An Offloading Scheme through Wireless Environment Learning for 5G Small Cell Network 


Vol. 46,  No. 1, pp. 74-84, Jan.  2021
10.7840/kics.2021.46.1.74


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  Abstract

In the case of millimeter wave, because the frequency band is high, the attenuation is severe so communication is possible only in a small area. Small cell technology is to install several small base stations by dividing them into small areas due to the increase in wireless communication devices. This small cell technology is known as an essential technology for supporting the millimeter wave band in a 5G network. However, small cells have a narrow range of communication areas and are difficult to handle a large number of requests. In particular, when communication explosively increases in a small cell, there is a problem that a offloading needs to be made to a nearby small cell base station or a macro cell base station. In this paper, to optimize the offloading, we propose the offloading algorithm through machine learning among each cell.

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  Cite this article

[IEEE Style]

S. An, J. Kim, W. Chon, J. So, "An Offloading Scheme through Wireless Environment Learning for 5G Small Cell Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 1, pp. 74-84, 2021. DOI: 10.7840/kics.2021.46.1.74.

[ACM Style]

Sanghyeon An, Jongwon Kim, Woosun Chon, and Jungmin So. 2021. An Offloading Scheme through Wireless Environment Learning for 5G Small Cell Network. The Journal of Korean Institute of Communications and Information Sciences, 46, 1, (2021), 74-84. DOI: 10.7840/kics.2021.46.1.74.

[KICS Style]

Sanghyeon An, Jongwon Kim, Woosun Chon, Jungmin So, "An Offloading Scheme through Wireless Environment Learning for 5G Small Cell Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 1, pp. 74-84, 1. 2021. (https://doi.org/10.7840/kics.2021.46.1.74)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880