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Theodora A. Stamatiadi

dblp:143/9713 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Network optimization and economics · 56% Cellular and mobile networks · 28% Optical networks · 17%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network optimization and economics
dynamic resource allocation
0.212014
Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach · IEEE Trans. Commun. 2014
Network optimization and economics › game theory
evolutionary game theory
0.212014
Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach · IEEE Trans. Commun. 2014
Cellular and mobile networks
radio access networks
0.212014
Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach · IEEE Trans. Commun. 2014
Optical networks › optical access network
fiber-wireless integration
0.112014
Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach · IEEE Trans. Commun. 2014
Optical networks › optical access network
passive optical network
0.112014
Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach · IEEE Trans. Commun. 2014

Methods — techniques the papers use, named apart from their topics

replicator dynamics · 0.2evolutionary game theory · 0.2
YearPublicationVenuePosition
2014 Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach
abstract
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.
Ioannis V. Loumiotis, Evgenia F. Adamopoulou, Konstantinos P. Demestichas, Theodora A. Stamatiadi, Michael E. Theologou
IEEE Trans. Commun.4