| Grant number: | 18/25009-4 |
| Support Opportunities: | Scholarships in Brazil - Doctorate |
| Start date: | April 01, 2019 |
| End date: | March 31, 2023 |
| Field of knowledge: | Engineering - Electrical Engineering - Telecommunications |
| Principal Investigator: | José Cândido Silveira Santos Filho |
| Grantee: | Francisco Raimundo Albuquerque Parente |
| Host Institution: | Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil |
Abstract In wireless communications systems, the channel between transmitter and receiver is subject to random fluctuations of amplitude and phase. This phenomenon is known as fading. In order to model the fading channel, statistical distributions such as Rayleigh, Rice, Hoyt, Nakagami-m, and Weibull have been widely used in the literature. However, in order to meet the growing demand for data services, it is necessary to employ a more versatile and realistic description of the wireless channel. In this way, the use of generalized fading distributions, such as α-μ, η-μ, κ-μ, is more appropriate. It is well known that the fading phenomenon impairs the performance of wireless systems, degrading paramount metrics like bit error rate and outage probability. These metrics appear in terms of a variety of combinations - sums, products, maxima, minima, harmonic averages, among others - of the wireless links that compose the system. This depends upon how the links are arranged as well as upon the communication protocol employed on each link. Nevertheless, the statistical analysis of such arrays is typically complicated, if not unfeasible. And that difficulty increases in advanced-generation systems, for which complex arrays of cooperative wireless links are envisioned, being cognitively and dynamically adjusted, with multiple routes from multiple relays connecting source to destination. In this research project, we intend to develop a general analytical framework to characterize the asymptotic behavior of different types of wireless link arrays that compose advanced-generation communication systems. The asymptotic characterization allows to overcome the inherent difficulties of the exact statistical treatment, while guaranteeing an excellent approximation for operational regimes of practical interest, from medium to high signal-to-noise ratio. The proposal encompasses generalized fading models as well as mutually correlated arrays, which is quite plausible in emerging technologies with massive use of multiple transmissions and receptions. In addition, based on the developed analytical characterization, we intend to elaborate optimal resource-allocation criteria for all link arrays investigated herein. (AU) | |
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