Dynamic PRG Sizing for QR Decomposition in Wireless Precoding
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently applying QR decomposition due to its high non-linearity and complexity, especially when combined with decimation techniques, leading to catastrophic degradation and error floors.
Innovation Solution
Implementing dynamic precoding resource block group (PRG) sizes for QR decomposition, allowing for dynamic PRG size configurations and calculations, which can be adjusted via downlink control information, to reduce complexity and improve performance by enabling dynamic decimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If QR decomposition is applied with fixed PRG size, then processing can be simplified, but performance degrades due to inability to adapt to varying channel conditions
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed PRG size to a dynamic PRG size that can be adjusted based on channel conditions. The network node determines the PRG size dynamically and signals it to the UE, allowing the system to adapt to varying channel conditions while managing processing complexity at each endpoint.
2Adaptability or versatility
If dynamic PRG size is implemented, then adaptability to channel conditions improves, but processing complexity increases at the UE
Solution Approach 1:
The patent extracts the complexity of dynamic PRG size determination from the UE by having the network node perform this function. The network node calculates and signals the appropriate PRG size to the UE, thereby removing the most complex processing task from the UE while still enabling adaptive performance.
3Speed
If QR decomposition with decimation is used, then processing speed improves, but error floors appear due to catastrophic degradation
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the PRG size parameter to optimize the balance between processing speed and reliability. By changing the PRG size based on channel conditions, the system can achieve faster processing when conditions permit while maintaining reliability through more conservative sizes when needed, avoiding the error floors associated with fixed decimation approaches.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an indication of a dynamic precoding resource block group (PRG) size UE capability. The UE may receive, in accordance with the dynamic PRG size UE capability, a dynamic PRG size configuration. The UE may receive, in accordance with the dynamic PRG size configuration, an indication of a dynamic PRG size of a PRG that contains a plurality of resource elements (REs) associated with a common Q matrix derived from a QR decomposition. The UE may receive data using the dynamic PRG size. Numerous other aspects are described.


