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Channel-dependent scheduling of transmission of data packets in a wireless system is based onmeasurement and feedback of the channel quality. To alleviate the performance degradation due tosimultaneous multiple imperfect channel quality information (CQI), a simple and efficient packetscheduling (PS) algorithm is developed in downlink LTE system for real time traffic. A frequency domainchannel predictor based on Kalman filter is first developed to restore the true CQI from erroneous channelquality feedback. Then, a time domain grouping technique employing the joint of Proportional Fair (PF)and Modified Largest Weighted Delay First (M-LWDF) algorithms is used. It was proved this proposalachieves better performance in terms of system throughput and packet loss ratio by simulation results

Frequency and Time Domain Packet Scheduling Based on Channel Prediction with Imperfect CQI in LTE