ETRI Journal

  • 제39권3호
  • /
  • Pages.326-335
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  • 2017
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Low-Complexity Massive MIMO Detectors Based on Richardson Method

  • Kang, Byunggi (School of Electrical Engineering, Korea University) ;
  • Yoon, Ji-Hwan (School of Electrical Engineering, Korea University) ;
  • Park, Jongsun (School of Electrical Engineering, Korea University)
  • 투고 : 2016.10.14
  • 심사 : 2017.01.12
  • 발행 : 2017.06.01
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초록

In the uplink transmission of massive (or large-scale) multi-input multi-output (MIMO) systems, large dimensional signal detection and its hardware design are challenging issues owing to the high computational complexity. In this paper, we propose low-complexity hardware architectures of Richardson iterative method-based massive MIMO detectors. We present two types of massive MIMO detectors, directly mapped (type1) and reformulated (type2) Richardson iterative methods. In the proposed Richardson method (type2), the matrix-by-matrix multiplications are reformulated to matrix-vector multiplications, thus reducing the computational complexity from $O(U^2)$ to O(U). Both massive MIMO detectors are implemented using a 65 nm CMOS process and compared in terms of detection performance under different channel conditions (high-mobility and flat fading channels). The hardware implementation results confirm that the proposed type1 Richardson method-based detector demonstrates up to 50% power savings over the proposed type2 detector under a flat fading channel. The type2 detector indicates a 37% power savings compared to the type1 under a high-mobility channel.

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피인용 문헌

  1. SSOR Preconditioned Gauss-Seidel Detection and Its Hardware Architecture for 5G and beyond Massive MIMO Networks vol.10, pp.5, 2017, https://doi.org/10.3390/electronics10050578