Descripción y optimización de un esquema dirty paper coding

This paper presents a precoding technique, known as "Dirty Paper Coding", which allows transmission with limited levels of power over channels where the interference level is known by the transmitter. The interference levels considered have finite variance - just like in MIMO (multiple-inp...

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Main Author: Diego Mauricio Camargo Casas
Format: Article
Language:Spanish
Published: Universidad Distrital Francisco Jose de Caldas 2013-03-01
Series:Tecnura
Subjects:
Online Access:http://tecnura.udistrital.edu.co/ojs/index.php/revista/article/view/514/491
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author Diego Mauricio Camargo Casas
author_facet Diego Mauricio Camargo Casas
author_sort Diego Mauricio Camargo Casas
collection DOAJ
description This paper presents a precoding technique, known as "Dirty Paper Coding", which allows transmission with limited levels of power over channels where the interference level is known by the transmitter. The interference levels considered have finite variance - just like in MIMO (multiple-input and multiple-output) communications, where there is ISI (inter-symbol inter¬ference), Intra-Cell and Inter-Cell interference among other types of interference. The role of proper scaling parameters at the transmitter and receiver is described. Such parameters make use of a linear estimator that minimizes the mean square error of the signals involved. Moreover, a quantization scheme equivalent to a module operation is explained in detail. The purpose of this scheme is to pre-cancel the interference at the transmitter, showing that interference knowledge is used by the encoder as much as possible, namely the encoder attempts to adapt itself to the interference value. Thus, it is possible to decode the signal to make it look almost like the original signal since the new signal is now totally independent of interference.
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spelling doaj.art-aaf4d35c0afc48569f77f6e1955d4f8e2022-12-21T22:24:33ZspaUniversidad Distrital Francisco Jose de CaldasTecnura0123-921X2248-76382013-03-0117353846Descripción y optimización de un esquema dirty paper codingDiego Mauricio Camargo CasasThis paper presents a precoding technique, known as "Dirty Paper Coding", which allows transmission with limited levels of power over channels where the interference level is known by the transmitter. The interference levels considered have finite variance - just like in MIMO (multiple-input and multiple-output) communications, where there is ISI (inter-symbol inter¬ference), Intra-Cell and Inter-Cell interference among other types of interference. The role of proper scaling parameters at the transmitter and receiver is described. Such parameters make use of a linear estimator that minimizes the mean square error of the signals involved. Moreover, a quantization scheme equivalent to a module operation is explained in detail. The purpose of this scheme is to pre-cancel the interference at the transmitter, showing that interference knowledge is used by the encoder as much as possible, namely the encoder attempts to adapt itself to the interference value. Thus, it is possible to decode the signal to make it look almost like the original signal since the new signal is now totally independent of interference.http://tecnura.udistrital.edu.co/ojs/index.php/revista/article/view/514/491DPCFDPMIMO
spellingShingle Diego Mauricio Camargo Casas
Descripción y optimización de un esquema dirty paper coding
Tecnura
DPC
FDP
MIMO
title Descripción y optimización de un esquema dirty paper coding
title_full Descripción y optimización de un esquema dirty paper coding
title_fullStr Descripción y optimización de un esquema dirty paper coding
title_full_unstemmed Descripción y optimización de un esquema dirty paper coding
title_short Descripción y optimización de un esquema dirty paper coding
title_sort descripcion y optimizacion de un esquema dirty paper coding
topic DPC
FDP
MIMO
url http://tecnura.udistrital.edu.co/ojs/index.php/revista/article/view/514/491
work_keys_str_mv AT diegomauriciocamargocasas descripcionyoptimizaciondeunesquemadirtypapercoding