Hybrid spectrum sensing enhancement for cognitive radio in 6G radio system

Известия высших учебных заведений. Радиоэлектроника Pub Date : 2023-12-31 DOI:10.20535/s0021347023050023

Nishant Gaur, Nidhi Gour, Himanshu Sharma

{"title":"Hybrid spectrum sensing enhancement for cognitive radio in 6G radio system","authors":"Nishant Gaur, Nidhi Gour, Himanshu Sharma","doi":"10.20535/s0021347023050023","DOIUrl":null,"url":null,"abstract":"This article highlights the potential advantages of the proposed hybrid algorithm for 6G. The algorithm's adaptability addresses the dynamic spectral characteristics of 6G environments, enabling seamless transition between different spectral conditions. The hybrid approach holds promise for enhancing spectrum utilization, reducing interference, and optimizing overall communication system performance. As 6G technology evolves, the integration of Energy Detection and Cyclostationary Spectrum Sensing through the hybrid algorithm offers a glimpse into innovative techniques that can shape the future of wireless communication, unlocking the potential for enhanced connectivity, efficiency, and user experience. Several parameters such as Probability of detection (Pd), Probability of false alarm (pfa), Biter error rate (BER) and Power spectral density (PSD) are compared and analysed with the conventional spectrum sensing algorithms. It is seen that the proposed hybrid algorithms obtained a substantial detection performance at the low Signal to noise ratio (SNR).","PeriodicalId":233627,"journal":{"name":"Известия высших учебных заведений. Радиоэлектроника","volume":"103 51","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Известия высших учебных заведений. Радиоэлектроника","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20535/s0021347023050023","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 article highlights the potential advantages of the proposed hybrid algorithm for 6G. The algorithm's adaptability addresses the dynamic spectral characteristics of 6G environments, enabling seamless transition between different spectral conditions. The hybrid approach holds promise for enhancing spectrum utilization, reducing interference, and optimizing overall communication system performance. As 6G technology evolves, the integration of Energy Detection and Cyclostationary Spectrum Sensing through the hybrid algorithm offers a glimpse into innovative techniques that can shape the future of wireless communication, unlocking the potential for enhanced connectivity, efficiency, and user experience. Several parameters such as Probability of detection (Pd), Probability of false alarm (pfa), Biter error rate (BER) and Power spectral density (PSD) are compared and analysed with the conventional spectrum sensing algorithms. It is seen that the proposed hybrid algorithms obtained a substantial detection performance at the low Signal to noise ratio (SNR).

查看原文本刊更多论文

在 6G 无线电系统中增强认知无线电的混合频谱感知能力

本文重点介绍了针对 6G 提出的混合算法的潜在优势。该算法的适应性可应对 6G 环境的动态频谱特性，实现不同频谱条件之间的无缝转换。混合方法有望提高频谱利用率、减少干扰并优化整体通信系统性能。随着 6G 技术的发展，通过混合算法将能量检测和环静止频谱传感整合在一起，让我们看到了可塑造未来无线通信的创新技术，释放了增强连接性、效率和用户体验的潜力。我们将检测概率（Pd）、误报概率（ppa）、误码率（BER）和功率谱密度（PSD）等参数与传统的频谱传感算法进行了比较和分析。结果表明，所提出的混合算法在信噪比（SNR）较低的情况下也能获得很好的检测性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Известия высших учебных заведений. Радиоэлектроника

自引率

0.00%

发文量