Neural-Network-Based Root Mean Delay Spread Model for Ubiquitous Indoor Internet-of-Things Scenarios

Massive robust communication demands among machines and humans are required in ubiquitous Internet-of-Things (IoT) applications. To design the appropriate communication system, the knowledge of the propagation characteristics for various IoTs scenarios is necessary. In this article, a measurement-based neural-network-based root-mean-square (RMS) delay spread model for ubiquitous indoor IoTs scenarios is presented. The proposed model is a...