The efficient and highly accurate channel state informationat the base station is essential to achieve the potentialbenefits of massive multiple input multiple output-orthogonalfrequency division multiplexing (MIMO-OFDM) systems, due tolimitation of the pilot contamination problem. In this paper,we investigate the whitening rotation (WR) semi-blind channelestimation algorithm for multi-cell massive MIMO to addressthe pilot contamination problem through semi-blind approachesof hybrid scheme of pilot and blind to reduce the number ofthe required pilots. We also enhance the estimation accuracyby combining the proposed estimation technique with temporaldomain based channel estimation, i.e., the conventional discreteFurrier transform (DFT) based channel estimator. It has shownthat the performance of the WR semi blind estimator achievesa significantly lower Mean Square error (MSE) of estimationcompared to the conventional linear minimum mean square error(LMMSE). Also, the proposed scheme of the combined DFT andWR semi blind estimator is seen to have a significantly superiorperformance compared to LMMSE and WR semi blind estimators.
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