Arslan Riaz, Zeynep Ece Kizilates, Alperen Yasar, Furkan Ercan, Wei An, Kevin Galligan, M. Médard, K. Duffy, R. Yazicigil
{"title":"Demo: Universal Soft-Detection Decoder with Ultra-Low Energy Consumption Using ORBGRAND","authors":"Arslan Riaz, Zeynep Ece Kizilates, Alperen Yasar, Furkan Ercan, Wei An, Kevin Galligan, M. Médard, K. Duffy, R. Yazicigil","doi":"10.1109/WoWMoM57956.2023.00056","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":132845,"journal":{"name":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WoWMoM57956.2023.00056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.