DFT-based Channel Estimation Techniques for Massive MIMO Systems

Hayder Al-Salihi, Mohammad Reza Nakhai, Tuan Anh Le
2018 2018 25th International Conference on Telecommunications (ICT)  
In massive MIMO systems, efficient and highly accurate channel state information (CSI) at the base station are essential requirements for tackling the effect of pilot contamination to achieve the potential benefits of the systems. In this paper, we propose two discrete Fourier transform (DFT)-based channel estimation techniques for massive MIMO systems. The proposed methods mitigate the pilot contamination significantly via modifying the DFT-based estimation through iterations and most
more » ... nt (MST) approaches. The simulation results obtained through these approaches demonstrated the effectiveness of the DFT-based channel estimation techniques in alleviate/eliminate the pilot contamination when compared to conventional channel estimators, in terms of channel estimation accuracy and achievable uplink rate.
doi:10.1109/ict.2018.8464829 dblp:conf/ict/Al-SalihiNL18 fatcat:ej52utvfavch3pwsfio5i7jnna