Space-Air-Ground Integrated Heterogeneous Network Slicing with Native Intelligence

Abstract

This paper proposes a Space-Air-Ground integrated heterogeneous network slicing scheme with native intelligence, employing a Distributed Weighted Classification Method for network entity classification and the corresponding distributed network organization and network slicing dyeing. Instances of network slicing dyeing mechanisms in scenarios of high security, high data rate, and low latency are given. Performance evaluation shows that the proposed scheme outperforms the typical network slicing based on standardization in all three scenarios.