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Efficient minimum-energy scheduling with machine-learning based predictions for multiuser MISO systems
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. (Optimisation)ORCID iD: 0000-0002-4741-0715
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2018 (English)In: Proc. International Conference on Communications: ICC 2018, IEEE Communications Society, 2018Conference paper, Published paper (Refereed)
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IEEE Communications Society, 2018.
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Communication Systems
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URN: urn:nbn:se:uu:diva-368024DOI: 10.1109/ICC.2018.8422520ISBN: 978-1-5386-3180-5 (electronic)OAI: oai:DiVA.org:uu-368024DiVA, id: diva2:1267503
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ICC 2018, May 20–24, Kansas City, MO
Available from: 2018-07-31 Created: 2018-12-03 Last updated: 2018-12-03Bibliographically approved

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You, LeiYuan, Di

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