NDLI: Dynamic cell activation and user association for green 5G heterogeneous cellular networks

Content Provider	IEEE Xplore Digital Library
Author	Gia Khanh Tran Shimodaira, H. Rezagah, R.E. Sakaguchi, K. Araki, K.
Copyright Year	2015
Description	Author affiliation: Grad. Sch. of Sci. & Eng., Dept. of Electr. & Electron. Eng., Tokyo Inst. of Technol., Tokyo, Japan (Gia Khanh Tran; Shimodaira, H.; Rezagah, R.E.; Sakaguchi, K.; Araki, K.)
Abstract	The mobile traffic explosion predicted to be increased by 1000 times in the next 10 years has become a remarkable issue due to the proliferation of smart devices such as smart phones or tablets. Energy consumption of information processing is also becoming an economic issue for operators. It is a critical task to design the next generation cellular networks (5G) to be both spectral/energy efficient. This paper considers a future C-RAN based cloud cooperated HetNet which enables global resource optimization among smallcells. The architecture allows optimal user association for data offloading as well as dynamic ON/OFF of smallcell BSs in adaptation to daily data traffic. A joint optimization on both user association and dynamic ON/OFF scheme of BSs to maximizing the system rate over consumed energy of the network investigated in the paper reveals that without sacrificing the system's power resource, our proposed approach can effectively deactivate unnecessary BSs and attain the target 1000× system rate gain in the case of mm-wave smallcells.
Starting Page	2364
Ending Page	2368
File Size	262363
Page Count	5
File Format	PDF
e-ISBN	9781467367820
DOI	10.1109/PIMRC.2015.7343694
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Computer architecture Power demand Base stations Resource management 5G mobile communication Heuristic algorithms
Content Type	Text
Resource Type	Article

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