Analysis and Optimization Strategies for Physical Layer Security Performance in Uplink Uav Cooperative Noma Systems

This article mainly studies the physical layer security issues of uplink unmanned aerial vehicle cooperative Non -Orthogonal Multiple Access (NOMA) systems, and analyzes the reliability and security of the system through user error rate and security outage probability. Firstly, a system model consisting of ground users, base stations, eavesdropping drones, and collaborative drones is constructed. The collaborative drones adopt the Amplify and Forward (AF) strategy. Through theoretical derivation and simulation analysis, we conducted in-depth research on the impact mechanism of factors such as transmission power and location of collaborative drones, user location, transmission power, and eavesdropping drone location on symbol error rate and security outage probability. We also proposed improvement strategies such as user transmission power control, collaborative drone decoding and forwarding, and adding collaborative drones. Simulation verification has shown that these strategies can effectively enhance the security and reliability of the system.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/icccs65393.2025.11069566
Primary Topic
Advanced Wireless Communication Technologies
Type
article
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article

Analysis and Optimization Strategies for Physical Layer Security Performance in Uplink Uav Cooperative Noma Systems

Nan Sha, Yuanyuan Gao, Chengfei Ding
Advanced Wireless Communication Technologies
article

Analysis and Optimization Strategies for Physical Layer Security Performance in Uplink Uav Cooperative Noma Systems

Nan Sha, Yuanyuan Gao, Chengfei Ding
article en

Abstract

This article mainly studies the physical layer security issues of uplink unmanned aerial vehicle cooperative Non -Orthogonal Multiple Access (NOMA) systems, and analyzes the reliability and security of the system through user error rate and security outage probability. Firstly, a system model consisting of ground users, base stations, eavesdropping drones, and collaborative drones is constructed. The collaborative drones adopt the Amplify and Forward (AF) strategy. Through theoretical derivation and simulation analysis, we conducted in-depth research on the impact mechanism of factors such as transmission power and location of collaborative drones, user location, transmission power, and eavesdropping drone location on symbol error rate and security outage probability. We also proposed improvement strategies such as user transmission power control, collaborative drone decoding and forwarding, and adding collaborative drones. Simulation verification has shown that these strategies can effectively enhance the security and reliability of the system.

PLA Army Engineering University (CN)
Openalex Percentile: Top 85%
Advanced Wireless Communication Technologies
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