2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577) 2004
DOI: 10.1109/icc.2004.1313231
|View full text |Cite
|
Sign up to set email alerts
|

Towards an Erlang-like law for GPRS/EDGE network engineering

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
31
0

Year Published

2004
2004
2010
2010

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 15 publications
(31 citation statements)
references
References 13 publications
0
31
0
Order By: Relevance
“…This constraint defines a maximum throughput the network interface can reach or a maximum number of resource units that can be used by the MS. This characteristic has been introduced in the case of (E)GPRS networks [9] and consists in reducing the departure rates of the first states of the Markov chain. The same idea can be applied to our WiMAX model.…”
Section: Discussion Of the Modeling Assumptionsmentioning
confidence: 99%
See 1 more Smart Citation
“…This constraint defines a maximum throughput the network interface can reach or a maximum number of resource units that can be used by the MS. This characteristic has been introduced in the case of (E)GPRS networks [9] and consists in reducing the departure rates of the first states of the Markov chain. The same idea can be applied to our WiMAX model.…”
Section: Discussion Of the Modeling Assumptionsmentioning
confidence: 99%
“…As a result, a blocking can occur when a new transfer demand arrives and the limit is reached. The blocking probability can be derived easily from the Markov chain [9]. 3.…”
Section: Discussion Of the Modeling Assumptionsmentioning
confidence: 99%
“…In order to relax assumption 1, we can express the number of data slots, N S (n), as a function of n, the number of active users. This dependency can easily be integrated into the model by replacing N S by N S (n) (and N n S by n i=1 N S (i)) in the expressions of the departure rates µ(n), of the steady states probabilities π(n) and of the average utilisation ratioŪ (relations (7,28) for the full-capacity policies or relations (35, 36, 38) for the throttling policy). 2.…”
Section: Discussion Of the Modeling Assumptionsmentioning
confidence: 99%
“…In the context of (E)GPRS networks, we have studied similar processor sharing systems [7,5], and provided extensions to finite length sessions, where each mobile generates an ON/OFF traffic during a session and does not generate any traffic during an inter-session. We have shown in [7] that a very simple transformation of the traffic characteristics that increases the OFF periods by a portion of the inter-session period, enables us to transform the resulting bidimensional model into a linear Erlang-like model, with very good accuracy. The accuracy of this transformation is related to the insensibility of the average performance parameters with regards to the traffic distributions, that comes from the processor sharing policy (see the next point).…”
Section: Discussion Of the Modeling Assumptionsmentioning
confidence: 99%
“…So, we have developed a model based on an original constructive description of GPRS/ EDGE with a discrete-time Markovian model at the granularity of the GPRS radio block (note that all previously mentioned works have developed continuous-time models). This first model is presented in [1]. The original contribution of our work in [1 J is the detailed description of the GPRS/EDGE system in a discrete-time model which has allowed the derivation of a formula that has the simplicity of Erlang's B and C laws for voice but which applies to GPRS j EDGE.…”
Section: Introductionmentioning
confidence: 99%