A Hybrid Forecasting Model for Self-Similar Traffic in LEO Mega-Constellation Networks

Mega-constellation network traffic forecasting provides key information for routing and resource allocation, which is of great significance to the performance of satellite networks. However, due to the self-similarity and long-range dependence (LRD) of mega-constellation network traffic, traditional...

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Bibliographic Details

Published in:	Aerospace
Main Authors:	Chi Han, Wei Xiong, Ronghuan Yu
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	satellite network traffic forecast empirical mode decomposition autoregressive integrated moving average BP neural network adaptive order optimization operator
Online Access:	https://www.mdpi.com/2226-4310/11/3/191