Novel MIMO Detection with Improved Complexity for Near-ML Detection in MIMO-OFDM Systems

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Abstract

In this paper, a novel efficient algorithm for MIMO detection in MIMO-OFDM systems has been proposed. This paper also shows that the complexity can be greatly reduced by applying the threshold in the breadth-first tree search algorithm step to eliminating paths. That is, this algorithm derives thresholds based on the LR-aided nonlinear algorithm and performs a simple tree search detection algorithm. This algorithm requires a lower computational complexity than the conventional QRD- M detection algorithm and achieves the same bit error performance. After the novel detection algorithm is proposed, this paper applies this algorithm to the MIMO-OFDM system for performance comparison in terms of error performance and complexity. In many cases of MIMO-OFDM receivers, the proposed method will be an excellent option for implementation.

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Choi, S. J., Shim, S. J., You, Y. H., Cha, J., & Song, H. K. (2019). Novel MIMO Detection with Improved Complexity for Near-ML Detection in MIMO-OFDM Systems. IEEE Access, 7, 60389–60398. https://doi.org/10.1109/ACCESS.2019.2914707

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