演示:使用ORBGRAND的超低能耗通用软检测解码器

2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) Pub Date : 2023-06-01 DOI:10.1109/WoWMoM57956.2023.00056

Arslan Riaz, Zeynep Ece Kizilates, Alperen Yasar, Furkan Ercan, Wei An, Kevin Galligan, M. Médard, K. Duffy, R. Yazicigil

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引用次数: 0

摘要

本文采用有序可靠性位猜测随机加性噪声解码(Ordered Reliability Bits guess Random Additive Noise Decoding, ORBGRAND)技术，首次集成了超低能耗0.76pJ/bit、最低功耗4.9mW的通用软检测解码器[1]。该芯片的可重构代码长度为32至256位。通过交互式图形用户界面(GUI)使用不同的码本解码多媒体消息，证明了该芯片的通用性。结果表明，该芯片的性能与所使用的码本无关，并能动态适应信道噪声条件，随着信道信噪比(SNR)的提高，功耗降低。

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Demo: Universal Soft-Detection Decoder with Ultra-Low Energy Consumption Using ORBGRAND

This work presents an interactive real-time demonstration of the first-integrated universal soft-detection decoder with an ultra-low energy consumption of 0.76pJ/bit and the lowest power of 4.9mW using Ordered Reliability Bits Guessing Random Additive Noise Decoding (ORBGRAND) [1]. The chip has a reconfigurable code length of 32 to 256 bits. The chip’s universality is demonstrated by decoding multimedia messages using different codebooks through an interactive Graphics User Interface (GUI). It is shown that the chip’s performance is independent of the codebook used and dynamically adapts to the channel noise conditions where lower energy is consumed as the Signal-to-Noise Ratio (SNR) of the channel improves.

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2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

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