Editing Network planning and design (section)

==Data-driven network design==
More recently, with the increasing role of Artificial Intelligence technologies in engineering, the idea of using data to create data-driven models of existing networks has been proposed.<ref>C. Fortuna, E. De Poorter, P. Škraba, I. Moerman, [https://link.springer.com/article/10.1007/s11277-016-3242-8 Data-Driven Wireless Network Design: A Multi-level Modeling Approach], ''Wireless Personal Communications'', May 2016, Volume 88, Issue 1, pp 63–77.</ref> By analyzing large network data, also the less desired behaviors that may occur in real-world networks can be understood, worked around, and avoided in future designs. 

Both the design and management of networked systems can be improved by data-driven paradigm.<ref>J. Jiang, V. Sekar, I. Stoica, H. Zhang, [https://link.springer.com/chapter/10.1007/978-3-319-67235-9_9 Unleashing the Potential of Data-Driven Networking], Springer LNCS vol LNCS, volume 10340, September 2017.</ref> Data-driven models can also be used at various phases of service and network management life cycle such as service instantiation, service provision, optimization, monitoring, and diagnostic.<ref>[https://tools.ietf.org/id/draft-wu-model-driven-management-virtualization-00.html An Architecture for Data Model-Driven Network Management: The Network Virtualization Case], IETF draft.</ref>