Name
Abstract | ||
|---|---|---|
A wide-spread approach for modeling and for the performance evaluation of wireless networks is employing Poisson point processes (PPPs). There, the general assumption is that an infinite number of nodes is distributed in the network environment. This is not problematic in a purely analytic framework, but is unfeasible when Monte-Carlo system level simulations are employed for network evaluation. In order to obtain results in a finite simulation-duration, the simulation area also has to be finite, which leads to a deviation of performance results when compared to analytical approach with infinitely many base stations. This deviation however is only small when the simulation area is sufficiently large. In this paper we discuss which part of the simulation area yields results whose deviation from the analytical results does not exceed a predefined threshold. We present an approximation that is based on the base station geometry and depends on the base station density. Additionally, we discuss the relationship of the minimal simulation area (the smallest area that allows to obtain reliable coverage results) and the reduced simulation overhead by increasing the simulation area. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/EUSIPCO.2018.8553111 | European Signal Processing Conference |
Keywords | Field | DocType |
System level simulations,finite area networks,point processes,wireless cellular networks | Base station,Signal processing,Topology,Wireless network,Monte Carlo method,Computer science,Point process,Cellular network,Poisson distribution,System level | Conference |
ISSN | Citations | PageRank |
2076-1465 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehdi Fereydooni | 1 | 8 | 2.98 |
| Martin Klaus Muller | 2 | 42 | 6.59 |
| Markus Rupp | 3 | 1970 | 219.14 |