Adaptive Statistical based Channel Estimation for Massive Multiple-Input Multiple-Output system

Massive Multiple Input Multiple Output (MIMO) is considered to be one of the most emerging technologies to achieve high data rate and better efficiency compared to that of multiuser MIMO (MU-MIMO). The major challenge of this technique is the pilot contamination, which arises mainly due to non-orthogonal property of the pilot sequences. To reduce this pilot contamination and to accurately estimate the channel, we propose an adaptive statistical based channel estimator which estimates the channel statistics in consideration with mobility of the user. The system performance is evaluated in terms of normalized mean square error, energy efficiency and throughput. The simulation results shows that the proposed channel estimation achieves better performance with that of the existing channel estimation.