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- W2891756768 abstract "Small cell networks have emerged as one of the promising solutions to improve the wireless coverage and capacity of the marcocell base stations. However, the deployment of small cells (e.g. femtocells) introduced additional types of interference as the cross-tier (interference between macrocell and femtocell) and co-tier interference (interference between neighboring femtocells). In addition, self-interference has been introduced as a new type of interference when deploying the full-duplex communication technology between femtocells and mobile stations. In this regard, power allocation techniques appear to be an effective solution to enhance the system capacity and to mitigate the effects of cross-tier interference, co-tier interference, self-interference and improving the system performance when using game theory. In this paper, we propose a game theoretic approach for allocating power for mobile stations in a femto-relay which implements the full-duplex communication technology. Our proposed algorithm shows that the proposed game achieves a Nash equilibrium and reaches the minimum optimal power (e.g. the best response of each mobile station) for each mobile station by a number of iterations that is near to the number of mobile stations in the femto-cell." @default.
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- W2891756768 date "2018-08-01" @default.
- W2891756768 modified "2023-09-27" @default.
- W2891756768 title "Power Allocation for Mobile Stations in a Femto-Relay Network Using Game-Theory" @default.
- W2891756768 doi "https://doi.org/10.1109/comapp.2018.8460351" @default.
- W2891756768 hasPublicationYear "2018" @default.
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