Treffer: Asymptotic Coded BER Analysis for MIMO BICM-ID with Quantized Extrinsic LLR

Title:
Asymptotic Coded BER Analysis for MIMO BICM-ID with Quantized Extrinsic LLR
Source:
IEEE transactions on communications. 60(10):2820-2828
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2012.
Publication Year:
2012
Physical Description:
print, 25 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Codage, codes, Coding, codes, Echantillonnage, quantification, Sampling, quantization, Modulation, démodulation, Modulation, demodulation, Télécommunications, Telecommunications, Systèmes, réseaux et services de télécommunications, Systems, networks and services of telecommunications, Transmission et modulation (techniques et équipements), Transmission and modulation (techniques and equipments), Canal Rayleigh, Rayleigh channels, Canal évanouissement, Fading channels, Capteur mesure, Measurement sensor, Captador medida, Code imbriqué, Interleaved codes, Décodage itératif, Iterative decoding, Dégradation, Degradation, Degradación, Ecrêtage, Clipping, Descrestación, Endommagement, Damaging, Deterioración, Fonction densité probabilité, Probability density function, Función densidad probabilidad, Fonction génératrice, Generating function, Función generatriz, Fonction logarithmique, Logarithmic function, Función logarítmica, Implémentation, Implementation, Implementación, Masquage, Masking, Enmascaramiento, Modulation, Modulación, Méthode Monte Carlo, Monte Carlo method, Método Monte Carlo, Méthode statistique, Statistical method, Método estadístico, Quantification signal, Signal quantization, Cuantificación señal, Rapport signal bruit, Signal to noise ratio, Relación señal ruido, Rapport vraisemblance, Likelihood ratio, Relación verosimilitud, Simulation numérique, Numerical simulation, Simulación numérica, Système MIMO, MIMO system, Sistema MIMO, Taux erreur bit, Bit error rate, Tasa error bit, Taux erreur, Error rate, Indice error, -Bit-interleaved coded modulation (BICM), Bit-interleaved coded modulation with iterative decoding (BICM-ID), iterative receiver, LLR clipping, design space exploration, error rate analysis, fixed-point arithmetic, multiple-input multiple-output (MIMO), quantization, rounding, sphere decoder
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Institute for Integrated Signal Processing Systems, RWTH Aachen University, Aachen, Germany
School of Computer and Communication Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
National Chip Implementation Center and Dept. of Electrical Engineering, National Taiwan University, Taipei, Tawain, Province of China
ISSN:
0090-6778
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.26544222
Database:
PASCAL Archive

Weitere Informationen

In this paper, we derive a closed-form expression for the probability density/mass function (PDF/PMF) and the moment generating function (MGF) of the quantized detector soft output, i.e., extrinsic log-likelihood ratio (LLR), for multiple-input multiple-output (MIMO) bit-interleaved coded modulation with iterative decoding (BICM-ID) systems. The effect of either LLR clipping or LLR clipping with rounding, often applied in practical implementations, are considered. Using the derived expression, we analyze the asymptotic coded bit error rate (BER) for MIMO BICM-ID systems with the two quantization operations under a flat Rayleigh fading channel. The error rate degradation caused by quantizing the extrinsic LLR is then interpreted as an additional signal-to-noise ratio (SNR) loss. Rather than Monte Carlo simulations, this theoretical treatment provides a more convenient alternative to determining the clipping level and optimal word-length (the number of bits needed to represent signals) for LLR in a BICM-ID implementation. Finally, several other applications of this proposed theoretical analysis are also demonstrated.