Research Article
Resource Prediction and Allocation Method for 5G C-RAN Based on Power Internet of Things
@INPROCEEDINGS{10.1007/978-3-030-73562-3_2, author={Junfeng Lv and Zifan Li and Bozhong Li and Fang Chen and Zhengyuan Liu and Peng Yu}, title={Resource Prediction and Allocation Method for 5G C-RAN Based on Power Internet of Things}, proceedings={Smart Grid and Innovative Frontiers in Telecommunications. 5th EAI International Conference, SmartGIFT 2020, Chicago, USA, December 12, 2020, Proceedings}, proceedings_a={SMARTGIFT}, year={2021}, month={7}, keywords={Ubiquitous power internet of things Electric power wireless network C-RAN Genetic algorithm}, doi={10.1007/978-3-030-73562-3_2} }- Junfeng Lv
Zifan Li
Bozhong Li
Fang Chen
Zhengyuan Liu
Peng Yu
Year: 2021
Resource Prediction and Allocation Method for 5G C-RAN Based on Power Internet of Things
SMARTGIFT
Springer
DOI: 10.1007/978-3-030-73562-3_2
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.
