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

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 ne...

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Main Authors: Ho-Kyung Son, Che-Young Kim
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/143970
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author Ho-Kyung Son
Che-Young Kim
author_facet Ho-Kyung Son
Che-Young Kim
author_sort Ho-Kyung Son
collection DOAJ
description 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.
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series The Scientific World Journal
spelling doaj-art-0e97ef90e29143e6a68ea06936a0afd32025-08-20T02:01:40ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/143970143970Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference AnalysisHo-Kyung Son0Che-Young Kim1Radio Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon 305-700, Republic of KoreaSchool of the Electronics Engineering, Kyungpook National University, Sankyuk-dong, Puk-gu, Daegu 702-701, Republic of KoreaThis 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.http://dx.doi.org/10.1155/2013/143970
spellingShingle Ho-Kyung Son
Che-Young Kim
Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis
The Scientific World Journal
title Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis
title_full Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis
title_fullStr Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis
title_full_unstemmed Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis
title_short Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis
title_sort derivation of probability density function of signal to interference plus noise ratio for the ms to ms interference analysis
url http://dx.doi.org/10.1155/2013/143970
work_keys_str_mv AT hokyungson derivationofprobabilitydensityfunctionofsignaltointerferenceplusnoiseratioforthemstomsinterferenceanalysis
AT cheyoungkim derivationofprobabilitydensityfunctionofsignaltointerferenceplusnoiseratioforthemstomsinterferenceanalysis