Performance Analysis of RL-Based Binary Power Control for Small Cell Networks with Nonuniform Traffic Distribution 


Vol. 48,  No. 8, pp. 926-933, Aug.  2023
10.7840/kics.2023.48.8.926


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  Abstract

Recently, the exponential growth of mobile devices and the increasing demand for data-intensive applications have led to an increased need for efficient and sustainable next-generation network technologies. Small cell technology has emerged as a promising solution due to its ability to support increasing traffic and reduce carbon emissions. However, the dense deployment of small cell networks can lead to serious interference between neighboring base stations (BSs), which must be addressed to ensure efficient and effective operation of the network. To address this issue, this paper proposes a multi-agent Q-learning based binary BS transmit power control technique. This technique aims to reduce interference between BSs and increase energy efficiency by adaptively adjusting the transmit power. The proposed technique utilizes a multi-agent reinforcement learning to enable BSs to learn the optimal transmit power levels in small cell networks with nonuniform traffic distribution. The simulation results demonstrate that the proposed technique outperforms the existing technique that uses the maximum transmission power. Specifically, the proposed technique achieves higher energy efficiency while effectively reducing interference between neighboring BSs.

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  Cite this article

[IEEE Style]

H. Cho, J. Lee, H. Kim, J. Na, H. Lee, "Performance Analysis of RL-Based Binary Power Control for Small Cell Networks with Nonuniform Traffic Distribution," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 8, pp. 926-933, 2023. DOI: 10.7840/kics.2023.48.8.926.

[ACM Style]

Hyebin Cho, Junseung Lee, Hyungsub Kim, Jeehyeon Na, and Howon Lee. 2023. Performance Analysis of RL-Based Binary Power Control for Small Cell Networks with Nonuniform Traffic Distribution. The Journal of Korean Institute of Communications and Information Sciences, 48, 8, (2023), 926-933. DOI: 10.7840/kics.2023.48.8.926.

[KICS Style]

Hyebin Cho, Junseung Lee, Hyungsub Kim, Jeehyeon Na, Howon Lee, "Performance Analysis of RL-Based Binary Power Control for Small Cell Networks with Nonuniform Traffic Distribution," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 8, pp. 926-933, 8. 2023. (https://doi.org/10.7840/kics.2023.48.8.926)
Vol. 48, No. 8 Index