{"title":"Performance Analysis of Energy Spotting and Cyclostationary Methods in Cognitive Radio","authors":"M. Ashok, R. N, M.Ajay Kumar","doi":"10.1109/ICESE46178.2019.9194671","DOIUrl":null,"url":null,"abstract":"CRN (Cognitive Radio Networks) influences as main key technology for the future wireless systems as it affords the structure of enabling each spectrum anticipating awareness. The primary phase of CRN's commitment is spectrum anticipating which will act as the utmost challenging phase, as it needs an exact real-time outcome of the PU's (Primary User)absence or presence in a particular band & allow the SU(Secondary User) to use it without creating any kind of obstruction for the Primary User. This report is mainly designed to extend an analysis of two desired anticipating approaches of CRN based on the latest investigations like cyclostationary & energy spotting techniques. In this we furnished the study of few recent proposals that are enhanced for both the techniques mentioned above. Furthermore, we discussed about the tradeoff linking design and interpretation effectiveness of few enhanced anticipating approaches.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESE46178.2019.9194671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
CRN (Cognitive Radio Networks) influences as main key technology for the future wireless systems as it affords the structure of enabling each spectrum anticipating awareness. The primary phase of CRN's commitment is spectrum anticipating which will act as the utmost challenging phase, as it needs an exact real-time outcome of the PU's (Primary User)absence or presence in a particular band & allow the SU(Secondary User) to use it without creating any kind of obstruction for the Primary User. This report is mainly designed to extend an analysis of two desired anticipating approaches of CRN based on the latest investigations like cyclostationary & energy spotting techniques. In this we furnished the study of few recent proposals that are enhanced for both the techniques mentioned above. Furthermore, we discussed about the tradeoff linking design and interpretation effectiveness of few enhanced anticipating approaches.
认知无线网络(CRN, Cognitive Radio Networks)是未来无线系统的主要关键技术,它提供了使每个频谱都能预测感知的结构。CRN承诺的主要阶段是频谱预测,这将是最具挑战性的阶段,因为它需要PU(主用户)在特定频段的缺席或存在的精确实时结果,并允许SU(辅助用户)使用它,而不会对主用户造成任何障碍。本报告主要是基于循环平稳和能量点阵技术的最新研究,对两种理想的CRN预测方法进行扩展分析。在这篇文章中,我们提供了对几个最近的建议的研究,这些建议针对上述两种技术进行了改进。此外,我们还讨论了几种增强预测方法的连接设计和解释有效性的权衡。