{"title":"基于DAV算法的LOS和NLOS场景的D2D通信性能分析","authors":"A. Sreedevi, T. Rao","doi":"10.1109/ICCS1.2017.8326020","DOIUrl":null,"url":null,"abstract":"Massive growth of connected devices, network traffic and wide range of application requirements have paved way for Device-to-device (D2D) network communication. This paper offers a D2D network model at 28 and 60 GHz, and methods to calculate the received-signal-strength (RSS) and signal-to-interference-plus-noise-ratio (SINR). The propagation analysis of two scenarios, Line of Sight (LOS) and Non-Line of Sight (NLOS) communication is modelled, and analyzed using network sum rate. A generalized joint optimization problem which maximizes the whole rate of the D2D network using an association vector algorithm is also presented. Simulation results show network performance and its dependency over distance and frequency using Device Association Vector Algorithm (DAVA).","PeriodicalId":367360,"journal":{"name":"2017 IEEE International Conference on Circuits and Systems (ICCS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"D2D communications performance analysis for LOS and NLOS scenarios with DAV algorithm\",\"authors\":\"A. Sreedevi, T. Rao\",\"doi\":\"10.1109/ICCS1.2017.8326020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Massive growth of connected devices, network traffic and wide range of application requirements have paved way for Device-to-device (D2D) network communication. This paper offers a D2D network model at 28 and 60 GHz, and methods to calculate the received-signal-strength (RSS) and signal-to-interference-plus-noise-ratio (SINR). The propagation analysis of two scenarios, Line of Sight (LOS) and Non-Line of Sight (NLOS) communication is modelled, and analyzed using network sum rate. A generalized joint optimization problem which maximizes the whole rate of the D2D network using an association vector algorithm is also presented. Simulation results show network performance and its dependency over distance and frequency using Device Association Vector Algorithm (DAVA).\",\"PeriodicalId\":367360,\"journal\":{\"name\":\"2017 IEEE International Conference on Circuits and Systems (ICCS)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Circuits and Systems (ICCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCS1.2017.8326020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Circuits and Systems (ICCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCS1.2017.8326020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
D2D communications performance analysis for LOS and NLOS scenarios with DAV algorithm
Massive growth of connected devices, network traffic and wide range of application requirements have paved way for Device-to-device (D2D) network communication. This paper offers a D2D network model at 28 and 60 GHz, and methods to calculate the received-signal-strength (RSS) and signal-to-interference-plus-noise-ratio (SINR). The propagation analysis of two scenarios, Line of Sight (LOS) and Non-Line of Sight (NLOS) communication is modelled, and analyzed using network sum rate. A generalized joint optimization problem which maximizes the whole rate of the D2D network using an association vector algorithm is also presented. Simulation results show network performance and its dependency over distance and frequency using Device Association Vector Algorithm (DAVA).
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