{"title":"认知特设网络的能力","authors":"Seungmo Kim, Koon-Shik Cho, Hak-Sun Kim","doi":"10.1109/APCC.2010.5679698","DOIUrl":null,"url":null,"abstract":"We analyze the capacity of an ad hoc networks when cognitive radio (CR) is deployed for traffic load reduction. This capacity, the per-link capacity, is defined as an average of Shannon capacities achieved by all links in a route. For this purpose, we propose a generalized ad hoc network model which is based on CR in its retransmission. Given the model, our analysis shows that the capacity is Ω(1/N log N)1 according to the number of nodes N, outperforming the conventional ad hoc network of which the capacity is Ω(1/N2. Further, we can also see that there exists an optimal signal-to-interference ratio (SIR) threshold that maximizes the capacity by controlling the average number of nodes served depending on CR in a link.","PeriodicalId":402292,"journal":{"name":"2010 16th Asia-Pacific Conference on Communications (APCC)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The capacity of cognitive ad hoc networks\",\"authors\":\"Seungmo Kim, Koon-Shik Cho, Hak-Sun Kim\",\"doi\":\"10.1109/APCC.2010.5679698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We analyze the capacity of an ad hoc networks when cognitive radio (CR) is deployed for traffic load reduction. This capacity, the per-link capacity, is defined as an average of Shannon capacities achieved by all links in a route. For this purpose, we propose a generalized ad hoc network model which is based on CR in its retransmission. Given the model, our analysis shows that the capacity is Ω(1/N log N)1 according to the number of nodes N, outperforming the conventional ad hoc network of which the capacity is Ω(1/N2. Further, we can also see that there exists an optimal signal-to-interference ratio (SIR) threshold that maximizes the capacity by controlling the average number of nodes served depending on CR in a link.\",\"PeriodicalId\":402292,\"journal\":{\"name\":\"2010 16th Asia-Pacific Conference on Communications (APCC)\",\"volume\":\"225 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 16th Asia-Pacific Conference on Communications (APCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCC.2010.5679698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 16th Asia-Pacific Conference on Communications (APCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2010.5679698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We analyze the capacity of an ad hoc networks when cognitive radio (CR) is deployed for traffic load reduction. This capacity, the per-link capacity, is defined as an average of Shannon capacities achieved by all links in a route. For this purpose, we propose a generalized ad hoc network model which is based on CR in its retransmission. Given the model, our analysis shows that the capacity is Ω(1/N log N)1 according to the number of nodes N, outperforming the conventional ad hoc network of which the capacity is Ω(1/N2. Further, we can also see that there exists an optimal signal-to-interference ratio (SIR) threshold that maximizes the capacity by controlling the average number of nodes served depending on CR in a link.