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access icon free Iterative MMSE-based soft MIMO detection with parallel interference cancellation

  • Author(s): Meixiang Zhang 1 ; Saleem Ahmed 2 ; Sooyoung Kim 3
    • View affiliations
  • Source: Volume 11, Issue 11, 03 August 2017, p. 1775 – 1781
    DOI:  10.1049/iet-com.2016.1144 , Print ISSN 1751-8628, Online ISSN 1751-8636
© The Institution of Engineering and Technology
Received 23/09/2016, Accepted 09/04/2017, Revised 19/03/2017, Published 03/05/2017

Minimum mean square error (MMSE)-based techniques are often used for the joint iterative detection and decoding that is for coded multi-input–multi-output (MIMO) system due to a sound complexity and the performance trade-off. This study proposes an enhanced MMSE-based soft MIMO-detection scheme by using three main ideas. The first idea is an efficient complexity-reduced soft-bit estimation technique, the second one is a performance improvement method utilised inside the MMSE detection process, and the third one is a complexity-reduced soft-symbol estimation method for quadrature amplitude modulation. The proposed ideas enable the interference-cancellation processes to be activated in parallel on each symbol layer, thereby reducing the processing time. The simulation results show that the proposed method efficiently contributes to the improvement of the performance in addition to its reduction of the linear-order complexity.

Inspec keywords: quadrature amplitude modulation; MIMO communication; iterative decoding; interference suppression; least mean squares methods

Other keywords: quadrature amplitude modulation; minimum mean square error based techniques; multi-input–multi-output system; performance improvement method; iterative MMSE-based soft MIMO detection scheme; complexity-reduced soft-bit estimation technique; joint iterative detection and decoding; parallel interference cancellation; complexity-reduced soft-symbol estimation method

Subjects: Radio links and equipment; Codes; Electromagnetic compatibility and interference; Interpolation and function approximation (numerical analysis)

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