A Black−box Identification Framework for Wireless Terahertz Networks

 This paper discusses the feasibility of wireless Terahertz communications links deployed in a metropolitan area and lays down a black-box system identification framework to model the large scale fading of such channels. The movement of the receiver is modeled in state space by an autonomous dynamic linear system whereas the geometric relations involved in the attenuation and multi-path propagation of the electric field are described by a static nonlinear mapping. A subspace algorithm in conjunction with polynomial regression is used to identify a Wiener model from time-domain measurements of the field intensity. The identification procedure is validated by using the model to perform predictions in a simulation involving direct line-of-sight propagation, ground and wall reflection as well as diffraction around a corner. The proposed algorithm is of interest to developers providing U.S. E-911 compliant solutions as well as Location-Based Services (LBS), such as turn-by-turn navigation, mobile resource and logistics management. Keywords System identification, telecommunications, Terahertz, subspace identification, Wiener systems.