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A Sub-0.8pJ/b 16.3Gbps/mm2 Universal Soft-Detection Decoder Using ORBGRAND in 40nm CMOS | IEEE Conference Publication | IEEE Xplore

A Sub-0.8pJ/b 16.3Gbps/mm2 Universal Soft-Detection Decoder Using ORBGRAND in 40nm CMOS


Abstract:

Many modern communication applications demand strict latency bounds, high energy efficiency, and high bandwidth, for which only short-length, high-rate codes are suitable...Show More

Abstract:

Many modern communication applications demand strict latency bounds, high energy efficiency, and high bandwidth, for which only short-length, high-rate codes are suitable. Ordered Reliability Bits Guessing Random Additive Noise Decoding (ORBGRAND) is a recently proposed universal near maximum likelihood (ML) decoding algorithm [1] that can decode all short-length and high-rate codes and for which several hardware architectures have been proposed [2–3]. Those designs focused primarily on obtaining high-throughput performance at the expense of significant resource utilization. This work presents the first-integrated universal soft-detection decoder using ORBGRAND implemented in 40nm CMOS technology featuring: 1) ultra-low energy consumption of 0.76pJ/b and low power consumption of 4.9mW compared to state-of-the-art [2–6], on a small core area utilizing 0.4mm2, and high fabricated throughput performance of 6.5Gbps operating at 90MHz frequency from a 1.0V nominal supply voltage at a target Frame Error Rate (FER) of 10−7; 2) ability to abandon the sorting of soft information on-the-fly with dynamic clock gating, saving power and energy, while automatically adapting its performance to channel conditions; 3) energy- and area-efficient integer partitions architecture for accurate ordered-reliability bit patterns with a Logistic Weight (LW) up to 104 and error correction up to 13b; and 4) reconfigurable architecture that supports codeword (CW) lengths between 32 to 256b.
Date of Conference: 19-23 February 2023
Date Added to IEEE Xplore: 23 March 2023
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Conference Location: San Francisco, CA, USA

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Many modern communication applications demand strict latency bounds, high energy efficiency, and high bandwidth, for which only short-length, high-rate codes are suitable. Ordered Reliability Bits Guessing Random Additive Noise Decoding (ORBGRAND) is a recently proposed universal near maximum likelihood (ML) decoding algorithm [1] that can decode all short-length and high-rate codes and for which several hardware architectures have been proposed [2]–[3]. Those designs focused primarily on obtaining high-throughput performance at the expense of significant resource utilization. This work presents the first-integrated universal soft-detection decoder using ORBGRAND implemented in 40nm CMOS technology featuring: 1) ultra-low energy consumption of 0.76pJ/b and low power consumption of 4.9mW compared to state-of-the-art [2]–[6], on a small core area utilizing 0.4mm2, and high fabricated throughput performance of 6.5Gbps operating at 90MHz frequency from a 1.0V nominal supply voltage at a target Frame Error Rate (FER) of 10−7; 2) ability to abandon the sorting of soft information on-the-fly with dynamic clock gating, saving power and energy, while automatically adapting its performance to channel conditions; 3) energy- and area-efficient integer partitions architecture for accurate ordered-reliability bit patterns with a Logistic Weight (LW) up to 104 and error correction up to 13b; and 4) reconfigurable architecture that supports codeword (CW) lengths between 32 to 256b.

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