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

Y. Ogawa, M. Umehira, Xiaoyan Wang
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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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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