Adaptive MCS Table Selection for 5G Network Nodes

The patent implements dynamic MCS table configuration where the network node can switch between different MCS tables (e.g., Table 4 and Table 5) based on real-time performance data such as channel quality indicator (CQI) reports, signal-to-interference-plus-noise ratio (SINR), and throughput measurements. This dynamic adaptation allows the system to transition from static capability-based configuration to performance-driven configuration, optimizing spectral efficiency while maintaining compatibility.

The patent changes the configuration parameter from fixed capability-based selection to dynamic performance-based selection. By monitoring performance metrics like CQI, SINR, and throughput, the network node adjusts the MCS table configuration parameter to select the most appropriate table (Table 4 for lower order modulation or Table 5 for 256-QAM) based on current channel conditions and user equipment performance, rather than solely on device capabilities.

The patent segments the MCS configuration space into multiple tables (Table 4 and Table 5) with different modulation and coding characteristics. Table 4 is optimized for lower order modulation schemes while Table 5 supports 256-QAM and higher spectral efficiency. The network node selectively applies different tables to different user equipment or different time/frequency resources based on performance data, thereby increasing network capacity without requiring all devices to support all configurations.

The patent implements a feedback mechanism where user equipment periodically reports channel quality indicator (CQI) and other performance metrics to the network node. The network node uses this feedback information to dynamically select the appropriate MCS table configuration. This closed-loop feedback system enables the network to adapt to changing channel conditions and optimize network capacity while managing configuration complexity through automated decision-making based on reported metrics.