A. Yudnikov, D. Zabirov, V. Lyashev, Mikhail Kirichenko
{"title":"利用终端传感器最小化多普勒传播影响","authors":"A. Yudnikov, D. Zabirov, V. Lyashev, Mikhail Kirichenko","doi":"10.1109/BlackSeaCom48709.2020.9234964","DOIUrl":null,"url":null,"abstract":"Doppler spread appears when user equipment (UE) moves relative to gNodeB base station (gNB) in multipath propagation environment. It results in phase rotation of a transmitted signal, demodulation errors and channel capacity decreasing. The article discusses the utilization of UE location and velocity obtained from UE on-board sensors (e.g. Global Positioning System (GPS) and Inertial Measurement Unit (IMU) sensors in the case of smartphones) as well as scatters positions data acquired from map services for Doppler spread estimation. The algorithm for its impact minimization is presented. The computational experiments conducted in MATLAB using Quadriga channel model demonstrate the efficiency of proposed technique in terms of Modulation Error Ratio (MER).","PeriodicalId":186939,"journal":{"name":"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Doppler Spread Impact Minimization via Terminal Sensors Usage\",\"authors\":\"A. Yudnikov, D. Zabirov, V. Lyashev, Mikhail Kirichenko\",\"doi\":\"10.1109/BlackSeaCom48709.2020.9234964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Doppler spread appears when user equipment (UE) moves relative to gNodeB base station (gNB) in multipath propagation environment. It results in phase rotation of a transmitted signal, demodulation errors and channel capacity decreasing. The article discusses the utilization of UE location and velocity obtained from UE on-board sensors (e.g. Global Positioning System (GPS) and Inertial Measurement Unit (IMU) sensors in the case of smartphones) as well as scatters positions data acquired from map services for Doppler spread estimation. The algorithm for its impact minimization is presented. The computational experiments conducted in MATLAB using Quadriga channel model demonstrate the efficiency of proposed technique in terms of Modulation Error Ratio (MER).\",\"PeriodicalId\":186939,\"journal\":{\"name\":\"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BlackSeaCom48709.2020.9234964\",\"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 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BlackSeaCom48709.2020.9234964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Doppler Spread Impact Minimization via Terminal Sensors Usage
Doppler spread appears when user equipment (UE) moves relative to gNodeB base station (gNB) in multipath propagation environment. It results in phase rotation of a transmitted signal, demodulation errors and channel capacity decreasing. The article discusses the utilization of UE location and velocity obtained from UE on-board sensors (e.g. Global Positioning System (GPS) and Inertial Measurement Unit (IMU) sensors in the case of smartphones) as well as scatters positions data acquired from map services for Doppler spread estimation. The algorithm for its impact minimization is presented. The computational experiments conducted in MATLAB using Quadriga channel model demonstrate the efficiency of proposed technique in terms of Modulation Error Ratio (MER).