On the distribution of the time of the first communication release in wireless networks with caching

 
PIIS023408790001180-2-1
DOI10.31857/S023408790001180-2
Publication type Article
Status Published
Authors
Affiliation:
Keldysh Institute of Applied Mathematics of RAS
Peoples’ Friendship University of Russia (RUDN University)
Address: Russian Federation
Affiliation: Keldysh Institute of Applied Mathematics of RAS, Peoples’ Friendship University of Russia (RUDN University)
Address: Russian Federation
Affiliation: Peoples’ Friendship University of Russia (RUDN University), Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of RAS
Address: Russian Federation
Affiliation: Peoples’ Friendship University of Russia (RUDN University), Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of RAS
Address: Russian Federation
Journal nameMatematicheskoe modelirovanie
EditionVolume 30 Number 8
Pages131-142
Abstract

The function analyzes the time distribution of the first communication failure in D2D wireless networks as a function of the caching time, assuming that subscribers make a nonstationary random walk. This distribution function is constructed numerically on the basis of generation of an ensemble of nonstationary trajectories, a series of incremental increments of which is determined by solving the Fokker-Planck equation in the unit square in the plane with mirror reflection conditions from the boundaries. This method allows you to effectively solve the problems of stochastic control and analyze the conditions for the stability of connections in wireless networks.

Keywordswireless connection, caching, kinetic equation, random walk modeling, time distribution of the first clipping
Received04.10.2018
Publication date04.10.2018
Number of characters606
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1. Petrov V., Moltchanov D., Kustarev P., Jornet J.M., and Koucheryavy Y. On the use of integral geometry for interference modeling and analysis in wireless networks // IEEE Communications Letters, 2016, v.20, p.2530-2533.

2. Samuylov A., Ometov A., Moltchanov D., Andreev S., Begishev V., Kovalchukov R., Gaidamaka Y., Samouylov K., Koucheryavy Y. Analytical performance estimation of network assisted D2D communications in urban scenarios with rectangular cells // Transactions on Emerging Telecommunications Technologies, 2017, v.28, № 2.

3. Yang K., Zhao Z., Liu J., and Liu Q. H. Robust adaptive beamforming, using an iterative FFT algorithm // Signal Processing, 2014, v.96, p.253-260.

4. Gajdamaka Yu.V., Orlov Yu.N., Molchanov D.A., Samujlov A.K. Modelirovanie otnosheniya signal/interferentsiya v mobil'noj seti so sluchajnym bluzhdaniem vzaimodejstvuyuschikh ustrojstv // Informatika i ee primenenie, 2017, t.11, №2, s.50-58.

5. Orlov Y., Kirina-Lilinskaya E., Samuylov A., Ometov A., Moltchanov D., Gaidamaka Yu., Andreev S., Samouylov K. Time-Dependent SIR Analysis in Shopping Malls Using Fractal Based Mobility Models // Lecture Notes in Computer Science, 10372, p.16-25.

6. Fedorov S.L., Orlov Yu.N. Metody chislennogo modelirovaniya protsessov nestatsionarnogo sluchajnogo bluzhdaniya. – M: MFTI, 2016.

7. Orlov Yu.N. Kineticheskie metody issledovaniya nestatsionarnykh vremennykh ryadov. – M: MFTI, 2014.

8. Durbin J. Distribution Theory for Tests Based on the Sample Distribution Function. – Society for Industrial & Applied Mathematics, Philadelphia, 1972.

9. Justel A., Pena D., Zamar R. A multivariate Kolmogorov – Smirnov test of goodness of fit. // Statistics & Probability Letters, 1997, v.35, p.251-259.

10. Drew J.H., Glen A.G. and Leemis L.M. Computing the cumulative distribution function of the Kolmogorov-Smirnov statistic // Computational Statistics and Data Analysis, 2000, v.34, p.1-15.

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