학술논문

INSPiRE – An Approach to Mission Quality Management using Network Slicing for Space Applications
Document Type
Conference
Source
2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW) Aerospace Applications Workshop (CCAAW), 2023 IEEE Cognitive Communications for. :1-6 Jun, 2023
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Signal Processing and Analysis
Machine learning algorithms
Network topology
Network slicing
Space missions
Moon
NASA
Quality of service
Cognitive Communications
Space Communications
Satellite Communications
Deep Space
Decision Engine
Language
Abstract
Managing traffic between the Earth-Moon and Earth-Mars is a complex process requiring significant investment in resources and expertise at NASA. INSPiRE improves the performance of space networks by enabling a dynamic re-configuration process that works for any mixed topology over a heterogeneous and multi-vendor network. To achieve the desired functionality, INSPiRE incorporates a set of algorithms, machine learning processes, and policy inference to handle unpredictable, disruptive events. INSPiRE draws parallels from the current notion of the 3GPP (5G and beyond) Network Slicing approach, where the same physical network divides into several virtual networks, and for each of these virtual networks, there is a guaranteed Quality of Service for the missions that they serve.