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

: Tran, G.K.; Shimodaira, H.; Rezagah, R.E.; Sakaguchi, K.; Araki, K.


IEEE Communications Society:
IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2016 : 3-6 April 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-8666-1 (electronic)
ISBN: 978-1-4673-8667-8 (print)
Wireless Communications and Networking Conference (WCNC) <2016, Dohar/Qatar>
Fraunhofer HHI ()

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.