KFU. Card publication. Dual Iterative Methods for Nonlinear Total Resource Allocation Problems in Telecommunication Networks

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FEDERAL UNIVERSITY

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DUAL ITERATIVE METHODS FOR NONLINEAR TOTAL RESOURCE ALLOCATION PROBLEMS IN TELECOMMUNICATION NETWORKS

Form of presentation

Articles in international journals and collections

Year of publication

2017

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Authors, employees of KFU

Kashuba Aleksey Yurevich, author

Konnov Igor Vasilevich, author

Other authors

Laitinen Erkki , author

Bibliographic description in the original language

Konnov I.V., Kashuba A.Yu., Laitinen E. Dual Iterative Methods for Nonlinear Total Resource Allocation Problems in Telecommunication Networks // International Journal of Mathematics and Computers in Simulation - Vol.11 - 2017. - P.85-92

Annotation

We consider problems of optimal resource allocation in zonal telecommunication networks with many users. In the simplest formulation the network manager aims to distribute some homogeneous resource (say bandwidth) among users within one region with possible utilization of external resources. We suggest to apply the bi-section method for the nonlinear dual problem with a family of independent nonlinear problems. Next, we consider a more general resource allocation problem where the region a wireless communication network is divided into zones (clusters) and develop an extension of the above dual decomposition method for this problem. We present results of computational experiments which confirm the efficiency of the new method in comparison of the previous ones.

Keywords

Resource allocation, wireless networks, multi-zonal networks, nonlinear functions, convex optimization, Lagrangian duality methods, decomposition.

The name of the journal

International Journal of Mathematics and Computers in Simulation

URL

http://www.naun.org/cms.action?id=15242

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=170316&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Kashuba Aleksey Yurevich	ru_RU
dc.contributor.author	Konnov Igor Vasilevich	ru_RU
dc.contributor.author	Laitinen Erkki	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Konnov I.V., Kashuba A.Yu., Laitinen E. Dual Iterative Methods for Nonlinear Total Resource Allocation Problems in Telecommunication Networks // International Journal of Mathematics and Computers in Simulation - Vol.11 - 2017. - P.85-92	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=170316&p_lang=2	ru_RU
dc.description.abstract	International Journal of Mathematics and Computers in Simulation	ru_RU
dc.description.abstract	We consider problems of optimal resource allocation in zonal telecommunication networks with many users. In the simplest formulation the network manager aims to distribute some homogeneous resource (say bandwidth) among users within one region with possible utilization of external resources. We suggest to apply the bi-section method for the nonlinear dual problem with a family of independent nonlinear problems. Next, we consider a more general resource allocation problem where the region a wireless communication network is divided into zones (clusters) and develop an extension of the above dual decomposition method for this problem. We present results of computational experiments which confirm the efficiency of the new method in comparison of the previous ones.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Resource allocation	ru_RU
dc.subject	wireless networks	ru_RU
dc.subject	multi-zonal networks	ru_RU
dc.subject	nonlinear functions	ru_RU
dc.subject	convex optimization	ru_RU
dc.subject	Lagrangian duality methods	ru_RU
dc.subject	decomposition.	ru_RU
dc.title	Dual Iterative Methods for Nonlinear Total Resource Allocation Problems in Telecommunication Networks	ru_RU
dc.type	Articles in international journals and collections	ru_RU