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We target the maximization of the operator profitability in a LTE cellular network with e-NodeBs (eNBs) exploiting sleep mode power states. The profitability is composed of different terms, namely, the electricity bill due to the eNBs energy consumption, the maintenance costs due to the application of power states to the eNBs, and the revenues from providing a given throughput to users. After showing...
We target a heterogeneous LTE cellular network comprising macro eNBs and hot spot micro eNBs and define a comprehensive measure of profitability referred to as sustainability. This metric combines all relevant factors for the economic balance of the cellular access, namely: i) the user profits, which depend on the offered level of Quality of Service; ii) the energy costs of the cellular network; and...
We propose a dynamic and cooperative approach to support the desired Quality of Experience (QoE) of the mobile users in a heterogeneous cellular network. Specifically, we focus on a scenario in which a mobile video streaming service is provided to users. We then develop a mobile streaming traffic micro-to-macro offloading scheme based on a cross layer approach, in which we exploit the knowledge of...
In this work, we show that there are two effects impacting cellular networks owned by an operator as a consequence of the application of the green networking via Sleep Modes (SMs) state to Base Stations (BSs). On one side, it is possible to save money from the electricity bill by exploiting SMs. On the other hand, however, the SM state triggers a variation in the failure rate of the BS, and therefore...
We consider the main costs and gains for the management of a Long Term Evolution (LTE) cellular network exploiting e-NodeB (eNB) Sleep Mode (SM). More in depth, we develop an algorithm, called EURA, that is able to target a sustainability metric. The sustainability of the system takes into account the costs of energy consumed by active eNBs, the costs for repairing an eNB when it fails (as a consequence...
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