Resource competition at the NGN core network: An ecologically inspired analysis

Munasinghe, Kumudu S.; Javadi, Farshad; Jamalipour, Abbas

doi:10.1109/cts.2011.5898988

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…This initially encouraged us to revisit this problem from the perspective of a heterogeneous NGN. For the first time, we carried out an investigation on resource competition that takes place in an NGN via an ecologically inspired approach (Munasinghe and Jamalipour, 2011). The conclusion of this study was that the session class with the lowest resource requirements competitively dominates its presence over other classes, despite the presence of admission control mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Ecologically Inspired Resource Distribution Techniques for Sustainable Communication Networks

Munasinghe

Jamalipour

2015

Bio-Inspired Computation in Telecommunications

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Section: Introductionmentioning

confidence: 99%

Ecologically Inspired Resource Distribution Techniques for Sustainable Communication Networks

Munasinghe

Jamalipour

2015

Bio-Inspired Computation in Telecommunications

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“…Thus, for the first time, we have previously proposed an ecologically inspired approach for investigating resource competition [4]. This proposal argued that the NGN can be considered as an ecosystem of heterogeneous networks over which multiservice application traffic flow.…”

Section: Introductionmentioning

confidence: 99%

Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN

Munasinghe

Jamalipour

2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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The core of the Next Generation Network (NGN) is a converging point of various classes of session flows. As a result, despite the presence of admission control techniques, a competition for resources becomes inevitable. In such an environment, certain flows may be disadvantaged due to others consuming or withholding access to a resource that is limited in availability. Therefore, it is extremely important to explore a solution for equitable resource distribution, which does not disadvantage either class of session flow. In light of this, this paper develops an ecologically inspired graphical theory for equitable resource distribution in a multi-resource, multi-class environment. Optimal resource supply levels required for a stable coexistence could be accurately predicted by the proposed graphical theory. Analytical proof and simulation results are provided for supporting the above argument.

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An Ecological Model for User Population Dynamics in Cognitive Radio Networks

Walingo

Waza²

2019

2019 IEEE Wireless Communications and Networking Conference (WCNC)

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Resource competition at the NGN core network: An ecologically inspired analysis

Cited by 4 publications

References 13 publications

Ecologically Inspired Resource Distribution Techniques for Sustainable Communication Networks

Ecologically Inspired Resource Distribution Techniques for Sustainable Communication Networks

Ecologically inspired equitable resource distribution between heterogeneous service classes in the NGN

An Ecological Model for User Population Dynamics in Cognitive Radio Networks

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