Paper Info
Title
Accurate modeling of the predicted κESM-based link performance metric for BIC-OFDM systems
Abstract
Effective SNR mapping (ESM) is a powerful technique for optimizing the performance of orthogonal frequency division multiplexing (OFDM) based wireless systems. ESM transforms a vector of subcarrier SNRs into a scalar effective SNR, which represents the SNR that would yield the same error performance in an equivalent system operating over an additive white Gaussian noise (AWGN) channel. This technique significantly simplifies the development of adaptive coding and modulation (ACM) algorithms. As the distribution of the effective SNR, when only imperfect and outdated channel state information (CSI) is available, cannot be expressed in closed form, we develop an approximate statistical model which is based on the beta distribution. Our model is compared in terms of approximation accuracy against models based on the Gaussian distribution, the gamma distribution and the more complex Pearson and generalized extreme value (GEV) distributions.
Year
DOI
Venue
2015
10.1109/SCVT.2015.7374225
2015 IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT)
Keywords
Field
DocType
Effective SNR mapping (ESM),Moment matching approximation (MMA),Orthogonal frequency division multiplexing (OFDM),Channel feedback
Subcarrier,Generalized extreme value distribution,Control theory,Computer science,Algorithm,Real-time computing,Gaussian,Statistical model,Gamma distribution,Additive white Gaussian noise,Orthogonal frequency-division multiplexing,Channel state information
Conference
Citations 
PageRank 
References 
0
0.34
14
Authors
7
Name
Order
Citations
PageRank
Jeroen Van Hecke1162.68
paolo del fiorentino2102.54
Riccardo Andreotti353.14
Vincenzo Lottici419323.55
Filippo Giannetti513121.77
Luc Vandendorpe61611160.74
Marc Moeneclaey756696.31