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 (ControUUser)-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.