Cell capacity engineering methods in multilayered cellular networks with application to GSM 900/1800 dual band operation

Sanders, B.; Smeets, Ruben; Kunnen, J.

doi:10.1109/vetecf.1999.797175

Cited by 1 publication

(1 citation statement)

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“…A classical application of this model (the Poisson population [14]) is the analysis of telephone trunks and of GSM radio cellular traffic generated in cells [15]. In a Poisson arrival process the number of join events in a time unit has the Poisson distribution [14] P{k users joining in a ts} = α k = (n join )…”

Section: A Novel Approach For Statistical Modelling Of Join Leave Anmentioning

confidence: 99%

Analytical modelling of users' behaviour and performance metrics in key distribution schemes

Tornatore

Giacomazzi

2009

Trans Emerging Tel Tech

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SUMMARYAccess control for group communications must ensure that only legitimate users can access the authorised data streams. This could be done by distributing an encrypting key to each member of the group to be secured. To achieve a high level of security, the group key should be changed every time a user joins or leaves the group, so that a former group member has no access to current communications and a new member has no access to previous communications. Since group memberships could be very dynamic, the group key should be changed frequently. So far, different schemes for efficient key distribution have been proposed to limit the key-distribution overhead. In previous works, the performance comparison among these different schemes have been based on simulative experiments, where users join and leave secure groups according to a basic statistical model of users' behaviour. In this paper, we propose a new statistical model to account for the behaviour of users and compare it to the modelling approach so far adopted in the literature. Our new model is able to to lead the system to a steady state (allowing a superior statistical confidence of the results), as opposed to current models in which the system is permanently in a transient and diverging state. We also provide analytical formulations of the main performance metrics usually adopted to evaluate key distribution systems, such as rekey overheads and storage overheads. Then, we validate our simulative outcomes with results obtained by analytical formulations.

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Section: A Novel Approach For Statistical Modelling Of Join Leave Anmentioning

confidence: 99%

Analytical modelling of users' behaviour and performance metrics in key distribution schemes

Tornatore

Giacomazzi

2009

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

Cell capacity engineering methods in multilayered cellular networks with application to GSM 900/1800 dual band operation

Cited by 1 publication

References 4 publications

Analytical modelling of users' behaviour and performance metrics in key distribution schemes

Analytical modelling of users' behaviour and performance metrics in key distribution schemes

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