{"title":"基于最小化隐藏终端问题的认知网络频谱检测","authors":"Y. Reddy","doi":"10.1109/ITNG.2012.20","DOIUrl":null,"url":null,"abstract":"In the wireless network, the node is visible but is not available for communication. Similarly, the primary signal is present and difficult to detect. The primary signal problem is similar to hidden node problem, but currently interpreted as false alarms. In this research, two models (probability based and Drake's equation) were designed and tested through simulations. The results show that Drake's equation with probability-based model performs better than basic probability-based model to detect the hidden signal.","PeriodicalId":117236,"journal":{"name":"2012 Ninth International Conference on Information Technology - New Generations","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spectrum Detection in Cognitive Networks by Minimizing Hidden Terminal Problem\",\"authors\":\"Y. Reddy\",\"doi\":\"10.1109/ITNG.2012.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the wireless network, the node is visible but is not available for communication. Similarly, the primary signal is present and difficult to detect. The primary signal problem is similar to hidden node problem, but currently interpreted as false alarms. In this research, two models (probability based and Drake's equation) were designed and tested through simulations. The results show that Drake's equation with probability-based model performs better than basic probability-based model to detect the hidden signal.\",\"PeriodicalId\":117236,\"journal\":{\"name\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth International Conference on Information Technology - New Generations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNG.2012.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Ninth International Conference on Information Technology - New Generations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNG.2012.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spectrum Detection in Cognitive Networks by Minimizing Hidden Terminal Problem
In the wireless network, the node is visible but is not available for communication. Similarly, the primary signal is present and difficult to detect. The primary signal problem is similar to hidden node problem, but currently interpreted as false alarms. In this research, two models (probability based and Drake's equation) were designed and tested through simulations. The results show that Drake's equation with probability-based model performs better than basic probability-based model to detect the hidden signal.