DoA Estimation and Capacity Analysis for 3D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems

Abstract

With the promise of meeting future capacity demands, 3D massive-MIMO/Full Dimension MIMO (FD-MIMO) systems have gained much interest in recent years. Apart from the huge spectral efficiency gain, 3D massive-MIMO/FD-MIMO systems can also lead to significant reduction of latency, simplified multiple access layer, and robustness to interference. However, in order to completely extract the benefits of the system, accurate channel state information is critical. In this paper, a channel estimation method based on direction of arrival (DoA) estimation is presented for 3D millimeter wave massive-MIMO OFDM systems. To be specific, the DoA is estimated using Estimation of Signal Parameter via Rotational In-variance Technique (ESPRIT) method, and the root mean square error (RMSE) of the DoA estimation is analytically characterized for the corresponding MIMO-OFDM system. An ergodic capacity analysis of the system in the presence of DoA estimation error is also conducted, and an optimum power allocation algorithm is derived. Furthermore, it is shown that the DoA-based channel estimation achieves better performance than traditional linear minimum mean squared error estimation (LMMSE) in terms of ergodic throughput and minimum chordal distance between the subspaces of the downlink precoders obtained from the underlying channel and the estimated channel.