Wake on wireless: an event driven energy saving strategy for battery operated devices
Proceedings of the 8th annual international conference on Mobile computing and networking
Performance comparison of power-saving strategies for mobile web access
Performance Evaluation
Insensitive Traffic Models for Communication Networks
Discrete Event Dynamic Systems
Energy efficient management of two cellular access networks
ACM SIGMETRICS Performance Evaluation Review
Breathe to stay cool: adjusting cell sizes to reduce energy consumption
Proceedings of the first ACM SIGCOMM workshop on Green networking
Cell zooming for cost-efficient green cellular networks
IEEE Communications Magazine
Greening wireless communications: Status and future directions
Computer Communications
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Sleep modes are emerging as a promising technique for energy-efficient networking: by adequately putting to sleep and waking up network resources according to traffic demands, a proportionality between energy consumption and network utilization can be approached, with important reductions in energy consumption. Previous studies have investigated and evaluated sleep modes for wireless access networks, computing variable percentages of energy savings. In this paper we characterize the maximum energy saving that can be achieved in a cellular wireless access network under a given performance constraint. In particular, our approach allows the derivation of realistic estimates of the energy-optimal density of base stations corresponding to a given user density, under a fixed performance constraint. Our results allow different proposals to be measured against the maximum theoretically achievable improvement. We show, through numerical evaluation and simulation, the possible energy savings in today's networks, and we further demonstrate that even with the development of highly energy-efficient hardware, a holistic approach incorporating system level techniques is essential to achieving maximum energy efficiency.