Low-complexity beam-domain channel estimation and power allocation in hybrid architecture massive MIMO systems

Abstract

In this journal, we investigate the beam-domain channel estimation and power allocation in hybrid architecture massive multiple-input and multiple-output (MIMO) communication systems. First, we propose a low-complexity channel estimation method, which utilizes the beam steering vectors achieved from the direction-of-arrival (DOA) estimation and beam gains estimated by low-overhead pilots. Based on the estimated beam information, a purely analog precoding strategy is also designed. Then, the optimal power allocation among multiple beams is derived to maximize spectral efficiency. Finally, simulation results show that the proposed schemes can achieve high channel estimation accuracy and spectral efficiency.

Intelligent channel estimation in millimeter wave massive MIMO communication system using hybrid deep learning with heuristic improvement

“…The mmWave communication has become important technology and attracted huge attention in future wireless communication systems due to the higher “bandwidth resources of mmWave.” 1 However, the mmWave signal suffers from higher path loss and high frequency 2 . Moreover, this problem can be solved through a MIMO antenna array for achieving data transmission and directional beam alignment 3 .…”

“…1 However, the mmWave signal suffers from higher path loss and high frequency. 2 Moreover, this problem can be solved through a MIMO antenna array for achieving data transmission and directional beam alignment. 3 As mmWave bands have shorter wavelengths, the small form constraints can be constructed with large antenna arrays.…”