A Survey of Deep Learning for Next Generation Avionics Network
With the increasing number of airborne network nodes,avionics network scale continues to ex-pand,network services tend to be diverse,traditional airborne networks will not meet the new task and re-quirements.As a promising machine learning tool to handle the accurate pattern recognition from complex raw data,deep learning(DL)is becoming a powerful method to add intelligence to wireless networks with large-scale topology and complex topology conditions.Given the extensiveness of the avionics network,challenges and unresolved issues are presented to facilitate future studies,where DL based network sli-cing,infrastructure update to support DL based paradigms,open data sets and platforms for researchers,theoretical guidance for DL implementation and so on are discussed.
万方数据
维普
