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Benefits and impact of cloud computing on 5G signal processing: Flexible centralization through cloud-RAN

 
: Wubben, D.; Rost, P.; Bartelt, J.; Lalam, M.; Savin, V.; Gorgoglione, M.; Dekorsy, A.; Fettweis, G.

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IEEE Signal Processing Magazine 31 (2014), Nr.6, S.35-44
ISSN: 1053-5888
ISSN: 0740-7467
European Commission EC
FP7-ICT; 317941; iJOIN
Englisch
Zeitschriftenaufsatz
Fraunhofer IWS ()

Abstract
Cloud computing draws significant attention in the information technology (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 communication technology (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 multicell 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 multitenancy. However, these properties of cloud computing are key enablers for future mobile communication systems characterized by an ultradense deployment of radio access points (RAPs) leading to severe multicell 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 fifth-generation (5G) mobile networks and investigate the implications on the signal processing algorithms.

: http://publica.fraunhofer.de/dokumente/N-324347.html