A Carrying Method for 5G Network Slicing in Smart Grid Communication Services Based on Neural Network
نویسندگان
چکیده
When applying 5G network slicing technology, the operator’s resources in form of mutually isolated logical slices provide specific service requirements and quality guarantees for smart grid communication services. In face new situation 5G, which comprises surge demand services types, as well digital intelligent development networks, it is even more important to a self-intelligent resource allocation carrying method when are allocated. To this end, based on neural proposed. The objective establish hierarchical scheduling system at power gate-way edge, where classification matching (i) adapt characteristics (ii) dynamic prediction traffic both realized. This extracts data features encodes through one-dimensional Convolutional Neural Network (1D CNN) order achieve also combines with Bidirectional Long Short-Term Memory (BILSTM) time-series network. simulation results validate feasibility model 1D CNN BILSTM
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ژورنال
عنوان ژورنال: Future Internet
سال: 2023
ISSN: ['1999-5903']
DOI: https://doi.org/10.3390/fi15070247