Stochastic geometry based analytical modeling of cognitive heterogeneous cellular networks

Fereidoun H. Panahi, Tomoaki Ohtsuki

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

8 Citations (Scopus)

Abstract

In this paper, we present a Cognitive Radio (CR) based statistical framework for a two-tier heterogeneous cellular network (macro-femto network) to model the outage probability at any arbitrary secondary user (femto user) and primary user (macro user). A system model based on stochastic geometry (utilizing the theory of a Poisson point process (PPP)) is introduced to model the random locations and topology of both primary and secondary networks (macro-femto networks). We provide an overview of how CR idea facilitates interference mitigation in two-tier heterogeneous networks in the presented model. We also study the effect of several important design factors which play vital roles and are usually ignored in determination of outage and interference. We conduct simulations to evaluate the performance of our proposed schemes in terms of outage probability for different values of signal-to-interference-plus- noise-ratio (SINR) target.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE Computer Society
Pages5281-5286
Number of pages6
ISBN (Print)9781479920037
DOIs
Publication statusPublished - 2014
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: 2014 Jun 102014 Jun 14

Other

Other2014 1st IEEE International Conference on Communications, ICC 2014
CountryAustralia
CitySydney, NSW
Period14/6/1014/6/14

Fingerprint

Outages
Macros
Geometry
Cognitive radio
Heterogeneous networks
Topology

Keywords

  • Cognitive Radio (CR)
  • outage probability
  • stochastic geometry

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Panahi, F. H., & Ohtsuki, T. (2014). Stochastic geometry based analytical modeling of cognitive heterogeneous cellular networks. In 2014 IEEE International Conference on Communications, ICC 2014 (pp. 5281-5286). [6884160] IEEE Computer Society. https://doi.org/10.1109/ICC.2014.6884160

Stochastic geometry based analytical modeling of cognitive heterogeneous cellular networks. / Panahi, Fereidoun H.; Ohtsuki, Tomoaki.

2014 IEEE International Conference on Communications, ICC 2014. IEEE Computer Society, 2014. p. 5281-5286 6884160.

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

Panahi, FH & Ohtsuki, T 2014, Stochastic geometry based analytical modeling of cognitive heterogeneous cellular networks. in 2014 IEEE International Conference on Communications, ICC 2014., 6884160, IEEE Computer Society, pp. 5281-5286, 2014 1st IEEE International Conference on Communications, ICC 2014, Sydney, NSW, Australia, 14/6/10. https://doi.org/10.1109/ICC.2014.6884160
Panahi FH, Ohtsuki T. Stochastic geometry based analytical modeling of cognitive heterogeneous cellular networks. In 2014 IEEE International Conference on Communications, ICC 2014. IEEE Computer Society. 2014. p. 5281-5286. 6884160 https://doi.org/10.1109/ICC.2014.6884160
Panahi, Fereidoun H. ; Ohtsuki, Tomoaki. / Stochastic geometry based analytical modeling of cognitive heterogeneous cellular networks. 2014 IEEE International Conference on Communications, ICC 2014. IEEE Computer Society, 2014. pp. 5281-5286
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