Adaptive BS Control Scheme Based on User Density for Improving Energy Efficiency in Ultra Dense Networks 


Vol. 43,  No. 11, pp. 1831-1839, Nov.  2018
10.7840/kics.2018.43.11.1831


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  Abstract

In 5G networks, the number of base stations (BSs) and user equipments (UEs) will rapidly increase. Therefore, efficient energy utilization is one of the most important issues in the 5G networks. In this paper, we propose an algorithm to adaptively control the awake/sleep mode of the BS according to the user density in order to minimize the unnecessary energy consumptions in the ultra-dense network environments. By using the stochastic geometry, UEs and BSs are basically generated by the Poisson point process (PPP). Also, we consider the simulation environments where the users are concentrated on the specific region to consider the dense network situations. Because the proposed adaptive thinning (AT) algorithm determines the thinning radius considering the active user density, the status of the BSs within the thinning radius is changed into the sleep mode to improve the network energy efficiency. Through the simulation results with respect to the area throughput and energy efficiency, we demonstrate that our proposed AT algorithm outperforms conventional algorithms.

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  Cite this article

[IEEE Style]

W. Lee, H. Lee, B. C. Jung, "Adaptive BS Control Scheme Based on User Density for Improving Energy Efficiency in Ultra Dense Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 11, pp. 1831-1839, 2018. DOI: 10.7840/kics.2018.43.11.1831.

[ACM Style]

Wonseok Lee, Howon Lee, and Bang Chul Jung. 2018. Adaptive BS Control Scheme Based on User Density for Improving Energy Efficiency in Ultra Dense Networks. The Journal of Korean Institute of Communications and Information Sciences, 43, 11, (2018), 1831-1839. DOI: 10.7840/kics.2018.43.11.1831.

[KICS Style]

Wonseok Lee, Howon Lee, Bang Chul Jung, "Adaptive BS Control Scheme Based on User Density for Improving Energy Efficiency in Ultra Dense Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 11, pp. 1831-1839, 11. 2018. (https://doi.org/10.7840/kics.2018.43.11.1831)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880