Extensive studies have demonstrated the effectiveness and the flexibility of constructing
capacity-approaching codes by block Markov superposition transmission (BMST). However,
to achieve high performance, BMST codes typically require large encoding memories and
large decoding window sizes, which result in high decoding complexity and high decoding
latency. To address these issues, we introduce the recursive BMST (rBMST), in which the
block-oriented feedback convolutional code is used instead of the block-oriented …

Extensive studies have demonstrated the effectiveness of constructing capacity-approaching
codes by block Markov superposition transmission (BMST). However, to achieve high
performance, BMST codes typically require large encoding memories and large decoding
window sizes, which result in increased decoding complexity and decoding latency. To
address this issue, we introduce the recursive BMST (rBMST), in which block-oriented
feedback convolutional code is used instead of the block-oriented feedforward convolutional …