WNV and the features of the XaaS platform. For example, in a certain area, the InSPs may need to consider how to optimally deploy their infrastructures offer reliable services to the NSPs. When the InSPs of certain type of XaaS are sufficient for this area, it is not wise for them to deploy extra experiment or for other InSPs to entering this business. Thus, the corresponding analysis on the network management and deployment calls for proposals from algorithmic and implementation.

Data/Kowledge Acquisition and Abstraction
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Due to the development of data mining and processing techniques, mobile big data is no longer viewed as a pure burden for the wireless networks. Rather, the big data science can help the mobile network operators to efficiently and effectively manage the future networks with a complex architecture and provide services to massive devices with heterogeneous demands. Meanwhile, both the wireless and fiber-optic link have their own throughput limits, which is considered as a inevitable bottleneck. It can be expected that the adoption of distributed data compression and exploration into 5G may dramatically alleviate the data transmission burden of backhaul/fronthaul link and facilitate big data analysis in the ultra-dense networks. Thus, how to properly acquire, 