DocumentCode :
1850947
Title :
Channel estimation and ICI cancellation for LTE downlink in high-speed railway environment
Author :
Yan Feng ; Rongtao Xu ; Zhangdui Zhong
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
Volume :
2
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
1419
Lastpage :
1423
Abstract :
This paper evaluates the performance of channel estimation combining with inter-carrier interference (ICI) cancellation for Long Term Evolution (LTE) downlink in high speed railway environment. Winner II channel model and the D2a propagation scenario are selected to represent the channel. We first introduce the existing channel estimation algorithms that can be used in this scenario. To improve the estimation performance, a new estimation algorithms based on original channel estimation method is proposed, which aims at improving estimation accuracy of reference signal (RS) location. Then the ICI cancellation based on the improved method is introduced. Finally, the performance of the estimation methods in terms of throughput and their Mean Squared Error (MSE) are confirmed by theoretical analysis and simulation results in a LTE downlink transmission system. Our findings demonstrate that the proposed estimation algorithm outperform the conventional ones and the residual ICI after ICI cancellation based on the new algorithm will cause very low MSE which is almost negligible.
Keywords :
Long Term Evolution; channel estimation; intercarrier interference; interference suppression; mean square error methods; railway communication; D2a propagation scenario; ICI cancellation; LTE downlink transmission system; Long Term Evolution downlink; MSE; RS location; Winner II channel model; channel estimation algorithms; high-speed railway environment; intercarrier interference cancellation; mean squared error; reference signal location; Channel estimation; D2a; High-speed railway; ICI cancellation; LTE; OFDM; Winner II;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491842
Filename :
6491842
Link To Document :
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