Mobile Data Rate Prediction with Grid-Based MCS and MIMO Mapping

The patent applies preliminary action by pre-determining MCS and MIMO layer configurations based on estimated reception quality values before actual real-time measurement is available. The system divides the coverage area into grid regions, estimates reception quality for each region in advance, and pre-determines the appropriate MCS index and MIMO layers for each region. This allows data rate prediction to be made before the mobile terminal actually performs real-time channel measurements, resolving the contradiction between prediction timing and accuracy.

The patent applies local quality by determining transmission formats and MIMO layers specifically for each grid region based on local reception quality estimates. Instead of using a uniform approach across the entire coverage area, the system divides the area into multiple grid regions and optimizes MCS and MIMO configurations for each individual region according to its specific channel conditions. This allows the system to maintain simple fixed RB assignment while achieving adaptive data rates through localized transmission parameter optimization.

The patent applies segmentation by dividing the base station's coverage area into multiple discrete grid regions. For each region, the system independently estimates reception quality and determines transmission parameters. This segmentation approach allows the complex task of predicting data rates across the entire coverage area to be broken down into manageable regional units, reducing overall computational complexity while maintaining comprehensive consideration of transmission parameters including MCS, MIMO layers, and RB allocation for each region.