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    Sequential decoders for large MIMO systems

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    Type
    Conference Paper
    Authors
    Ali, Konpal S.
    Abediseid, Walid
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Young Talent Development
    Communication Theory Lab
    Date
    2014-05
    Permanent link to this record
    http://hdl.handle.net/10754/564914
    
    Metadata
    Show full item record
    Abstract
    Due to their ability to provide high data rates, multiple-input multiple-output (MIMO) systems have become increasingly popular. Decoding of these systems with acceptable error performance is computationally very demanding. In this paper, we employ the Sequential Decoder using the Fano Algorithm for large MIMO systems. A parameter called the bias is varied to attain different performance-complexity trade-offs. Low values of the bias result in excellent performance but at the expense of high complexity and vice versa for higher bias values. Numerical results are done that show moderate bias values result in a decent performance-complexity trade-off. We also attempt to bound the error by bounding the bias, using the minimum distance of a lattice. The variations in complexity with SNR have an interesting trend that shows room for considerable improvement. Our work is compared against linear decoders (LDs) aided with Element-based Lattice Reduction (ELR) and Complex Lenstra-Lenstra-Lovasz (CLLL) reduction. © 2014 IFIP.
    Citation
    Ali, K. S., Abediseid, W., & Alouini, M.-S. (2014). Sequential decoders for large MIMO systems. 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt). doi:10.1109/wiopt.2014.6850369
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
    Conference/Event name
    2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2014
    ISBN
    9783901882630
    DOI
    10.1109/WIOPT.2014.6850369
    ae974a485f413a2113503eed53cd6c53
    10.1109/WIOPT.2014.6850369
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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