This paper provides a comprehensive survey of recent advances in deep learning (DL)
techniques for channel coding problems. Inspired by the recent successes of DL in a variety …

This chapter reviews the state‐of‐the‐art channel coding techniques for ultra‐reliable and
low‐latency communications (URLLC). The stringent requirements of URLLC services, such …

In this paper, we propose a new linear-equation ordered-statistics decoding (LE-OSD).
Unlike the OSD, LE-OSD uses high reliable parity bits rather than information bits to recover …

Ordered statistics decoding has been instrumental in addressing decoding failures that
persist after normalized min-sum decoding in short low-density parity-check codes. Despite …

Stringent constraints on both reliability and latency must be guaranteed in ultra-reliable low-
latency communication (URLLC). To fulfill these constraints with computationally …

This paper investigates guesswork over ordered statistics and formulates the complexity of
ordered statistics decoding (OSD) in binary additive white Gaussian noise (AWGN) …

In this paper, we propose an efficient decoding algorithm for short low-density parity check
(LDPC) codes by carefully combining the belief propagation (BP) decoding and ordered …