Recently, efficient spectrum usage has become a critical issue. Cognitive radio is expected to solve such problems. One of important research topics on cognitive radio is predicting of channel status such as channel occupied ratio (COR) and busy/idle status from the current spectrum sensing information. There are many research results for COR prediction [1]. However, there are not many researches for channel busy/idle status prediction. If the transmitter can predict correctly the busy or idle status of channel, a radio system can efficiently utilize available radio resources and improve spectrum efficiency. This paper will investigate the performance of channel busy/idle status prediction performance using auto-regressive (AR) model [2].
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