Abstract
Large-scale of data terminals are deployed in the smart grid, especially the power distribution network. The effectiveness of data collection or scheduling for Source-Grid-Load-Storage is affected to some extent by the accuracy of the time synchronization of the terminal equipments. Here we propose a design of BBU Shaper to deal with time synchronization error on the above issues. This article analyzes the impact of synchronization errors between terminal devices within the coverage of a single base station which provides deterministic transmission for the power IoT. For the time-sensitive service flows, when the terminal has different priorities according to the service type, the time synchronization error of the terminal will affect the stability and effectiveness of the time-sensitive service flow transmission on the network. It is mainly reflected in timestamp deviation of the data collection, disrupting the determinism of other service flows and reducing the overall network resource utilization. Based on the analysis of the above problems, we proposes an edge data shaper which can reduces the impact of air interface time synchronization errors on big data services through mechanisms such as “ahead awaits; overtime elevates”. Evaluation shows that the Shaper can reduce the impact of time synchronization errors on the average delay of services to a certain extent.
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Acknowledgment
This work is partly supported by the Big Data Center of State Grid Corporation of China, and partly supported by the Beijing Municipal Education Commission Coconstruction Project under grant 2018BJLAB.
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Wang, J., Zhang, C., Li, Y., Hao, B., Lu, Z. (2020). Research on Time-Sensitive BBU Shaper for Supporting the Transmission of Smart Grid. In: Wang, X., Leung, V.C.M., Li, K., Zhang, H., Hu, X., Liu, Q. (eds) 6GN for Future Wireless Networks. 6GN 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 337. Springer, Cham. https://doi.org/10.1007/978-3-030-63941-9_40
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DOI: https://doi.org/10.1007/978-3-030-63941-9_40
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