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Reduced-complexity mimo detector with close-to ml error rate performance

Published: 11 March 2007 Publication History

Abstract

Maximum likelihood (ML) detection provides optimum error rate performance for uncoded multiple-input multiple-output (MIMO) systems. However, circuit complexity of a straightforward implementation of ML detection is uneconomic for high-rate systems. This paper addresses the VLSI implementation trade-offs of a MIMO detection algorithm that achieves close-to ML error rate performance with reduced computational complexity. The described implementations in a 0.25 μm CMOS technology for 4-4 MIMO systems feature a simple data-path, achieve high throughput, and use small silicon area. Important contributing factors to these results are efficient enumeration strategies and the application of simplified norms and sophisticated scheduling techniques together with a new low-complexity preprocessing scheme.

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Cited By

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  • (2017)FlexcoreProceedings of the 14th USENIX Conference on Networked Systems Design and Implementation10.5555/3154630.3154647(197-211)Online publication date: 27-Mar-2017
  • (2017)Circular Sphere Decoding: A Low Complexity Detection for MIMO Systems With General Two-dimensional Signal ConstellationsIEEE Transactions on Vehicular Technology10.1109/TVT.2016.257094266:3(2085-2098)Online publication date: Mar-2017
  • (2017)Geosphere: An Exact Depth-First Sphere Decoder Architecture Scalable to Very Dense ConstellationsIEEE Access10.1109/ACCESS.2017.26847065(4233-4249)Online publication date: 2017
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    cover image ACM Conferences
    GLSVLSI '07: Proceedings of the 17th ACM Great Lakes symposium on VLSI
    March 2007
    626 pages
    ISBN:9781595936059
    DOI:10.1145/1228784
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 11 March 2007

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    Author Tags

    1. FSD
    2. MIMO
    3. VLSI
    4. sphere decoding

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    March 11 - 13, 2007
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    Overall Acceptance Rate 312 of 1,156 submissions, 27%

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    Cited By

    View all
    • (2017)FlexcoreProceedings of the 14th USENIX Conference on Networked Systems Design and Implementation10.5555/3154630.3154647(197-211)Online publication date: 27-Mar-2017
    • (2017)Circular Sphere Decoding: A Low Complexity Detection for MIMO Systems With General Two-dimensional Signal ConstellationsIEEE Transactions on Vehicular Technology10.1109/TVT.2016.257094266:3(2085-2098)Online publication date: Mar-2017
    • (2017)Geosphere: An Exact Depth-First Sphere Decoder Architecture Scalable to Very Dense ConstellationsIEEE Access10.1109/ACCESS.2017.26847065(4233-4249)Online publication date: 2017
    • (2016)Efficient Architecture for Soft-Input Soft-Output Sphere Detection With Perfect Node EnumerationIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2016.252690424:9(2932-2945)Online publication date: Sep-2016
    • (2015)A simplified hard output sphere decoder for large MIMO systems with the use of efficient search center and reduced domain neighborhood studyEURASIP Journal on Wireless Communications and Networking10.1186/s13638-015-0442-y2015:1Online publication date: 17-Oct-2015
    • (2015)Exact Max-Log MAP Soft-Output Sphere Decoding via Approximate Schnorr–Euchner EnumerationIEEE Transactions on Vehicular Technology10.1109/TVT.2014.234625364:6(2749-2753)Online publication date: Jun-2015
    • (2014)Implementation Strategies for High-Performance Multiuser MIMO PrecodersAdvancing Embedded Systems and Real-Time Communications with Emerging Technologies10.4018/978-1-4666-6034-2.ch006(135-161)Online publication date: 2014
    • (2014)GeosphereACM SIGCOMM Computer Communication Review10.1145/2740070.262630144:4(631-642)Online publication date: 17-Aug-2014
    • (2014)GeosphereProceedings of the 2014 ACM conference on SIGCOMM10.1145/2619239.2626301(631-642)Online publication date: 17-Aug-2014
    • (2012)A power-efficient soft-output detector for spatial-multiplexing MIMO communicationsJournal of Electrical and Computer Engineering10.1155/2012/9384902012(1-9)Online publication date: 1-Jan-2012
    • Show More Cited By

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