2.50
Hdl Handle:
http://hdl.handle.net/10547/593539
Title:
Approximations of EESM effective SNR distribution
Authors:
Song, Hui; Kwan, Raymond; Zhang, Jie
Abstract:
The Probability Density Function (PDF) or Cumulative Distribution Function (CDF) of the effective Signal to Noise Ratio (SNR) is an important statistical characterization in the performance analysis of an Orthogonal Frequency Division Multiple Access (OFDMA) system using Exponential Effective SNR Mapping (EESM). However, the exact closed form of PDF is extremely difficult to obtain. A general approximation method known as Moment Matching Approximating (MMA) is used to approximate the distribution of effective SNR by a simple expression. In this paper, the approximation by Gaussian, Generalized Extreme Value (GEV) and Pearson distribution are studied. Results show that Gaussian approximation is very useful when the number of sub-carriers is sufficiently large. Both GEV and Pearson approximation are accurate enough in approximating the distribution of effective SNR in a general case.
Affiliation:
University of Bedfordshire
Citation:
Song, H., Kwan, R., Zhang, J. (2011) 'Approximations of EESM Effective SNR Distribution' IEEE Transactions on Communications 59 (2):603
Publisher:
IEEE
Journal:
IEEE Transactions on Communications
Issue Date:
Feb-2011
URI:
http://hdl.handle.net/10547/593539
DOI:
10.1109/TCOMM.2011.011811.100056
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5699418
Type:
Article
Language:
en
ISSN:
0090-6778
Appears in Collections:
Centre for Wireless Research (CWR)

Full metadata record

DC FieldValue Language
dc.contributor.authorSong, Huien
dc.contributor.authorKwan, Raymonden
dc.contributor.authorZhang, Jieen
dc.date.accessioned2016-01-15T13:36:30Zen
dc.date.available2016-01-15T13:36:30Zen
dc.date.issued2011-02en
dc.identifier.citationSong, H., Kwan, R., Zhang, J. (2011) 'Approximations of EESM Effective SNR Distribution' IEEE Transactions on Communications 59 (2):603en
dc.identifier.issn0090-6778en
dc.identifier.doi10.1109/TCOMM.2011.011811.100056en
dc.identifier.urihttp://hdl.handle.net/10547/593539en
dc.description.abstractThe Probability Density Function (PDF) or Cumulative Distribution Function (CDF) of the effective Signal to Noise Ratio (SNR) is an important statistical characterization in the performance analysis of an Orthogonal Frequency Division Multiple Access (OFDMA) system using Exponential Effective SNR Mapping (EESM). However, the exact closed form of PDF is extremely difficult to obtain. A general approximation method known as Moment Matching Approximating (MMA) is used to approximate the distribution of effective SNR by a simple expression. In this paper, the approximation by Gaussian, Generalized Extreme Value (GEV) and Pearson distribution are studied. Results show that Gaussian approximation is very useful when the number of sub-carriers is sufficiently large. Both GEV and Pearson approximation are accurate enough in approximating the distribution of effective SNR in a general case.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5699418en
dc.rightsArchived with thanks to IEEE Transactions on Communicationsen
dc.subjectProbability Density Functionen
dc.subjectEESMen
dc.subjectExponential Effective SNR Mappingen
dc.subjectOFDMAen
dc.subjectSignal to Noise Ratioen
dc.titleApproximations of EESM effective SNR distributionen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalIEEE Transactions on Communicationsen
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