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Hybrid Channel Estimation Technique with Reduced Complexity for LTE Downlink

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Abstract

This paper proposes a hybrid channel estimation (CE) method for orthogonal frequency division multiplexing technique for use in long-term evolution technology with application suitable for highly mobile devices, such as in passenger trains. This method, termed hybrid linear (HL) estimator, combines three different CE algorithms, namely, blocked-based least square (B-LS), fast fading-based LS (FF-LS), and linear minimum mean square error (LMMSE) estimators. This proposed estimation adaptively employs a given algorithm based on the mobility condition of the receiver. The computational complexity of HL estimator is reduced nearly to the half compared with LMMSE. The performance of proposed estimator is compared with the B-LS and FF-LS in terms of throughput and mean square error (MSE). Results show that the HL performs better than the B-LS and FF-LS in both MSE and throughput. The proposed method offers a good bit-error-rate for different velocities.

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Acknowledgments

The authors thank the Ministry of Science and Technology, Malaysia for providing finan-cial support for this work through the eScienceFund Grant 4S105 managed by the Research Management Center, Universiti Teknologi Malaysia and we would like also thank the anonymous reviewers for their insightful comments and suggestions to improve the quality of this paper.

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Authors and Affiliations

  1. Wireless Communication Centre, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia

    Ahmed M. Al-Samman, Solomon Nunoo, Tharek Abd. Rahman, Uche A. K. Chude-Okonkwo & Razali Ngah

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  1. Ahmed M. Al-Samman
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  2. Solomon Nunoo
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  3. Tharek Abd. Rahman
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  4. Uche A. K. Chude-Okonkwo
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  5. Razali Ngah
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Correspondence to Ahmed M. Al-Samman.

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Al-Samman, A.M., Nunoo, S., Rahman, T.A. et al. Hybrid Channel Estimation Technique with Reduced Complexity for LTE Downlink. Wireless Pers Commun 82, 1147–1159 (2015). https://doi.org/10.1007/s11277-015-2272-y

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