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Finally, based on a case study, we demonstrated a procedure for determining the optimal sensing interval value with the proposed simulator.
The sensing interval optimization problem is expanded to the sensing parameter optimization problem where both the sensing duration and the sensing interval are optimized together.
Figure 6 shows the comparison between the proposed optimal sensing interval and the conventional optimal sensing interval for different (p d, p f ) combinations.
Numerical analyses show the relationship between the sensing interval and the TDP and the optimal sensing parameters consisting of the optimal sensing duration and the optimal sensing interval.
In Section 3, the new detection probability is derived as a function of a sensing interval.
Finally, both the optimal sensing interval and the optimal sensing duration are simultaneously derived.
The new detection probability is also derived as a function of a sensing interval.
This sensing interval consists of a sensing duration and a transmission duration.
The average W for each sensing interval becomes smaller as C becomes larger.
We first show the effect of the sensing interval on the TDP.
For each sensing interval, CUs will send their sensing data to the FC.
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