The 1st EAI International Conference on Smart Grid Assisted Internet of Things

Research Article

A Low-Complexity C-RS-Aided Channel Estimation Scheme for LTE Downlink System

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  • @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
Mohammed Zourob1,2,*, Raveendra Rao1,2
  • 1: Faculty of Engineering, Department of Electrical and Computer Engineering,
  • 2: The University of Western Ontario, London, ON, Canada, N6A 3K7
*Contact email: mzourob@uwo.ca

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.