An Improved SRS Noise Estimation Algorithm Based on Interference Cancellation

DOI

10.2991/ameii-15.2015.10How to use a DOI?

Keywords

LTE;SRS;Interference Cancellation;Noise Estimation

Abstract

This thesis studies SRS noise estimation method with multi-users in the Long Term Evolution(LTE), and proposes a Discrete Fourier Transform (DFT) time-domain filtering algorithm based on interference cancellation. By calculating signal power in the system protecting band, decision threshold of time domain filtering can be denoted. Therefore, one can reduce the impact of noise on the useful signal within the window, and also obtain a more accurate noise estimation. Simulation results show that either in the case of single-user or multi-user, the proposed algorithm can get good performance. At the same time, the algorithm can accurately reflect the impact in neighborhood interference on each band channel quality, so as to achieve the frequency domain resource selective scheduling effectively.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Kewen Liu
AU  - Weiwei Tian
AU  - Mingyue Wang
AU  - Xianglin Chen
AU  - Jihua Gong
PY  - 2015/04
DA  - 2015/04
TI  - An Improved SRS Noise Estimation Algorithm Based on Interference Cancellation
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 63
EP  - 68
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.10
DO  - 10.2991/ameii-15.2015.10
ID  - Liu2015/04
ER  -