Pawan Kumar, Lavish Kansal, G. S. Gaba, M. El Bakkali, Faisel E. M. Tubbal, Suhila Abulgasem
{"title":"不同脉冲整形滤波器增强SC分集组合方案的GFDM系统误码率分析","authors":"Pawan Kumar, Lavish Kansal, G. S. Gaba, M. El Bakkali, Faisel E. M. Tubbal, Suhila Abulgasem","doi":"10.1109/TSSA.2018.8708808","DOIUrl":null,"url":null,"abstract":"Wireless communication technologies are revolutionizing the way of traditional communication. Moreover, the growth from 1G to 5G is phenomenal. Internet of Everything has created a huge impact on the people’s lifestyle. Expectations of more data rates with enhanced reliability gave rise to Multiple Input Multiple Output. The pulse shaping filters play a significant role in Generalized Frequency Division Multiplexing (GFDM). By varying the pulse shaping filter, Bit Error Rates (BER) can be reduced. This paper presents the performance analyses of various pulse shaping filter such as Square Root Raised Cosine (SRRC), Raised Cosine (RC) and Gaussian filter in different scenarios. The BER rates are calculated under different channel modeling conditions in GFDM-Multiple Input Multiple Output (MIMO) environment with Selection combining scheme for various pulse shaping filters.","PeriodicalId":159795,"journal":{"name":"2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"BER analysis of GFDM system augmented with SC diversity combining scheme for diverse Pulse Shaping Filters\",\"authors\":\"Pawan Kumar, Lavish Kansal, G. S. Gaba, M. El Bakkali, Faisel E. M. Tubbal, Suhila Abulgasem\",\"doi\":\"10.1109/TSSA.2018.8708808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless communication technologies are revolutionizing the way of traditional communication. Moreover, the growth from 1G to 5G is phenomenal. Internet of Everything has created a huge impact on the people’s lifestyle. Expectations of more data rates with enhanced reliability gave rise to Multiple Input Multiple Output. The pulse shaping filters play a significant role in Generalized Frequency Division Multiplexing (GFDM). By varying the pulse shaping filter, Bit Error Rates (BER) can be reduced. This paper presents the performance analyses of various pulse shaping filter such as Square Root Raised Cosine (SRRC), Raised Cosine (RC) and Gaussian filter in different scenarios. The BER rates are calculated under different channel modeling conditions in GFDM-Multiple Input Multiple Output (MIMO) environment with Selection combining scheme for various pulse shaping filters.\",\"PeriodicalId\":159795,\"journal\":{\"name\":\"2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TSSA.2018.8708808\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 12th International Conference on Telecommunication Systems, Services, and Applications (TSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSSA.2018.8708808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
BER analysis of GFDM system augmented with SC diversity combining scheme for diverse Pulse Shaping Filters
Wireless communication technologies are revolutionizing the way of traditional communication. Moreover, the growth from 1G to 5G is phenomenal. Internet of Everything has created a huge impact on the people’s lifestyle. Expectations of more data rates with enhanced reliability gave rise to Multiple Input Multiple Output. The pulse shaping filters play a significant role in Generalized Frequency Division Multiplexing (GFDM). By varying the pulse shaping filter, Bit Error Rates (BER) can be reduced. This paper presents the performance analyses of various pulse shaping filter such as Square Root Raised Cosine (SRRC), Raised Cosine (RC) and Gaussian filter in different scenarios. The BER rates are calculated under different channel modeling conditions in GFDM-Multiple Input Multiple Output (MIMO) environment with Selection combining scheme for various pulse shaping filters.