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Published in: Mobile Networks and Applications 2/2016

01-04-2016

Road to Next Generation Mobile Networks: An Evolutionary Dynamics Approach

Authors: Ioannis Loumiotis, Evgenia Adamopoulou, Konstantinos Demestichas, Chara Remoundou, Pavlos Kosmides, Vasileios Asthenopoulos, Michael Theologou

Published in: Mobile Networks and Applications | Issue 2/2016

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Abstract

One of the major challenges that mobile operators (MOs) are faced with nowadays is the transition to 4th Generation (4G) mobile communication technologies. The main reason for this lies on the reluctance of MOs to invest in a new technology without being sure about its success. The current paper investigates the decision-making procedures of a MO that wishes to migrate from its current technology type to 4G. Traditionally, the decision of deploying a new technology has been based on the analysis of similar implementations in other countries. However, such approaches can be inefficient and time consuming, as there are discrepancies concerning the technological progress among different countries. To this end, the authors employ evolutionary game theory to model the interactions of the MO’s decisions and the subscribers’ needs, and propose a practical and efficient qualitative model that identifies the circumstances under which the transition towards 4G networking can be facilitated. Specifically, the mathematical foundation of the decision making process is provided and the key role of the charging price and the quality of experience by the subscribers for using 4G connectivity is proven. With the process of 4G deployment still ongoing, this paper aims to present an analysis that can be used supplementary to the decision process of a MO that aims to evolve his network.

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Appendix
Available only for authorised users
Footnotes
1
It is noted that the 4G connections in 2013 correspond to the 30 % of the total mobile data traffic.
 
2
ESS is a strategy that, if adopted by a population of agents, then no other strategy can invade [16].
 
3
It is assumed that the payoff of the subscribers is characterized by the satisfaction of their needs which in the case of LB requirements is the same for both technologies.
 
4
The frequency of the population of the MO’s agents, or equivalently the proportion of agents that use strategy y j , can be interpreted as the proportion of the MO’s network that provides technology j ∈ Δ M O .
 
5
It is noted that the qualitative analysis remains unchanged with respect to the parameters’ values, provided that the problem formulation described in Section 3 holds.
 
6
It is noted that in region I, the 4G technology is an asymptotically stable equilibrium
 
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Metadata
Title
Road to Next Generation Mobile Networks: An Evolutionary Dynamics Approach
Authors
Ioannis Loumiotis
Evgenia Adamopoulou
Konstantinos Demestichas
Chara Remoundou
Pavlos Kosmides
Vasileios Asthenopoulos
Michael Theologou
Publication date
01-04-2016
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 2/2016
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-015-0661-9

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