Intent Recognition and Situation Awareness Driven Routing Decision System
Aerospace communication network service on-demand expansion,dynamic and changeable network environment,heterogeneous and diverse network objects and sharp increase in network interference intensity and style require communication command decision-making system with automaticity and intelligence.This paper constructs an intent recognition and situation awareness jointly driven routing strategy system to provide solutions for commanders,enhance the timeliness and accuracy of decision-making,and improve the adaptability of the system in complex environments.This system contains modules of network situation awareness,user intent recognition and routing assisted decision-making.The network situation awareness module analyzes the topology of the aerospace communication network,and uses sending and receiving packets to obtain network service quality indicators such as link delay,bandwidth,packet loss rate,etc.;the intent recognition module,based on the huge amount of aerospace communication data,utilizes machine learning algorithms to identify and classify aerospace units that have already accessed the network in real time based on the characteristics of their communication data,and gives the weights of the service of quality indicators that are needed for their communication network;the assisted decision-making module provides the most convenient and fastest aerospace communication network services for the purpose of utilizing the real-time data provided by the first two modules,using reinforcement learning algorithms to achieve optimal routing for end-to-end network communication,and guaranteeing efficient and no-distortion transmission of information.
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