Xiaomeng He, Yingshu Wang, Shu Yuan, Xiaobing Xiao, Yue Li
{"title":"Research on rate adaptive control of power communication dispatching based on iterative weighted virtual force algorithm","authors":"Xiaomeng He, Yingshu Wang, Shu Yuan, Xiaobing Xiao, Yue Li","doi":"10.1145/3579654.3579712","DOIUrl":null,"url":null,"abstract":"The adaptive control of power communication scheduling rate based on iterative weighted virtual force algorithm is studied to expand the scope of power communication scheduling and improve the information transmission rate of power communication network. The iterative weighted virtual force algorithm is used to weight the grid cells iteratively, and the perceived nodes of the nodes are constantly changed through the initialization stage and the iteration stage, so as to expand the coverage of the power communication network; Based on OFDM allocation technology, a mathematical model of power minimization and transmission rate maximization in power communication is constructed, and a bit algorithm is proposed to adaptively optimize the mathematical model. According to the gain estimation value, the estimated value of signal-to-noise ratio of more subchannels is known, and additional bits are adaptively allocated to subchannels with lower bit error rate, so as to realize adaptive control of power communication scheduling rate. The experiment shows that:; This method can control a wider power communication range, faster information transmission rate and lower signal-to-noise ratio.","PeriodicalId":146783,"journal":{"name":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3579654.3579712","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The adaptive control of power communication scheduling rate based on iterative weighted virtual force algorithm is studied to expand the scope of power communication scheduling and improve the information transmission rate of power communication network. The iterative weighted virtual force algorithm is used to weight the grid cells iteratively, and the perceived nodes of the nodes are constantly changed through the initialization stage and the iteration stage, so as to expand the coverage of the power communication network; Based on OFDM allocation technology, a mathematical model of power minimization and transmission rate maximization in power communication is constructed, and a bit algorithm is proposed to adaptively optimize the mathematical model. According to the gain estimation value, the estimated value of signal-to-noise ratio of more subchannels is known, and additional bits are adaptively allocated to subchannels with lower bit error rate, so as to realize adaptive control of power communication scheduling rate. The experiment shows that:; This method can control a wider power communication range, faster information transmission rate and lower signal-to-noise ratio.