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Multimodal fading models for advanced generation of wireless communications systems

Grant number: 23/02578-1
Support Opportunities:Scholarships in Brazil - Doctorate
Effective date (Start): August 01, 2023
Effective date (End): July 31, 2026
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal Investigator:Michel Daoud Yacoub
Grantee:Maria Cecilia Luna Alvarado
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

In wireless communication systems, the radio signal suffers degradation due to disturbances present in the channel. Particularly, three phenomena are responsible for such degradation: path loss, long-term or large-scale fading, and short-term or small-scale fading, the latter being the object of this Research Project. Maintaining the other system parameters, such as operating frequency, antenna height, etc., path loss occurs as the receiver moves away from the transmitter. Long-term fading, in turn, occurring in tens of wavelengths, is characterized by shadowing of the signal due to obstacles present in the radio path. Short-term fading, occurring in fractions of a wavelength, is a consequence of the multipath effect. While path loss concerns the average over the signal area and can be quantified in a deterministic way, both types of fading imply stochastic fluctuations, being characterized by different statistical models. Long-term fading implies fluctuations in the area mean value while short-term fading implies fluctuations in the local mean value. Both path loss and fading assume a fundamental role in the design and evaluation of the performance of wireless communication systems.A stochastic model is described by first-order and higher-order statistics, comprising the random variable (RV), the probability density function (PDF), the cumulative distribution function (CDF), auto-correlation function, etc. Although it is common to model the channel using classical distributions (e.g., Rayleigh, Rice, Nakagami-m, Weibull, alpha-mu, eta-mu, kappa-mu), the development of new technologies, applications, and advanced wireless systems models require more sophisticated models. For example, it is known that in Terahertz (THz) communications, the faded signal can present characteristics different from those observed for lower frequency bands. In particular, PDFs can be bi- or multi-modal. Thus, the development of new short-term fading models is necessary. It is a fact that some models are already presented in the literature. However, these models, in general, appear to be mathematical artifices and intractable from a practical point of view. In addition, the imposed mathematical artificiality makes the extension to cover higher order statistics impractical.The objective of this Research Project is the development of a short-term fading model in a wireless communication channel for advanced systems. The model is intended to be based on physical assumptions so that both first-order and higher-order statistics can be developed and shown to be mathematically tractable. (AU)

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