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Resource distribution in heterogeneous networks

Authors: KOUCHERYAVY Y.A.; SAMOUYLOV K.E.;

Resource distribution in heterogeneous networks

Abstract

Предложена методология оценки производительности гетерогенных сетей связи пятого поколения, основанная на комплексном применении методов теории массового обслуживания и стохастической геометрии. Представлена новая классификация, позволяющая определить применимость конкретных подходов. Рассмотренная методология иллюстрируется на примере пикосот, для которых в явном виде получены: стационарное распределение, ожидаемое число сессий и вероятность блокировки.

In this paper we propose a new methodology for performance evaluation of 5G heterogeneous communication networks based on the queueing theory and stochastic geometry. The new classification allowing to define applicability of specific approaches is presented. The proposed methodology is illustrated on the example of pi-cocells scenario, for which we obtained the stationary distribution, the expected number of sessions and the blocking probability.

Keywords

интенсивность переходов, пространственно-временная методология, stochastic geometry, стохастическая геометрия, intensity of transitions, теория массового обслуживания, queueing theory, space-time methodology, стационарное распределение, stationary distribution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green