A LTE downlink scheduling based on CQI predicted by neural network

作者：Wu Bin^*; Mi Zheng Kun; Wang Wen Nai; Lu Yuan Chen; Zhu Ze Wen

来源：Journal of Beijing University of Posts and Telecommunications, 2013, 36(6): 45-49.

DOI：10.13190/j.jbupt.2013.06.010

• 3gpp long term evolutions
• Channel Quality Indicator
• Channel quality indicators
• Downlink scheduling
• Long Term Evolution (LTE) downlink
• Modulation and coding schemes
• Radio resources
• Scheduling efficiencies

Using the available outdated channel quality indicator (CQI), an optimized long term evolution downlink resource allocation method is proposed. The key is a neural network based on CQI prediction model and algorithm, which can predict the current CQI from the outdated CQIs.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prediction model and algorithm have practical effects on solving the degradation of scheduling efficiency due to the outdated CQI.

• 出版日期2013-12
• 单位南京邮电大学