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Simulation and statistical characterization of fluctuating Two-Ray fading channels

Grant number: 19/19935-6
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): February 01, 2020
Effective date (End): January 31, 2021
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal Investigator:Edgar Eduardo Benitez Olivo
Grantee:Eduardo Gonçalves Gomes
Home Institution: Universidade Estadual Paulista (UNESP). Campus Experimental São João da Boa Vista. São João da Boa Vista , SP, Brazil

Abstract

The pursuit of higher data rates, which provide support for a wide range of applications covered by the enhanced mobile broadband (eMBB) service in the fifth-generation mobile networks, has fostered the study of the wireless signal propagation phenomena in new radio frequency bands, such as the millimeter-wave band (mmWave), in addition to the frequency band below 6 GHz (sub-6 Hz), portions of which are already being used in the current third- and fourth-generation mobile networks. The random phenomenon known as fading, caused by the constructive and destructive interference of wireless signal replicas coming from multiple paths, is one of the crucial aspects to consider in the design and analysis of wireless communication systems, as its deleterious effect can significantly degenerate the system performance. In order to adequately characterize this phenomenon over a broad radio-frequency spectrum (sub-6GHz and mmWave) and in diverse line-of-sight and non-line-of-sight scenarios, a new statistical model called Fluctuating Two-Ray (FTR) has been recently proposed. It is a generalized model, which also includes, as particular cases, classic models such as Rayleigh, Rice, and Nakagami-$m$, widely used in the existing communication systems which are deployed in the sub-6~GHz band. This project aims to study the FTR fading channel. The implementation of simulation routines for the FTR model, as well as for the previously mentioned classic models, is contemplated. From these routines, the statistical characterization of these models will be performed. In addition, the performance in terms of the outage probability for a point-to-point communication system will be assessed.