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    High-Throughput Data Detection for Massive MU-MIMO-OFDM Using Coordinate Descent

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    Author
    Wu, Michael; Dick, Chris; Cavallaro, Joseph R.; Studer, Christoph
    Date
    2016
    Abstract
    Data detection in massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems is among the most critical tasks due to the excessively high implementation complexity. In this paper, we propose a novel, equalization-based soft-output data-detection algorithm and corresponding reference FPGA designs for wideband massive MU-MIMO systems that use orthogonal frequency-division multiplexing (OFDM). Our data-detection algorithm performs approximate minimum mean-square error (MMSE) or box-constrained equalization using coordinate descent. We deploy a variety of algorithm-level optimizations that enable near-optimal error-rate performance at low implementation complexity, even for systems with hundreds of base-station (BS) antennas and thousands of subcarriers. We design a parallel VLSI architecture that uses pipeline interleaving and can be parametrized at design time to support various antenna configurations. We develop reference FPGA designs for massive MU-MIMO-OFDM systems and provide an extensive comparison to existing designs in terms of implementation complexity, throughput, and error-rate performance. For a 128 BS antenna, 8-user massive MU-MIMO-OFDM system, our FPGA design outperforms the next-best implementation by more than 2.6× in terms of throughput per FPGA look-up tables.
    Citation
    Wu, Michael, Dick, Chris, Cavallaro, Joseph R., et al.. "High-Throughput Data Detection for Massive MU-MIMO-OFDM Using Coordinate Descent." IEEE Transactions on Circuits and Systems I: Regular Papers, 63, no. 12 (2016) IEEE: 2357-2367. http://dx.doi.org/10.1109/TCSI.2016.2611645.
    Published Version
    http://dx.doi.org/10.1109/TCSI.2016.2611645
    Type
    Journal article
    Publisher
    IEEE
    Citable link to this page
    https://hdl.handle.net/1911/93855
    Rights
    This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE.
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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map