S. Avallone, N. Pasquino, S. Zinno, Domenico Casillo
{"title":"Experimental characterization of lte adaptive modulation and coding scheme under actual operating conditions","authors":"S. Avallone, N. Pasquino, S. Zinno, Domenico Casillo","doi":"10.1109/IWMN.2017.8078401","DOIUrl":null,"url":null,"abstract":"4G Long Term Evolution (LTE) mobile system adopts Adaptive Modulation and Coding (AMC) as a link adaption mechanism that is based on the User Equipment (UE) periodically reporting channel condition summarised through Channel Quality Indicator (CQI) which, in turn, is based on Signal-to-Interference-plus-Noise Ratio (SINR) and Reference Signal Received Power (RSRP). Although CQI has a predominant role in accurately assignment of radio resources, standards do not define how to compute CQI from SINR and RSRP, so that each UE manufacturer operates according to proprietary policies. The paper focuses on the efficient evaluation of the relationship between SINR, RSRP and CQI and also to assess how AMC affects LTE performance. To operate in a realist environment, measurements are carried out with a smartphone-based procedure.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Workshop on Measurement and Networking (M&N)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWMN.2017.8078401","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
4G Long Term Evolution (LTE) mobile system adopts Adaptive Modulation and Coding (AMC) as a link adaption mechanism that is based on the User Equipment (UE) periodically reporting channel condition summarised through Channel Quality Indicator (CQI) which, in turn, is based on Signal-to-Interference-plus-Noise Ratio (SINR) and Reference Signal Received Power (RSRP). Although CQI has a predominant role in accurately assignment of radio resources, standards do not define how to compute CQI from SINR and RSRP, so that each UE manufacturer operates according to proprietary policies. The paper focuses on the efficient evaluation of the relationship between SINR, RSRP and CQI and also to assess how AMC affects LTE performance. To operate in a realist environment, measurements are carried out with a smartphone-based procedure.
4G LTE (Long Term Evolution)移动系统采用自适应调制和编码(AMC)作为链路自适应机制,该机制基于用户设备(UE)定期报告通过信道质量指标(CQI)总结的信道状况,而CQI又基于信噪比(SINR)和参考信号接收功率(RSRP)。尽管CQI在准确分配无线电资源方面发挥着主导作用,但标准并没有定义如何从SINR和RSRP计算CQI,因此每个UE制造商都根据专有策略操作。本文的重点是有效评估SINR、RSRP和CQI之间的关系,并评估AMC如何影响LTE性能。为了在现实环境中操作,测量是通过基于智能手机的程序进行的。