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https://doi.org/10.1109/infcom...
Article . 2007 . Peer-reviewed
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Border Games in Cellular Networks

Authors: Márk Félegyházi; Mario Cagalj; Diego Dufour; Jean-Pierre Hubaux;

Border Games in Cellular Networks

Abstract

In each country today, cellular networks operate on carefully separated frequency bands. This careful separation is imposed by the regulators of the given country to avoid the interference between these networks. But, the separation is only valid for the network operators within the borders of their country, hence the operators are left on their own to resolve cross-border interference of their cellular networks. In this paper, we focus on the scenario of two operators, who want to fine-tune the emitting power of the pilot signals (i.e., beacon signals) of their base stations. This operation is crucial, because the pilot signal power determines the number of users they can attract and hence the revenue they can obtain. We show that operators should be strategic in their borders, meaning to fine-tune the emitting power of their pilot signals. In addition, we study Nash equilibrium conditions in an empirical model and show the efficiency of the Nash equilibria for different user densities. Finally, we modify our game model and relate the modified pilot power control game to a well-known Prisoner's Dilemma.

Country
Croatia
Keywords

Capacity planning; Cellular & broadband wireless nets; Power control

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average