Ergodic capacity computation in cognitive radio aided non-orthogonal multiple access systems

In this article, the performance of cognitive radio system benefits from non-orthogonal multiple access (NOMA) scheme. We then examine metrics to adjust its quality signal processing. focus on secondary network containing NOMA users which have some impacts normal user and primary nodes. refer enhancement fairness spectrum utilization by enabling sharing. particular, power allocation factors are assigned provide different ergodic capacities for two in downlink such radio-non-orthogonal (CR-NOMA) system. This article presents approximated capacity users, adopts Rayleigh fading. The closed-form expressions expected match with Monte-Carklo simulation results main parameters can be determined control CR-NOMA. Finally, is prominent once outperforms than that conventional orthogonal (OMA)-based