  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.
