Wei Li, Tianyi Song, Xiuzhen Cheng, Tao Jing, Xiaoshuang Xing, T. Znati
{"title":"移动认知无线网络中的延迟建模","authors":"Wei Li, Tianyi Song, Xiuzhen Cheng, Tao Jing, Xiaoshuang Xing, T. Znati","doi":"10.1109/ICCChina.2012.6356858","DOIUrl":null,"url":null,"abstract":"In mobile cognitive radio networks, the expected delay for a packet to be delivered to its destination via a singlehop communication (without relaying) is a fundamental metric that can provide a guidance to multi-hop routing protocol design and route planning. In this paper, we characterize the impact of PU activities, spectrum availabilities, channel bandwidth, MAC access, SU mobilities, and interference, on cognitive radio network delays, and derive the expected delay for a packet to be directly delivered to its destination by incorporating both the waiting delay and the transmission delay. Simulation studies are performed to validate the effectiveness of our delay model.","PeriodicalId":154082,"journal":{"name":"2012 1st IEEE International Conference on Communications in China (ICCC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Delay modeling in mobile cognitive radio networks\",\"authors\":\"Wei Li, Tianyi Song, Xiuzhen Cheng, Tao Jing, Xiaoshuang Xing, T. Znati\",\"doi\":\"10.1109/ICCChina.2012.6356858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In mobile cognitive radio networks, the expected delay for a packet to be delivered to its destination via a singlehop communication (without relaying) is a fundamental metric that can provide a guidance to multi-hop routing protocol design and route planning. In this paper, we characterize the impact of PU activities, spectrum availabilities, channel bandwidth, MAC access, SU mobilities, and interference, on cognitive radio network delays, and derive the expected delay for a packet to be directly delivered to its destination by incorporating both the waiting delay and the transmission delay. Simulation studies are performed to validate the effectiveness of our delay model.\",\"PeriodicalId\":154082,\"journal\":{\"name\":\"2012 1st IEEE International Conference on Communications in China (ICCC)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 1st IEEE International Conference on Communications in China (ICCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCChina.2012.6356858\",\"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 1st IEEE International Conference on Communications in China (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCChina.2012.6356858","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In mobile cognitive radio networks, the expected delay for a packet to be delivered to its destination via a singlehop communication (without relaying) is a fundamental metric that can provide a guidance to multi-hop routing protocol design and route planning. In this paper, we characterize the impact of PU activities, spectrum availabilities, channel bandwidth, MAC access, SU mobilities, and interference, on cognitive radio network delays, and derive the expected delay for a packet to be directly delivered to its destination by incorporating both the waiting delay and the transmission delay. Simulation studies are performed to validate the effectiveness of our delay model.