{"title":"基于GRNN的协同车辆网络中断概率预测","authors":"亚斌 李","doi":"10.12677/hjwc.2023.131001","DOIUrl":null,"url":null,"abstract":"For the Internet of vehicles (IoV) communication system, for the sake of improving the transmission performance, a multi-relay and multi-antenna cooperative vehicular network (CVN) model was established, and an outage probability (OP) prediction algorithm based on generalized regression neural network (GRNN) was designed. The communication links follow the cascaded Nakagmi-m distribution, the relays use hybrid decode-amplify farward (HDAF) protocol, and the","PeriodicalId":66606,"journal":{"name":"无线通信","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of Outage Probability of Cooperative Vehicular Network Based on GRNN\",\"authors\":\"亚斌 李\",\"doi\":\"10.12677/hjwc.2023.131001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the Internet of vehicles (IoV) communication system, for the sake of improving the transmission performance, a multi-relay and multi-antenna cooperative vehicular network (CVN) model was established, and an outage probability (OP) prediction algorithm based on generalized regression neural network (GRNN) was designed. The communication links follow the cascaded Nakagmi-m distribution, the relays use hybrid decode-amplify farward (HDAF) protocol, and the\",\"PeriodicalId\":66606,\"journal\":{\"name\":\"无线通信\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"无线通信\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.12677/hjwc.2023.131001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"无线通信","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.12677/hjwc.2023.131001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Prediction of Outage Probability of Cooperative Vehicular Network Based on GRNN
For the Internet of vehicles (IoV) communication system, for the sake of improving the transmission performance, a multi-relay and multi-antenna cooperative vehicular network (CVN) model was established, and an outage probability (OP) prediction algorithm based on generalized regression neural network (GRNN) was designed. The communication links follow the cascaded Nakagmi-m distribution, the relays use hybrid decode-amplify farward (HDAF) protocol, and the