Complementary CSI Reporting for Confident AI Beam Prediction

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Solution Overview

Problem

Millimeter wave (mmW) systems face challenges with narrow beamforming and sensitivity to blockage, impacting coverage and reliability, and existing AI/ML-based beam management systems have low confidence due to insufficient channel state information (CSI) reports with coarse temporal granularity, leading to inaccurate beam predictions.

Innovation Solution

Implementing complementary channel state information (CSI) reports with improved temporal granularity, such as L1-reference signal received power (RSRP) or L1-SINR variation, and spatial domain correlations, to enhance the confidence level of AI/ML-based beam prediction models, reducing overhead and latency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If existing AI/ML-based beam management systems use coarse temporal granularity CSI reports, then device complexity is reduced, but measurement precision and reliability of beam predictions deteriorate

Engineering Contradiction:

Improvesystem complexityVSAvoidbeam prediction accuracy

Core Design Contradiction:

Device complexityVSMeasurement precision

Solution Approach 1:

The patent segments the beam management process by introducing two types of CSI reports: periodic/semi-periodic reports for baseline monitoring and complementary reports with finer temporal granularity for enhanced prediction. This segmentation allows the system to maintain lower complexity operations while periodically enhancing measurement precision when needed for beam predictions.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements partial action by selectively requesting complementary CSI reports only when beam prediction confidence is insufficient or when channel conditions warrant enhanced monitoring. This approach provides measurement precision enhancement only when necessary, rather than continuously, thereby balancing complexity and accuracy requirements.

Inventive Principle:

Principle #16Partial or excessive action

2Measurement precision

If complementary CSI reports with improved temporal granularity are implemented, then beam prediction accuracy is improved, but overhead and latency increase

Engineering Contradiction:

Improvebeam prediction accuracyVSAvoidreporting latency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent employs periodic action by implementing semi-periodic CSI reporting mechanisms where complementary reports are requested at intervals based on beam prediction confidence levels and channel condition changes. This periodic enhancement provides improved measurement precision without requiring continuous fine-grained reporting, thereby controlling latency and overhead.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The patent dynamically changes the temporal granularity parameter of CSI reporting based on operational needs. The system adjusts between coarse granularity (periodic reports) and fine granularity (complementary reports) by modifying reporting parameters such as time intervals and trigger conditions, optimizing the balance between prediction accuracy and latency.

Inventive Principle:

Principle #35Parameter changes

3Reliability

If more frequent CSI reports are requested, then beam prediction confidence is improved, but network overhead increases

Engineering Contradiction:

Improvebeam prediction confidenceVSAvoidsignal overhead

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent applies partial action by requesting complementary CSI reports only when specific conditions are met, such as when beam prediction confidence falls below a threshold or when channel conditions indicate potential degradation. This selective reporting provides enhanced reliability only when necessary, reducing overall network overhead compared to continuous fine-grained reporting.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent implements feedback mechanisms where the base station evaluates beam prediction confidence and channel conditions, then dynamically adjusts the frequency and granularity of complementary CSI report requests. This feedback-driven approach ensures that enhanced reporting occurs only when it provides value for improving prediction confidence, thereby optimizing the trade-off between reliability and overhead.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260019119A1Complementary information report for predictive beam management

Publication Date: 2026.01.15 QUALCOMM INC

AI summary

Aspects of the present disclosure relate to artificial intelligence/machine learning (AI/ML) beam management system in millimeter wave (mmW) wireless communications systems for beam prediction to communicate between base station and user equipment (UE). The beam management system may utilize a plurality of complimentary channel state information (CSI) reports transmitted from the UE to the base station within a time domain (TD) window that compliments persistent or semi-persistent CSI-reports to improve the confidence level of the beam predictions by the AI/ML beam management system.