{"title":"链路自适应认知无线网络能耗分析","authors":"R. Mahapatra","doi":"10.1109/ANTS.2009.5409875","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the energy consumption of a wireless cognitive radio (CR) network, where each node is equipped with CR and the network is an OFDMA system operating on time slots. In particular, we investigate the energy consumption efficiency in CR network using a joint adaptive modulation and power allocation algorithm. We also investigate the optimum network area for green communication.","PeriodicalId":245765,"journal":{"name":"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Energy consumption analysis in link adaptive cognitive radio network\",\"authors\":\"R. Mahapatra\",\"doi\":\"10.1109/ANTS.2009.5409875\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the energy consumption of a wireless cognitive radio (CR) network, where each node is equipped with CR and the network is an OFDMA system operating on time slots. In particular, we investigate the energy consumption efficiency in CR network using a joint adaptive modulation and power allocation algorithm. We also investigate the optimum network area for green communication.\",\"PeriodicalId\":245765,\"journal\":{\"name\":\"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)\",\"volume\":\"175 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANTS.2009.5409875\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE 3rd International Symposium on Advanced Networks and Telecommunication Systems (ANTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANTS.2009.5409875","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy consumption analysis in link adaptive cognitive radio network
In this paper, we investigate the energy consumption of a wireless cognitive radio (CR) network, where each node is equipped with CR and the network is an OFDMA system operating on time slots. In particular, we investigate the energy consumption efficiency in CR network using a joint adaptive modulation and power allocation algorithm. We also investigate the optimum network area for green communication.