Hybrid Beamforming With Vandermonde Precoding for Lower Feedback Overhead
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently determining and reporting hybrid beamforming (HBF) types and precoders to reduce feedback overhead while maintaining performance, particularly in massive MIMO systems.
Innovation Solution
The proposed solution involves a WTRU determining preferred HBF types and precoders based on preconfigured parameters, constraints such as payload size, SNR, and channel conditions, and reporting these to a base station using methods that constrain analog beamformers to a Vandermonde structure to reduce feedback overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If hybrid beamforming types and precoders are determined and reported to reduce feedback overhead, then feedback overhead is reduced, but the complexity of determining and reporting the preferred HBF type increases
Solution Approach 1:
The patent changes the parameter space by constraining analog beamformers to a Vandermonde structure, which reduces the feedback overhead from reporting full precoder matrices to reporting only a set of angles. This parameter transformation resolves the contradiction by maintaining beamforming performance while significantly reducing feedback requirements.
Solution Approach 2:
The patent uses codebook-based approaches where preconfigured sets of Vandermonde beamformers are stored and selected based on channel conditions. Instead of computing and reporting full precoders, the system copies preconfigured beamformer matrices from the codebook, reducing feedback overhead while maintaining performance.
2Reliability
If adaptive selection of HBF types is implemented to maintain performance, then performance is maintained or improved, but processing time and computational complexity increase
Solution Approach 1:
The patent preconfigures multiple HBF types with different parameters (e.g., number of RF chains, analog beamformer structures) before actual communication occurs. During operation, the system simply selects from preconfigured options based on channel conditions, avoiding the need for complex real-time computation while maintaining adaptive performance.
Solution Approach 2:
The system dynamically switches between different HBF types based on changing channel conditions and performance requirements. This dynamic adaptation allows the system to optimize performance for different scenarios without requiring complete re-computation, as the framework supports flexible switching between preconfigured HBF types.
Data Source
AI summary
Disclosed is a system and method implemented in a wireless transmit/receive unit (WTRU) for hybrid beamforming (HBF) in a wireless environment. The WTRU may be configured to receive an indication associated with enabling an HBF Type recommendation and/or receive a configuration associated with HBF processing. The WTRU may determine a channel matrix associated with a sub-band, determine one or more feedback overhead information, and/or determine one or more HBF precoders. The WTRU may determine a preferred HBF type based on a preconfigured set of parameters that is associated with the configuration related to HBF processing, and/or determine a set of Vandermonde phases based on the preconfigured set of parameters that is associated with the configuration related to HBF processing. The WTRU may report HBF information and/or angles associated with quantization information to a base station. The WTRU may receive a second configuration.