SUMIS: Near-Optimal Soft-In Soft-Out MIMO Detection With Low and Fixed Complexity

@article{Cirkic2014SUMISNS,
  title={SUMIS: Near-Optimal Soft-In Soft-Out MIMO Detection With Low and Fixed Complexity},
  author={Mirsad Cirkic and E. Larsson},
  journal={IEEE Transactions on Signal Processing},
  year={2014},
  volume={62},
  pages={3084-3097}
}
  • Mirsad Cirkic, E. Larsson
  • Published 2014
  • Computer Science, Mathematics
  • IEEE Transactions on Signal Processing
  • The fundamental problem of interest here is soft-input-soft-output multiple-input-multiple-output (MIMO) detection. We propose a method, referred to as subspace marginalization with interference suppression (SUMIS), that yields unprecedented performance at low and fixed (deterministic) complexity. Our method provides a well-defined tradeoff between computational complexity and performance. Apart from an initial sorting step consisting of selecting channel-matrix columns, the algorithm involves… CONTINUE READING
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 72 REFERENCES
    Near-optimal soft-output fixed-complexity mimo detection via subspace marginalization and interference suppression
    4
    Soft–Input Soft–Output Single Tree-Search Sphere Decoding
    158
    Partial Marginalization Soft MIMO Detection With Higher Order Constellations
    29
    Low complexity detection and precoding for massive MIMO systems
    16
    Fixed-Complexity Soft MIMO Detection via Partial Marginalization
    100
    Approaching MIMO channel capacity with soft detection based on hard sphere decoding
    99