![]() ![]() Hence, the correlation among the secondary user predict the next channel status, like AND, OR, majority rule fusion methods. Then, channel state of primary user is predicted by using the coupled hidden Markov model (CHMM) and ECGAN predictors. Initially, CRN system is designed to improve the spectrum efficiency and energy efficiency. To overcome these issues, an enhanced capsule generative adversarial network (ECGAN) for spectrum and energy efficiency of cooperative spectrum prediction (CSP) framework in CRN is proposed to improve the channel occupancy. So, the secondary user may not sense the state of inactive and busy state of the primary user resulting reduces the spectrum efficiency (SE) and energy efficiency (EE) of CRN. When more count of secondary users enters inside the channel may results in collisions. ![]() Cognitive radio network (CRN) is an intellective technology that frequently monitors the unused licensed spectrum in a particular frequency band. ![]()
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