Channel Optimization Modeling and Hybrid Beamforming for Fifth-Generation Millimeter-Wave V2V Communications

Abstract

<p>Massive multiple-input multiple-output (MIMO) systems combined with beamforming antenna array technologies is playing a vital role in 5G and beyond communication systems. 5G com- munication is characterised by high bandwidth, low latency and high reliable communication and is a key factor to enable Vehicle to Vehicle (V2V) communication. </p> <p>In this thesis project, we simulate one of the applications of V2V ecosystem i.e vehicles com- municating with other vehicles. For brevity, a single scenario where one vehicle is stationary and the other vehicle is either moving towards or away from the stationary vehicle is considered for experiments. Initially, a framework based on single user MIMO-OFDM hybrid beamforming system operating at mmWave frequency of 28 GHz was established. Thereafter a precoding process is established using Orthogonal Matching Pursuit (OMP) Algorithm that enables the transmitter to provide near optimum beamforming gain and directivity to the transmitted signal. </p> <p>Next, a simulated scenario of a receiver moving at a constant speed communicating with a transmitter is implemented. We provide simulation results of the radiation pattern emitted by the transmitter for different receiver trajectory points. Radiation pattern is analysed in terms of E-field, power and directivity. Bit error rate and RMS EVM of the received signal was evaluated and benchmarked together with Doppler frequency shift waveform to show the frequency variation in received signal strength with distance </p>