DocumentCode
2332481
Title
Analytical Approximations of EESM Effective SNR Distribution Using Pearson System
Author
Song, Hui ; Kwan, Raymond ; Zhang, Jie
Author_Institution
Centre for Wireless Network Design, Univ. of Bedfordshire, Luton, UK
fYear
2011
fDate
15-18 May 2011
Firstpage
1
Lastpage
5
Abstract
Link adaptation is an important technique in achieving good system spectral efficiency. However, due to the effect of frequency selective fading, the SNRs of adjacent sub-carriers in an OFDMA system can potentially be different. To provide a reasonable signalling overhead, the smallest unit of channel quality feedback is represented in terms of a group of sub-carrier SNRs, or effective SNR for short. The knowledge of the PDF or CDF of the effective SNR can be very useful in performance analysis of systems involving frequency selective feedback. However, closed-form expressions of these statistical quantities are very difficult to obtained. In this paper, we propose to approximate these quantities using the method of Pearson system. Numerical results show that the proposed approximation is very accurate.
Keywords
approximation theory; fading channels; frequency division multiple access; higher order statistics; radio links; spectral analysis; wireless channels; EESM effective SNR distribution; OFDMA system; Pearson system; adjacent sub-carrier; analytical approximation; channel quality feedback; cumulative distribution function; exponential effective SNR mapping; frequency selective fading; link adaptation; orthogonal frequency division multiple access; probability density function; signal to noise ratio; signalling overhead; spectral efficiency; Approximation methods; Fading; Numerical models; OFDM; Probability density function; Signal to noise ratio; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd
Conference_Location
Yokohama
ISSN
1550-2252
Print_ISBN
978-1-4244-8332-7
Type
conf
DOI
10.1109/VETECS.2011.5956452
Filename
5956452
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