Research Article
A Low-Complexity C-RS-Aided Channel Estimation Scheme for LTE Downlink System
@INPROCEEDINGS{10.4108/eai.7-8-2017.152993, author={Mohammed Zourob and Raveendra Rao}, title={A Low-Complexity C-RS-Aided Channel Estimation Scheme for LTE Downlink System}, proceedings={The 1st EAI International Conference on Smart Grid Assisted Internet of Things}, publisher={EAI}, proceedings_a={SGIOT}, year={2017}, month={8}, keywords={LTE LTE Advanced channel estimation C-RS-aided channel estimation Wiener interpolation OFDM.}, doi={10.4108/eai.7-8-2017.152993} }- Mohammed Zourob
Raveendra Rao
Year: 2017
A Low-Complexity C-RS-Aided Channel Estimation Scheme for LTE Downlink System
SGIOT
EAI
DOI: 10.4108/eai.7-8-2017.152993
Abstract
Abstract. 3GPP Long Term Evolution (LTE) downlink (DL) systems employ channel estimation algorithms in order to help with coherent detection. In this paper, we are proposing a new scheme for Cell-Specific Reference Signals (C-RS)-aided channel estimation, which is 2 1-D Wiener filtering with linear interpolation as a less computationally-complex option compared to 2-D Wiener filtering and interpolation. Moreover, we present mathematical equations that describe C-RS symbols extraction from the Resource Grids (RG) for antenna ports 0, 1, 2 and 3. Simulations shows that 2 1-D Wiener filtering with linear interpolation requires ~ 41% of the number of computations needed by 2-D Wiener filtering with linear interpolation. Moreover, simulations indicate that the best noise reduction method is a combination of both averaging and Wiener filtering with linear interpolation, where the lower bound is a function of both SNR and the channel statistics.
