Cell Activation Algorithm with Reinforcement Learning in Mobile Ultra Dense Network 


Vol. 45,  No. 2, pp. 293-302, Feb.  2020
10.7840/kics.2020.45.2.293


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  Abstract

With dramatically increasing mobile data traffic, the lack of network capacity has been raised. To solve this problem, base stations are densely deployed and small base stations are overlapped. However, it can get worse inter-cell interference and system energy consumption problem. In order to tackle the problems, a base station switching method that switches off the base stations with low energy efficiencies is developed. However, served users by switched off base stations have to handover to neighboring base stations, and it can add additional traffic load to neighboring base stations. In addition, traffic is dynamically changed because users move constantly in mobile networks, so it can be considered. In this paper, we propose base station clustering and switching algorithm using reinforcement learning in mobile networks. To maximize system energy efficiency, the number of active base stations and clusters are decided by reinforcement learning. When the number of clusters is decided, base stations are clustered and base stations in the clusters are decided whether to switch on or off to maximize energy efficiency of the clusters. In simulation and discussion, the proposed algorithm is compared with existing algorithms in terms of system energy efficiency and average SINR.

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  Cite this article

[IEEE Style]

H. Park and Y. Lim, "Cell Activation Algorithm with Reinforcement Learning in Mobile Ultra Dense Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 2, pp. 293-302, 2020. DOI: 10.7840/kics.2020.45.2.293.

[ACM Style]

Hyebin Park and Yujin Lim. 2020. Cell Activation Algorithm with Reinforcement Learning in Mobile Ultra Dense Network. The Journal of Korean Institute of Communications and Information Sciences, 45, 2, (2020), 293-302. DOI: 10.7840/kics.2020.45.2.293.

[KICS Style]

Hyebin Park and Yujin Lim, "Cell Activation Algorithm with Reinforcement Learning in Mobile Ultra Dense Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 2, pp. 293-302, 2. 2020. (https://doi.org/10.7840/kics.2020.45.2.293)