Channel Quality Approximation Based on Shadow Fading Model in GEO Mobile Satellite System

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. This paper proposes the approximation from real CQI data containing small scale fading to that containing only large scale fading to do prediction. The concrete correlation features and the difference between the approximation and the original data are all analyzed. Simulation is done for confirmation. It shows that the approximate large scale CQI data is feasible and rational for prediction and ensuring AMC efficiency.

• Periodical: Advanced Materials Research (Volumes 791-793)
• Pages: 1941-1944
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.791-793.1941
• Online since: September 2013
• Authors: Ya Dan Zheng, Ming Ke Dong, Jian Jun Wu
• Keywords: AMC, Approximation, CQI, GEO Satellite

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