VLSI Architecture for MIMO Soft-Input Soft-Output Sphere Detection

  • Authors:
  • Esther P. Adeva;Tobias Seifert;Gerhard Fettweis

  • Affiliations:
  • Vodafone Chair Mobile Communications Systems, Technische Universität Dresden, Dresden, Germany;Vodafone Chair Mobile Communications Systems, Technische Universität Dresden, Dresden, Germany;Vodafone Chair Mobile Communications Systems, Technische Universität Dresden, Dresden, Germany

  • Venue:
  • Journal of Signal Processing Systems
  • Year:
  • 2013

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Abstract

Achieving good detection performance while incurring low complexity is known to be one of the major challenges in multiple-input multiple-output (MIMO) communications based on spatial multiplexing. The tuple search detector (TSD) was recently introduced, improving this trade-off with regard to other tree-search-based algorithms (e.g. single tree search or list sphere detector). Motivated by the tremendous gain achievable through the turbo principle and based on a previously developed soft-output (SO) TSD implementation, this work presents the first soft-input soft-output (SISO) TSD realization, scalable in constellation size and number of antennas and mapped to a highly parallel and pipelined VLSI architecture. The proposed SISO-TSD VLSI realization is instantiated for 4 脳 4 MIMO transmission and 64-QAM constellation in 65-nm CMOS technology. For a given BER驴complexity trade-off, the throughput ranges from 57.3 Mbps (iterative detection-decoding with 3 iterations) to 403.6 Mbps (non-iterative detection-decoding) at a clock frequency of 454 MHz. The BER驴complexity trade-off can be moreover adjusted according to transmission conditions, reaching 1 Gbps in high SNR scenarios. A silicon area of 0.14 mm2 (97.7 kGEs) is occupied by the SISO-TSD core, reporting low power dissipation (58.2 mW --- 73.9 mW) under typical case operating conditions. The proposed detector implementation achieves hence high throughput with reasonable hardware complexity, representing a very competitive strategy with regard to relevant state-of-the-art realizations.