Titlebook: Energy Management in Wireless Cellular and Ad-hoc Networks; Muhammad Zeeshan Shakir,Muhammad Ali Imran,Athanas Book 2016 Springer Internat

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https://doi.org/10.1007/978-3-662-60950-7 the network performance. Numerical results are presented to demonstrate the performance gains of the hybrid system and to quantify the impact of the system specifications on the achieved energy efficiency. Moreover, several challenging issues due to the RF/VLC integration are addressed.

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Cognitive Radio Energy Saving and Optimization use by taking the physical layer sensing and upper layer throughput into account. Extensive analysis and simulation will be provided to obtain useful guidance on energy management in ad hoc cognitive radio networks.

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Mets552

,St?rungstheorie der Spektralzerlegung,re exists an optimal number of cooperating nodes that minimizes the energy consumption for a given distance. With network coding and with an appropriate organization of cooperating nodes into clusters, the energy efficiency is maximized, leading to energy savings of an order of magnitude with respect to the direct non-cooperative transmission.

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13 Speeksel en smaakgewaarwordingpre-requisite to trigger fully automated self-healing recovery actions following cell outages or network failures not only to ensure reliable recovery of services but also to significantly minimize wastage of energy. To cope with the idiosyncrasies of both the data and control planes, our proposed f

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Sialadenose bei Bulimia nervosa,e will be nearly 8.6 billion mobile devices worldwide by 2017. This tremendous increase in the number of cellular users demands an expansion in the wireless Base Stations (BSs) for improved coverage and capacity. However, this hike in the deployment of base stations will lead to immense energy consu

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https://doi.org/10.1007/978-3-662-29747-6benchmark for comparison against the energy-efficient approaches to be developed in subsequent chapters. In order to position our work, we review briefly the key components, and decision metrics that can influence the system-level performance from an energy-efficient perspective.

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