{"title":"Variance normalizing transform for performance improvement in radio-over-fiber systems","authors":"Iman Tavakkolnia, M. Safari","doi":"10.1109/EuCNC.2016.7561043","DOIUrl":null,"url":null,"abstract":"Radio-over-fiber (ROF) will be an indispensable part of future wireless communication networks to support backhaul connectivity. The performance of ROF communication system is impaired with signal-dependent distortions in the optical fiber link such as shot noise and relative intensity noise. In this paper, these signal-dependent distortions of the ROF channel are analyzed in more details and a variance normalizing technique is proposed to normalize the noise power. In effect, the signal-dependent noisy ROF channel is converted to a signal-independent additive white Gaussian noise channel for which the conventional signaling techniques are efficient. The results show significant performance improvements for the proposed technique in terms of signal-to-noise ratio.","PeriodicalId":416277,"journal":{"name":"2016 European Conference on Networks and Communications (EuCNC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 European Conference on Networks and Communications (EuCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuCNC.2016.7561043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Radio-over-fiber (ROF) will be an indispensable part of future wireless communication networks to support backhaul connectivity. The performance of ROF communication system is impaired with signal-dependent distortions in the optical fiber link such as shot noise and relative intensity noise. In this paper, these signal-dependent distortions of the ROF channel are analyzed in more details and a variance normalizing technique is proposed to normalize the noise power. In effect, the signal-dependent noisy ROF channel is converted to a signal-independent additive white Gaussian noise channel for which the conventional signaling techniques are efficient. The results show significant performance improvements for the proposed technique in terms of signal-to-noise ratio.