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Author:Anis, Muhammad Moiz
Title:Performance Prediction of a Turbo-coded Link in Fading Channels
Publication type:Master's thesis
Publication year:2010
Pages:xix + 78      Language:   eng
Department/School:Tietoliikenne- ja tietoverkkotekniikan laitos
Main subject:Tietoliikennetekniikka   (S-72)
Supervisor:Tirkkonen, Olav
Instructor:Määttänen, Helka-Liina
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201203131482
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Location:P1 Ark Aalto  643   | Archive
Keywords:fading
BLER
effective SNR
mean
variance
turbo-codes
Abstract (eng): Channel coding is the method of adding redundancy to the data in order to reduce the frequency of errors or to increase the capacity of a channel.
Turbo codes are the most superior class of codes making achievable channel capacity almost at par with the Shannon limits.
In Adaptive Modulation and Coding (AMC) the prediction of error performance of a channel is an important step before choosing one of the Modulation Coding Scheme (MCS).
Since in Turbo-coded system we donot have analytical relations to relate error performance with the Signal to Noise Ratio (SNR).
Therefore, normally simulation results are stored in the form of the look up tables.

In this work we propose an error performance prediction model for a BPSK modulated Turbo-coded link.
This model predicts performance addressing the fading phenomena for wireless radio channels.
It takes the large variations in the SNR level within a code block into account along with the coding parameters.
The SNR dB values profile inside a code block is considered in terms of their mean and variance.
The model proposed is UMTS compliant and is continuous for values of the MCS code rate and the mean and variance of SNR dB values.
It is an easier way of predicting link level performance as it replaces the discrete look up tables.
Unlike the look-up tables it can be used for differentiation based analytical techniques used in system level optimization.
ED:2010-08-18
INSSI record number: 40129
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