Deep Fade Event's Probability Performance Analysis of Non-Orthogonal Multiple Access Scheme Realization in Power Domain

Abstract

In this paper, the author investigates the deep fade event probability performance of non-orthogonal multiple access (NOMA). For the analysis, the author considers the downlink of a mobile wireless network scenario wherein the users assumes random locations. The author develops an insightful analysis which comprises of analytical results for deep fade event probability. Specifically, the author derives a tractable closed-form upper bound on deep fade probability in a more practical and insightful scenario in which a user is probabilistically active. To numerically evaluate the performance of insightful analytical results, the author plots the deep fade probability for various simulation parameters. From the numerical plots, the author observes that the user's deep fade event probability improves as the number of users increases. Finally, the author suggests a few adaptive techniques to improve deep fade probability performance.