d10431 |
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