Random number generation (RNG) is a crucial element in security protocols, and its performance and reliability are critical for the safety and integrity of digital systems. This is especially true in 5G networks with many devices with low entropy sources. This paper proposes 5G-SRNG, an end-to-end random number generation solution for devices with low entropy sources in 5G networks. Compared to traditional RNG methods, the 5G-SRNG relies on hardware or software random number generators, using 5G spectral information, such as from spectrum-sensing or a spectrum-aware feedback mechanism, as a source of entropy. The proposed algorithm is experimentally verified, and its performance is analysed by simulating a realistic 5G network environment. Results show that 5G-SRNG outperforms existing RNG in all aspects, including randomness, partial correlation and power, making it suitable for 5G network deployments.

翻译：随机数生成（RNG）是安全协议中的关键要素，其性能与可靠性对数字系统的安全性和完整性至关重要。这一点在包含大量低熵源设备的5G网络中尤为突出。本文提出5G-SRNG，一种面向5G网络中低熵源设备的端到端随机数生成方案。相较于传统RNG方法，5G-SRNG基于硬件或软件随机数生成器，将频谱感知或频谱感知反馈机制等5G频谱信息作为熵源。通过模拟真实5G网络环境，对所提算法进行实验验证和性能分析。结果表明，5G-SRNG在随机性、偏相关性和功率等各方面均优于现有RNG方案，适用于5G网络部署。