DSpace
 
  Repositório Institucional da Universidade de Aveiro > Departamento de Electrónica, Telecomunicações e Informática > DETI - Comunicações >
 Minimum Bit-Error-Rate Nonlinear Precoding For Multi-User Distributed Antenna Systems
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/5586

title: Minimum Bit-Error-Rate Nonlinear Precoding For Multi-User Distributed Antenna Systems
authors: Daniel Castanheira
Adão Silva
Atílio Gameiro
issue date: 5-Dec-2011
publisher: IEEE
abstract: The aim of this manuscript is to propose and evaluate a novel nonlinear precoding scheme for distributed MIMO based systems.We consider a high-speed backhaul network where the remote antenna units are transparently linked by optical fiber to a central unit. In the considered architecture we can assume the knowledge of the data and channel state information of all users, at the central unit. The precoder design is divided in two phases: first a solution based on minimization of bit-error-rate is computed by assuming that all remote antenna units can jointly pool their power, i.e., a total power constraint is imposed instead of a per remote antenna unit power constraint; the second phase consists in scaling the obtained transmit signal by a factor to satisfy the individual per remote antenna unit power constraint. Numerical results show that the algorithm achieves significant gains over the linear zero-forcing and minimum mean square error based approaches, with a slight increase in complexity, and that its performance is close to the optimum.
URI: http://hdl.handle.net/10773/5586
ISBN: 978-1-4673-0040-7
publisher version/DOI: http://www.ieee-globecom.org/2011/about.html
source: GLOBECOM 2011: IEEE Workshop on DAS
appears in collectionsDETI - Comunicações

files in this item

file description sizeformat
globecom_2011_daniel.pdf444.05 kBAdobe PDFview/open
Restrict Access. You can Request a copy!
statistics

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! RCAAP OpenAIRE DeGóis
ria-repositorio@ua.pt - Copyright ©   Universidade de Aveiro - RIA Statistics - Powered by MIT's DSpace software, Version 1.6.2