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The predictability of busy/idle duration from video service with 480P solution over interference scenario is given in this table. We can find that data categorization can increase 〖 ¥Ð〗^unc of the set (1, 2) for busy data, and of the sets (1,1), (1, 2) , (2, 2) for idle data.
The AR based prediction performances also confirm that 16.3% busy data can be predicted with higher accuracy than that of all data without data categorization. For idle data, 83.3% idle data can be predicted with higher accuracy.
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IEEE/ICACT20210239 Slide.14
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