Zalfa Jouni, Thomas Soupizet, Siqi Wang, A. Benlarbi-Delai, Pietro M. Ferreira
{"title":"1.2 nW神经形态增强唤醒无线电","authors":"Zalfa Jouni, Thomas Soupizet, Siqi Wang, A. Benlarbi-Delai, Pietro M. Ferreira","doi":"10.1109/SBCCI55532.2022.9893247","DOIUrl":null,"url":null,"abstract":"Low-cost devices with ultra-low-power radio ca-pabilities are a major challenge in smart devices, while a permanently-on receiver is required for smart communication. This paper proposes a wake-up radio with a neuromorphic pre-processing system both biased in weak inversion region. The system can receive a 2.4 GHz signal, demodulate it, and recognize bit patterns based on the spiking frequency of a neuron. Significant performance is obtained with 1.2 nW of total power consumption, which is at least three orders of magnitude less than the conventional RF envelope detectors. Further, spiking frequency responsiveness over input power suggests that the proposed system can distinguish different signals at 2.4 GHz. The proposed system achieves an energy efficiency of 1.2 pJ/bit with a minimum detectable signal of -27 dBm.","PeriodicalId":231587,"journal":{"name":"2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)","volume":"34 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"1.2 nW Neuromorphic Enhanced Wake-Up Radio\",\"authors\":\"Zalfa Jouni, Thomas Soupizet, Siqi Wang, A. Benlarbi-Delai, Pietro M. Ferreira\",\"doi\":\"10.1109/SBCCI55532.2022.9893247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Low-cost devices with ultra-low-power radio ca-pabilities are a major challenge in smart devices, while a permanently-on receiver is required for smart communication. This paper proposes a wake-up radio with a neuromorphic pre-processing system both biased in weak inversion region. The system can receive a 2.4 GHz signal, demodulate it, and recognize bit patterns based on the spiking frequency of a neuron. Significant performance is obtained with 1.2 nW of total power consumption, which is at least three orders of magnitude less than the conventional RF envelope detectors. Further, spiking frequency responsiveness over input power suggests that the proposed system can distinguish different signals at 2.4 GHz. The proposed system achieves an energy efficiency of 1.2 pJ/bit with a minimum detectable signal of -27 dBm.\",\"PeriodicalId\":231587,\"journal\":{\"name\":\"2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)\",\"volume\":\"34 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SBCCI55532.2022.9893247\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBCCI55532.2022.9893247","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-cost devices with ultra-low-power radio ca-pabilities are a major challenge in smart devices, while a permanently-on receiver is required for smart communication. This paper proposes a wake-up radio with a neuromorphic pre-processing system both biased in weak inversion region. The system can receive a 2.4 GHz signal, demodulate it, and recognize bit patterns based on the spiking frequency of a neuron. Significant performance is obtained with 1.2 nW of total power consumption, which is at least three orders of magnitude less than the conventional RF envelope detectors. Further, spiking frequency responsiveness over input power suggests that the proposed system can distinguish different signals at 2.4 GHz. The proposed system achieves an energy efficiency of 1.2 pJ/bit with a minimum detectable signal of -27 dBm.