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IEICE TRANSACTIONS on Fundamentals

Open Access
Expectation Propagation Decoding for Sparse Superposition Codes

Hiroki MAYUMI, Keigo TAKEUCHI

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Summary :

Expectation propagation (EP) decoding is proposed for sparse superposition coding in orthogonal frequency division multiplexing (OFDM) systems. When a randomized discrete Fourier transform (DFT) dictionary matrix is used, the EP decoding has the same complexity as approximate message-passing (AMP) decoding, which is a low-complexity and powerful decoding algorithm for the additive white Gaussian noise (AWGN) channel. Numerical simulations show that the EP decoding achieves comparable performance to AMP decoding for the AWGN channel. For OFDM systems, on the other hand, the EP decoding is much superior to the AMP decoding while the AMP decoding has an error-floor in high signal-to-noise ratio regime.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E103-A No.12 pp.1666-1669
Publication Date
2020/12/01
Publicized
2020/07/06
Online ISSN
1745-1337
DOI
10.1587/transfun.2020EAL2053
Type of Manuscript
LETTER
Category
Coding Theory

Authors

Hiroki MAYUMI
  Toyohashi University of Technology
Keigo TAKEUCHI
  Toyohashi University of Technology

Keyword