Dynamic Base Station Switching-On/Off Strategies for Green Cellular Networks

By Eunsung Oh, Kyunghwan Son, Bhaskar Krishnamachari. IEEE Transactions on Wireless Communications, 2013

450 citations recorded by the source corpus.

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Ultra-Dense HetNets Meet Big Data: Green Frameworks, Techniques, and Approaches (2017, background): “The notion of network-impact was introduced in [13] to investigate the energy saving problem through dynamic BS switching.”
Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing (2017, methodology): “x λ(x,t)/θ(x,t), which results in a total wireless access and transmission delay of cwi(t) = P x λ(x,t)/[θ(x,t)(1−ρ(t))] by following the literature and modeling the base station as a queueing system [14]. Next we model the workload processing delay incurred at the edge servers. For the local proces”
A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, background): “In addition, the use of base station (BS) switch-on/switch-off algorithms and antenna muting techniques to adapt to the trafﬁc conditions, can further reduce energy consumptions [14], [15]. c) Energy harvesting and transfer.”
A survey on 5G: The next generation of mobile communication (2015, background): “For example: (i) during the day, BSs in business areas are over-subscribed, while BSs in residential areas are almost idle, and vice versa [115], and (ii) BSs in residential areas are overloaded in weekends or holidays while BSs in business areas are almost idle [92].”