Outage Probability Analysis of NOMA Enabled Hierarchical UAV Networks with Non-Linear Energy Harvesting

TL;DR

This paper analyzes the outage probability of a hierarchical UAV network employing NOMA and non-linear energy harvesting, demonstrating improved performance over non-EH systems in 6G IoT applications.

Contribution

It introduces a novel hierarchical UAV network model with non-linear energy harvesting and NOMA, deriving outage probability expressions under realistic conditions.

Findings

Proposed system outperforms non-EH benchmarks in outage probability.

Derived outage probability expressions considering hardware impairments.

Demonstrated energy and cost efficiency benefits of the hierarchical NOMA UAV network.

Abstract

Uncrewed aerial vehicles (UAVs) are expected to enhance connectivity, extend network coverage, and support advanced communication services in sixth-generation (6G) cellular networks, particularly in public and civil domains. Although multi-UAV systems enhance connectivity for IoT networks more than single-UAV systems, energy-efficient communication systems and the integration of energy harvesting (EH) are crucial for their widespread adoption and effectiveness. In this regard, this paper proposes a hierarchical ad hoc UAV network with non-linear EH and non-orthogonal multiple access (NOMA) to enhance both energy and cost efficiency. The proposed system consists of two UAV layers: a cluster head UAV (CHU), which acts as the source, and cluster member UAVs (CMUs), which serve as relays and are capable of harvesting energy from a terrestrial power beacon. For the considered IoT network architecture, the outage probability expressions of ground Internet of things (IoT) devices, each CMU, and the overall outage probability of the proposed system are derived over Nakagami-m fading channels with practical constraints such as hardware impairments and non-linear EH. We compare the proposed system against a non EH system, and our findings indicate that the proposed system outperforms the benchmark in terms of outage probability.