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The complementary cumulative distribution function (CCDF) of the prediction error of throughput data using three CNNs are shown in left figure with (H=W=16) and right Figure with (H=W=34), respectively. All the three CNNs have almost identical prediction accuracy. The results imply that the throughput data from both STAs are all simple. Therefore, the simplest structure of CNN (CNN\#1) is enough to fully capture the feature of time-series throughput data. On the other hand, the results imply that using a small size of input matrix can further capture the data pattern for CNNs. |
IEEE/ICACT20210223 Slide.12
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