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Analytical SIR for Self-Organizing Wireless Networks
Jacobs University Bremen.
Jacobs University Bremen.
The University of Edinburgh.ORCID iD: 0000-0001-7642-3067
The University of Edinburgh.
2009 (English)In: EURASIP Journal on Wireless Communications and Networking, ISSN 1687-1472, E-ISSN 1687-1499Article in journal (Refereed) Published
Abstract [en]

The signal to interference ratio (SIR) in the presence of multipath fading, shadowing and path loss is a valuable parameter for studying the capacity of a wireless system. This paper presents a new generalized path loss equation that takes into account the large-scale path loss as well as the small-scale multipath fading. The probability density function (pdf) of the SIR for self-organising wireless networks with Nakagami-mchannel model is analytically derived using the new path loss equation. We chose the Nakagami-mchannel fading model because it encompasses a large class of fading channels. The results presented show good agreement between the analytical and Monte Carlo- based methods. Furthermore, the pdf of the signal to interference plus noise ratio (SINR) is provided as an extension to the SIR derivation. The analytical derivation of the pdf for a single interferer in this paper lays a solid foundation to calculate the statistics for multiple interferers.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2009.
National Category
Communication Systems
URN: urn:nbn:se:kth:diva-66979DOI: 10.1155/2009/912018ISI: 000269204800001OAI: diva2:484777

QC 20120207

Available from: 2012-02-07 Created: 2012-01-27 Last updated: 2016-04-29Bibliographically approved

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