Aggregate interference in random CSMA/CA networks

June Hwang, Jinho Choi, Riku Jäntti, Seong Lyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we investigate the cumulative distribution function (CDF) of the aggregate interference in CSMA/CA networks measured at an arbitrary time and position. We assume that nodes are deployed in an infinite two-dimensional plane by the Poisson point process (PPP). To find the effective active node density we analyze the distributed coordinate function (DCF) dynamics in a common sensing area and obtain the steady-state power distribution. The results of a massive simulation using Network Simulator-2 (NS-2) show a high correlation with the derived CDF.

Original languageEnglish
Title of host publicationCognitive Radio Oriented Wireless Networks - 11th International Conference, CROWNCOM 2016, Proceedings
EditorsDominique Noguet, Klaus Moessner, Jacques Palicot
PublisherSpringer Verlag
Pages424-436
Number of pages13
ISBN (Print)9783319403519
DOIs
Publication statusPublished - 2016 Jan 1
Event11th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2016 - Grenoble, France
Duration: 2016 May 302016 Jun 1

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume172
ISSN (Print)1867-8211

Other

Other11th International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2016
CountryFrance
CityGrenoble
Period16/5/3016/6/1

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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  • Cite this

    Hwang, J., Choi, J., Jäntti, R., & Kim, S. L. (2016). Aggregate interference in random CSMA/CA networks. In D. Noguet, K. Moessner, & J. Palicot (Eds.), Cognitive Radio Oriented Wireless Networks - 11th International Conference, CROWNCOM 2016, Proceedings (pp. 424-436). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 172). Springer Verlag. https://doi.org/10.1007/978-3-319-40352-6_35