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

Eva Masero, Luis A. Fletscher and José M. Maestre
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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

Energies, 2020, vol. 13, issue 24, 1-19

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).

Keywords: model predictive control; coalitional control; renewable energy; networked systems; wireless network (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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