Probability of cell overlapping in femtocell environment
Marek Sedláček, Robert Bešťák
Abstract
Marek Sedláček, Robert Bešťák
Abstract
Present network deployment approaches are not designed to manage large numbers of base stations, key requirement of emerging mobile technologies is their self-organizing capabilities. This is even more crucial in case of small cells such as femtocells. This paper discuses an automatic cell identifier assignment procedure with the focus on collision events that can be viewed as cell overlapping problem. We investigate femtocell intersection probability when randomly placing femtocell access points within a macrocell. Various combinations of femtocell densities and femtocell radii are taken into account in our analysis. Our study and obtained results can be used to decide which cell identifier assignment methods should be applied in a given situation.
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Present network deployment approaches are not designed to manage large numbers of base stations, key requirement of emerging mobile technologies is their self-organizing capabilities. This is even more crucial in case of small cells such as femtocells. This paper discuses an automatic cell identifier assignment procedure with the focus on collision events that can be viewed as cell overlapping problem. We investigate femtocell intersection probability when randomly placing femtocell access points within a macrocell. Various combinations of femtocell densities and femtocell radii are taken into account in our analysis. Our study and obtained results can be used to decide which cell identifier assignment methods should be applied in a given situation.
Key concepts: Femtocell, Macrocell, Computer science, Computer network, Intersection (aeronautics), Interference (communication), Software deployment, Cellular network