Step-GRAND: A Low Latency Universal Soft-input Decoder

2023 IEEE Globecom Workshops (GC Wkshps)(2023)

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摘要
GRAND features both soft-input and hard-input variants that are well suited to efficient hardware implementations that can be characterized with achievable average and worst-case decoding latency. This paper introduces step-GRAND, a soft-input variant of GRAND that, in addition to achieving appealing average decoding latency, also reduces the worst-case decoding latency of the corresponding hardware implementation. The hardware implementation results demonstrate that the proposed step-GRAND can decode CA-polar code $(128,105+11)$ with an average information throughput of $47.7$ Gbps at the target FER of $\leq10^{-7}$. Furthermore, the proposed step-GRAND hardware is $10\times$ more area efficient than the previous soft-input ORBGRAND hardware implementation, and its worst-case latency is $\frac{1}{6.8}\times$ that of the previous ORBGRAND hardware.
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关键词
Guessing Random Additive Noise Decoding (GRAND),GRAND with ABandonment (GRANDAB),Ordered Reliability Bits GRAND (ORBGRAND),Maximum Likelihood (ML) decoding,Ultra-Reliable and Low Latency Communications (URLLC)
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