Studying mobile internet technologies with agent based mean-field models
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 7984 LNCS, Page: 112-126
2013
- 7Citations
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
We analyze next generation cellular networks, offering connectivity to mobile users through LTE as well as WiFi. We develop a framework based on the Markovian agent formalism, which can model several aspects of the system, including the dynamics of user traffic and the allocation of the network radio resources. In particular, through a mean-field solution, we show the ability of our framework to capture the system behavior in flash-crowd scenarios, i.e., when a burst of traffic requests takes place in some parts of the network service area. © 2013 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84884912683&origin=inward; http://dx.doi.org/10.1007/978-3-642-39408-9_9; http://link.springer.com/10.1007/978-3-642-39408-9_9; http://link.springer.com/content/pdf/10.1007/978-3-642-39408-9_9; https://dx.doi.org/10.1007/978-3-642-39408-9_9; https://link.springer.com/chapter/10.1007/978-3-642-39408-9_9
Springer Science and Business Media LLC
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