CQI Prediction for Shadow Fading in LTE-compatible GEO Mobile Satellite Communications System

DOI

10.2991/iccia.2012.150How to use a DOI?

Keywords

CQI, AMC, GEO, ARIMA, Kalman

Abstract

CQI(Channel Quality Indicator) is an essential indicator for AMC(Adaptive Modulation and Coding) technique in LTE. Due to the long delay of GEO satellite channel, CQI prediction is necessary to ensure effective AMC in LTE-compatible GEO mobile satellite communications system. The complete procedure and problem encountered when doing AMC in satellite system are introduced and the difficulties of prediction are analyzed. In order to obtain meaningful and feasible CQI prediction results, a complete prediction scheme is proposed. By using approximate CQI data which is smoothed and with only shadow fading influence, various prediction models are compared. Taking both computation complexity and prediction performance into account, two models, ARIMA (Autoregressive Integrated Moving Average) and Kalman filter are chosen to be applied in this scheme. Simulation results show that the prediction performance is very well with the proposed method, which can surely guarantee AMC performance.

Copyright

© 2013, 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  - Yadan Zheng
AU  - Mingke Dong
AU  - Ye Jin
AU  - Jianjun Wu
PY  - 2014/05
DA  - 2014/05
TI  - CQI Prediction for Shadow Fading in LTE-compatible GEO Mobile Satellite Communications System
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 623
EP  - 626
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.150
DO  - 10.2991/iccia.2012.150
ID  - Zheng2014/05
ER  -