000 | 02364nam a22003498i 4500 | ||
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001 | CR9781316677339 | ||
003 | UkCbUP | ||
005 | 20240730160815.0 | ||
006 | m|||||o||d|||||||| | ||
007 | cr|||||||||||| | ||
008 | 151223s2018||||enk o ||1 0|eng|d | ||
020 | _a9781316677339 (ebook) | ||
020 | _z9781107162587 (hardback) | ||
040 |
_aUkCbUP _beng _erda _cUkCbUP |
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050 | 0 | 0 |
_aTK5102.83 _b.B54 2018 |
082 | 0 | 0 |
_a621.3845/60151922 _223 |
100 | 1 |
_aBłaszczyszyn, Bartłomiej, _d1967- _eauthor. _974921 |
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245 | 1 | 0 |
_aStochastic geometry analysis of cellular networks / _cBartłomiej Błaszczyszyn [and three others]. |
264 | 1 |
_aCambridge : _bCambridge University Press, _c2018. |
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300 |
_a1 online resource (xiv, 192 pages) : _bdigital, PDF file(s). |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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500 | _aTitle from publisher's bibliographic system (viewed on 04 Apr 2018). | ||
520 | _aAchieve faster and more efficient network design and optimization with this comprehensive guide. Some of the most prominent researchers in the field explain the very latest analytic techniques and results from stochastic geometry for modelling the signal-to-interference-plus-noise ratio (SINR) distribution in heterogeneous cellular networks. This book will help readers to understand the effects of combining different system deployment parameters on key performance indicators such as coverage and capacity, enabling the efficient allocation of simulation resources. In addition to covering results for network models based on the Poisson point process, this book presents recent results for when non-Poisson base station configurations appear Poisson, due to random propagation effects such as fading and shadowing, as well as non-Poisson models for base station configurations, with a focus on determinantal point processes and tractable approximation methods. Theoretical results are illustrated with practical Long-Term Evolution (LTE) applications and compared with real-world deployment results. | ||
650 | 0 |
_aWireless communication systems _xMathematics. _974652 |
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650 | 0 |
_aStochastic models. _913059 |
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650 | 0 |
_aStochastic geometry. _974922 |
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776 | 0 | 8 |
_iPrint version: _z9781107162587 |
856 | 4 | 0 | _uhttps://doi.org/10.1017/9781316677339 |
942 | _cEBK | ||
999 |
_c84294 _d84294 |