IEEE/ICACT20210239 Slide.05        [Big Slide]       Oral Presentation
Therefore, our contributions of this research are two items. We first investigate the distribution model of continuous busy/idle duration of two major and widely used wireless services: video service; and audio service over noninterference scenario and interference scenario. Here the noninterference scenario can be treated as an anechoic chamber where no any other communication systems access the WLAN channels. The interference scenario considers the normal office environments with multiple communication systems existed. Then, we research the predictability of busy/idle duration and propose the prediction method using a simple auto-regressive (AR) based predictor with data categorization.

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