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Measurement And Modeling Simulation Of The Millimeter-Wave Channel

Posted on:2019-04-03Degree:MasterType:Thesis
Country:ChinaCandidate:C YangFull Text:PDF
GTID:2348330542498684Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the continuous development of wireless communication systems,people have put forward higher requirements on the frequency coverage and broadband transmission capabilities of wireless channels.In order to characterize the transmission mechanism of wireless signals more accurately,channel modeling needs to be adopted to abstractly describe the wireless environment and to characterize the physical characteristics of the wireless environment through a series of variable parameters.Under the background of rapid development of 5G technology,signal transmission also shows many new features,including channel characteristics in large-scale multi-antenna array configuration and channel characteristics in millimeter-wave band communications.Various research institutes both at home and abroad,including the 3 GPP standardization organization,have also made a lot of achievements in the field of channel measurement and modeling.However,the existing modeling theories and methods have low applicable frequency band and lack of sufficient high-frequency scene measurement data and other issues.How to effectively measure and accurately model the hot spots in the millimeter-wave band is an urgent problem to be solved.The main contents of this article include:First,the actual measurement of the channel characteristics in the millimeter-wave band for the 5G hot scene is performed.Use Keysight's latest millimeter-wave hardware and software test system for indoor and outdoor scene channel measurement.Indoor scenes selected high-speed rail station,space open facilities arranged in neat rows.Outdoor scene selection of micro-urban area,the building height is appropriate,arranged in an orderly manner,in line with the standard scene requirements.Combined with the practical experience of channel measurement at home and abroad,the channel is captured and characterized using a multi-channel instrument combination to evaluate the channel performance in the 5-GHz band.The planned scene is reasonably planned to determine hardware and software configurations,measurement points and measurement paths in different scenarios.Measurement procedures and methods of operation have some reference value for further carrying out wider channel measurement activities.Second,the parameters of the original measurement data extraction,based on the measured results of the millimeter-wave band channel modeling.The original measured data is reconstructed to obtain a complete set of parameters.Then based on the measured path loss for the two methods are given,the fitting effect is analyzed.At the same time,the channel modeling algorithm in the millimeter-wave band is proposed.The generation methods of the large-scale and the small-scale parameters in the millimeter-wave channel model are described in detail,and the reference values of the distribution characteristics of the parameters are given.Third,the simulation results of the millimeter-wave channel model based on the actual measurement and the traditional channel model based on the geometric randomness are compared.The parameters of mean square delay spread and three-dimensional angular spread were analyzed under the same scene characteristics.The trend of change was qualitatively analyzed by CDF curve,and the specific values were quantitatively analyzed by mean variance parameter table.The results show that the simulation results based on the measured millimeter wave channel model agree well with the measured data and are better than the traditional model.These results have certain reference value for further optimizing the modeling algorithm and improving the accuracy of the channel model parameters in the millimeter-wave band.
Keywords/Search Tags:Millimeter-Wave, Channel Mesurement, Data Extraction, Channel Modeling, Simulation Comparison
PDF Full Text Request
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