Digital Post-Distortion Correction Using Spatial Basis Functions
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Solution Overview
Problem
In wireless communication systems, particularly in 5G and LTE networks, the challenge lies in efficiently decoding downlink communications with digital post-distortion (DPoD) correction, especially when non-square precoding is applied, which can obstruct the user equipment (UE) from tracking channel responses to each antenna port, leading to communication errors and resource wastage.
Innovation Solution
The method involves the user equipment (UE) obtaining spatial basis functions associated with antenna ports of the network node through downlink signaling, allowing for DPoD correction based on these functions, which reduces the complexity of channel estimation and enables correct decoding of downlink communications by projecting eigenvectors of the antenna correlation matrix.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-square precoding is applied to increase spectral efficiency, then spectral efficiency is improved, but channel tracking accuracy deteriorates
Solution Approach 1:
The patent introduces spatial basis functions as an intermediary representation that bridges the gap between non-square precoding and channel tracking. Instead of directly tracking channels to each antenna port, the UE uses spatial basis functions to represent the channel response, enabling accurate channel estimation even when the number of antenna ports exceeds the number of layers.
Solution Approach 2:
The patent changes the parameter representation from direct antenna port channels to spatial basis function coefficients. By transforming the channel representation into a reduced-dimensional spatial basis function space, the system maintains tracking accuracy while supporting non-square precoding configurations that improve spectral efficiency.
2Strength
If digital post-distortion correction is applied to enable high power transmission, then signal strength is improved, but decoding complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-obtaining spatial basis functions through downlink signaling before the actual channel estimation and decoding process. This preparation step enables the UE to efficiently perform DPoD correction without excessive computational complexity during real-time operation.
Solution Approach 2:
The patent transforms the complex channel estimation problem into a more manageable form by changing parameters to spatial basis function representations. This parameter transformation reduces the computational burden of DPoD correction while maintaining the ability to correct power amplifier distortions and enable high power transmission.
3Measurement precision
If channel estimation is performed for each antenna port individually, then measurement accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent merges the individual antenna port channel estimations into a unified spatial basis function representation. Instead of separately estimating channels for each antenna port, the system combines them into a reduced-dimensional spatial basis function space, reducing processing complexity while maintaining estimation accuracy through the use of spatial correlation information.
Solution Approach 2:
The spatial basis functions serve as a universal representation that captures the essential channel characteristics across multiple antenna ports. This universal representation enables the system to handle multiple antenna ports with a single set of basis functions, reducing processing complexity while maintaining the ability to accurately represent channel responses.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive downlink signaling configured to support obtaining spatial basis functions associated with antenna ports of a network node. The UE may receive a downlink communication from the network node, the receiving the downlink communication including decoding the downlink communication using digital post-distortion (DPoD) correction that is based at least in part on the spatial basis functions. Numerous other aspects are described.