Skip to main content

Device Locations: Point Processes

  • Chapter
  • First Online:
Probabilistic Methods in Telecommunications

Part of the book series: Compact Textbooks in Mathematics ((CTM))

  • 750 Accesses

Abstract

In this chapter, we introduce the basic mathematical model for the random locations of many point-like objects in the Euclidean space, the Poisson point process (PPP) . This process will be used for modeling the places of devices, additional boxes (supporting devices) and/or base stations in space. Apart from this interpretation in telecommunication, the PPP is universally applicable in many situations and is fundamental for the theory of stochastic geometry. The main assumption is a high degree of statistical independence of all the random points, which leads to many explicit and tractable formulas and to the validity of many properties that make a mathematical treatment simple. For these reasons, the PPP is the initial method of choice practically in any spatial telecommunication modeling and the most obvious starting point for a mathematical analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 19.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 29.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Note that the measure μ ⊗ K is defined by \(\mu \otimes K(B)=\int _{B^{{\scriptscriptstyle {({1}})}}}\mu ({\operatorname {d}} x)\, K(x,B_x^{{\scriptscriptstyle {({2}})}})\), where \(B^{{\scriptscriptstyle {({1}})}}=\{x\in D\colon \exists y\in {\mathcal M }\colon (x,y)\in B\}\) and \(B_x^{{\scriptscriptstyle {({2}})}}=\{y\in {\mathcal M }\colon (x,y)\in B\}\).

References

  1. D.J. Daley and D. Vere-Jones, An Introduction to the Theory of Point Processes, Volume I: Elementary Theory and Methods, Second Edition, Springer (2003).

    MATH  Google Scholar 

  2. D.J. Daley and D. Vere-Jones, An Introduction to the Theory of Point Processes, Volume II: General Theory and Structure, Second Edition, Springer (2008).

    Book  Google Scholar 

  3. M. Franceschetti and R. Meester, Random Networks for Communication: From Statistical Physics to Information Systems, Cambridge University Press (2008).

    Google Scholar 

  4. M. Hänggi, Stochastic Geometry for Wireless Networks, Cambridge University Press (2012).

    Google Scholar 

  5. J. Kingman, Poisson Processes, Volume 3 of Oxford Studies in Probability, Oxford University Press, Oxford (1995).

    Google Scholar 

  6. G. Last and M. Penrose, Lectures on the Poisson Process, IMS Textbook, Cambridge University Press (2017).

    Book  Google Scholar 

  7. M.D. Penrose, Random Geometric Graphs, Volume 5 of Oxford Studies in Probability, Oxford University Press, Oxford (2003).

    Book  Google Scholar 

  8. S.I. Resnick, Extreme Values, Regular Variation and Point Processes, Applied Probability. A Series of the Applied Probability Trust 4. Springer, New York (1987).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Jahnel, B., König, W. (2020). Device Locations: Point Processes. In: Probabilistic Methods in Telecommunications. Compact Textbooks in Mathematics. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-36090-0_2

Download citation

Publish with us

Policies and ethics