Data Fitting-based SNR estimation algorithm for the Adaptive Transmission

DOI

10.2991/icmmita-16.2016.209How to use a DOI?

Keywords

SNR estimation; adaptive transmission; parameter estimation; data fitting.

Abstract

Adaptive transmission system selects the suitable transmission rate on the basis of the current channel state. In this paper, we exploit the signal to noise ration (SNR) as a benchmark of standard to measure the channel state. We employ data fitting (DF) to estimate SNR, which is a key technology of the adaptive transmission, and we change the transmission rate according to the estimation of SNR. The proposed algorithm can obtain a low computational complexity and can have performance improvement of SNR estimation. The superiority of the proposed algorithm is revealed by simulations.

Copyright

© 2017, 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  - Zezhou Sun
AU  - Chenghua Wang
AU  - Xiaofei Zhang
PY  - 2017/01
DA  - 2017/01
TI  - Data Fitting-based SNR estimation algorithm for the Adaptive Transmission
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.209
DO  - 10.2991/icmmita-16.2016.209
ID  - Sun2017/01
ER  -