In LTE (Long Term Evolution)-Advanced system, a transparent MU-MIMO (Multi-User Multiple-Input Multiple Output) scheduling is basically considered, so the performance degradation in channel estimation may occur due to the unpredictable interference from co-scheduled layers. In order to detect and mitigate the interference, traditional binary hypothesis testing based interference detection method and iterative channel estimation method can be applied. However, there are two major problems. First, the binary hypothesis testing based interference detection is not suitable solution for LTE-Advanced system which has four dynamically changing interference hypotheses. Second, the conventional iterative operation does not guarantee sufficient performance gain with limited iteration time due to the estimation error in initial estimation stage. To overcome these problems, we introduce an enhanced iterative channel estimation method which considers simple matrix operation-based partial interference estimation. Based on the outcomes of the partial interference estimation, we can not only detect interference layers individually, but also partially eliminate the interference in initial channel estimation stage. Consequently, the proposed method can effectively mitigate the interference adaptively to the dynamically changing interference condition.
Won-Jun HWANG
Sungkyunkwan University
Jun-Hee JANG
Sungkyunkwan University
Seong-Woo AHN
Samsung Electronics Co. Ltd.
Hyung-Jin CHOI
Sungkyunkwan University
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Won-Jun HWANG, Jun-Hee JANG, Seong-Woo AHN, Hyung-Jin CHOI, "An Interference-Robust Channel Estimation Method for Transparent MU-MIMO Transmission in LTE-Advanced System" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 7, pp. 1412-1421, July 2014, doi: 10.1587/transcom.E97.B.1412.
Abstract: In LTE (Long Term Evolution)-Advanced system, a transparent MU-MIMO (Multi-User Multiple-Input Multiple Output) scheduling is basically considered, so the performance degradation in channel estimation may occur due to the unpredictable interference from co-scheduled layers. In order to detect and mitigate the interference, traditional binary hypothesis testing based interference detection method and iterative channel estimation method can be applied. However, there are two major problems. First, the binary hypothesis testing based interference detection is not suitable solution for LTE-Advanced system which has four dynamically changing interference hypotheses. Second, the conventional iterative operation does not guarantee sufficient performance gain with limited iteration time due to the estimation error in initial estimation stage. To overcome these problems, we introduce an enhanced iterative channel estimation method which considers simple matrix operation-based partial interference estimation. Based on the outcomes of the partial interference estimation, we can not only detect interference layers individually, but also partially eliminate the interference in initial channel estimation stage. Consequently, the proposed method can effectively mitigate the interference adaptively to the dynamically changing interference condition.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.1412/_p
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@ARTICLE{e97-b_7_1412,
author={Won-Jun HWANG, Jun-Hee JANG, Seong-Woo AHN, Hyung-Jin CHOI, },
journal={IEICE TRANSACTIONS on Communications},
title={An Interference-Robust Channel Estimation Method for Transparent MU-MIMO Transmission in LTE-Advanced System},
year={2014},
volume={E97-B},
number={7},
pages={1412-1421},
abstract={In LTE (Long Term Evolution)-Advanced system, a transparent MU-MIMO (Multi-User Multiple-Input Multiple Output) scheduling is basically considered, so the performance degradation in channel estimation may occur due to the unpredictable interference from co-scheduled layers. In order to detect and mitigate the interference, traditional binary hypothesis testing based interference detection method and iterative channel estimation method can be applied. However, there are two major problems. First, the binary hypothesis testing based interference detection is not suitable solution for LTE-Advanced system which has four dynamically changing interference hypotheses. Second, the conventional iterative operation does not guarantee sufficient performance gain with limited iteration time due to the estimation error in initial estimation stage. To overcome these problems, we introduce an enhanced iterative channel estimation method which considers simple matrix operation-based partial interference estimation. Based on the outcomes of the partial interference estimation, we can not only detect interference layers individually, but also partially eliminate the interference in initial channel estimation stage. Consequently, the proposed method can effectively mitigate the interference adaptively to the dynamically changing interference condition.},
keywords={},
doi={10.1587/transcom.E97.B.1412},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - An Interference-Robust Channel Estimation Method for Transparent MU-MIMO Transmission in LTE-Advanced System
T2 - IEICE TRANSACTIONS on Communications
SP - 1412
EP - 1421
AU - Won-Jun HWANG
AU - Jun-Hee JANG
AU - Seong-Woo AHN
AU - Hyung-Jin CHOI
PY - 2014
DO - 10.1587/transcom.E97.B.1412
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2014
AB - In LTE (Long Term Evolution)-Advanced system, a transparent MU-MIMO (Multi-User Multiple-Input Multiple Output) scheduling is basically considered, so the performance degradation in channel estimation may occur due to the unpredictable interference from co-scheduled layers. In order to detect and mitigate the interference, traditional binary hypothesis testing based interference detection method and iterative channel estimation method can be applied. However, there are two major problems. First, the binary hypothesis testing based interference detection is not suitable solution for LTE-Advanced system which has four dynamically changing interference hypotheses. Second, the conventional iterative operation does not guarantee sufficient performance gain with limited iteration time due to the estimation error in initial estimation stage. To overcome these problems, we introduce an enhanced iterative channel estimation method which considers simple matrix operation-based partial interference estimation. Based on the outcomes of the partial interference estimation, we can not only detect interference layers individually, but also partially eliminate the interference in initial channel estimation stage. Consequently, the proposed method can effectively mitigate the interference adaptively to the dynamically changing interference condition.
ER -