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A Coalitional Model Predictive Control for the Energy Efficiency of Next-Generation Cellular Networks

Author

Listed:
  • Eva Masero

    (Department of Systems and Automation Engineering, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, 41092 Seville, Spain)

  • Luis A. Fletscher

    (Department of Electronic Engineering and Telecommunications, Facultad de Ingeniería, Universidad de Antioquia, 050010 Medellín, Colombia)

  • José M. Maestre

    (Department of Systems and Automation Engineering, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, 41092 Seville, Spain)

Abstract

Next-generation cellular networks are large-scale systems composed of numerous base stations interacting with many diverse users. One of the main challenges with these networks is their high energy consumption due to the expected number of connected devices. We handle this issue with a coalitional Model Predictive Control (MPC) technique for the case of next-generation cellular networks powered by renewable energy sources. The proposed coalitional MPC approach is applied to two simulated scenarios and compared with other control methods: the traditional best-signal level mechanism, a heuristic algorithm, and decentralized and centralized MPC schemes. The success of the coalitional strategy is considered from an energy efficiency perspective, which means reducing on-grid consumption and improving network performance (e.g., number of users served and transmission rates).

Suggested Citation

  • Eva Masero & Luis A. Fletscher & José M. Maestre, 2020. "A Coalitional Model Predictive Control for the Energy Efficiency of Next-Generation Cellular Networks," Energies, MDPI, vol. 13(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6546-:d:460620
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    References listed on IDEAS

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    1. Lubritto, C. & Petraglia, A. & Vetromile, C. & Curcuruto, S. & Logorelli, M. & Marsico, G. & D’Onofrio, A., 2011. "Energy and environmental aspects of mobile communication systems," Energy, Elsevier, vol. 36(2), pages 1109-1114.
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    Cited by:

    1. Shornalatha Euttamarajah & Yin Hoe Ng & Chee Keong Tan, 2021. "Energy-Efficient Joint Base Station Switching and Power Allocation for Smart Grid Based Hybrid-Powered CoMP-Enabled HetNet," Future Internet, MDPI, vol. 13(8), pages 1-22, August.
    2. Masero, Eva & Maestre, José M. & Camacho, Eduardo F., 2022. "Market-based clustering of model predictive controllers for maximizing collected energy by parabolic-trough solar collector fields," Applied Energy, Elsevier, vol. 306(PA).

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