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- W3204509077 abstract "Strauss point process is one of the most important repulsive models in stochastic geometry. However, the analytical intractability impose great restriction on its applications for modeling and analysis of wireless networks where the regularity is observed. Considering the accuracy and practicability tradeoff, we introduce the Poisson approximation for Strauss intensity, and derive the mean interference using two different approaches: Campbell's theorem and second-order statistic K function, respectively. We also provide approximations of the interference distribution by four well-known probability density functions (e.g. gamma, inverse gamma, inverse Gaussian and Weibull distributions). Simulation results show that the gamma distribution has the best goodness-of-fit to the empirical data." @default.
- W3204509077 created "2021-10-11" @default.
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- W3204509077 date "2021-08-01" @default.
- W3204509077 modified "2023-09-23" @default.
- W3204509077 title "Interference in Strauss Wireless Networks" @default.
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- W3204509077 doi "https://doi.org/10.1109/icceai52939.2021.00101" @default.
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