Paper Info
Title
On statistical characterization of EESM effective SNR over frequency selective channels
Abstract
A novel expression of the moment generating function (MGF) of the exponential effective SNR mapping (EESM) signal-to-noise ratio (SNR) over two correlated but not necessarily identically distributed Nakagami-m fading channels is presented. Based on the MGF, a novel expression for the average effective SNR is also presented. Numerical evaluation of these expressions shows that the proposed approach can be a useful and efficient analytical tool in analyzing the characteristics of EESM over correlated Nakagami-m fading channels.
Year
DOI
Venue
2009
10.1109/TWC.2009.081597
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
frequency selective channel,exponential effective snr mapping,nakagami channels,correlated nakagami-m fading channel,correlated fading,statistical analysis,average effective snr,nakagami-m fading channels,novel expression,gamma distribution,statistical characterization,numerical evaluation,frequency selective channels,efficient analytical tool,eesm effective snr,nakagami-m fading channel,signal-to-noise ratio,moment generating function,wireless communication,fading,correlation,frequency division multiplexing,ofdm,signal to noise ratio,signal generators,ofdm modulation,nakagami distribution,random variables,fading channel,orthogonal frequency division multiplexing
Fading,Signal-to-noise ratio,Frequency-division multiplexing,Algorithm,Real-time computing,Nakagami distribution,Independent and identically distributed random variables,Gamma distribution,Statistics,Moment-generating function,Mathematics,Orthogonal frequency-division multiplexing
Journal
Volume
Issue
ISSN
8
8
1536-1276
Citations 
PageRank 
References 
9
0.60
20
Authors
3
Name
Order
Citations
PageRank
Hui Song1202.09
Raymond Kwan231126.02
Jie Zhang381468.89