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Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-24
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper provides an analytical derivation of the probability density function of signal-to-interference-plus-noise ratio in the scenario where mobile stations interfere with each other.
This analysis considers cochannel interference and adjacent channel interference.
This could also remove the need for Monte Carlo simulations when evaluating the interference effect between mobile stations.
Numerical verification shows that the analytical result agrees well with a Monte Carlo simulation.
Also, we applied analytical methods for evaluating the interference effect between mobile stations using adjacent frequency bands.
The analytical derivation of the probability density function can be used to provide the technical criteria for sharing a frequency band.
American Psychological Association (APA)
Son, Ho-Kyung& Kim, Che-Young. 2013. Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1032569
Modern Language Association (MLA)
Son, Ho-Kyung& Kim, Che-Young. Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis. The Scientific World Journal No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1032569
American Medical Association (AMA)
Son, Ho-Kyung& Kim, Che-Young. Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1032569
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032569