Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis

Joint Authors

Son, Ho-Kyung
Kim, Che-Young

Source

The Scientific World Journal

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