Practical evaluation of on-demand smallcell ON/OFF based on traffic model for 5G cellular networks

5G communication networks will bring enhanced mobile broadband services to users and vertical markets supporting very wide range requirements from context-dependent applications. To support such applications in 5G, not only the conventional area traffic capacity but network energy efficiency is also a critical factor since energy consumption of information processing is also becoming an economic issue for operators. Dealing with this problem, our project considers a C-RAN based cloud cooperated HetNet architecture which enables global resource optimization among smallcells to maximize objective functions of interest e.g. energy efficiency. On the other hand, a dynamic traffic model based on that the network can dynamically adapt to the variation in a cost-effective way is also crucial for the design of 5G. This paper develops such traffic model based on realistic measurement data in metropolitan Tokyo.