{"title":"基于阈值的能量感知的SDR协议切换波形选择","authors":"Pasd Putthapipat, J. Andrian","doi":"10.1109/ELINFOCOM.2014.6914368","DOIUrl":null,"url":null,"abstract":"Software Defined Radio (SDR) concept is becoming the future of mobile device due to its capability of switching between multiple waveforms. However energy consumption is still one of the most critical limitations in mobile applications. SDR needs an advanced selection scheme to choose the most optimized waveform to transmit, especially in term of energy efficiency. This paper proposes to adapt a threshold technique to improve the performance of the selection algorithm.","PeriodicalId":360207,"journal":{"name":"2014 International Conference on Electronics, Information and Communications (ICEIC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy aware waveform selection with threshold for SDR protocols switching\",\"authors\":\"Pasd Putthapipat, J. Andrian\",\"doi\":\"10.1109/ELINFOCOM.2014.6914368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software Defined Radio (SDR) concept is becoming the future of mobile device due to its capability of switching between multiple waveforms. However energy consumption is still one of the most critical limitations in mobile applications. SDR needs an advanced selection scheme to choose the most optimized waveform to transmit, especially in term of energy efficiency. This paper proposes to adapt a threshold technique to improve the performance of the selection algorithm.\",\"PeriodicalId\":360207,\"journal\":{\"name\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Electronics, Information and Communications (ICEIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINFOCOM.2014.6914368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Electronics, Information and Communications (ICEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINFOCOM.2014.6914368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy aware waveform selection with threshold for SDR protocols switching
Software Defined Radio (SDR) concept is becoming the future of mobile device due to its capability of switching between multiple waveforms. However energy consumption is still one of the most critical limitations in mobile applications. SDR needs an advanced selection scheme to choose the most optimized waveform to transmit, especially in term of energy efficiency. This paper proposes to adapt a threshold technique to improve the performance of the selection algorithm.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
