Igor Konnov, Aleksey Kashuba, Erkki Laitinen, Application of Market Equilibrium Models to Optimal Resource Allocation in Telecommunication Networks, WSEAS Transactions on Communications, ISSN / E-ISSN: 1109-2742 / 2224-2864, Volume 15, 2016, Art. #34, pp. 309-316
Application of market equilibrium models to optimal resource allocation in telecommunication networks
|Author:||Konnov, Igor1; Kashuba, Aleksey2; Laitinen, Erkki3|
1Kazan Federal University, Department of System Analysis and Information Technologies, Kazan 420008, RUSSIA
2LLC ”AST Povolzhye”, Institute of Mechanical Engineering, Kazan, 420029, RUSSIA
3University of Oulu, Department of Mathematical Sciences, 90014 Oulu, FINLAND
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2016120230183
World scientific and engineering academy and society,
|Publish Date:|| 2016-12-14
We consider several problems of optimal resource allocation in telecommunication networks and show that they can be formulated as market equilibrium models. This approach enables us to create simple and efficient solution methods. Next, we consider such a resource allocation problem for a provider of a wireless communica- tion network divided into zones (clusters). The network manager aims to distribute some homogeneous resource (bandwidth) among users of several zones in order to maximize the total network profit, which takes into account payments from users and implementation costs. As a result, we obtain a convex optimization problem involving capacity and balance constraints. By using the dual Lagrangian method with respect to the capacity constraint, we reduce the initial problem to a suitable one-dimensional problem, so that calculation of its cost function value leads to independent solution of zonal problems, treated as two-side market equilibrium models with one trader. We show that solution of each zonal problem can be found exactly by a simple arrangement type algorithm even in the case where the trader price is not fixed. Besides, we suggest ways to adjust the basic problem to the case of moving nodes. Some results of computational experiments confirm the applicability of the new method.
WSEAS Transactions on Communications
|Pages:||309 - 316|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
The research was supported by the RFBR grant, project No. 16-01-00109a and by grant No. 297689 from Academy of Finland.
|Academy of Finland Grant Number:||
297689 (Academy of Finland Funding decision)
Published in this repository with the kind permission of the publisher.