The paper investigates unsourced random access for massive machine-type communications (mMTC) in 6G wireless networks. It establishes a high-efficiency uncoupled framework for massive unsourced random access without extra parity check bits.
The key highlights are:
Design of a low-complexity Bayesian joint decoding algorithm, including codeword detection and stitching. The Bayesian codeword detection approach exploits Bayes-optimal divergence-free orthogonal approximate message passing in the case of unknown priors. The output long-term channel statistic information is leveraged to stitch codewords for recovering the original message.
Analysis of the performance of the proposed Bayesian joint decoding-based massive uncoupled unsourced random access scheme in terms of computational complexity and error probability of decoding.
Asymptotic analysis to obtain useful insights for the design of massive unsourced random access, showing that the error probability of codeword detection tends to zero by increasing the number of BS antennas and transmit power.
Extensive simulation results confirming the effectiveness of the proposed scheme in 6G wireless networks.
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by Feiyan Tian,... at arxiv.org 05-07-2024
https://arxiv.org/pdf/2405.03196.pdfDeeper Inquiries