{"title":"认知无线电节能CSS硬、软融合技术性能比较","authors":"Girraj Sharma, Ritu Sharma","doi":"10.1109/ICACAT.2018.8933672","DOIUrl":null,"url":null,"abstract":"In this paper Comparative analysis of hard and soft fusion techniques for Energy Efficient cooperative spectrum sensing (CSS) is presented. CSS is the efficient way of detecting spectrum holes in cognitive radio (CR) network by combining sensing information of various CR users also known as secondary users (SUs). In CSS, energy resources become precious when the SUs in CR network are battery operated. So it becomes important to use their energy efficiently. In this paper, Hard fusion techniques like AND, OR and Majority and soft fusion techniques like square law selection (SLS) and square law combine (SLC) fusion are explained and fusion rule threshold that maximizes the EE is calculated. Results show that for Energy Efficient CSS, Majority fusion outperforms other fusion techniques. For majority fusion EE is 4.4% more compared to SLS fusion and maximum EE is 3.8 Mbits/Hz/joule at sensing time equals to 2ms.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"120 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Performance comparison of hard and soft fusion Techniques for Energy Efficient CSS in Cognitive Radio\",\"authors\":\"Girraj Sharma, Ritu Sharma\",\"doi\":\"10.1109/ICACAT.2018.8933672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper Comparative analysis of hard and soft fusion techniques for Energy Efficient cooperative spectrum sensing (CSS) is presented. CSS is the efficient way of detecting spectrum holes in cognitive radio (CR) network by combining sensing information of various CR users also known as secondary users (SUs). In CSS, energy resources become precious when the SUs in CR network are battery operated. So it becomes important to use their energy efficiently. In this paper, Hard fusion techniques like AND, OR and Majority and soft fusion techniques like square law selection (SLS) and square law combine (SLC) fusion are explained and fusion rule threshold that maximizes the EE is calculated. Results show that for Energy Efficient CSS, Majority fusion outperforms other fusion techniques. For majority fusion EE is 4.4% more compared to SLS fusion and maximum EE is 3.8 Mbits/Hz/joule at sensing time equals to 2ms.\",\"PeriodicalId\":6575,\"journal\":{\"name\":\"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)\",\"volume\":\"120 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACAT.2018.8933672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACAT.2018.8933672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance comparison of hard and soft fusion Techniques for Energy Efficient CSS in Cognitive Radio
In this paper Comparative analysis of hard and soft fusion techniques for Energy Efficient cooperative spectrum sensing (CSS) is presented. CSS is the efficient way of detecting spectrum holes in cognitive radio (CR) network by combining sensing information of various CR users also known as secondary users (SUs). In CSS, energy resources become precious when the SUs in CR network are battery operated. So it becomes important to use their energy efficiently. In this paper, Hard fusion techniques like AND, OR and Majority and soft fusion techniques like square law selection (SLS) and square law combine (SLC) fusion are explained and fusion rule threshold that maximizes the EE is calculated. Results show that for Energy Efficient CSS, Majority fusion outperforms other fusion techniques. For majority fusion EE is 4.4% more compared to SLS fusion and maximum EE is 3.8 Mbits/Hz/joule at sensing time equals to 2ms.