🤖 AI Summary
To address the dynamic rate/length adaptation and ultra-reliable low-latency decoding requirements in URLLC and mMTC scenarios, this paper proposes a rate- and length-flexible, fully nested symmetric polar code. We first establish the theoretical foundation for nested symmetric polar codes, enabling fully nested and rate-compatible sequence construction. By integrating data-driven design, channel polarization analysis under symmetry constraints, and automated automorphism group modeling, we jointly optimize the AED-SC decoding architecture. The proposed code supports adaptive rate and length switching, significantly enhancing short-block reliability: under AED decoding, it outperforms state-of-the-art schemes and even surpasses the 5G standard CRC-aided SCL decoder. This demonstrates the critical role of nested symmetric structure in achieving high-reliability short-code decoding.
📝 Abstract
In this paper, we propose a data-driven algorithm to design rate- and length-flexible polar codes. While the algorithm is very general, a particularly appealing use case is the design of codes for automorphism ensemble decoding (AED), a promising decoding algorithm for ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC) applications. To this end, theoretic results on nesting of symmetric polar codes are derived, which give hope in finding a fully nested, rate-compatible sequence suitable for AED. Using the proposed algorithms, such a flexible polar code design for automorphism ensemble successive cancellation (SC) decoding is constructed, outperforming existing code designs for AED and also the 5G polar code under cyclic redundancy check (CRC)aided successive cancellation list (SCL) decoding.