Stefan A. Damjancevic, E. Matús, Dmitry Utyansky, P. V. D. Wolf, G. Fettweis
{"title":"Towards GFDM for Handsets - Efficient and Scalable Implementation on a Vector DSP","authors":"Stefan A. Damjancevic, E. Matús, Dmitry Utyansky, P. V. D. Wolf, G. Fettweis","doi":"10.1109/VTCFall.2019.8891093","DOIUrl":null,"url":null,"abstract":"Generalised frequency division multiplexing (GFDM) is a novel multicarrier waveform with reduced out- of-band emission and peak-to-average-power-ratio compared to orthogonal frequency division multiplexing. Due to these properties, GFDM is regarded a candidate waveform for future wireless communication. However, an implementation that addresses operating conditions of handheld devices has not yet been considered. We propose a software programmable GFDM solution for handheld devices. This paper presents necessary capabilities of a vector DSP implementation to efficiently process GFDM in the context of 5G use cases. We investigate structural properties and numerical precision of the GFDM algorithm, propose a scalable vectorised approach for single instruction multiple data processing, and carry out a performance-cost evaluation. We present our key findings to enable GFDM functionality on handheld user equipment.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"207 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VTCFall.2019.8891093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Generalised frequency division multiplexing (GFDM) is a novel multicarrier waveform with reduced out- of-band emission and peak-to-average-power-ratio compared to orthogonal frequency division multiplexing. Due to these properties, GFDM is regarded a candidate waveform for future wireless communication. However, an implementation that addresses operating conditions of handheld devices has not yet been considered. We propose a software programmable GFDM solution for handheld devices. This paper presents necessary capabilities of a vector DSP implementation to efficiently process GFDM in the context of 5G use cases. We investigate structural properties and numerical precision of the GFDM algorithm, propose a scalable vectorised approach for single instruction multiple data processing, and carry out a performance-cost evaluation. We present our key findings to enable GFDM functionality on handheld user equipment.