{"title":"Fundamental Studies of Signal Detection Based on Dynamic Power Management for Wireless Systems","authors":"Masato Yokoyama, S. Narieda, H. Naruse","doi":"10.1109/IGESSC55810.2022.9955324","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an energy detection based signal detection algorithm that can reduce power consumption by decreasing the number of samples when the target signal seems to be absent. The general concept of the proposed technique is the same as that of light-emitting diode dynamic lighting systems for energy efficiency, and decreasing the number of samples for signal detection can be achieved under the assumption of dynamic power management technologies, such as clock gating or power gating, which can reduce the power consumption of digital hardware. To avoid the deterioration of signal detection accuracy owing to the continuous signal detection mentioned above, traditional energy detection is executed when the target signal seems to be present. In the proposed algorithm, the transition between the two types of signal detection schemes is determined by the previous signal detection results. Numerical examples are presented to demonstrate the fundamental characteristics of the proposed signal detection algorithm.","PeriodicalId":166147,"journal":{"name":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Green Energy and Smart System Systems(IGESSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGESSC55810.2022.9955324","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
In this paper, we propose an energy detection based signal detection algorithm that can reduce power consumption by decreasing the number of samples when the target signal seems to be absent. The general concept of the proposed technique is the same as that of light-emitting diode dynamic lighting systems for energy efficiency, and decreasing the number of samples for signal detection can be achieved under the assumption of dynamic power management technologies, such as clock gating or power gating, which can reduce the power consumption of digital hardware. To avoid the deterioration of signal detection accuracy owing to the continuous signal detection mentioned above, traditional energy detection is executed when the target signal seems to be present. In the proposed algorithm, the transition between the two types of signal detection schemes is determined by the previous signal detection results. Numerical examples are presented to demonstrate the fundamental characteristics of the proposed signal detection algorithm.