Raouf Abozariba, M. Patwary, A. Soliman, Mohamed Abdel-Maguid
{"title":"认知无线电网络中的位置感知协同频谱感知","authors":"Raouf Abozariba, M. Patwary, A. Soliman, Mohamed Abdel-Maguid","doi":"10.1109/AEECT.2015.7360555","DOIUrl":null,"url":null,"abstract":"Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. Spectrum sensing decisions can lead to erroneous sensing due to fading, shadowing and other interferences caused by either terrain inconsistency or dense urban structure. In order to improve spectrum sensing decisions, in this paper a cooperative spectrum sensing scheme is proposed, which takes the propagation conditions such as the variance and intensity of terrain and urban structure between two points with respect to signal propagation into consideration. We have also derived the optimum fusion rule which takes location reliability into consideration. The analytical results show that the proposed scheme outperform the conventional cooperative spectrum sensing approaches.","PeriodicalId":227019,"journal":{"name":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Location-aware cooperative spectrum sensing within cognitive radio networks\",\"authors\":\"Raouf Abozariba, M. Patwary, A. Soliman, Mohamed Abdel-Maguid\",\"doi\":\"10.1109/AEECT.2015.7360555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. Spectrum sensing decisions can lead to erroneous sensing due to fading, shadowing and other interferences caused by either terrain inconsistency or dense urban structure. In order to improve spectrum sensing decisions, in this paper a cooperative spectrum sensing scheme is proposed, which takes the propagation conditions such as the variance and intensity of terrain and urban structure between two points with respect to signal propagation into consideration. We have also derived the optimum fusion rule which takes location reliability into consideration. The analytical results show that the proposed scheme outperform the conventional cooperative spectrum sensing approaches.\",\"PeriodicalId\":227019,\"journal\":{\"name\":\"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"volume\":\"150 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEECT.2015.7360555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEECT.2015.7360555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Location-aware cooperative spectrum sensing within cognitive radio networks
Spectrum sensing is the key enabling technology for cognitive radio networks. The main objective of spectrum sensing is to provide more spectrum access opportunities to cognitive radio users without interfering with the operations of the licensed network. Spectrum sensing decisions can lead to erroneous sensing due to fading, shadowing and other interferences caused by either terrain inconsistency or dense urban structure. In order to improve spectrum sensing decisions, in this paper a cooperative spectrum sensing scheme is proposed, which takes the propagation conditions such as the variance and intensity of terrain and urban structure between two points with respect to signal propagation into consideration. We have also derived the optimum fusion rule which takes location reliability into consideration. The analytical results show that the proposed scheme outperform the conventional cooperative spectrum sensing approaches.