Packet Scheduling in LTE with Imperfect CQI

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Networking
Format: PDF
In this paper, a Kalman filter based packet scheduling scheme with low complexity is proposed for LTE downlink system to adapt to various imperfect channel states. A channel quality predictor based on Kalman filter is developed to estimate the current Channel Quality Information (CQI) from previous CQI value and observed CQI value, and a grouping method is employed to cover the gaps caused by Kalman filter. Based on the simulation results, the estimated CQI values from the channel quality predictor are rather close to the realistic CQI values.

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