HIGHLIGHTS
- who: Tech Science Press and collaborators from the Department Electronics, Korea Polytechnic University, Gyeonggi-do, Korea have published the research: Reconfigurable Sensing Time in Cooperative Cognitive Network Using Machine Learning, in the Journal: (JOURNAL)
- what: The main contributions of the paper are as follows: A centralized CSS is examined while searching PU channel information.
- how: The results are compared with conventional MGC EGC and Count fusion schemes based on fixed samples (FS) decision tree (DT) algorithms and linear regression (LR). This result is compared with the numerical set threshold to decide the spectrum . . .
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