{"title":"5G无线网络中FBMC收发器的低功耗实现","authors":"M. Saber, A. Nader, M. Nasr","doi":"10.1109/IINTEC.2018.8695296","DOIUrl":null,"url":null,"abstract":"Filter bank multi-carrier (FBMC) is the candidate modulation technique for the next generation of wireless networks (5G) as it provides a better spectral efficiency with little intersymbol interference (ISI) and intercarrier interference (ICI). Unfortunately, FBMC architecture has a complex structure; a large number of multipliers, adders, and subtractors are needed to implement fast fourier transform (FFT) and finite impulse response (FIR) components, which causes a high-power consumption and reduce the speed of the entire system especially in case of a large number of subscribers. This paper presents a complete design and implementation of a proposed low power FBMC transceiver architecture for a different number of multi-users or subscribers. The suggested method aims to reduce power consumption and area resources through reducing the complexity of the FFT (2n Points) processor by using a feedback loop with a (n) points FFT core. Also, the design of FIR filters is based on distributed arithmetic (DA) algorithm in which all multiplications and additions are replaced by a table and a shifter. The design and implementation are done using a Xilinx system generator tool and spartan-6 field programmable gate array (FPGA) board. The proposed implementation method presents a reduction in resources by 15 % compared to conventional implementation.","PeriodicalId":144578,"journal":{"name":"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Low Power Implementation of FBMC Transceiver for 5G Wireless Networks\",\"authors\":\"M. Saber, A. Nader, M. Nasr\",\"doi\":\"10.1109/IINTEC.2018.8695296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Filter bank multi-carrier (FBMC) is the candidate modulation technique for the next generation of wireless networks (5G) as it provides a better spectral efficiency with little intersymbol interference (ISI) and intercarrier interference (ICI). Unfortunately, FBMC architecture has a complex structure; a large number of multipliers, adders, and subtractors are needed to implement fast fourier transform (FFT) and finite impulse response (FIR) components, which causes a high-power consumption and reduce the speed of the entire system especially in case of a large number of subscribers. This paper presents a complete design and implementation of a proposed low power FBMC transceiver architecture for a different number of multi-users or subscribers. The suggested method aims to reduce power consumption and area resources through reducing the complexity of the FFT (2n Points) processor by using a feedback loop with a (n) points FFT core. Also, the design of FIR filters is based on distributed arithmetic (DA) algorithm in which all multiplications and additions are replaced by a table and a shifter. The design and implementation are done using a Xilinx system generator tool and spartan-6 field programmable gate array (FPGA) board. The proposed implementation method presents a reduction in resources by 15 % compared to conventional implementation.\",\"PeriodicalId\":144578,\"journal\":{\"name\":\"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IINTEC.2018.8695296\",\"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 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IINTEC.2018.8695296","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low Power Implementation of FBMC Transceiver for 5G Wireless Networks
Filter bank multi-carrier (FBMC) is the candidate modulation technique for the next generation of wireless networks (5G) as it provides a better spectral efficiency with little intersymbol interference (ISI) and intercarrier interference (ICI). Unfortunately, FBMC architecture has a complex structure; a large number of multipliers, adders, and subtractors are needed to implement fast fourier transform (FFT) and finite impulse response (FIR) components, which causes a high-power consumption and reduce the speed of the entire system especially in case of a large number of subscribers. This paper presents a complete design and implementation of a proposed low power FBMC transceiver architecture for a different number of multi-users or subscribers. The suggested method aims to reduce power consumption and area resources through reducing the complexity of the FFT (2n Points) processor by using a feedback loop with a (n) points FFT core. Also, the design of FIR filters is based on distributed arithmetic (DA) algorithm in which all multiplications and additions are replaced by a table and a shifter. The design and implementation are done using a Xilinx system generator tool and spartan-6 field programmable gate array (FPGA) board. The proposed implementation method presents a reduction in resources by 15 % compared to conventional implementation.