DEEP FUSION REASONING ENGINE (DFRE) FOR DYNAMIC AND EXPLAINABLE WIRELESS NETWORK QoE METRICS

    公开(公告)号:US20210152440A1

    公开(公告)日:2021-05-20

    申请号:US17130804

    申请日:2020-12-22

    Abstract: In one embodiment, a network quality assessment service that monitors a network obtains multimodal data indicative of a plurality of measurements from the network and subjective perceptions of the network by users of the network. The network quality assessment service uses the obtained multimodal data as input to one or more neural network-based models. The network quality assessment service maps, using a conceptual space, outputs of the one or more neural network-based models to symbols. The network quality assessment service applies a symbolic reasoning engine to the symbols, to generate a conclusion regarding the monitored network. The network quality assessment service provides an indication of the conclusion to a user interface.

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