Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems

Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems

Blog Article

In mm-wave massive Multiple Input Multiple Output (MIMO) systems, in order to further improve the spectral efficiency of hybrid precoding in fully connected structure, an Alternate Minimization based on Gradient Descent (GD-AltMin) hybrid precoding algorithm is proposed.Firstly, the right singular popularfilm.blog vector of the channel matrix is used to initialize the analog precoding matrix.Secondly, digital and analog precoding matrices are updated by least square criterion and gradient descent method respectively.Then, under the principle of alternating minimization, the digital and analog precoding matrices are updated iteratively until the optimal digital and analog precoding matrices are obtained.Through theoretical analysis cashel tail bag and numerical simulation, the spectral efficiency of several classical algorithms are compared under different signal-to-noise-ratio, number of radio frequency links and number of transmitting antennas.

The results show that the spectral efficiency of the proposed algorithm is closer to the optimal unconstrained precoding algorithm than alternate minimization algorithm using phase extraction and channel singular value decomposition algorithm, especially when the number of radio frequency links is greater than the number of data streams.