Optimal Energy Savings in Cellular Access Networks

By Marco Ajmone Marsan, L. Chiaraviglio, D. Ciullo, Michela Meo. 2009 IEEE International Conference on Communications Workshops, 2009

707 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bd69e1901553e5f5b775e9555efe6e2571d9725b

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In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Energy Efficiency Tradeoff Mechanism Towards Wireless Green Communication: A Survey (2016, methodology): “To improve the EE, both the energy-consumption-ratio (ECR), as the energy per delivered information bit and the energy-consumption-gain (ECG) of a cellular access network are used when the cell size is reduced for a given traffic density and coverage area [113], [136]–[138].”
Predicting User-Cell Association in Cellular Networks from Tracked Data (2009, background): “For example, it is shown in [5, 6] that turning off some of the BTSs when there are few users to serve, and associating these users to neighbouring cells, leads to significant energy savings while maintaining quality of service.”
Base Station Operation and User Association Mechanisms for Energy-Delay Tradeoffs in Green Cellular Networks (2011, background): “We present an optimal user association policy and further present its online distributed implementation with provable convergence.”
A survey of energy-efficient wireless communications (2013, methodology): “Optimal power-saving schemes using cell switch-off under a trapezoidal traffic pattern and a measured traffic pattern are analyzed in [38], where it is proved that a 25-30% energy saving is possible by simply switching off the active cells during the periods when their traffic is low.”
Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures (2011, background): “[55] [56] investigated energy-aware dynamic planning in the context of Universal Mobile Telecom-”
Green Cellular Networks: A Survey, Some Research Issues and Challenges (2011, methodology): “In the context of power efficiency, the performance of these self-organizing techniques were initially explored in [27], [34].”
A Survey of Green Mobile Networks: Opportunities and Challenges (2011, methodology): “The work in [32] utilizes a predefined sleep scheduling for BSs according to traffic variation patterns over time.”
Energy-Efficient Base-Stations Sleep-Mode Techniques in Green Cellular Networks: A Survey (2015, methodology): “9 derived from an Italian broadband service provider as provided in [93].”
Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues (2015, background): “This is relevant since BSs account for 60–80% of the whole power consumption in a wireless network [82].”