{"title":"基于优化MIMO的增强型OFDM 5G多载波系统","authors":"K. Manoj, Patidar Manish, S. Narendra","doi":"10.24818/18423264/57.2.23.17","DOIUrl":null,"url":null,"abstract":". Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out-of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of-band, carrier frequency offset in an efficient and equalised manner without any error and losses.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimized MIMO Based Enhanced OFDM for Multi Carrier System with 5G Waveforms\",\"authors\":\"K. Manoj, Patidar Manish, S. Narendra\",\"doi\":\"10.24818/18423264/57.2.23.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out-of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of-band, carrier frequency offset in an efficient and equalised manner without any error and losses.\",\"PeriodicalId\":1,\"journal\":{\"name\":\"Accounts of Chemical Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2023-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accounts of Chemical Research\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.24818/18423264/57.2.23.17\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.24818/18423264/57.2.23.17","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Optimized MIMO Based Enhanced OFDM for Multi Carrier System with 5G Waveforms
. Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out-of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of-band, carrier frequency offset in an efficient and equalised manner without any error and losses.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.