{"title":"Intelligent Index Recognition for OFDM With Index Modulation in Underwater OWC Systems","authors":"Xinyue Zhang;Zhihong Zeng;Pengfei Du;Bangjiang Lin;Chen Chen","doi":"10.1109/LPT.2024.3458444","DOIUrl":null,"url":null,"abstract":"Orthogonal frequency division multiplexing with index modulation (OFDM-IM) is a promising scheme for underwater optical wireless communication (UOWC) due to its high power efficiency and flexibility. In this letter, we propose and experimentally demonstrate an intelligent index recognition scheme for OFDM-IM in UOWC systems. Considering the unique activation patterns of OFDM-IM with different numbers of activated subcarriers within each subblock, the signal histograms in the frequency domain are adopted as the features for recognition. Moreover, various machine learning or deep learning algorithms are further utilized as the tools to perform intelligent index recognition based on the distinctive frequency-domain histograms. Experimental results demonstrate the feasibility of the proposed intelligent index recognition scheme for OFDM-IM in UOWC systems. In addition, the impact of the number of bins and the number of symbols on the performance of index recognition is also studied.","PeriodicalId":13065,"journal":{"name":"IEEE Photonics Technology Letters","volume":"36 20","pages":"1249-1252"},"PeriodicalIF":2.3000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Photonics Technology Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10678739/","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Orthogonal frequency division multiplexing with index modulation (OFDM-IM) is a promising scheme for underwater optical wireless communication (UOWC) due to its high power efficiency and flexibility. In this letter, we propose and experimentally demonstrate an intelligent index recognition scheme for OFDM-IM in UOWC systems. Considering the unique activation patterns of OFDM-IM with different numbers of activated subcarriers within each subblock, the signal histograms in the frequency domain are adopted as the features for recognition. Moreover, various machine learning or deep learning algorithms are further utilized as the tools to perform intelligent index recognition based on the distinctive frequency-domain histograms. Experimental results demonstrate the feasibility of the proposed intelligent index recognition scheme for OFDM-IM in UOWC systems. In addition, the impact of the number of bins and the number of symbols on the performance of index recognition is also studied.
期刊介绍：
IEEE Photonics Technology Letters addresses all aspects of the IEEE Photonics Society Constitutional Field of Interest with emphasis on photonic/lightwave components and applications, laser physics and systems and laser/electro-optics technology. Examples of subject areas for the above areas of concentration are integrated optic and optoelectronic devices, high-power laser arrays (e.g. diode, CO2), free electron lasers, solid, state lasers, laser materials'' interactions and femtosecond laser techniques. The letters journal publishes engineering, applied physics and physics oriented papers. Emphasis is on rapid publication of timely manuscripts. A goal is to provide a focal point of quality engineering-oriented papers in the electro-optics field not found in other rapid-publication journals.
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