Securing Physical Layer of 5G Wireless Network System over GFDM Using Linear Precoding Algorithm for Massive MIMO and Hyperchaotic QRDecomposition

Abstract

This paper introduces a novel voice encryption wireless system, which is based on characteristics of massive Multiple Input Multiple Output (MIMO) wireless channel. By exploiting the Minimum Mean Square Error (MMSE) precoding technique, channel fading values are permutated and substituted using various chaotic generators. The voice samples are mixed with channel values and a chaotic sequence before being transmitted. The proposed model was applied on a 5G network that included Generalized Frequency Division Multiplexing (GFDM), Parallel Spatial Modulation (PSM), and massive MIMO. Two chaotic sequences are generated, the first one used for the substitution stage by QR decomposition for the Henon map and then combining the outcome with Bernoulli and logistic maps to Q and R matrices, respectively. New chaotic signals are added to the real and imaginary parts of the MMSE precoding matrix. The second key is generated by the Tent map to perform the permutation stage for the overall precoding matrix. Several security metrics tests were used to verify effectiveness the of the proposed method resistance against attacks.The obtained tests results are: Signal to Noise Ratio (SNR=-23.1223), Root Mean Square (RMS=0.88565), Crest Factor (CF=10.6717), correlation coefficient (r_xy=0.000471), Linear Predictive Code Distance (dLPC=1.2758), Spectral Segment SNR (SSSNR=-27.6149), Cepstral Distance (dCD=9.4159), number of samples change rate (NSCR=33.334%), unified average changing intensity (UACI=99.9998%), keyspace=2500, key sensitivity, and speed=0.0329.The simulation results show that the proposed scheme has an excellent level of security and resistance to various forms of attacks, which outperforms many recent similar voice encryption methods