Optimal Control of Wake Up Mechanisms of Femtocells in Heterogeneous Networks
| Autor: | Louai Saker, Richard Combes, Tijani Chahed, Salah Eddine Elayoubi |
|---|---|
| Přispěvatelé: | Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Orange Labs [Issy les Moulineaux], France Télécom, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Méthodes et modèles pour les réseaux (METHODES-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP) |
| Rok vydání: | 2012 |
| Předmět: |
Computer Networks and Communications
Computer science Markov process Throughput 02 engineering and technology Mobile networks [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] symbols.namesake Base station 0202 electrical engineering electronic engineering information engineering Femtocell Green communications Electrical and Electronic Engineering business.industry Quality of service 020206 networking & telecommunications Energy consumption Optimal control Sleep/wakeup modes symbols 020201 artificial intelligence & image processing Markov decision process business Heterogeneous network Computer network |
| Zdroj: | IEEE Journal on Selected Areas in Communications IEEE Journal on Selected Areas in Communications, Institute of Electrical and Electronics Engineers, 2012, 30 (3), pp.664-672. ⟨10.1109/JSAC.2012.120415⟩ |
| ISSN: | 0733-8716 |
| Popis: | International audience; We study, in this work, optimal sleep/wake up schemes for the base stations of network-operated femto cells deployed within macro cells for the purpose of offloading part of its traffic. Our aim is to minimize the energy consumption of the overall heterogeneous network while preserving the Quality of Service (QoS) experienced by users. We model such a system at the flow level, considering a dynamic user configuration, and derive, using Markov Decision Processes (MDPs), optimal sleep/wake up schemes based on the information on traffic load and user localization in the cell, in the cases where this information is complete, partial or delayed. Our results quantify the energy consumption and QoS perceived by the users in each of these cases and identify the tradeoffs between those two quantities. We also illustrate numerically the optimal policies in different traffic scenarios |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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