Talks and Poster Presentations (with Proceedings-Entry):
M. Fereydooni, M. K. Müller, M. Rupp:
"Effective Network Area for Efﬁcient Simulation of Finite Area Wireless Networks";
Talk: 26th European Signal Processing Conference (EUSIPCO) 2018,
- 07-07-2018; in: "EUSIPCO 2018",
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 if the minimal simulation area (the smallest area that allows to obtain reliable coverage results) and the reduced simulation overhead by increasing the simulation area.
System level simulations, ﬁnite area networks, point processes, wireless cellular networks
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