2018
DOI: 10.1587/transcom.2017ebp3405
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Analysis and Implementation of a QoS Optimization Method for Access Networks

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Cited by 2 publications
(1 citation statement)
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“…Therefore, the above system can be modeled as an M‐dimensional Markov chain, whose state can be described by the vector bold-italicn=false(n1,n2,0.3em,nMfalse). The system's stationary distribution is described in the following form: Pfalse(n1,n2,0.3em,nMfalse)=ρ1n1ρ2n2ρMnMG, where G is a normalization constant guaranteeing that Pfalse(n1,n2,0.3em,nMfalse) is a probability distribution, that is, G=false(n1,n2,0.3em,nMfalse)Sρ1n1ρ2n2ρMnM, where S is the state space of the Markov chain.…”
Section: System Model and Analysismentioning
confidence: 99%
“…Therefore, the above system can be modeled as an M‐dimensional Markov chain, whose state can be described by the vector bold-italicn=false(n1,n2,0.3em,nMfalse). The system's stationary distribution is described in the following form: Pfalse(n1,n2,0.3em,nMfalse)=ρ1n1ρ2n2ρMnMG, where G is a normalization constant guaranteeing that Pfalse(n1,n2,0.3em,nMfalse) is a probability distribution, that is, G=false(n1,n2,0.3em,nMfalse)Sρ1n1ρ2n2ρMnM, where S is the state space of the Markov chain.…”
Section: System Model and Analysismentioning
confidence: 99%