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.
Highlights
Massive multiple-input and multiple-output (MIMO) has been envisioned as a crucial technology for the nextgeneration cellular systems, due to its high energy efficiency and spectral efficiency [1,2,3]
1.2 Summary of contributions In this journal, we investigate low-complexity beamdomain channel estimation, precoding, and power allocation in hybrid architecture massive MIMO systems
4 Numerical results and discussion we present the numerical results to evaluate the performance of the proposed signal processing methods in hybrid architecture massive MIMO systems
Summary
Massive multiple-input and multiple-output (MIMO) has been envisioned as a crucial technology for the nextgeneration cellular systems, due to its high energy efficiency and spectral efficiency [1,2,3]. To exploit the benefits of massive antennas, a large number of radio frequency (RF) chains are needed so that each antenna can own one dedicated RF chain. Hybrid architecture has been a promising scheme which combines cost-effective phase shifters and limited RF chains. There are two most common precoding techniques: hybrid precoding and analog precoding [4, 5]
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