IEICE TRANSACTIONS on Communications
Low Complexity Overloaded MIMO Detection Based on Belief Propagation with MMSE Pre-Cancellation
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E104-B No.3 pp.312-319
- Publication Date
- 2021/03/01
- Publicized
- 2020/09/09
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2020EBP3028
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Takashi IMAMURA
Keio University
Yukitoshi SANADA
Keio University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
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
Copy
@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},}
Copy
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 -
English
