In this paper, the sensing data are collected by the satellite that can fully observe the spectrum, so the proposed onboard interference prediction scheme CMA is compared with the one in [12,13].
In this paper, we propose the memorized centroid bucket (MCB) schemes to achieve the long-term interference prediction by the suggested stationary spectral distribution (SSD) of interferences.
So, rather than using the widely used methods for CMA, we design a novel interference prediction scheme for the LEO satellite to utilize the global history effectively and efficiently.
Here, we propose the onboard interference prediction scheme memorized centroid bucket (MCB) whose system model is shown in Figure 4.
Our focus here lies on the long-term interference prediction whose performance determines the feasibility of the CMA in our system.
The measure [P.sub.d] represents the success rate of the interference prediction. Sometimes, we may need to assure a higher quality of the communication services.
Based upon
interference predictions and measurements, PathGuard compiles for every PCS sector a preliminary list of channels that, when individually activated, will not cause interference to (or receive interference from) an OFS incumbent.