Gafur, Nila Novita (2018) Fifth Generation (5G) Mobile Networks: Study Of Percolation Threshold On Urban Road Models. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract
Stochastic geometry is a mathematical discipline that combines geometry and probability. In particular, it model complex systems with a large number of elements distributed over a geographical area and has numerous applications in telecommunications. Based on stochastic geometry, mathematical models are designed to represent aspects of wireless networks. Talking about stochastic geometry models of wireless networks will not be detached from the important role of the continuum percolation. That is an extension of the percolation theory at $\mathbb{R}^2$. It model a random network and analyze their behavior. We apply these theories to our model "the connectivity of multihop D2D (Device to Device) networks" to predict some of their characteristics, such as to estimate minimum density of devices in a territory ensuring a longdistance communication called critical percolation threshold, to model percolation probability that a given devices is in the large connected component and to find the ratio of distance of two devices who want to communicate and the number of hops necessary to establish communication. We interpret the D2D communication refers to a random graph. Using MonteCarlo simulation, we generate the data and propose some methods to get the best representation model for both urban and rural areas. We model the street systems as a PoissonVoronoi tessellation and PoissonDelaunay tessellation with varying street lengths. Our results show that the estimated value of critical percolation threshold $\widehat{\lambda_c}$ with selected method is almost same to the critical value $\lambda_c$ of Poisson Boolean model (PBM) for PoissonVoronoi tessellation (PVT) model and is quite different for PoissonDelaunay tessellation (PDT) model, e.g for radius $0.225$ km, $\widehat{\lambda_c}$ PVT is $1.42$ users/km of street, $1.51$ users/km of street for PDT and $1.418$ users/km of street for PBM. We notice also that PVT gives a very good representation for urban areas, meanwhile PDT is good for rural areas.
Item Type:  Thesis (Masters) 

Additional Information:  RTSt 519.22 Gaf f1 
Uncontrolled Keywords:  MultiHop D2D Networks; Poisson Point Process; Percolation Threshold; Percolation Probability; Tessellation; and Random Graph. 
Subjects:  Q Science > QA Mathematics > QA273.5 Stochastic geometry T Technology > T Technology (General) T Technology > TF Railroad engineering and operation > TF193 Estimates, costs, etc. Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science 
Divisions:  Faculty of Mathematics, Computation, and Data Science > Statistics > 49101(S2) Master Thesis 
Depositing User:  Gafur Nila Novita 
Date Deposited:  03 Jul 2018 07:15 
Last Modified:  01 Oct 2020 23:01 
URI:  https://repository.its.ac.id/id/eprint/51874 
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