Type II CSI Compression With Layer-Specific Coefficient Reporting

The patent applies local quality by assigning different numbers of coefficients and different quantization schemes to different layers based on their specific channel conditions. Specifically, layers with higher channel gains are allocated more coefficients and finer quantization schemes, while layers with lower channel gains use fewer coefficients and coarser quantization schemes. This layer-specific differentiation resolves the contradiction by optimizing beam configuration accuracy locally for each layer without uniformly increasing feedback overhead across all layers.

The patent changes the parameters of coefficient quantity and quantization scheme precision dynamically based on layer index and channel gain conditions. The system adjusts these parameters adaptively - using more coefficients and higher precision quantization for important layers (higher gain) and fewer coefficients with lower precision for less critical layers. This parameter adaptation resolves the contradiction by matching resource allocation to actual channel conditions, improving accuracy where needed while reducing overhead where less precision is sufficient.

The patent applies local quality by differentiating coefficient allocation across layers based on their channel gain characteristics. Instead of uniformly increasing coefficients for all layers, the system locally optimizes by allocating more coefficients only to layers that require higher precision (those with higher channel gains), while using fewer coefficients for layers where lower precision is acceptable. This resolves the contradiction by achieving necessary CSI accuracy locally for critical layers without universally increasing feedback payload size and latency.

The patent changes the coefficient quantity parameter adaptively based on layer-specific channel conditions. The system dynamically adjusts the number of coefficients allocated to each layer according to channel gain measurements, using more coefficients when high accuracy is needed and fewer coefficients when lower accuracy suffices. This adaptive parameter change resolves the contradiction by achieving adequate CSI accuracy with minimized feedback payload, thereby reducing latency.

The patent applies local quality by assigning different quantization schemes to different layers based on their channel gain characteristics. Layers with higher channel gains use finer quantization schemes to maintain beam formation precision, while layers with lower channel gains use coarser quantization schemes. This layer-specific quantization approach resolves the contradiction by optimizing precision locally for each layer's actual channel conditions rather than applying a uniform scheme that would either over-complexify the system or under-perform for certain layers.

The patent changes the quantization scheme parameter adaptively based on layer index and channel gain. The system selects different quantization precision levels for different layers, using higher precision quantization for layers requiring accurate beam formation and lower precision for less critical layers. This adaptive parameter change resolves the contradiction by achieving necessary beam formation precision where needed while reducing overall system complexity through coarser quantization elsewhere.