Low-Complexity and Robust Framework of Precoding for Multi-Panel Massive MIMO

Abstract

Massive multiple-input multiple-output (m-MIMO) is used to improve the robustness of data transmission and high sum spectral efficiency in 5G systems. For 5G New Radio (NR) systems need to be designed to reduce cost and complexity, most notably hybrid analog-digital beam-forming with large-scale antenna array which has become a major research target. In the downlink transmission, we propose a robust and low-complexity framework of precoding design to implement hybrid beamforming (BF) of large antenna arrays with unconstrained in size. Furthermore, a large number of antenna elements can be into multiple panels m-MIMO for the purpose of reducing costs and saving power. This work proposes to use both azimuth and elevation angles parameters to provide low complexity adaptive beam control in panels m-MIMO system. In contrast to existing works, that aims to eliminate inter-user interference, this work is distinguished by adopting polarization function and space-time block code to the m-MIMO antenna arrays. We also propose new multi-panel codebook design correspondingly with control parameters. The performance of proposed framework is analysed with state-of-the-art research comparisons. To this end, the important factor of beamforming is the Error Vector Magnitude (EVM) will be analytical as well as in simulation presented.