Dual methods for optimal allocation of total network resources

© 2016, North Atlantic University Union NAUN. All rights reserved.We consider a general problem of optimal allocation of a homogeneous resource (bandwidth) in a wireless communication network, which is decomposed into several zones (clusters). The network manager must satisfy different users require...

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Main Authors: Konnov I., Kashuba A., Laitinen E.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2016
Subjects:
Online Access:https://dspace.kpfu.ru/xmlui/handle/net/144847
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spelling ftkazanuniv:oai:dspace.kpfu.ru:net/144847 2023-05-15T17:33:48+02:00 Dual methods for optimal allocation of total network resources Konnov I. Kashuba A. Laitinen E. 2016 https://dspace.kpfu.ru/xmlui/handle/net/144847 unknown International Journal of Mathematical Models and Methods in Applied Sciences 10 185 http://dspace.kpfu.ru/xmlui/bitstream/net/144847/-1/SCOPUS19980140-2016-10-SID84964049147-a1.pdf 1998-0140 https://dspace.kpfu.ru/xmlui/handle/net/144847 SCOPUS19980140-2016-10-SID84964049147 Bandwidth Dual Lagrange method Linear programming Linear search Resource allocation Wireless networks Zonal network partition Zonal resource decomposition Article 2016 ftkazanuniv 2022-01-01T09:49:22Z © 2016, North Atlantic University Union NAUN. All rights reserved.We consider a general problem of optimal allocation of a homogeneous resource (bandwidth) in a wireless communication network, which is decomposed into several zones (clusters). The network manager must satisfy different users requirements. However, they may vary essentially from time to time. This makes the fixed allocation rules inefficient and requires certain adjustment procedure for each selected time period. Besides, sometimes users requirements may exceed the local network capacity in some zones, hence the network manager can buy additional volumes of this resource. This approach leads to a constrained convex optimization problem. We discuss several ways to find a solution of this problem, which exploit its special features. We suggest the dual Lagrangian method to be applied to selected constraints. This in particular enables us to replace the initial problem with one-dimensional dual one. We consider the case of the affine cost (utility) functions, when each calculation of the value of the dual function requires solution of a special linear programming problem. We can also utilize the zonal resource decomposition approach, which leads to a sequence of onedimensional optimization problems. The results of the numerical experiments confirm the preferences of the first method. Article in Journal/Newspaper North Atlantic Kazan Federal University Digital Repository Lagrange ENVELOPE(-62.597,-62.597,-64.529,-64.529)
institution Open Polar
collection Kazan Federal University Digital Repository
op_collection_id ftkazanuniv
language unknown
topic Bandwidth
Dual Lagrange method
Linear programming
Linear search
Resource allocation
Wireless networks
Zonal network partition
Zonal resource decomposition
spellingShingle Bandwidth
Dual Lagrange method
Linear programming
Linear search
Resource allocation
Wireless networks
Zonal network partition
Zonal resource decomposition
Konnov I.
Kashuba A.
Laitinen E.
Dual methods for optimal allocation of total network resources
topic_facet Bandwidth
Dual Lagrange method
Linear programming
Linear search
Resource allocation
Wireless networks
Zonal network partition
Zonal resource decomposition
description © 2016, North Atlantic University Union NAUN. All rights reserved.We consider a general problem of optimal allocation of a homogeneous resource (bandwidth) in a wireless communication network, which is decomposed into several zones (clusters). The network manager must satisfy different users requirements. However, they may vary essentially from time to time. This makes the fixed allocation rules inefficient and requires certain adjustment procedure for each selected time period. Besides, sometimes users requirements may exceed the local network capacity in some zones, hence the network manager can buy additional volumes of this resource. This approach leads to a constrained convex optimization problem. We discuss several ways to find a solution of this problem, which exploit its special features. We suggest the dual Lagrangian method to be applied to selected constraints. This in particular enables us to replace the initial problem with one-dimensional dual one. We consider the case of the affine cost (utility) functions, when each calculation of the value of the dual function requires solution of a special linear programming problem. We can also utilize the zonal resource decomposition approach, which leads to a sequence of onedimensional optimization problems. The results of the numerical experiments confirm the preferences of the first method.
format Article in Journal/Newspaper
author Konnov I.
Kashuba A.
Laitinen E.
author_facet Konnov I.
Kashuba A.
Laitinen E.
author_sort Konnov I.
title Dual methods for optimal allocation of total network resources
title_short Dual methods for optimal allocation of total network resources
title_full Dual methods for optimal allocation of total network resources
title_fullStr Dual methods for optimal allocation of total network resources
title_full_unstemmed Dual methods for optimal allocation of total network resources
title_sort dual methods for optimal allocation of total network resources
publishDate 2016
url https://dspace.kpfu.ru/xmlui/handle/net/144847
long_lat ENVELOPE(-62.597,-62.597,-64.529,-64.529)
geographic Lagrange
geographic_facet Lagrange
genre North Atlantic
genre_facet North Atlantic
op_source SCOPUS19980140-2016-10-SID84964049147
op_relation International Journal of Mathematical Models and Methods in Applied Sciences
10
185
http://dspace.kpfu.ru/xmlui/bitstream/net/144847/-1/SCOPUS19980140-2016-10-SID84964049147-a1.pdf
1998-0140
https://dspace.kpfu.ru/xmlui/handle/net/144847
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