TZI Literaturverzeichnis

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Journal Article: BibTeX citation key:  Wubben2014a
D. Wübben, P. Rost, J. Bartelt, M. Lalam, V. Savin, M. Gorgoglione, A. Dekorsy and G. Fettweis, "Benefits and Impact of Cloud Computing on 5G Signal Processing", Special Issue \"The 5G Revolution\" of the IEEE Signal Processing Magazine, vol. 31, iss. 6, pp. 35–44, Nov. 2014.
Added by: Matthias Woltering (ANT) 2014-12-19 16:37:46
Categories: Abschlussarbeit, AK, ANT
Creators: Bartelt, Dekorsy, Fettweis, Gorgoglione, Lalam, Rost, Savin, Wübben
Collection: Special Issue "The 5G Revolution" of the IEEE Signal Processing Magazine

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Cloud computing draws significant attention in the IT community as it provides ubiquitous on-demand access to a shared pool of configurable computing resources with minimum management effort. It gains also more impact on the CT community and is currently discussed as an enabler for flexible, cost-efficient and more powerful mobile network implementations. Although centralized baseband pools are already investigated for the Radio Access Network (RAN) to allow for efficient resource usage and advanced multi-cell algorithms, these technologies still require dedicated hardware and do not offer the same characteristics as cloud-computing platforms, i. e., on-demand provisioning, virtualization, resource pooling, elasticity, service metering, and multi-tenancy. However, these properties of cloud-computing are key enablers for future mobile communication systems characterized by an ultra dense deployment of radio access points leading to severe multi-cell interference in combination with a significant increase of the number of access nodes and huge fluctuations of the rate requirements over time. In this article, we will explore the benefits that cloud-computing offers for 5G mobile networks and investigate the implications on the signal processing algorithms.
Added by: Matthias Woltering (ANT)

Further information may be found at: ... ilter%3DAND%28p_IS_Number%3A6923515%29

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