Low complexity channel estimation in 3D MIMO systems

Considering the three dimensional (3D) channel with elevation effect, a two dimensional (2D) antenna array was employed in a generic ray-based 3D multi-input multi-output (MIMO) system. Through utilizing the channel spatial correlation between antennas at the transmitter side, we propose a cascaded MMSE channel estimation with low computational complexity. Numerical results show that the proposed cascaded MMSE channel estimation has comparable MSE and BER performances with traditional MMSE channel estimation with significantly decrease in computational complexity. The results also demonstrate that the channel estimation in spatial domain can be decomposed into horizontal domain and vertical domain.

[1]  Jing Xu,et al.  Low Complexity Compressed Sensing Based Channel Estimation in 3D MIMO Systems , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[2]  Sergey Loyka,et al.  On Capacity-Maximizing Angular Densities of Multipath in MIMO Channels , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[3]  Jianhua Zhang,et al.  Pilot aided channel estimation for 3D MIMO-OFDM systems with planar transmit antennas and elevation effect , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[4]  Sinem Coleri Ergen,et al.  Channel estimation techniques based on pilot arrangement in OFDM systems , 2002, IEEE Trans. Broadcast..

[5]  Gunther Auer,et al.  Bandwidth efficient 3D pilot design for MIMO-OFDM , 2010, 2010 European Wireless Conference (EW).

[6]  Jianhua Zhang,et al.  Pilot Aided 3D Channel Estimation for MIMO-OFDM Systems , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[7]  Hüseyin Arslan,et al.  MIMO-OFDM Channel Estimation for Correlated Fading Channels , .

[8]  Adit Kurniawan,et al.  Low complexity partial sampled MMSE channel estimation for downlink OFDMA IEEE 802.16e system , 2009, 2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS).

[9]  Fredrik Tufvesson,et al.  Polarized MIMO channels in 3-D: models, measurements and mutual information , 2006, IEEE Journal on Selected Areas in Communications.

[10]  Dawei Ying,et al.  Kronecker product correlation model and limited feedback codebook design in a 3D channel model , 2014, 2014 IEEE International Conference on Communications (ICC).