Virtual pilot signal for massive MIMO-OFDM systems

A technology exploiting large number of antennas into the wireless transceiver, often called massive MIMO technology, has been received great attention in recent years. The benefits of this approach, however, can be realized only when the quality of estimated channel is ensured at both transmitter and receiver. In this paper, we propose a new channel estimation technique dealing with the pilot shortage in the massive MIMO systems. In a nutshell, we employ reliable data tones obtained from the iterative deteciton and decoding (IDD) as well as pilot signals in the estimation of channels. We show that the proposed method achieves substantial performance gain over conventional approaches employing pilot signals exclusively.

[1]  Andrew C. Singer,et al.  Efficient Soft-Input Soft-Output Tree Detection via an Improved Path Metric , 2011, IEEE Transactions on Information Theory.

[2]  Andrew C. Singer,et al.  Soft input channel estimation for turbo equalization , 2004, IEEE Transactions on Signal Processing.

[3]  Geoffrey Ye Li,et al.  Simplified channel estimation for OFDM systems with multiple transmit antennas , 2002, IEEE Trans. Wirel. Commun..

[4]  Byonghyo Shim,et al.  Soft-Input Soft-Output List Sphere Detection with a Probabilistic Radius Tightening , 2012, IEEE Transactions on Wireless Communications.

[5]  Yongzhe Xie,et al.  Two EM-type channel estimation algorithms for OFDM with transmitter diversity , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[6]  Lajos Hanzo,et al.  Parallel-interference-cancellation-assisted decision-directed channel estimation for OFDM systems using multiple transmit antennas , 2005, IEEE Transactions on Wireless Communications.

[7]  Stephan ten Brink,et al.  Achieving near-capacity on a multiple-antenna channel , 2003, IEEE Trans. Commun..