In this thesis, spectral and energy efficiencies (SE and EE) of uplink in multi-cell massive multiple-input- multiple-output (MIMO) systems are studied for correlated Rician channel. It is assumed that the channel is estimated by pilot transmission and applying minimum mean square error (MMSE), least squares (LS) and element-wise MMSE (EWMMSE) methods. SE analysis is intricate in presence of LS and EWMMSE channel estimators because the signal and interference parts are cross-correlated. In this thesis, we use information theory to calculate instantaneous SE of maximum ratio combining (MRC) detector. After that, some closed-form approximations are proposed for ergodic SE, which are close enough to Monte Carlo simulation results, and also higher than the lower bounds in previous works. In numerical results, curves related to MMSE estimation are the highest, and the lowest is seen for LS. EE is also studied based on derived SE and total power consumption. In numerical results, EE is increasing in terms of the number of base station (BS) antennas at first in the same order for LS, EWMMSE and MMSE as observed in SE results. The curves start falling, such that EE becomes the lowest for MMSE estimation in massive antennas. Keywords: Massive MIMO, Channel Estimation, Energy Efficiency, Spectral Efficiency and MRC detectio
