{"title":"5G多频段蜂窝网络频谱数据库中基于kriging的RSSI覆盖发现预测","authors":"Y. Ogawa, M. Umehira, Xiaoyan Wang","doi":"10.23919/APCC.2017.8304056","DOIUrl":null,"url":null,"abstract":"5G systems are expected to employ C/U (Control/User)-plane split and massive deployment of small cells for high frequency reuse at SHF bands such as 28GHz band in conjunction with a macro cell using traditional UHF bands to meet increasing demand for higher capacity. In 5G multi-band cellular networks, an energy efficient SHF band cell discovery technique is required since SHF band cells will be deployed on a hot-spot basis. This paper proposes Kriging-based RSSI (Received signal strength indication) prediction for cell coverage discovery using spectrum database in 5G multi-band cellular networks. This paper also describes performance evaluation results of the Kriging-based RSSI prediction using ray-tracing simulation and demonstrates the feasibility of the proposed RSSI prediction method.","PeriodicalId":320208,"journal":{"name":"2017 23rd Asia-Pacific Conference on Communications (APCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Kriging-based RSSI prediction for cell coverage discovery using spectrum database in 5G multi-band cellular networks\",\"authors\":\"Y. Ogawa, M. Umehira, Xiaoyan Wang\",\"doi\":\"10.23919/APCC.2017.8304056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"5G systems are expected to employ C/U (Control/User)-plane split and massive deployment of small cells for high frequency reuse at SHF bands such as 28GHz band in conjunction with a macro cell using traditional UHF bands to meet increasing demand for higher capacity. In 5G multi-band cellular networks, an energy efficient SHF band cell discovery technique is required since SHF band cells will be deployed on a hot-spot basis. This paper proposes Kriging-based RSSI (Received signal strength indication) prediction for cell coverage discovery using spectrum database in 5G multi-band cellular networks. This paper also describes performance evaluation results of the Kriging-based RSSI prediction using ray-tracing simulation and demonstrates the feasibility of the proposed RSSI prediction method.\",\"PeriodicalId\":320208,\"journal\":{\"name\":\"2017 23rd Asia-Pacific Conference on Communications (APCC)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 23rd Asia-Pacific Conference on Communications (APCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/APCC.2017.8304056\",\"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 23rd Asia-Pacific Conference on Communications (APCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/APCC.2017.8304056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
5G系统预计将采用C/U(控制/用户)平面分割和大规模部署小型小区,以便在28GHz频段等SHF频段进行高频复用,同时使用传统UHF频段的宏小区,以满足对更高容量日益增长的需求。在5G多频段蜂窝网络中,由于将在热点基础上部署SHF频段蜂窝,因此需要高效节能的SHF频段蜂窝发现技术。本文提出了一种基于kriging的RSSI (Received signal strength indication,接收信号强度指示)预测方法,用于5G多频段蜂窝网络中频谱数据库的蜂窝覆盖发现。本文还描述了基于kriging的RSSI预测的射线追踪仿真性能评价结果,并论证了所提出的RSSI预测方法的可行性。
Kriging-based RSSI prediction for cell coverage discovery using spectrum database in 5G multi-band cellular networks
5G systems are expected to employ C/U (Control/User)-plane split and massive deployment of small cells for high frequency reuse at SHF bands such as 28GHz band in conjunction with a macro cell using traditional UHF bands to meet increasing demand for higher capacity. In 5G multi-band cellular networks, an energy efficient SHF band cell discovery technique is required since SHF band cells will be deployed on a hot-spot basis. This paper proposes Kriging-based RSSI (Received signal strength indication) prediction for cell coverage discovery using spectrum database in 5G multi-band cellular networks. This paper also describes performance evaluation results of the Kriging-based RSSI prediction using ray-tracing simulation and demonstrates the feasibility of the proposed RSSI prediction method.