Title :
Channel estimation for LTE and LTE-A MU-MIMO uplink with a narrow transmission band
Author :
Chih-Ying Chen ; Lin, David W.
Author_Institution :
Dept. of Electron. Eng. & Inst. of Electron., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
The 3GPP LTE and LTE-A standards provide for multi-user multi-input multi-output (MU-MIMO) transmission in the uplink. But the property of reference signals (RSs) is such that care must be exercised in channel estimation to minimize the interference among different antenna channels. Typical DFT- and DCT-based channel estimation methods have low complexity but may yield relatively high inter-channel interference, especially when user equipments (UEs) are allocated narrow transmission bands. Methods that can attain better channel separation often have much higher computational requirements. In this paper, we propose an MU channel estimation technique that seeks to minimize an L1 norm of error. It does not need second-order statistics as the linear minimum mean-square error (LMMSE) technique, has good numerical properties, and yields a performance between the least-square (LS), the DFT, and the LMMSE techniques.
Keywords :
3G mobile communication; Long Term Evolution; MIMO communication; adjacent channel interference; antennas; channel estimation; discrete Fourier transforms; discrete cosine transforms; least mean squares methods; multiuser channels; 3GPP LTE; DCT-based channel estimation methods; DFT-based channel estimation methods; LMMSE technique; LTE-A MU-MIMO uplink; LTE-A standards; MU channel estimation technique; antenna channels; channel separation; interchannel interference; linear minimum mean-square error; multiuser multi-input multi-output transmission; narrow transmission bands; reference signals; user equipments; Channel estimation; Complexity theory; Discrete Fourier transforms; Estimation; OFDM; Signal to noise ratio; Uplink; Channel estimation; L1-norm; LTE; LTE-A; MU-MIMO; uplink;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854853