摘要
随着飞机平台网络节点数量不断增多、网络规模不断扩大、网络业务趋于多样,传统的机载网络无法很好地满足新业务和新需求.深度学习在大规模和复杂拓扑的网络管理中展现出了巨大潜力.聚焦深度学习在未来机载网络中的应用领域,对深度学习在机载网络中的使用做了广泛调研,对其应用范式进行了讨论.
Abstract
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.
维普
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