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Plenary Lecture
Influence of Segmentation to Efficiency of Joint Channel Coding and Cryptography

Professor Natasa Zivic
Institute for Data Communications Systems
University of Siegen
Siegen, Germany
Email: natasa.zivic@uni-siegen.de
Abstract: Newly researches show that cooperation between
the elements of the receiver improves the accuracy of the received information.
Such cooperation is especially important in noisy environments, as wireless,
mobile and satellite communications. Examples of cooperate work of elements of
receiver are:
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iterative decoding
with feedback used inside of the channel decoder for Turbo codes in order to
decrease the error rate
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the feedback
information about the decoded bits from the channel decoder to the demodulator
used to improve the equalization and synchronization of the demodulator
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the feedback
information from the source decoder to the channel decoder used to improve the
channel decoding (so-called source channel decoding).
Joint Channel
Coding and Cryptography represents the combination of cryptography and
convolutional channel coding. SISO channel decoder and decryptor exchange output
information with each other, enabling correction of the output results. This
cooperation introduces feedback from decryptor to the SISO decoder for sending
information which helps correction of results.
The algorithm of Joint Channel Coding and Cryptography is based on the use of
L-values (reliability values) which are output of the SISO channel decoder and
input to the decryptor. L-values show the probability of wrong decoded bits of
the received information. Therefore absolute L-values are ordered per their
greatness, for correction of bits with the lowest absolute L-values which have
the highest probability of being wrong decoded. Joint Channel Coding and
Cryptography uses feedback for improving of decoding results using the
information previously corrected by the lowest absolute L-values. Efficiency of
the feedback, depending on the lengths of information which have to be
corrected, is the subject of this lecture.
Brief Biography of the Speaker:
Dr Natasa Zivic was born on 6th of January, 1975 in Belgrade, Serbia
(Yugoslavia). She graduated from the Faculty of Electrical Engineering
(Electronics, Telecommunication and Automatics) of the Belgrade University in
1999. at the Telecommunication Department (Access Networks). After the Post
diploma studies at the same Faculty (Telecommunications Division) she defended
her Magister Thesis (Acoustics) in 2002.
From October 2004. she was scientific assistant on the University of Siegen in
Germany at the Institute for Data Communications Systems as a DAAD and
University of Siegen Scholarship holder. In 2007. she defended her Doctoral
Thesis on the same University. The main course of her work in Siegen is Coding
and Cryptography.
From 2000. till 2004. she was working at the Public Enterprise of PTT
``Serbia``, Belgrade as the senior engineer. Currently she is employed as an
Assistant Professor at the University of Siegen.
She published about 30 articles at international Conferences and Journals and
two monographs.
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