Predictive Power Headroom Reporting for Low-Latency Uplink Control

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Solution Overview

Problem

Existing techniques for power headroom report (PHR) in 5G NR systems introduce latency in uplink power control due to reliance on estimated path loss thresholds, exacerbating delays in uplink transmission adjustments.

Innovation Solution

Calculating path loss based on predicted channel metrics to generate a predictive power headroom report (PHR) that indicates power headroom at a future time instance, reducing latency in uplink power control.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If path loss is calculated based on estimated path loss thresholds, then the system maintains simplicity in power control, but latency increases in uplink transmission adjustments

Engineering Contradiction:
Improvelatency in uplink power controlVSAvoidresponsiveness in uplink transmission
Core Design Contradiction:
Loss of timeVSProductivity

Solution Approach 1:

The patent applies preliminary action by predicting channel metrics (such as path loss) at a future time instance before actual transmission occurs. The network entity calculates predicted path loss based on current channel conditions and projects them forward in time, allowing the UE to prepare power headroom reports in advance. This proactive approach eliminates waiting time for actual channel measurements at the future time instance, thereby reducing latency in uplink power control while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

2Loss of time

If predictive channel metrics are used for PHR, then latency in uplink power control is reduced, but calculation complexity increases

Engineering Contradiction:
Improvelatency in uplink power controlVSAvoidcalculation complexity for path loss
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent applies parameter changes by transforming the approach from using actual measured channel metrics at future time instances to using predicted metrics derived from current measurements. The network entity changes the parameter representation from raw measured values to projected values based on prediction algorithms (such as linear extrapolation or machine learning models). This allows the system to work with simplified predictive parameters rather than complex real-time measurements, reducing computational burden while maintaining the latency benefits of prediction.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20260040233A1Apparatuses and user equipment for power headroom report based on time-domain predicted channel metric
Publication Date: 2026.02.05 QUALCOMM INC
  • US20260040233A1 patent drawing
  • US20260040233A1 patent drawing
  • US20260040233A1 patent drawing

AI summary

Certain aspects relate to power headroom report (PHR) based on a predicted channel metric. For example, an apparatus may obtain, from a network entity, a reference signal and a configuration indicating a set of one or more parameters. The apparatus may calculate a path loss based on a predicted channel metric of the reference signal. The apparatus may generate a power headroom report (PHR) based on at least one of the set of one or more parameters, a set of one or more conditions, or the calculated path loss, wherein the PHR indicates at least a power headroom (PH) at a future time instance. The apparatus may output the PHR for transmission to the network entity, the output being based on the set of one or more conditions.