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| Ber Analysis For Downlink Massive Mimo Under Perfect Channel State Information |
Paul K.M. Masenya, Lusekelo Kibona
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Abstract:
By equipping many antennas on the base station (BS) side, massive MIMO system has proved to achieve extraordinary spectral efficiency, but still its performance is restricted by pilot contamination due to inevitable reuse of pilot sequences from user terminals in other cells. The main aim of this paper is to investigate and analyze the performance of single-cell massive MIMO on the downlink ergodic achievable sum-rate under imperfect CSI with linear precoding schemes namely Zero-forcing (ZF) and maximum ratio transmission (MRT) with minimum mean square error (MMSE) used to give the estimation error. The analysis through simulations have been done using MATLAB software, and the results have indicated that, in the presence of large channel estimation error there is no any ergodic sum- rate achieved while if the estimation error is very small then the imperfect channel tends to be like that of the perfect channel. About linear precoding scheme, the ZF pre-coder outperforms the MRT pre-coder in the high SNR as shown in different simulations graphs in which the high ergodic sum-rate was always high for ZF compared to MRT. In the future, the same analysis using FDD transmission mode under imperfect channel state information must be conducted.
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