000			02756nam a22003738i 4500
001			CR9781139043816
005			20250919142051.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110302s2013||||enk o ||1 0|eng|d
020			_a9781139043816 (ebook)
020			_z9781107014695 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTK5102.83 _b.H33 2013
082	0	0	_a621.39/80151922 _223
100	1		_aHaenggi, Martin, _eauthor.
245	1	0	_aStochastic geometry for wireless networks / _cMartin Haenggi, University of Notre Dame, Indiana.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xv, 284 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
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			_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		0	_aWireless communication systems _xMathematics.
650		0	_aStochastic models.
776	0	8	_iPrint version: _z9781107014695
856	4	0	_uhttps://doi.org/10.1017/CBO9781139043816
907			_a.b16847647 _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16847647
999			_c652107 _d652107