{"title":"基于计算机三维仿真技术的数据传输仿真系统研究","authors":"Qi Zhang, Xinghua Li","doi":"10.1109/ISAIEE57420.2022.00029","DOIUrl":null,"url":null,"abstract":"This paper models the spatial distribution of communication node data in cellular heterogeneous networks based on computer three-dimensional simulation technology and using spatial Poisson point process. In this paper, the mathematical expectation, probability density function and cumulative distribution function of interference in the network are analyzed, and the cumulative distribution function of the signal-to-interference ratio of non-cellular communication nodes is derived. This paper configures different parameters for the cellular heterogeneous network that supports direct user communication and the cellular heterogeneous network that introduces small sites. The method compares the interference in two types of cellular heterogeneous networks under the premise of ensuring that the minimum signal power actually received by the user is equal. The paper verifies the correctness of the proposed analytical model and its derivation process through system-level simulation.","PeriodicalId":345703,"journal":{"name":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","volume":"20 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Data Transmission Simulation System Based on Computer 3D Simulation Technology\",\"authors\":\"Qi Zhang, Xinghua Li\",\"doi\":\"10.1109/ISAIEE57420.2022.00029\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper models the spatial distribution of communication node data in cellular heterogeneous networks based on computer three-dimensional simulation technology and using spatial Poisson point process. In this paper, the mathematical expectation, probability density function and cumulative distribution function of interference in the network are analyzed, and the cumulative distribution function of the signal-to-interference ratio of non-cellular communication nodes is derived. This paper configures different parameters for the cellular heterogeneous network that supports direct user communication and the cellular heterogeneous network that introduces small sites. The method compares the interference in two types of cellular heterogeneous networks under the premise of ensuring that the minimum signal power actually received by the user is equal. The paper verifies the correctness of the proposed analytical model and its derivation process through system-level simulation.\",\"PeriodicalId\":345703,\"journal\":{\"name\":\"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)\",\"volume\":\"20 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISAIEE57420.2022.00029\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Symposium on Advances in Informatics, Electronics and Education (ISAIEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISAIEE57420.2022.00029","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Data Transmission Simulation System Based on Computer 3D Simulation Technology
This paper models the spatial distribution of communication node data in cellular heterogeneous networks based on computer three-dimensional simulation technology and using spatial Poisson point process. In this paper, the mathematical expectation, probability density function and cumulative distribution function of interference in the network are analyzed, and the cumulative distribution function of the signal-to-interference ratio of non-cellular communication nodes is derived. This paper configures different parameters for the cellular heterogeneous network that supports direct user communication and the cellular heterogeneous network that introduces small sites. The method compares the interference in two types of cellular heterogeneous networks under the premise of ensuring that the minimum signal power actually received by the user is equal. The paper verifies the correctness of the proposed analytical model and its derivation process through system-level simulation.