Abstract
Massive Multi Input Multi Output (MIMO) systems are a promising technology for the 5G cellular networks. The significant improvements in the overall Communication System Performance is contributed by the large scale antenna systems. In massive MIMO systems wireless channels need to be estimated. An accurate estimation of channel is essential to ensure the improvement in energy and spectral efficiency of the system. In this paper, performance of practical channel estimators is analyzed for multi-user massive MIMO systems. The pilots are generated using Zadoff-Chu sequences. For the assessment of channel estimator Normalized Mean Square Error (NMSE) is used as one of the performance measurement metric. The effect of block length of data is observed in the data aided channel estimation and Channel estimation performance is analyzed for BPSK and QPSK signaling. The NMSE in case of Data aided channel estimation is less than that of MMSE channel estimation by 40% for QPSK signaling in the SNR range from 25 dB to 35 dB, whereas MF channel estimation yields 14% more NMSE in comparison with MMSE in the same SNR range.
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