Security Performance Optimization of Aerial Downlink NOMA-IRS Aided Networks

Advancements in next-generation wireless networks are being driven by the introduction of innovative technologies, a focus of numerous research studies. Consequently, the Intelligent Reflective Surface (IRS) within Non-Orthogonal Multiple Access (NOMA) networks has emerged as a valuable and favorable technology for this purpose. In this paper, we delve into the security challenges of an aerial downlink in IRS-aided NOMA networks, especially when faced with potential eavesdropping. We further explore an optimization strategy for secrecy performance, utilizing the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm.