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K-best MIMO detection VLSI architectures achieving up to 424 Mbps | IEEE Conference Publication | IEEE Xplore

K-best MIMO detection VLSI architectures achieving up to 424 Mbps


Abstract:

From an error rate performance perspective, maximum likelihood (ML) detection is the preferred detection method for multiple-input multiple-output (MIMO) communication sy...Show More

Abstract:

From an error rate performance perspective, maximum likelihood (ML) detection is the preferred detection method for multiple-input multiple-output (MIMO) communication systems. However, for high transmission rates a straight forward exhaustive search implementation suffers from prohibitive complexity. The K-best algorithm provides close-to-ML bit error rate (BER) performance, while its circuit complexity is reduced compared to an exhaustive search. In this paper, a new VLSI architecture for the implementation of the K-best algorithm is presented. Instead of the mostly sequential processing that has been applied in previous VLSI implementations of the algorithm, the presented solution takes a more parallel approach. Furthermore, the application of a simplified norm is discussed. The implementation in an ASIC achieves up to 424 Mbps throughput with an area that is almost on par with current state-of-the-art implementations
Date of Conference: 21-24 May 2006
Date Added to IEEE Xplore: 11 September 2006
Print ISBN:0-7803-9389-9

ISSN Information:

Conference Location: Kos, Greece

References

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