Informatics and Applications
2017, Volume 11, Issue 4, pp 2-9
METHOD OF MODELING INTERFERENCE CHARACTERISTICS IN HETEROGENEOUS FIFTH GENERATION WIRELESS NETWORKS WITH DEVICE-TO-DEVICE COMMUNICATIONS
- Yu. Gaidamaka
- K. Samouylov
- S. Shorgin
Abstract
The paper shows the construction of the model of the moving of interacting devices in heterogeneous wireless networks of the fifth generation with the help of the kinetic equation taking into account a given average speed of the devices, their spatial density, and the maximum allowable communication radius. A method for generating trajectories is proposed where the transceivers move randomly and the walk is not stationary in general.
This is the feature of the study which distinguishes the proposed model from previously known models. Interference characteristics, including signal-interference ratio (SIR), are studied in the form of a time-continuous random process, the problem of calculating these characteristics is proposed to be solved by simulations. It is shown that such analysis makes it possible to investigate the probabilistic characteristics of the interaction of devices such as signal interruption probability for the receiver-transmitter pair, the random variables for the duration of the availability period, and the period of absence of communication.
[+] References (18)
- Mouly, M., and M. B. Pautet. 1992. The GSM system for mobile communications. Washington, DC: Telecom Pub-lishing. 701 p.
- Vishnevskiy, V.M., S.L. Portnoy, and I.V Shakhnovich.
2009. Entsiklopediya WiMAX. Put' k 4G [Encyclopedia of WiMAX. The way to 4G]. Moscow: Tekhnosfera. 472 p.
- Holma, H., and A. Toskala, eds. 2005. WCDMA for UMTS: Radio access for third generation mobile communications. Chichester, UK: John Wiley & Sons. 478 p.
- Sesia, S., M. Baker, and I. Toufik. 2011. LTE-the UMTS long term evolution: From theory to practice. Chichester, UK: John Wiley & Sons. 792 p.
- Ott, H.W. 1979. Noise reduction techniques in electronic systems. New York, NY: John Wiley & Sons. 294 p.
- Rong, Z., and T. S. Rappaport. 1996. Wireless communica-tions: Principles and practice. 1st ed. Upper Saddle River, NJ: Prentice Hall. 641 p.
- Baccelli, F, and B. Blaszczyszyn. 2010. Stochastic geometry and wireless networks. Found. Trends Netw. 3(3- 4):249-449 (doi: 10.1561/1300000006); 4(1-2):1-312 (doi: 10.1561/1300000026).
- Haenggi, M. 2012. Stochastic geometry for wireless networks. Cambridge: Cambridge University Press. 298 p.
- Samuylov, A., A. Ometov, V. Begishev, R. Kovalchukov,
D. Moltchanov, Yu. Gaidamaka, K. Samouylov, S. Andreev, and Y. Koucheryavy. 2015. Analytical performance estimation of network-assisted D2D communications in urban scenarios with rectangular cells. T. Emerg. Telecom- mun. T. 28(2):2999-1-2999-15. doi: 10.1002/ett.2999.
- Samuylov, A., Yu. Gaidamaka, D. Moltchanov, S. Andreev, andY Koucheryavy. 2015. Random triangle: Abase- line model for interference analysis in heterogeneous networks. IEEE T. Veh. Technol. 65(8):6778-6782. doi: 10.1109/TVT.2016.2596324.
- Gaydamaka, Yu. V., and A. K. Samuylov. 2009. Metod rascheta kharakteristik interferentsii dvukh vzaimodeyst- vuyushchikh ustroystv v besprovodnoy geterogennoy seti [The method of calculation of the characteristics of the interference of two interacting devices in a wireless hetero-geneous network]. Informatika iee Primeneniya - Inform. Appl. 9(1):9-14. doi: 10.14357/19922264150102.
- Gaydamaka, Yu. V., S.D. Andreev, E. S. Sopin, K. E. Samuylov, and S. Ya. Shorgin. 2016. Analiz kharak- teristik interferentsii v modeli vzaimodeystviya ustroystv s uchetom sredy rasprostraneniya signala [Analysis of the characteristics of the interference in the model of interaction between devices taking into account the signal propagation environment]. Informatika i ee Primenen iya - Inform.Appl. 10(4):2-10. doi: 10.14357/19922264160401.
- Orlov, Yu. N., S.L. Fedorov, A. K. Samuylov, Yu.V. Gaidamaka, and D. A. Molchanov. 2017. Simulation of devices mobility to estimate wireless channel quality metrics in 5G networks. AIPConf. Proc. 1863:0900051-090005-3. doi: 10.1063/1.4992270.
- Gaydamaka, Yu.V., Yu. N. Orlov, D.A. Molchanov, and A. K. Samuylov. 2017. Modelirovanie otnosheniya sig-nal/interferentsiya v mobil'noy seti so sluchaynym bluzh- daniem vzaimodeystvuyushchikh ustroystv [Modeling the signal-interference ratio in a mobile network with moving devices]. Informatika iee Primeneniya - Inform. Appl. 11(2):50-58. doi: 10.14357/19922264170206.
- Bosov, A. D., R. Sh. Kalmetiev, and Yu. N. Orlov 2014. Modelirovanie nestatsionarnogo vremennogo rya- da s zadannymi svoystvami vyborochnogo raspredeleniya [Sample distribution function construction for non- stationary time-series forecasting]. Matem. mod. [Mathe-matical Simulation]. 26(3):97-107.
- Orlov, Yu. N. and S. L. Fedorov 2016. Generatsiya nesta- tsionarnykh traektoriy vremennogo ryada na osnove urav- neniya Fokkera-Planka [Generation of non-stationary trajectories of the time series based on the Fokker-Planck equation]. Trudy MFTI [MIPTProc.] 8(2):126-133.
- Orlov, Yu. N., and S. L. Fedorov. 2016. Metody chislenno- go modelirovaniya protsessov nestatsionarnogo sluchaynogo bluzhdaniya [Methods of a numerical simulation of non- stationary random walk]. Moscow: MIPT. 112 p.
- Orsino, A., D. Moltchanov, M. Gapeyenko, A. Samuylov,
S. Andreev, L. Militano, G. Araniti, and Y. Koucheryavy. 2016. Direct connection on the move: Characterization of user mobility in cellular-assisted D2D systems. IEEE Veh. Technol. Mag. 11(3):38-48. doi: 10.1109/MVT.2016.2550002.
[+] About this article
Title
METHOD OF MODELING INTERFERENCE CHARACTERISTICS IN HETEROGENEOUS FIFTH GENERATION WIRELESS NETWORKS WITH DEVICE-TO-DEVICE COMMUNICATIONS
Journal
Informatics and Applications
2017, Volume 11, Issue 4, pp 2-9
Cover Date
2017-12-30
DOI
10.14357/19922264170401
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
wireless heterogeneous network; signal-interference ratio; device-to-device (D2D); motion model; kinetic equation; trajectories generation; network efficiency indicators
Authors
Yu. Gaidamaka  ,  , K. Samouylov , ,
and S. Shorgin
Author Affiliations
Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
|