Title
Projektovanje višenivoskih konstelacija signala za komunikacione sisteme sa ograničenom snagom: doktorske disertacije
Creator
Vlajkov, Slobodan A.,
CONOR:
56043529
Copyright date
2021
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
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Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 05.11.2021.
Other responsibilities
predsednik komisije
Perić, Zoran
član komisije
Nikolić, Jelena
član komisije
Đorđević, Goran
član komisije
Jakovljević, Nikša
Academic Expertise
Prirodno-matematičke nauke
Academic Title
-
University
Univerzitet u Nišu
Faculty
Elektronski fakultet
Group
Katedra za telekomunikacije
Alternative title
Design of multilevel signal constellations for power-limited communications systems
Publisher
[S. A. Vlajkov]
Format
[7], 116 listova
description
Biografija autora: list 113,
Bibliografija: listovi 108-112.
description
Telecommunications
Abstract (sr)
In modern digital communication systems, a huge amount of
data is transmitted, so that research aimed at achieving more
efficient transmission is necessary, which makes the topic of this
doctoral dissertation relevant and important. The subject of
research in this doctoral dissertation is how to improve the power
efficiency of multilevel PAM (Pulse Amplitude Modulation) and
APSK (Amplitude Phase Shift Keying) constellations in
power-limited communication systems, such as optical
communications, satellite communications, wireless
communications, multiple-input multiple-output systems.
A constellation is defined by the geometric-space partition and
probabilities of constellation points. Therefore, under constellation
designing or constellation shaping the methods that optimize
modulation format by adjusting the geometric-space location
and/or probabilities of constellation points are assumed. All these
methods are categorized within three constellation shaping
schemes: geometric constellation shaping, probabilistic
constellation shaping and hybrid probabilistic-geometric
constellation shaping.
Constellation shaping has been usually performed by
optimizing some metric that characterize a channel or by
optimizing the minimum Euclidean distance. Instead of this, in this
dissertation constellation shaping is performed by applying
designing techniques from quantization theory. Namely, the
existence of similarity in the geometric-space representation ofconstellation and quantization motivates us to apply the
quantization designing methods in constellation shaping.
Special attention is paid to reducing the constellation
complexity, that is to designing the piecewise-uniform
constellations in terms of the geometric-space partition and
probability distribution of constellation points. Methods for
designing constellation inspired by piecewise-linear companding
quantization have been proposed. Also, a novel designing concept
that employs the companding technique in constellation shaping
on a totally different manner has been proposed.
Power efficiency is the ability of a modulation technique to
preserve the fidelity/quality of digital data at low values of the
signal-to-noise ratio, and is expressed as the signal-to-noise ratio
per bit required to achieve a given error probability. In the
dissertation we deal with designing power-efficient multilevel
constellations for channels dominated by the additive white
Gaussian noise, and the metric for constellation performance
evaluation is a functional dependence of symbol error probability
on signal-to-noise ratio per bit for uncoded constellation in channel
with additive white Gausssian noise. The accuracy of analyzes and
achieved results has been verified by performing simulations.
Authors Key words
Digitalne modulacije, PAM konstelacija, APSK konstelacija,
Efikasnost po snazi, Oblikovanje konstelacije, Skalarna
kompanding kvantizacija, Kružno-simetrična kompanding
kvantizacija, Detekcija signala, Kanal sa aditivnim belim
Gausovim šumom, Verovatnoća greške po simbolu
Authors Key words
Digital modulation, PAM constellation, APSK constellation,
Power efficiency, Constellation shaping, Scalar companding
quantization, Circularly-symmetric companding quantization,
Signal detection, AWGN channel, Symbol error probability
Classification
621.391+(621.391:519.226)/621.376(043.3)
Subject
T 121
Type
Tekst
Abstract (sr)
In modern digital communication systems, a huge amount of
data is transmitted, so that research aimed at achieving more
efficient transmission is necessary, which makes the topic of this
doctoral dissertation relevant and important. The subject of
research in this doctoral dissertation is how to improve the power
efficiency of multilevel PAM (Pulse Amplitude Modulation) and
APSK (Amplitude Phase Shift Keying) constellations in
power-limited communication systems, such as optical
communications, satellite communications, wireless
communications, multiple-input multiple-output systems.
A constellation is defined by the geometric-space partition and
probabilities of constellation points. Therefore, under constellation
designing or constellation shaping the methods that optimize
modulation format by adjusting the geometric-space location
and/or probabilities of constellation points are assumed. All these
methods are categorized within three constellation shaping
schemes: geometric constellation shaping, probabilistic
constellation shaping and hybrid probabilistic-geometric
constellation shaping.
Constellation shaping has been usually performed by
optimizing some metric that characterize a channel or by
optimizing the minimum Euclidean distance. Instead of this, in this
dissertation constellation shaping is performed by applying
designing techniques from quantization theory. Namely, the
existence of similarity in the geometric-space representation ofconstellation and quantization motivates us to apply the
quantization designing methods in constellation shaping.
Special attention is paid to reducing the constellation
complexity, that is to designing the piecewise-uniform
constellations in terms of the geometric-space partition and
probability distribution of constellation points. Methods for
designing constellation inspired by piecewise-linear companding
quantization have been proposed. Also, a novel designing concept
that employs the companding technique in constellation shaping
on a totally different manner has been proposed.
Power efficiency is the ability of a modulation technique to
preserve the fidelity/quality of digital data at low values of the
signal-to-noise ratio, and is expressed as the signal-to-noise ratio
per bit required to achieve a given error probability. In the
dissertation we deal with designing power-efficient multilevel
constellations for channels dominated by the additive white
Gaussian noise, and the metric for constellation performance
evaluation is a functional dependence of symbol error probability
on signal-to-noise ratio per bit for uncoded constellation in channel
with additive white Gausssian noise. The accuracy of analyzes and
achieved results has been verified by performing simulations.
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