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• W2964295136 abstract "Mobile operators around the world have been caught off guard by the popularity of mobile data services and with the massive deployment of macro base stations, and mobile data traffic continues to increase at an exponential speed. This increases overall energy consumption, which translates into a much higher rejection of carbon dioxide into the atmosphere. By the integration of small cells, i.e., femtocells, in the new generation networks, important questions are raised about the energy consumption in heterogeneous networks. In this paper, a new proposed Dynamic transmit power (DTP) based scheme is proposed to decrease the network power consumption. A stochastic geometry model is used to describe the different femtocells position in the network with realistic constraints and to evaluate the performance of our solution. Performance has been studied in terms of energy consumption and energy gains. Simulation results are used to confirm the analytical results and show that the DTP based scheme can reach an energy gain up to 35% compared to the constant transmit power (CTP) based scheme." @default.
• W2964295136 created "2019-07-30" @default.
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• W2964295136 date "2019-06-01" @default.
• W2964295136 modified "2023-09-25" @default.
• W2964295136 title "Enhancing Energy Efficiency by Neighbors-Aware Algorithm in Femtocell Networks" @default.
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• W2964295136 doi "https://doi.org/10.1109/iwcmc.2019.8766701" @default.
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