Multiple vandermonde decomposition based channel estimation for MmWave MIMO high-mobility communication in 5G and beyond

Millimeter wave (mmWave) massive massive multiple input multiple output (MIMO) technique has been regarded as the viable solution for vehicular communications in 5G and beyond. To achieve the substantial increase in date rates, it is important to take an effective channel state information (CSI). However, existing channel estimation strategies are unavailable since the users high-mobility. To solve above issues, in this paper, inspired by a specific antenna structure, we propose a novel approach for fast time-varying channel estimation. Specifically, by considering the vehicle scenario with high-mobility, a corresponding mathematical model is firstly established. Then, based on the special structural of the sparse array, the switch network is used to replace the convention phase shifter of mmWave hybrid system, which can effectively reduce the number of radio-frequency (RF) chains and antennas. Furthermore, by solving the semidefinite programming (SDP) duality problem, the Doppler frequency and path parameters are effectively estimated. Simulation results are shown that the computational complexity and estimation accuracy of the proposed algorithm is superior than that of the traditional schemes.