关键词: 3GPP长期演进, 无线资源调度, 信道质量指示预测, 神经网络

Abstract:

Using the available outdated channel quality indicator (CQI), an optimized long term evolution downlink resource allocation method is proposed. The key is a neural network based on CQI prediction model and algorithm, which can predict the current CQI from the outdated CQIs. The scheduler uses the predicted CQI to allocate radio resources and decide on proper modulation and coding scheme. Simulation shows that the proposed prediction model and algorithm have practical effects on solving the degradation of scheduling efficiency due to the outdated CQI.

Key words: 3GPP long term evolution, radio resource scheduling, channel quality indicator prediction, neural network