Stochastic Geometry for Wireless Networks
Material type:
TextLanguage: English Publication details: Delhi Cambridge University Press 2013Description: xv, 284 pISBN: - 9781107014695
- 621.3980151922Â HAE/S
| Item type | Current library | Collection | Call number | Status | Barcode | |
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Reference
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Indian Institute of Technology Tirupati | Electrical | REF 621.3980151922 HaeS (Browse shelf(Opens below)) | Not for loan | 08061 | |
Books
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Indian Institute of Technology Tirupati | Electrical | 621.3980151922 HAE/S (Browse shelf(Opens below)) | Available | 08062 | |
Books
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Indian Institute of Technology Tirupati | Electrical | 621.3980151922 HAE/S (Browse shelf(Opens below)) | Available | 08063 |
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| REF 621.395028551 MicS Synthesis and Optimization of Digital Circuits | REF 621.39732 BakC4 CMOS : | REF 621.39732 LeeD The Design of CMOS Radio-Frequency Integrated Circuits/ | REF 621.3980151922 HaeS Stochastic Geometry for Wireless Networks | REF 621.46 BolE Eletric Drives / | REF 621.46 KimE Electric Motor Control : DC, AC, and BLDC Motors / | REF 621.51 ParH3 Hydraulics and Pneumatics : A Technician's and Engineer's Guide |
Machine 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.
"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"--
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