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Green Power Control in Cognitive Wireless Networks

Abstract : A decentralized network of cognitive and non-cognitive transmitters where each transmitter aims at maximizing his energy-efficiency is considered. The cognitive transmitters are assumed to be able to sense the transmit power of their non-cognitive counterparts and the former have a cost for sensing. The Stackelberg equilibrium analysis of this $2-$level hierarchical game is conducted, which allows us to better understand the effects of cognition on energy-efficiency. In particular, it is proven that the network energy-efficiency is maximized when only a given fraction of terminals are cognitive. Then, we study a sensing game where all the transmitters are assumed to take the decision whether to sense (namely to be cognitive) or not. This game is shown to be a weighted potential game and its set of equilibria is studied. Playing the sensing game in a first phase (e.g., of a time-slot) and then playing the power control game is shown to be more efficient individually for all transmitters than playing a game where a transmitter would jointly optimize whether to sense and his power level, showing the existence of a kind of Braess paradox. The derived results are illustrated by numerical results and provide some insights on how to deploy cognitive radios in heterogeneous networks in terms of sensing capabilities.
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Contributor : Maël Le Treust Connect in order to contact the contributor
Submitted on : Wednesday, May 8, 2013 - 3:38:31 PM
Last modification on : Sunday, June 26, 2022 - 11:58:47 AM
Long-term archiving on: : Tuesday, April 4, 2017 - 6:09:21 AM


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Maël Le Treust, Samson Lasaulce, Yezekael Hayel, He Gaoning. Green Power Control in Cognitive Wireless Networks. IEEE Transactions on Vehicular Technology, 2013, 62 (4), pp.1741 - 1754. ⟨10.1109/TVT.2012.2227858⟩. ⟨hal-00821285⟩



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