Analog Beamforming Codebook Transformation for Interference Mitigation
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Solution Overview
Problem
Existing wireless communication systems face challenges in managing interference and noise, which negatively impact the reliability and latency of directional beamforming communications, particularly in high-frequency bands like mmW and sub-terahertz frequencies.
Innovation Solution
The communication devices transform analog beamforming codebooks based on estimates of covariance matrices associated with interference and noise, either by rotating or scaling beam weights, to improve communication reliability and reduce latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If analog beamforming codebooks are used for directional communications in 5G systems, then communication directionality and spectral efficiency are improved, but interference and noise management becomes more difficult, affecting reliability and latency
Solution Approach 1:
The patent transforms analog beamforming codebooks by applying rotation and scaling operations based on estimated covariance matrices of interference and noise. This changes the parameters of the codebook (beam weights, directions) to adapt to varying interference conditions, thereby maintaining high spectral efficiency while improving reliability through better interference management
Solution Approach 2:
The codebook transformation is performed dynamically based on real-time estimation of interference and noise covariance matrices. The beamforming parameters are continuously adapted rather than being static, allowing the system to maintain optimal performance in changing wireless environments while managing interference effectively
2Reliability
If codebook transformation based on covariance matrix estimation is implemented, then interference mitigation and communication reliability are improved, but computational complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary estimation of the covariance matrix of interference and noise before applying codebook transformation. By preparing the transformation parameters in advance based on statistical estimates, the system achieves reliable interference mitigation while organizing computations in a structured manner that manages complexity
Solution Approach 2:
The patent uses estimated covariance matrices as simplified representations of complex interference environments to guide codebook transformation. Instead of directly processing raw interference signals, the system works with statistical copies (covariance matrices) that capture essential characteristics, reducing computational burden while maintaining effectiveness
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A communication device, such as a user equipment (UE) and a base station, for example, an eNodeB (eNB), a next-generation NodeB or a giga-NodeB (either of which may be referred to as a gNB) may support techniques for transformation of analog beamforming codebooks. The communication device may modify an analog beamforming codebook based on a covariance matrix associated with interference and noise in a wireless communication system. For example, the communication device may rotate the analog beamforming codebook based on the estimated covariance matrix, or scale one or more beam weights associated with the analog beamforming codebook based on the estimated covariance matrix, or both. The communication device may thereby perform wireless communication with another communication device in the wireless communication system using the modified analog beamforming codebook.