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Published in:
2021 | OriginalPaper | Chapter
Resource Prediction and Allocation Method for 5G C-RAN Based on Power Internet of Things
Authors : Junfeng Lv, Zifan Li, Bozhong Li, Fang Chen, Zhengyuan Liu, Peng Yu
Published in: Smart Grid and Innovative Frontiers in Telecommunications
Publisher: Springer International Publishing
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Abstract
The construction of power Internet of things is an important practice of network power strategy, which can greatly improve the coordination and data connectivity between various businesses of power grid. With the continuous maturity of 5G technology, it also can be used as an alternative access network solution. Facing the power Internet of things, this paper discusses the feasibility of C-RAN cloud wireless access network architecture in the power Internet of things access. Furthermore, this paper designs the base station traffic prediction algorithm based on LSTM and the network resource allocation algorithm based on genetic algorithm, which improves the utilization efficiency of network resources, and is of great significance for the future access network in the power industry to save construction costs and energy consumption.