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

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

Research output: Contribution to journalLetterResearchpeer-review

7 Citations (Scopus)
283 Downloads (Pure)

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.
Original languageEnglish
JournalI E E E Signal Processing Letters
Volume22
Issue number4
Pages (from-to)404-407
Number of pages4
ISSN1070-9908
DOIs
Publication statusPublished - 2015

Fingerprint

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

Keywords

  • Iterative receiver
  • SC-FDE
  • message-passing

Cite this

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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.",
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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.

In: I E E E Signal Processing Letters, Vol. 22, No. 4, 2015, p. 404-407.

Research output: Contribution to journalLetterResearchpeer-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

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EP - 407

JO - I E E E Signal Processing Letters

JF - I E E E Signal Processing Letters

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