1.

Record Nr.

UNINA9910452958303321

Autore

Haenggi Martin

Titolo

Stochastic geometry for wireless networks / / Martin Haenggi, University of Notre Dame, Indiana [[electronic resource]]

Pubbl/distr/stampa

Cambridge : , : Cambridge University Press, , 2013

ISBN

1-316-08953-3

1-139-79385-3

1-139-77948-6

1-139-78346-7

1-139-78247-9

1-139-77644-4

1-139-04381-1

1-283-71462-0

1-139-77796-3

Descrizione fisica

1 online resource (xv, 284 pages) : digital, PDF file(s)

Disciplina

621.39/80151922

Soggetti

Wireless communication systems - Mathematics

Stochastic models

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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.

Sommario/riassunto

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.

2.

Record Nr.

UNINA9910711996703321

Autore

Wang Wenjuan <1975->

Titolo

The relationship between the health service environment and service utilization : linking population data to health facilities data in Haiti and Malawi / / Wenjuan Wang [and five others]

Pubbl/distr/stampa

Rockville, Maryland, USA : , : ICF International, , 2015

Descrizione fisica

1 online resource (xviii, 105 pages) : color illustrations, color maps

Collana

DHS analytical studies ; ; no. 51

Soggetti

Health surveys - Haiti

Health surveys - Malawi

Health services administration - Haiti

Health services administration - Malawi

Health facilities - Haiti

Health facilities - Malawi

Health facilities

Health services administration

Health surveys

Statistics.

Haiti

Malawi

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"September 2015."



"This publication was produced for review by the United States Agency for International Development"--Cover.

Nota di bibliografia

Includes bibliographical references (pages 75-77).