Low complexity overloaded MIMO detection based on belief propagation with MMSE pre-cancellation

Takashi Imamura, Yukitoshi Sanada

研究成果: Article査読

2 被引用数 (Scopus)


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 2.9-5.6 dB 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.

ジャーナルIEICE Transactions on Communications
出版ステータスPublished - 2021 3月 1

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学


「Low complexity overloaded MIMO detection based on belief propagation with MMSE pre-cancellation」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。