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...
| Publicado en: | Scientific World Journal pp. 1 - 7 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=95412555&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 95412555 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 1537744X 1BX5 jtl: Scientific World Journal issn: 1537744X maglogo: N pubinfo: dt: 2013 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 95412555 95412555 NLM24453792 95412555 10.1155/2013/143970 NLM24453792 95412555 ppf: 1 ppct: 6 formats: tig: atl: Derivation of probability density function of signal-to-interference-plus-noise ratio for the MS-to-MS interference analysis. aug: au: Ho-Kyung Son Che-Young Kim Son, Ho-Kyung Kim, Che-Young affil: Radio Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon 305-700, Republic of Korea sug: subj: Models, Theoretical Wireless Communications Equipment and Supplies Probability Computer Simulation Communication Models, Statistical Signal Processing, Computer Assisted Sensitivity and Specificity Systems Analysis Algorithms Comparative Studies Multicenter Studies Evaluation Research Validation Studies ab: 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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