Controllable CSI-RS Density for 5G Beamforming
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Solution Overview
Problem
Next generation mobile wireless communication systems, such as 5G, face challenges in achieving good coverage at high frequencies due to propagation characteristics, and existing CSI-RS designs lack flexibility to adapt to varying subcarrier spacings and deployment scenarios, limiting their effectiveness in both digital and analog beamforming.
Innovation Solution
A method to configure CSI-RS resources with adjustable density in both time and frequency domains, allowing for flexible port allocation and subsampling, enabling the CSI-RS framework to adapt to different use cases and deployment scenarios, thereby improving system performance across various sub-carrier spacings and frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CSI-RS density is increased to improve channel-state information measurement accuracy, then measurement precision improves, but resource overhead increases
Solution Approach 1:
The patent implements dynamic CSI-RS density adjustment where the density of CSI-RS resources is not fixed but can be varied according to channel conditions, deployment scenarios, and beamforming requirements. This allows the system to increase density when measurement accuracy is critical while reducing density when resources are constrained, resolving the contradiction between measurement precision and resource overhead
Solution Approach 2:
The patent applies different CSI-RS densities to different frequency bands, time resources, and beam directions based on local requirements. For example, higher density can be applied in frequency regions with rapid channel variations or in beam directions requiring precise channel state information, while lower density is used in regions with stable channels, thereby optimizing measurement accuracy where needed while minimizing overall resource overhead
2Adaptability or versatility
If CSI-RS framework is made flexible to adapt to varying subcarrier spacings and deployment scenarios, then adaptability improves, but device complexity increases
Solution Approach 1:
The patent achieves adaptability by introducing configurable parameters such as subsampling factors, density indicators, and resource allocation patterns that can be adjusted according to different subcarrier spacings and deployment scenarios. These parameter changes allow the CSI-RS framework to adapt to varying conditions without requiring fundamentally different structures, thereby improving adaptability while controlling complexity through standardized parameterization
Solution Approach 2:
The patent designs a universal CSI-RS framework that can serve multiple functions and deployment scenarios through a unified resource allocation mechanism. The same basic framework structure supports different subcarrier spacings, frequency bands, and beamforming configurations by adjusting resource allocation parameters, thereby achieving versatility without proportionally increasing device complexity
3Productivity
If CSI-RS density is adjusted for different use cases and deployment scenarios, then system performance improves, but control complexity increases
Solution Approach 1:
The patent implements dynamic control mechanisms that allow CSI-RS density to be adjusted in real-time based on system conditions, use case requirements, and deployment scenarios. This dynamic adjustment capability enables the system to optimize performance for different situations while the control complexity is managed through automated decision-making algorithms and pre-configured policies
Solution Approach 2:
The patent incorporates feedback mechanisms where channel state information measurements and system performance metrics are used to automatically adjust CSI-RS density configurations. This feedback-driven control allows the system to self-optimize for different use cases and deployment scenarios, improving system performance while reducing the need for manual control complexity
Data Source
AI summary
Methods and apparatus for configuring, in a network node of a wireless communication network, a reference signal resource used to perform channel-state information, CSI, measurements with one or more wireless devices. In an example method, a reference signal resource is aggregated in one or more of a frequency and a time domain, and a density characteristic of the aggregated reference signal resource that is to be transmitted to the one or more wireless devices is adjusted.