{"title":"基于集成分类器的超5G大规模MIMO (mMIMO)通信调制识别","authors":"Md. Habibur Rahman, M. Shahjalal, Y. Jang","doi":"10.1109/ICAIIC51459.2021.9415269","DOIUrl":null,"url":null,"abstract":"Massive MIMO (mMIMO) communication has been considered as pivotal and significant technology to furnish the expected demand of Fifth-generation (5G) and beyond 5G systems. It provides enormous potentiality to 5G systems by the deployment of excessive antennas at base station. Therefore, the probability of using different modulation by different transmitters has been increased aiming to reduce bit error rate as well as enhance data rate. It leads to develop intelligent receiver that can efficiently classify and recognize accurate modulation and decodes data. To shed light on this issue, automatic modulation recognition scheme based on ensemble classifier has been studied in this paper. The overall performance analysis of the ensemble classifier for several modulated radio signal has been presented in this article. The simulation results justify the exactitude of ensemble classifier as efficient one for modulation classification.","PeriodicalId":432977,"journal":{"name":"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Ensemble Classifier Based Modulation Recognition for Beyond 5G Massive MIMO (mMIMO) Communication\",\"authors\":\"Md. Habibur Rahman, M. Shahjalal, Y. Jang\",\"doi\":\"10.1109/ICAIIC51459.2021.9415269\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Massive MIMO (mMIMO) communication has been considered as pivotal and significant technology to furnish the expected demand of Fifth-generation (5G) and beyond 5G systems. It provides enormous potentiality to 5G systems by the deployment of excessive antennas at base station. Therefore, the probability of using different modulation by different transmitters has been increased aiming to reduce bit error rate as well as enhance data rate. It leads to develop intelligent receiver that can efficiently classify and recognize accurate modulation and decodes data. To shed light on this issue, automatic modulation recognition scheme based on ensemble classifier has been studied in this paper. The overall performance analysis of the ensemble classifier for several modulated radio signal has been presented in this article. The simulation results justify the exactitude of ensemble classifier as efficient one for modulation classification.\",\"PeriodicalId\":432977,\"journal\":{\"name\":\"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIIC51459.2021.9415269\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIC51459.2021.9415269","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ensemble Classifier Based Modulation Recognition for Beyond 5G Massive MIMO (mMIMO) Communication
Massive MIMO (mMIMO) communication has been considered as pivotal and significant technology to furnish the expected demand of Fifth-generation (5G) and beyond 5G systems. It provides enormous potentiality to 5G systems by the deployment of excessive antennas at base station. Therefore, the probability of using different modulation by different transmitters has been increased aiming to reduce bit error rate as well as enhance data rate. It leads to develop intelligent receiver that can efficiently classify and recognize accurate modulation and decodes data. To shed light on this issue, automatic modulation recognition scheme based on ensemble classifier has been studied in this paper. The overall performance analysis of the ensemble classifier for several modulated radio signal has been presented in this article. The simulation results justify the exactitude of ensemble classifier as efficient one for modulation classification.