Abstract
In order to solve the problem of low resource utilization rate of multiple power communication network service providers, this paper proposes a power communication network resource management system, which consisting of the self-built power communication network service provider, the third-party power communication network service provider, a power communication network resource allocation center, and the demand side of power communication network. Secondly, the competitor's service cost coefficient is solved to obtain the competitor's competitive strategy, using the predictive mechanism of the service cost coefficient probability density function; and the reaction function based inference process is transformed to obtain the Jacobin iterative formula of service capability. Finally, a service capability optimization algorithm based on Jacobi iteration is proposed. In the simulation experiment part, the competition game model is simulated, which proves that the algorithm is more in line with the real environment than the competition game under the complete information. It is more practical for the power company to choose the power communication network service provider.
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Acknowledgment
This work was supported by the State Grid Technology Project “Research on Application of interaction between shared mode electric vehicle and power grid”(5418-201971184A-0-0-00) from State Grid Corporation of China.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Z., Duan, K., Xu, T. (2021). Service Capability Optimization Algorithm for Power Communication Network Service Providers in Competitive Game Environment. In: Cheng, M., Yu, P., Hong, Y., Jia, H. (eds) Smart Grid and Innovative Frontiers in Telecommunications. SmartGIFT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-030-73562-3_4
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DOI: https://doi.org/10.1007/978-3-030-73562-3_4
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