Performance Analysis of Cognitive-Inspired Wireless Powered NOMA Systems With Joint Collaboration

This paper investigates the performance analysis of cognitive-inspired wireless-powered non-orthogonal multiple access (NOMA) systems, where two collaborative schemes are jointly proposed to enhance quality-of-signal at primary cell-edge (CE) user in dead zones. In particular, first scheme, namely internal schemes, is developed based on availability cell-near users (CU), while rest, called external comes from help a secondary source (SS). For second SS’ operation considered with relaying-encoding NOMA protocols, decode-and-forward (DF) and amplifier-and-forward (AF). order enable CE’s communications short execution times, power-splitting mechanism both CU SS. To capture system’s trend accurately, closed-form approximate expressions for outage probability derived. Moreover, we also carry out respective asymptotic expression high transmit power regimes show some useful insight, such as diversity coding gain. Finally, extensive Monte-Carlo simulations presented collaborate accuracy theoretical numerical results that scheme provides enhancement better than using only one scheme.