Scalar CSI Feedback Mechanism for Lower-Complexity 6G Transmission

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Solution Overview

Problem

The frequent modifications in CSI feedback mechanisms for each release of the NR standard require significant chipset implementation efforts, and the diverse scenarios in 6G networks, including various frequency bands and transceiver architectures, pose challenges for efficient CSI transmission.

Innovation Solution

A unified and configurable CSI feedback mechanism based on scalar quantization, allowing for quantized channel estimates to be obtained and transmitted, with optional compression, and the ability to switch between scalar and vector quantization based on signaling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If frequent modifications in CSI feedback mechanisms are implemented for each NR standard release, then CSI feedback performance is improved, but chipset implementation complexity increases significantly

Engineering Contradiction:
ImproveCSI feedback performanceVSAvoidchipset implementation complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies a unified CSI feedback mechanism that can operate in multiple quantization modes (scalar and vector) within a single standardized framework. This universal approach allows the same base mechanism to serve diverse scenarios including different frequency bands, transceiver architectures, and UE capabilities without requiring separate implementations for each case, thereby improving reliability while controlling complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces dynamic configurability where the network can signal whether scalar or vector quantization should be used based on current channel conditions, UE capabilities, and traffic requirements. This dynamic adaptation allows the system to optimize performance for specific scenarios without hardcoding multiple static mechanisms, reducing implementation complexity while maintaining high performance across diverse conditions.

Inventive Principle:
Principle #15Dynamics

2Adaptability or versatility

If diverse transceiver architectures and antenna arrays are supported in 6G networks, then network versatility is improved, but CSI transmission complexity increases

Engineering Contradiction:
Improvenetwork versatilityVSAvoidCSI transmission complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent changes the quantization parameter (scalar vs. vector) based on the specific transceiver architecture and antenna array configuration. By adjusting this fundamental parameter, the system can adapt to diverse scenarios such as hybrid beamforming, digital beamforming, 2D antenna arrays, and 3D antenna arrays without requiring fundamentally different CSI feedback mechanisms, thus maintaining versatility while controlling complexity.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent segments the CSI feedback process into distinct quantization stages (scalar quantization of channel estimates, optional compression, and feedback transmission). This segmentation allows each stage to be independently optimized for different transceiver architectures and antenna configurations, making the overall system more versatile and easier to implement across diverse 6G scenarios.

Inventive Principle:
Principle #1Segmentation

3Device complexity

If scalar quantization is used for CSI feedback, then computational complexity is reduced, but quantization accuracy may be limited compared to vector quantization

Engineering Contradiction:
Improvecomputational complexityVSAvoidquantization accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent dynamically selects between scalar and vector quantization based on signaling from the network, which considers current channel conditions, UE capabilities, and performance requirements. When computational complexity needs to be reduced (e.g., for lower-capability UEs), scalar quantization is used. When higher accuracy is required and complexity can be afforded, vector quantization is employed. This dynamic switching resolves the trade-off by allowing both approaches to be used optimally in different contexts.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260039353A1Scalar quantization based channel state information feedback mechanism
Publication Date: 2026.02.05 HUAWEI TECH CO LTD
  • US20260039353A1 patent drawing
  • US20260039353A1 patent drawing
  • US20260039353A1 patent drawing

AI summary

According to an aspect of the disclosure there is provided a method, in an apparatus, the method including: for each at least a subset of channel estimates, obtain a respective quantized channel estimate by quantizing the channel estimate using scalar quantization; wherein the channel estimates are obtained on channel state information reference symbols (CSI-RS) transmitted on a plurality of transmit antenna ports; and transmitting channel state information (CSI) based on the quantized channel estimates.