Near-Optimal Coding for Many-User Multiple Access Channels
نویسندگان
چکیده
This paper considers the Gaussian multiple-access channel (MAC) in asymptotic regime where number of users grows linearly with code length. We propose efficient coding schemes based on random linear models approximate message passing (AMP) decoding and derive error rate achieved for a given user density, payload (in bits), energy. The tradeoff between energy-per-bit achievable density (for fixed target rate) is studied, it demonstrated that large system limit, spatially coupled scheme AMP achieves near-optimal tradeoffs wide range densities. Furthermore, large, we also study spectral efficiency discuss methods to reduce complexity.
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ژورنال
عنوان ژورنال: IEEE journal on selected areas in information theory
سال: 2022
ISSN: ['2641-8770']
DOI: https://doi.org/10.1109/jsait.2022.3158827