Sparse Kronecker-Product Coding for Unsourced Multiple Access

نویسندگان

چکیده

In this letter, a sparse Kronecker-product (SKP) coding scheme is proposed for unsourced multiple access. Specifically, the data of each active user encoded as Kronecker product two component codewords with one being and other forward-error-correction (FEC) coded. At receiver, an iterative decoding algorithm developed, consisting matrix factorization decomposition soft-in soft-out code FEC code. The cyclic redundancy check (CRC) aided interference cancelation technique further incorporated performance improvement. Numerical results show that outperforms state-of-the-art counterparts, approaches random bound within gap only 0.1 dB at length 30000 when number users less than 75.

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ژورنال

عنوان ژورنال: IEEE Wireless Communications Letters

سال: 2021

ISSN: ['2162-2337', '2162-2345']

DOI: https://doi.org/10.1109/lwc.2021.3099285