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.
Highlights
The non-orthogonal multiple access (NOMA) has attracted a vast amount of research owing to the fact that it can support massive connectivity with low latency, high fairness, high reliability, and high throughput [1]–[4]
Inspired by the above studies, we investigate in this paper the ergodic outage probability of the joint time allocation and power splitting (JTAPS) scheme in NOMA-based simultaneous wireless information and power transfer (SWIPT) networks
We investigate the ergodic outage probability of a hybrid protocol so-called “JTAPS” for NOMA-based energy harvesting (EH) wireless networks over indoor log-normal fading channels
Summary
The non-orthogonal multiple access (NOMA) has attracted a vast amount of research owing to the fact that it can support massive connectivity with low latency, high fairness, high reliability, and high throughput [1]–[4]. Being SWIPT-based, the device users can harvest energy from the source signal to power themselves, subsequently providing higher throughput and energy efficiency gains in comparison with conventional relaying systems. These selfsustaining systems, are highly applicable for IoT devices, e.g., in solar panels for power output measuring purposes [24], or in the applications of emerging intelligent textiles [25]–[27].
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