Abstract
To meet the diversity of smart grid services, network slicing can be considered as a cost-effective way to provide customized services for different QoS (Quality of Service) requirements of each service. Considering the downlink transmission between gNB (gNodeB) and UEs (User Equipments), this paper focuses on logically divided eMBB (Enhance Mobile Broadband) slices and uRLLC (Ultra Reliable & Low Latency Communication) slices, which formulates a multi-objective optimization problem for different QoS requirements of various services in smart grid. The throughput of the eMBB slicing service is maximized while ensuring the delay of the uRLLC slicing service. Based on this, the Lyapunov optimization theorem is used to convert it into an equivalent drift-plus-penalty minimization problem, which could be solved by Lagrange dual decomposition method. Furthermore, simulation results demonstrate the effectiveness of our proposed RA-DT algorithm.
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Acknowledgments
This paper is supported by “Smart Grid Technical Project Adaptation Analysis and Verification of 5G Network Slicing Technology in Power Network Business (5442XX180007-XX71-18-0205G)”.
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Meng, S. et al. (2020). Service-Aware Resource Allocation Based on RAN Slicing for Smart Grid. In: Barolli, L., Xhafa, F., Hussain, O. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing . IMIS 2019. Advances in Intelligent Systems and Computing, vol 994. Springer, Cham. https://doi.org/10.1007/978-3-030-22263-5_36
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DOI: https://doi.org/10.1007/978-3-030-22263-5_36
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