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    Optimal linear detectors for nonorthogonal amplify-and-forward protocol

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    Type
    Conference Paper
    Authors
    Ahmed, Qasim Zeeshan
    Park, Kihong cc
    Alouini, Mohamed-Slim cc
    Aissa, Sonia
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2013-06
    Permanent link to this record
    http://hdl.handle.net/10754/564749
    
    Metadata
    Show full item record
    Abstract
    In this paper, we propose optimal linear detectors for non-orthogonal amplify-and-forward cooperative protocol when considering a single-relay scenario. Two types of detectors are proposed based on the principles of minimum mean square error (MMSE) and minimum bit error rate (MBER). The MMSE detector minimizes the mean square error, while the MBER minimizes the system bit error rate (BER). Both detectors exhibit excellent BER performance with relatively low complexity as compared to the maximal likelihood (ML) detector. The BER performance of both detectors is superior to the channel inversion, the maximal ratio combining, and the biased ML detectors. © 2013 IEEE.
    Citation
    Ahmed, Q. Z., Park, K.-H., Alouini, M.-S., & Aissa, S. (2013). Optimal linear detectors for nonorthogonal amplify-and-forward protocol. 2013 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2013.6655339
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2013 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2013 IEEE International Conference on Communications, ICC 2013
    ISBN
    9781467331227
    DOI
    10.1109/ICC.2013.6655339
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICC.2013.6655339
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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