Millimeter wave (mmWave) communication, which utilizes massive multiple input multiple output (MIMO) techniques, is one of the key enabling technologies for high capacity 5G cellular networks.
However, the hardware complexity and the high power consumption in massive-MIMO array hinder its integration.
Hybrid precoding technique, which combines large-dimensional analog preprocessing with low-dimensional digital processing can be used to reduce both hardware costs and power consumption in massive MIMO systems, as a potential method. In this paper, we introduce a hybrid precoding structure design in both narrowband and wideband massive MIMO inspired by the effective alternating minimization (AltMin) algorithm with the Least Squares Amendment (LSA). To be specific, in the proposed design, the analog Radio Frequency (RF) precoder structure employs the Discrete Fourier Transform (DFT) processing which in turn affects the performance of the system. In addition, the proposed design relies on Space-Time Block Coding (STBC) to attain diversity and further enhances the system reliability. We evaluate bit error rate (BER) performance of proposed massive MIMO system using various hybrid precoding techniques. Numerical simulations (Monte Carlo) are performed to check the precision of proposed BER analytical expression. Our simulation results demonstrate significant performance gains of the proposed STBC-based hybrid precoding with DFT processing over existing hybrid precoding algorithms.