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An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization

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  • Min Wook Kang

    (Department of Information and Telecommunication Engineering, Graduate School, Soongsil University, Seoul 06978, Korea)

  • Yun Won Chung

    (School of Electronic Engineering, Soongsil University, Seoul 06978, Korea)

Abstract

Reducing energy consumption of mobile communication networks has gained significant attentions since it takes a major part of the total energy consumption of information and communication technology (ICT). In this paper, we consider 5G networks with heterogeneous macro cells and small cells, where data and control planes are separated. We consider two types of data traffic, i.e., low rate data traffic and high rate data traffic. In basic separation architecture, a macro cell base station (MBS) manages control signals, while a small cell base station (SBS) manages both low rate data traffic and high rate data traffic. In the considered modified separation architecture, an MBS manages control signals and low rate data traffic, while an SBS manages high rate data traffic. Then, an efficient energy saving scheme for base stations (BSs) is proposed, where the state of a BS is determined depending on the number of user equipments (UEs) that request high rate data traffic and the number of UEs that exist under the overlapping areas commonly covered by the considered BS and the neighbor BSs. We formulate an optimization problem for the proposed energy saving scheme and obtain the solution using particle swarm optimization (PSO). Numerical results show that the proposed energy saving scheme in the modified separated network architecture has better energy efficiency compared to the conventional energy saving schemes in both basic and modified separated network architectures. Also, the proposed energy saving scheme has lower aggregate delay.

Suggested Citation

  • Min Wook Kang & Yun Won Chung, 2017. "An Efficient Energy Saving Scheme for Base Stations in 5G Networks with Separated Data and Control Planes Using Particle Swarm Optimization," Energies, MDPI, vol. 10(9), pages 1-28, September.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1417-:d:112106
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    References listed on IDEAS

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    1. Gendron, Bernard & Scutellà, Maria Grazia & Garroppo, Rosario G. & Nencioni, Gianfranco & Tavanti, Luca, 2016. "A branch-and-Benders-cut method for nonlinear power design in green wireless local area networks," European Journal of Operational Research, Elsevier, vol. 255(1), pages 151-162.
    2. Olinick, Eli V. & Rosenberger, Jay M., 2008. "Optimizing revenue in CDMA networks under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 186(2), pages 812-825, April.
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    Cited by:

    1. Preetjot Kaur & Roopali Garg & Vinay Kukreja, 2023. "Energy-efficiency schemes for base stations in 5G heterogeneous networks: a systematic literature review," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 84(1), pages 115-151, September.
    2. Jian Chen & Yongkun Shi & Jiaquan Sun & Jiangkuan Li & Jing Xu, 2023. "Base Station Planning Based on Region Division and Mean Shift Clustering," Mathematics, MDPI, vol. 11(8), pages 1-22, April.

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