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Advanced Simulation of Generalized Wireless Channels

Grant number: 18/20179-9
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): March 01, 2019
Effective date (End): February 28, 2022
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Principal Investigator:José Cândido Silveira Santos Filho
Grantee:Vanessa Mendes Rennó
Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

In wireless communication systems, the phenomenon of multiple path fading is modeled by means of statistical distributions of the most diverse, such as Rayleigh, Rice and Nakagami-m.In order to meet the constant increase in demand for data services, it is necessary to describe the communication channel in a more deep and realistic way, through more flexible statistical distributions.The distributions alpha-mu, kappa-mu e eta-mu are generalized statistical models that represent, each, the combined effect of two aspects of the phenomena of fading into wireless channels.In these three distributions, the multipath phenomenon is represented by the parameter mu > 0.However, it occurs that only for very limited cases where mu is integer or multiple of medium, the original fading model itself can be used as the simulation framework for the samples of those channels.In fact, there is no simulation scheme for fading channels alpha-mu, kappa-mu e eta-mu that (i) includes phase and envelope , (ii) allow arbitrary real values of the fading parameters, (iii) correspond to the exact first order characteristics, and (iv) provide an excellent approximation to the second order statistics associated with the statistical models.This Research Project aims to contribute to fill this gap by designing and analyzing simulation schemes for the generalized channels alpha-mu, kappa-mu e eta-mu in order to meet the requirements listed here. To do so, we intend to adapt an innovative simulation framework named rank-matching-random-mixture, once proposed by the advisor's research group, in the (simpler) context of the Nakagami-m channel.It is the cascading combination of two simulation techniques - rank-matching and random-mixture, the first of which is also an original proposal of the advisor's research group.The analysis of the proposed simulators will be done based on the obtaining of analytical expressions for the main statistics of first and second orders. As a term of comparison, analytic expressions will also be obtained for the corresponding statistics of the simulators implemented using the rank-matching and random-mixture techniques.