Energy OPtimal ALgorithms for mobile Internet: Stochastic modeling, performance analysis and optimal control

Georgios S. Paschos, Petteri Mannersalo, Slawomir Stanczak, Eitan Altman, Leandros Tassiulas

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

EnergyOPAL research focused on algorithms which can enable an energy friendly future mobile Internet. Turning off the electronics of a wireless device is understood to be crucial for saving energy over idle periods. On the other hand, the responsiveness of the wireless network should not be compromised. Each node should try to adapt its power consumption profile to the traffic running through it. If each node is seen as an entity, cooperation among nodes is needed in order to achieve an efficient performance in terms of energy. Scheduling and power control plays a big role in this context. We identify important tradeoffs and provide optimal control as a proposed solution to this problem.
Original languageEnglish
Title of host publication2011 7th EURO-NGI Conference on Next Generation Internet Networks
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages2
ISBN (Electronic)978-1-4577-0917-3, 978-1-4577-0916-6
ISBN (Print)978-1-4577-0915-9
DOIs
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication

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    Paschos, G. S., Mannersalo, P., Stanczak, S., Altman, E., & Tassiulas, L. (2011). Energy OPtimal ALgorithms for mobile Internet: Stochastic modeling, performance analysis and optimal control. In 2011 7th EURO-NGI Conference on Next Generation Internet Networks IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/NGI.2011.5985873