Threshold-based Wireless-based NOMA Systems over Log-Normal Channels: Ergodic Outage Probability of Joint Time Allocation and Power Splitting Schemes

Abstract

Due to the development of state-of-the-art fifth-generation communication (5G) and Internet-of-Things (IoT), the demands for capacity and throughput of wireless networks have increased significantly. As a promising solution for this, a radio access technique, namely, non-orthogonal multiple access (NOMA) has been investigated. Particularly, in this paper, we analyse the system performance of a joint time allocation and power splitting (JTAPS) protocol for NOMA-based energy harvesting (EH) wireless networks over indoor scenarios, which we modelled with log-normal fading channels. Accordingly, for the performance analysis of such networks, the analytical expression of a metric so-called “ergodic outage probability” was derived. Then, thanks to Monte Carlo simulations done in Matlab, we are able to see how different EH power splitting (PS) and EH time switching (TS) factors influence the ergodic outage probability. Last, but not least, we plot the simulation results along with the theoretical results for comparison studies.

Combining Receiver Damaged by Beaulieu-Xie Fading and Rician Co-Channel Interference with a Purpose of Machine Learning QoS Level Prediction

“…To solve the integral in (9), we used (6) from [16] based on [12], where B w (c, d) is the incomplete Beta function ((8.39) in [13]). With adequate replacement in (9), CDF becomes…”

“…In [8], the closed-form expression for the average symbol error probability (ASEP) of generalised M-ary quadrature amplitude modulation (M-QAM) was derived over the BX fading channel. Furthermore, the probability of outage and error rate performance of maximal ratio combining, equal gain combining, and selection combining (SC) over arbitrarily correlated BX fading channels were considered in [9]. Here, different diversity combining schemes were used to mitigate fading influence.…”