Location-Based Channel Estimation for Massive Full-Dimensional MIMO Systems

In this paper, a two-dimensional location-based channel estimation algorithm is proposed for massive full-dimensional multiple-input multiple-output (FD-MIMO) systems with intracell pilot reuse, which serves more users using the same timefrequency resource and significantly improves the sum capacity of users compared with conventional schemes. By utilizing the two-dimensional antenna arrays, different users assigned with the same pilot could be distinguished by their non-overlapping azimuth angle-of-arrivals (A-AOAs) and elevation angle-of-arrivals (EAOAs), and thus the interference caused by pilot reuse could be removed. Simulation results show that the sum capacity of the proposed algorithm could be improved as the number of antennas grows large.