Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach

The recently deployed 4G access technology promises to satisfy the increasing demand of bandwidth consuming applications by providing high network capacity, low latency and seamless mobility. Towards this direction, concept solutions concerning the integration of wireless and optical networks have b...

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Bibliographic Details
Published in:	IEEE transactions on communications Vol. 62; no. 2; pp. 691 - 698
Main Authors:	Loumiotis, Ioannis V., Adamopoulou, Evgenia F., Demestichas, Konstantinos P., Stamatiadi, Theodora A., Theologou, Michael E.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01-02-2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Asymptotic properties Backhaul resource allocation converged network delay Dynamic scheduling Dynamics evolutionary game theory Exact sciences and technology Game theory Games Networks Optical communication Optical fiber communications Optical telecommunications Quality of service replicator dynamics Resource allocation Resource management Sociology Stations Statistics Telecommunications Telecommunications and information theory Telecommunications industry Time delay Wireless communications Base station Wireless telecommunication Resource allocation Evolutionary computation Passive optical network Backhaul resource allocation converged network Game theory Optical fiber network Asymptotic stability evolutionary game theory Dynamic allocation delay Subscriber Backhaul network replicator dynamics Wireless network Optical fiber communication Delay time Resource management Dynamic model
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Summary:	The recently deployed 4G access technology promises to satisfy the increasing demand of bandwidth consuming applications by providing high network capacity, low latency and seamless mobility. Towards this direction, concept solutions concerning the integration of wireless and optical networks have been proposed. However, the majority of these approaches assume the conventional fixed commitment of resources to the base stations, an inefficient and costly process, especially in case the Passive Optical Network (PON) belongs to a different operator. As a result, new, more dynamic backhaul resource allocation approaches are required. In this paper, the authors study the problem of committing resources of the backhaul network to a base station by employing evolutionary game theory in order to model the interactions between the subscribers and the base station. The asymptotic stability of the proposed scheme is proven under the replicator dynamics model. Finally, the impact of time delay in the proposed scheme is also investigated.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0090-6778 1558-0857
DOI:	10.1109/TCOMM.2013.122213.13-0405