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Proceedings ArticleDOI

Sharing the Network End-to-End Energy Consumption among Service Categories

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TLDR
This paper uses the model based on the cooperative game concept Shapley value introduced in a previous work and applies it first to traffic, then to so-called useful outputs, and analyzes the end-to-end energy consumption assigned to the service categories.
Abstract
A network is a common resource typically shared by several services, and so, it is important to determine the share of each service in the total energy consumed by the network. The network energy consumption is composed of a variable component which is consumed to serve traffic, and a fixed component consumed irrespective of traffic. The share of a service in the variable energy consumption equals its traffic proportion as this energy component is load-dependent. In this paper, we focus on the fixed energy consumption and share the responsibility of the services transported by a end-to-end network in its fixed energy consumption. To do so, we use our model based on the cooperative game concept Shapley value introduced in a previous work [1] and apply it first to traffic, then to so-called useful outputs. According to ETSI, the useful output of an equipment is defined to be its maximum capacity and is expressed as the number of Erlangs, packets/s, subscribers, or simultaneously attached users. We consider seven network blocks composing the end-to-end path, namely, the radio access, the fixed access, the aggregation, the mobile core, the registers, the IP core and the service platforms. We consider five service categories: Streaming, Web, Download, other data services and Voice. We apply our model on a real data set extracted from an operational network in Europe, and analyze the end-to-end energy consumption assigned to the service categories.

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References
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Book

博弈论 : 矛盾冲突分析 = Game theory : analysis of conflict

TL;DR: This chapter discusses Decision-Theoretic Foundations, Game Theory, Rationality, and Intelligence, and the Decision-Analytic Approach to Games, which aims to clarify the role of rationality in decision-making.
Book

Game Theory : Analysis of Conflict

TL;DR: In this article, the authors propose a game theoretic approach to games based on the Bayesian model and demonstrate the existence of Nash Equilibria and the Focal Point Effect.
Journal ArticleDOI

Contributions to the Theory of Games.

TL;DR: The description for this book, Contributions to the Theory of Games (AM-40), Volume IV, will be forthcoming.
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Coalitional game theory for communication networks

TL;DR: In this article, the authors provided a comprehensive overview of coalitional game theory and its usage in wireless and communication networks, and provided an in-depth analysis of the methodologies and approaches for using these games in both game theoretic and communication applications.
Journal ArticleDOI

The Price of Stability for Network Design with Fair Cost Allocation

TL;DR: It is established that the fair cost allocation protocol is in fact a useful mechanism for inducing strategic behavior to form near-optimal equilibria, and its results are extended to cases in which users are seeking to balance network design costs with latencies in the constructed network.
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