{"title":"谁在5G移动网络中领先:均衡器还是极化分集器?","authors":"Farah Arabian, M. Rice, R. Hu","doi":"10.1109/IETC47856.2020.9249121","DOIUrl":null,"url":null,"abstract":"This paper studies combine-then-equalize and equalize-then-combine receiver architectures in a multicarrier scenario motivated by 5G cellular systems. The BER performance of these two receiver architectures with polarization diversity is compared. The results show that the combine-then-equalize approach better exploits the inherent diversity in the system.","PeriodicalId":186446,"journal":{"name":"2020 Intermountain Engineering, Technology and Computing (IETC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Who's On First In 5G Mobile Networks: Equalizers or Polarization Diversity Combiners?\",\"authors\":\"Farah Arabian, M. Rice, R. Hu\",\"doi\":\"10.1109/IETC47856.2020.9249121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies combine-then-equalize and equalize-then-combine receiver architectures in a multicarrier scenario motivated by 5G cellular systems. The BER performance of these two receiver architectures with polarization diversity is compared. The results show that the combine-then-equalize approach better exploits the inherent diversity in the system.\",\"PeriodicalId\":186446,\"journal\":{\"name\":\"2020 Intermountain Engineering, Technology and Computing (IETC)\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Intermountain Engineering, Technology and Computing (IETC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IETC47856.2020.9249121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Intermountain Engineering, Technology and Computing (IETC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IETC47856.2020.9249121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Who's On First In 5G Mobile Networks: Equalizers or Polarization Diversity Combiners?
This paper studies combine-then-equalize and equalize-then-combine receiver architectures in a multicarrier scenario motivated by 5G cellular systems. The BER performance of these two receiver architectures with polarization diversity is compared. The results show that the combine-then-equalize approach better exploits the inherent diversity in the system.