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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 과부하된 MIMO(Multiple-Input Multiple-Output) 시스템에 대한 검출 기법으로 BP(Believe Propagation) 이전에 MMSE(Minimum Mean Square Error) 사전 취소를 적용하는 것을 제안합니다. 과부하된 MIMO 시스템에서는 요인 그래프의 루프가 BP의 복조 성능을 저하시킵니다. 따라서 제안하는 기법에서는 BP 이전에 MMSE 사전 취소를 적용하여 루프 수를 줄인다. 또한, MMSE 사전 취소 후 잔류 간섭 및 잡음을 억제하기 위해 MMSE 가중치 행렬 내 역행렬의 조건수가 최소화되도록 선택된 송신 및 수신 노드에 적용한다. 컴퓨터 시뮬레이션을 통해 얻은 수치 결과는 제안 기법이 MMSE 사전 취소 없이 BP보다 더 나은 비트 오류율(BER) 성능을 달성한다는 것을 보여줍니다. 제안하는 기법은 BER 2.9×5.6에서 BER 성능을 5.0~10dB 향상시킨다.-3 기존 BP와 비교. 수치 결과는 또한 MMSE 사전 취소가 곱셈 연산 수 측면에서 BP의 복잡성을 896배 감소시키는 것으로 나타났습니다.
Takashi IMAMURA
Keio University
Yukitoshi SANADA
Keio University
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부
Takashi IMAMURA, Yukitoshi SANADA, "Low Complexity Overloaded MIMO Detection Based on Belief Propagation with MMSE Pre-Cancellation" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 3, pp. 312-319, March 2021, doi: 10.1587/transcom.2020EBP3028.
Abstract: In this paper, the application of minimum mean square error (MMSE) pre-cancellation prior to belief propagation (BP) is proposed as a detection scheme for overloaded multiple-input multiple-output (MIMO) systems. In overloaded MIMO systems, the loops in the factor graph degrade the demodulation performance of BP. Therefore, the proposed scheme applies MMSE pre-cancellation prior to BP and reduces the number of loops. Furthermore, it is applied to the selected transmit and receive nodes so that the condition number of an inverse matrix in the MMSE weight matrix is minimized to suppress the residual interference and the noise after MMSE pre-cancellation. Numerical results obtained through computer simulation show that the proposed scheme achieves better bit error rate (BER) performance than BP without MMSE pre-cancellation. The proposed scheme improves the BER performance by 2.9-5.6dB at a BER of 5.0×10-3 compared with conventional BP. Numerical results also show that MMSE pre-cancellation reduces the complexity of BP by a factor of 896 in terms of the number of multiplication operations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020EBP3028/_p
부
@ARTICLE{e104-b_3_312,
author={Takashi IMAMURA, Yukitoshi SANADA, },
journal={IEICE TRANSACTIONS on Communications},
title={Low Complexity Overloaded MIMO Detection Based on Belief Propagation with MMSE Pre-Cancellation},
year={2021},
volume={E104-B},
number={3},
pages={312-319},
abstract={In this paper, the application of minimum mean square error (MMSE) pre-cancellation prior to belief propagation (BP) is proposed as a detection scheme for overloaded multiple-input multiple-output (MIMO) systems. In overloaded MIMO systems, the loops in the factor graph degrade the demodulation performance of BP. Therefore, the proposed scheme applies MMSE pre-cancellation prior to BP and reduces the number of loops. Furthermore, it is applied to the selected transmit and receive nodes so that the condition number of an inverse matrix in the MMSE weight matrix is minimized to suppress the residual interference and the noise after MMSE pre-cancellation. Numerical results obtained through computer simulation show that the proposed scheme achieves better bit error rate (BER) performance than BP without MMSE pre-cancellation. The proposed scheme improves the BER performance by 2.9-5.6dB at a BER of 5.0×10-3 compared with conventional BP. Numerical results also show that MMSE pre-cancellation reduces the complexity of BP by a factor of 896 in terms of the number of multiplication operations.},
keywords={},
doi={10.1587/transcom.2020EBP3028},
ISSN={1745-1345},
month={March},}
부
TY - JOUR
TI - Low Complexity Overloaded MIMO Detection Based on Belief Propagation with MMSE Pre-Cancellation
T2 - IEICE TRANSACTIONS on Communications
SP - 312
EP - 319
AU - Takashi IMAMURA
AU - Yukitoshi SANADA
PY - 2021
DO - 10.1587/transcom.2020EBP3028
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2021
AB - In this paper, the application of minimum mean square error (MMSE) pre-cancellation prior to belief propagation (BP) is proposed as a detection scheme for overloaded multiple-input multiple-output (MIMO) systems. In overloaded MIMO systems, the loops in the factor graph degrade the demodulation performance of BP. Therefore, the proposed scheme applies MMSE pre-cancellation prior to BP and reduces the number of loops. Furthermore, it is applied to the selected transmit and receive nodes so that the condition number of an inverse matrix in the MMSE weight matrix is minimized to suppress the residual interference and the noise after MMSE pre-cancellation. Numerical results obtained through computer simulation show that the proposed scheme achieves better bit error rate (BER) performance than BP without MMSE pre-cancellation. The proposed scheme improves the BER performance by 2.9-5.6dB at a BER of 5.0×10-3 compared with conventional BP. Numerical results also show that MMSE pre-cancellation reduces the complexity of BP by a factor of 896 in terms of the number of multiplication operations.
ER -