The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Em sistemas sem fio de múltiplas entradas e múltiplas saídas (MIMO), o receptor deve extrair cada sinal transmitido dos sinais recebidos. A detecção iterativa de sinais com propagação de crenças (BP) pode melhorar o desempenho da taxa de erro, aumentando o número de iterações de detecção e decodificação em sistemas MIMO. Este número de iterações é, no entanto, limitado em sistemas reais porque cada iteração adicional aumenta a latência, o tamanho do receptor e assim por diante. Este artigo propõe uma técnica de aceleração de convergência que pode alcançar melhor desempenho na taxa de erro com menos iterações do que a detecção de sinal iterativa convencional. Como a Razão Log-Verossimilhança (LLR) de um bit se propaga para todos os outros bits com BP, melhorar alguns LLRs melhora o desempenho geral do decodificador. Em nossa proposta, todos os bits codificados são divididos em grupos e apenas um grupo é detectado em cada detecção iterativa de sinal, enquanto na abordagem convencional, cada execução de detecção iterativa de sinal processa todos os bits codificados, simultaneamente. Nossa proposta aumenta a frequência de atualização inicial do LLR aumentando o número de detecções iterativas de sinal e diminuindo o número de bits codificados que o receptor detecta em uma detecção iterativa de sinal. Simulações computacionais mostram que nossa proposta alcança melhor desempenho na taxa de erro com menos iterações de detecção e decodificação do que a abordagem convencional.
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Satoshi GOUNAI, Tomoaki OHTSUKI, "Convergence Acceleration of Iterative Signal Detection for MIMO System with Belief Propagation" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 8, pp. 2640-2647, August 2008, doi: 10.1093/ietcom/e91-b.8.2640.
Abstract: In multiple-input multiple-output (MIMO) wireless systems, the receiver must extract each transmitted signal from received signals. Iterative signal detection with belief propagation (BP) can improve the error rate performance, by increasing the number of detection and decoding iterations in MIMO systems. This number of iterations is, however, limited in actual systems because each additional iteration increases latency, receiver size, and so on. This paper proposes a convergence acceleration technique that can achieve better error rate performance with fewer iterations than the conventional iterative signal detection. Since the Log-Likelihood Ratio (LLR) of one bit propagates to all other bits with BP, improving some LLRs improves overall decoder performance. In our proposal, all the coded bits are divided into groups and only one group is detected in each iterative signal detection whereas in the conventional approach, each iterative signal detection run processes all coded bits, simultaneously. Our proposal increases the frequency of initial LLR update by increasing the number of iterative signal detections and decreasing the number of coded bits that the receiver detects in one iterative signal detection. Computer simulations show that our proposal achieves better error rate performance with fewer detection and decoding iterations than the conventional approach.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.8.2640/_p
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@ARTICLE{e91-b_8_2640,
author={Satoshi GOUNAI, Tomoaki OHTSUKI, },
journal={IEICE TRANSACTIONS on Communications},
title={Convergence Acceleration of Iterative Signal Detection for MIMO System with Belief Propagation},
year={2008},
volume={E91-B},
number={8},
pages={2640-2647},
abstract={In multiple-input multiple-output (MIMO) wireless systems, the receiver must extract each transmitted signal from received signals. Iterative signal detection with belief propagation (BP) can improve the error rate performance, by increasing the number of detection and decoding iterations in MIMO systems. This number of iterations is, however, limited in actual systems because each additional iteration increases latency, receiver size, and so on. This paper proposes a convergence acceleration technique that can achieve better error rate performance with fewer iterations than the conventional iterative signal detection. Since the Log-Likelihood Ratio (LLR) of one bit propagates to all other bits with BP, improving some LLRs improves overall decoder performance. In our proposal, all the coded bits are divided into groups and only one group is detected in each iterative signal detection whereas in the conventional approach, each iterative signal detection run processes all coded bits, simultaneously. Our proposal increases the frequency of initial LLR update by increasing the number of iterative signal detections and decreasing the number of coded bits that the receiver detects in one iterative signal detection. Computer simulations show that our proposal achieves better error rate performance with fewer detection and decoding iterations than the conventional approach.},
keywords={},
doi={10.1093/ietcom/e91-b.8.2640},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - Convergence Acceleration of Iterative Signal Detection for MIMO System with Belief Propagation
T2 - IEICE TRANSACTIONS on Communications
SP - 2640
EP - 2647
AU - Satoshi GOUNAI
AU - Tomoaki OHTSUKI
PY - 2008
DO - 10.1093/ietcom/e91-b.8.2640
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2008
AB - In multiple-input multiple-output (MIMO) wireless systems, the receiver must extract each transmitted signal from received signals. Iterative signal detection with belief propagation (BP) can improve the error rate performance, by increasing the number of detection and decoding iterations in MIMO systems. This number of iterations is, however, limited in actual systems because each additional iteration increases latency, receiver size, and so on. This paper proposes a convergence acceleration technique that can achieve better error rate performance with fewer iterations than the conventional iterative signal detection. Since the Log-Likelihood Ratio (LLR) of one bit propagates to all other bits with BP, improving some LLRs improves overall decoder performance. In our proposal, all the coded bits are divided into groups and only one group is detected in each iterative signal detection whereas in the conventional approach, each iterative signal detection run processes all coded bits, simultaneously. Our proposal increases the frequency of initial LLR update by increasing the number of iterative signal detections and decreasing the number of coded bits that the receiver detects in one iterative signal detection. Computer simulations show that our proposal achieves better error rate performance with fewer detection and decoding iterations than the conventional approach.
ER -