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Progressive Edge-Growth Algorithm for Low-Density MIMO Codes

  • Jiang, Xueqin (College of Information Sciences and Technology, Donghua University) ;
  • Yang, Yi (College of Information Sciences and Technology, Donghua University) ;
  • Lee, Moon Ho (Division of Electronic and Information Engineering, Chonbuk National University) ;
  • Zhu, Minda (College of Information Sciences and Technology, Donghua University)
  • Received : 2014.05.04
  • Accepted : 2014.08.22
  • Published : 2014.12.31

Abstract

In low-density parity-check (LDPC) coded multiple-input multiple-output (MIMO) communication systems, probabilistic information are exchanged between an LDPC decoder and a MIMO detector. TheMIMO detector has to calculate probabilistic values for each bit which can be very complex. In [1], the authors presented a class of linear block codes named low-density MIMO codes (LDMC) which can reduce the complexity of MIMO detector. However, this code only supports the outer-iterations between the MIMO detector and decoder, but does not support the inner-iterations inside the LDPC decoder. In this paper, a new approach to construct LDMC codes is introduced. The new LDMC codes can be encoded efficiently at the transmitter side and support both of the inner-iterations and outer-iterations at the receiver side. Furthermore they can achieve the design rates and perform very well over MIMO channels.

Keywords

Acknowledgement

Supported by : NRF

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