International Conference on Computer Communication and Information Systems (CCCIS)
Key Generation Parameter Set Selection Strategy in 5G NR Wireless Networks
Cai Song, Xuan Yang
Abstract
The rapid advancement and deployment of 5G NR technology in diverse applications have introduced new challenges to network security. While 5G NR’s architecture allows flexible customization of subcarrier spacing and frame structures, enabling devices to optimize configurations based on mobility, service characteristics, and coverage, research has largely neglected the potential of fine-tuning system parameters to enhance key generation efficiency and security. This paper addresses this gap by analyzing time-frequency domain correlation and key generation rate as key metrics. We explore the impact of parameter selection on the key generation process in 5G NR systems. Using the Pearson correlation coefficient of channel estimates in the time-frequency domain, we propose a parameter selection strategy to improve physical layer security, validated through simulations. Results show that in fast-fading environments, smaller subcarrier spacing yields better results, while in frequency-selective fading channels, larger subcarrier spacing significantly enhances key generation performance.