{"title":"基于ofdm的异步多址网络SINR紧下界","authors":"Y. Medjahdi, Mustapha Amara, J. Louveaux","doi":"10.1109/ISWCS.2014.6933455","DOIUrl":null,"url":null,"abstract":"Interference modelling is an important problem necessary to design and deploy wireless communication systems. Orthogonal frequency division multiplexing (OFDM) is presented as the access technique to be used for future communication systems. Therefore, it is crucial to define a quick and reliable way of estimating signal to interference plus noise ratio (SINR) for multicarrier systems. The most used approach is based on the power spectral density where the out-of-band radiation of the interfering signal is computed. In this paper, we show the inaccuracy of this technique and evaluate its deviation compared to the exact value. We also derive tight lower bound expression for the SINR evaluation. We finally validate the expression through simulation results.1.","PeriodicalId":431852,"journal":{"name":"2014 11th International Symposium on Wireless Communications Systems (ISWCS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SINR tight lower bound for asynchronous OFDM-based multiple-access networks\",\"authors\":\"Y. Medjahdi, Mustapha Amara, J. Louveaux\",\"doi\":\"10.1109/ISWCS.2014.6933455\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Interference modelling is an important problem necessary to design and deploy wireless communication systems. Orthogonal frequency division multiplexing (OFDM) is presented as the access technique to be used for future communication systems. Therefore, it is crucial to define a quick and reliable way of estimating signal to interference plus noise ratio (SINR) for multicarrier systems. The most used approach is based on the power spectral density where the out-of-band radiation of the interfering signal is computed. In this paper, we show the inaccuracy of this technique and evaluate its deviation compared to the exact value. We also derive tight lower bound expression for the SINR evaluation. We finally validate the expression through simulation results.1.\",\"PeriodicalId\":431852,\"journal\":{\"name\":\"2014 11th International Symposium on Wireless Communications Systems (ISWCS)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 11th International Symposium on Wireless Communications Systems (ISWCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISWCS.2014.6933455\",\"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 11th International Symposium on Wireless Communications Systems (ISWCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2014.6933455","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SINR tight lower bound for asynchronous OFDM-based multiple-access networks
Interference modelling is an important problem necessary to design and deploy wireless communication systems. Orthogonal frequency division multiplexing (OFDM) is presented as the access technique to be used for future communication systems. Therefore, it is crucial to define a quick and reliable way of estimating signal to interference plus noise ratio (SINR) for multicarrier systems. The most used approach is based on the power spectral density where the out-of-band radiation of the interfering signal is computed. In this paper, we show the inaccuracy of this technique and evaluate its deviation compared to the exact value. We also derive tight lower bound expression for the SINR evaluation. We finally validate the expression through simulation results.1.