author = {D. W\"{u}bben and P. Rost and J. Bartelt and M. Lalam and V. Savin and M. Gorgoglione and A. Dekorsy and G. Fettweis},
  year = {2014},
  month = {Nov},
  title = {Benefits and Impact of Cloud Computing on 5G Signal Processing},
  volume = {31},
  number = {6},
  pages = {35-44},
  URL = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6923535&sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6923515%29},
  abstract={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.},
  journal={Special Issue \"The 5G Revolution\" of the IEEE Signal Processing Magazine}