Statistical modeling of cognitive network interference
Name
Win-2010-Statistical modeling of cognitive network.pdf
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319.08 KB
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Checksum (MD5)
57ecf889a8aefbfc0f0736f9db1f6875
Author(s)
Rabbachin, Alberto
Quek, Tony Q. S.
Win, Moe Z.
Date Issued
January 2011
Journal
IEEE Global Telecommunications Conference, GLOBECOM 2010
Publisher
Institute of Electrical and Electronics Engineers
Citation
Rabbachin, Alberto, Tony Q. S. Quek, and Moe Z. Win. “Statistical Modeling of Cognitive Network Interference.” GLOBECOM 2010, 2010 IEEE Global Telecommunications Conference 2010. 1-6. © 2011 IEEE.
Version
Final published version
Abstract
In this paper, we propose a new statistical interference model for cognitive network based on the amplitude aggregate interference, which accounts for the parameters related to the sensing procedure, spatial reuse protocol employed by secondary users, and environment dependent conditions like channel fading and shadowing. We derive the characteristic function and the nth cumulant of the cognitive network interference on the primary user. By using the theory of truncated-stable distribution, we show how we can approximate the cognitive network interference analytically. We further show how to apply our model to derive system performance measure such as bit error probability in the presence of cognitive network interference. Moreover, this work can serve to bring additional understanding of cognitive network interference for successful deployment of cognitive networks in the future.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/GLOCOM.2010.5683500
