Message-Passing Receivers for Single Carrier Systems with Frequency-Domain Equalization

Chuanzong Zhang, Carles Navarro Manchón, Zhongyong Wang, Bernard Henri Fleury

Publikation: Bidrag til tidsskriftLetterForskningpeer review

7 Citationer (Scopus)
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Resumé

In this letter, we design iterative receiver algorithms for joint frequency-domain equalization and decoding in a single carrier system assuming perfect channel state information. Based on an approximate inference framework that combines belief propagation (BP) and the mean field (MF) approximation, we propose two receiver algorithms with, respectively, parallel and sequential message-passing schedules in the MF part. A recently proposed receiver based on generalized approximate message passing (GAMP) is used as a benchmarking reference. The simulation results show that the BP-MF receiver with sequential passing of messages achieves the best BER performance at the expense of higher computational complexity compared to that of the GAMP receiver. The parallel BP-MF receiver has complexity similar to that of GAMP, but its low convergence rate yields poor performance, especially under high signal-to-noise ratio conditions.
OriginalsprogEngelsk
TidsskriftI E E E Signal Processing Letters
Vol/bind22
Udgave nummer4
Sider (fra-til)404-407
Antal sider4
ISSN1070-9908
DOI
StatusUdgivet - 2015

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Frequency-domain Equalization
Message passing
Message Passing
Receiver
Belief Propagation
Mean Field
Channel state information
Benchmarking
Decoding
Computational complexity
Signal to noise ratio
Mean-field Approximation
Channel State Information
Convergence Rate
Computational Complexity
Schedule

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    title = "Message-Passing Receivers for Single Carrier Systems with Frequency-Domain Equalization",
    abstract = "In this letter, we design iterative receiver algorithms for joint frequency-domain equalization and decoding in a single carrier system assuming perfect channel state information. Based on an approximate inference framework that combines belief propagation (BP) and the mean field (MF) approximation, we propose two receiver algorithms with, respectively, parallel and sequential message-passing schedules in the MF part. A recently proposed receiver based on generalized approximate message passing (GAMP) is used as a benchmarking reference. The simulation results show that the BP-MF receiver with sequential passing of messages achieves the best BER performance at the expense of higher computational complexity compared to that of the GAMP receiver. The parallel BP-MF receiver has complexity similar to that of GAMP, but its low convergence rate yields poor performance, especially under high signal-to-noise ratio conditions.",
    keywords = "Iterative receiver, SC-FDE, message-passing",
    author = "Chuanzong Zhang and Manch{\'o}n, {Carles Navarro} and Zhongyong Wang and Fleury, {Bernard Henri}",
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    Message-Passing Receivers for Single Carrier Systems with Frequency-Domain Equalization. / Zhang, Chuanzong; Manchón, Carles Navarro; Wang, Zhongyong; Fleury, Bernard Henri.

    I: I E E E Signal Processing Letters, Bind 22, Nr. 4, 2015, s. 404-407.

    Publikation: Bidrag til tidsskriftLetterForskningpeer review

    TY - JOUR

    T1 - Message-Passing Receivers for Single Carrier Systems with Frequency-Domain Equalization

    AU - Zhang, Chuanzong

    AU - Manchón, Carles Navarro

    AU - Wang, Zhongyong

    AU - Fleury, Bernard Henri

    PY - 2015

    Y1 - 2015

    N2 - In this letter, we design iterative receiver algorithms for joint frequency-domain equalization and decoding in a single carrier system assuming perfect channel state information. Based on an approximate inference framework that combines belief propagation (BP) and the mean field (MF) approximation, we propose two receiver algorithms with, respectively, parallel and sequential message-passing schedules in the MF part. A recently proposed receiver based on generalized approximate message passing (GAMP) is used as a benchmarking reference. The simulation results show that the BP-MF receiver with sequential passing of messages achieves the best BER performance at the expense of higher computational complexity compared to that of the GAMP receiver. The parallel BP-MF receiver has complexity similar to that of GAMP, but its low convergence rate yields poor performance, especially under high signal-to-noise ratio conditions.

    AB - In this letter, we design iterative receiver algorithms for joint frequency-domain equalization and decoding in a single carrier system assuming perfect channel state information. Based on an approximate inference framework that combines belief propagation (BP) and the mean field (MF) approximation, we propose two receiver algorithms with, respectively, parallel and sequential message-passing schedules in the MF part. A recently proposed receiver based on generalized approximate message passing (GAMP) is used as a benchmarking reference. The simulation results show that the BP-MF receiver with sequential passing of messages achieves the best BER performance at the expense of higher computational complexity compared to that of the GAMP receiver. The parallel BP-MF receiver has complexity similar to that of GAMP, but its low convergence rate yields poor performance, especially under high signal-to-noise ratio conditions.

    KW - Iterative receiver

    KW - SC-FDE

    KW - message-passing

    U2 - 10.1109/LSP.2014.2325401

    DO - 10.1109/LSP.2014.2325401

    M3 - Letter

    VL - 22

    SP - 404

    EP - 407

    JO - I E E E Signal Processing Letters

    JF - I E E E Signal Processing Letters

    SN - 1070-9908

    IS - 4

    ER -