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Approximate linear minimum mean square error estimation based on channel quality indicator feedback in LTE systems


Citation

Abdulhasan, Muntadher Qasim and Salman, Mustafa Ismael and Ng, Chee Kyun and Noordin, Nor Kamariah and Hashim, Shaiful Jahari and Hashim, Fazirulhisyam (2013) Approximate linear minimum mean square error estimation based on channel quality indicator feedback in LTE systems. In: 2013 IEEE 11th Malaysia International Conference on Communications (MICC), 26-28 Nov. 2013, Kuala Lumpur, Malaysia. (pp. 446-451).

Abstract / Synopsis

The fast fading channel produced by the fast user mobility requires a powerful channel estimation to report the most accurate channel status. Such estimation techniques are usualy suffer from large number of computational processes, and thus, their complexity needs to be minimized. However, the calculation reliability of channel coefficients depends mainly on the accuracy of the channel estimation model. Therefore, obtaining a joint optimized solution for channel estimation error, feedback overhead, and complexity is very crucial. In this paper, two different channel estimation schemes; Linear Minimum Mean Square Error (LMMSE) and Approximate Linear Minimum Mean Square Error (ALMMSE) are used to calculate Channel Quality Indicator (CQI) and Precoding Matrix Indicator (PMI) in the 3GPP-LTE fast fading channel. It is found that, by using a low-complexity ALMMSE, the estimation error is reduced with relatively small reduction in throughput. Therefore, the proposed method is recommended to be used when the network is not fully loaded for better tradeoff concerning MSE and throughput taking into account the fixed and mobility scenarios, and thus, reliable transmission will be targeted.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/MICC.2013.6805871
Publisher: IEEE
Keywords: 3GPP LTE/ LTE-A; OFDM; Channel quality indicator (CQI); Precoding matrix indicator PMI; Channel estimation; ALMMSE
Depositing User: Nabilah Mustapa
Date Deposited: 09 May 2019 11:38
Last Modified: 09 May 2019 11:38
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/MICC.2013.6805871
URI: http://psasir.upm.edu.my/id/eprint/68197
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