{"title":"利用自适应多载波技术优化无线电通信网络的能量效率","authors":"Bartosz Bossy, H. Bogucka","doi":"10.1109/SOFTCOM.2015.7314111","DOIUrl":null,"url":null,"abstract":"In this paper, the energy efficiency (EE) of a radio communication network of nodes applying highly adaptive multicarrier techniques is analyzed. The link and the network models include power consumption of the baseband processing, such as adaptive modulation and coding and adaptive decoding. Simulation results show that there exists an optimal operation point for each link to maximize the EE of the whole network.","PeriodicalId":264787,"journal":{"name":"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimization of energy efficiency in radio communication networks using adaptive multicarrier techniques\",\"authors\":\"Bartosz Bossy, H. Bogucka\",\"doi\":\"10.1109/SOFTCOM.2015.7314111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the energy efficiency (EE) of a radio communication network of nodes applying highly adaptive multicarrier techniques is analyzed. The link and the network models include power consumption of the baseband processing, such as adaptive modulation and coding and adaptive decoding. Simulation results show that there exists an optimal operation point for each link to maximize the EE of the whole network.\",\"PeriodicalId\":264787,\"journal\":{\"name\":\"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOFTCOM.2015.7314111\",\"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 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOFTCOM.2015.7314111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of energy efficiency in radio communication networks using adaptive multicarrier techniques
In this paper, the energy efficiency (EE) of a radio communication network of nodes applying highly adaptive multicarrier techniques is analyzed. The link and the network models include power consumption of the baseband processing, such as adaptive modulation and coding and adaptive decoding. Simulation results show that there exists an optimal operation point for each link to maximize the EE of the whole network.