Uplink Power Control Optimization via Closed-Loop Feedback

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for setting uplink power parameters in LTE networks do not account for interference and user session performance, leading to suboptimal power transmission and poor user experience.

Innovation Solution

A closed-loop automation system that dynamically adjusts uplink power control parameters by observing current performance, predicting improvements, and making adjustments through APIs exposed at the base station, using a trained performance model to identify and quantify issues and optimize power settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If default power levels are broadcast for PUCCH and PUSCH, then device complexity is reduced and ease of operation is improved, but uplink signal quality and SINR deteriorate due to suboptimal power transmission

Engineering Contradiction:
Improveease of power parameter configurationVSAvoiduplink signal quality
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system enables self-service by allowing the network to automatically monitor uplink signal quality metrics (SINR, throughput) and autonomously adjust power parameters without requiring manual administrator intervention. The closed-loop system continuously optimizes power settings based on observed performance, making the system self-correcting and adaptive to changing conditions.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The invention implements feedback mechanisms where the system continuously monitors uplink signal quality metrics including SINR and throughput, compares actual performance against target thresholds, and uses this feedback to dynamically adjust power parameters. This closed-loop feedback ensures optimal power settings are maintained adaptively without manual intervention.

Inventive Principle:
Principle #23Feedback

2Ease of manufacture

If power parameters are set based on estimated path loss, then initial power configuration is simplified, but interference from various sources at the base station is not accounted for leading to poor SINR

Engineering Contradiction:
Improveease of power parameter settingVSAvoidinterference impact
Core Design Contradiction:
Ease of manufactureVSObject-affected harmful factors

Solution Approach 1:

The system dynamically changes power parameters (pZeroNominalPucch, pZeroNominalPusch, alpha) based on monitored performance metrics and calculated interference levels. Rather than using fixed parameters based solely on path loss estimates, the system continuously adjusts these parameters in response to changing interference conditions and signal quality measurements, optimizing performance adaptively.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention implements feedback mechanisms where the system continuously monitors uplink signal quality metrics including SINR and throughput, compares actual performance against target thresholds, and uses this feedback to dynamically adjust power parameters. This closed-loop feedback ensures optimal power settings are maintained adaptively without manual intervention.

Inventive Principle:
Principle #23Feedback

3Reliability

If administrators manually detect and adjust power settings, then service awareness and control are improved, but time consumption and operational complexity increase

Engineering Contradiction:
Improveservice quality controlVSAvoidtime for parameter adjustment
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system enables self-service by allowing the network to automatically monitor uplink signal quality metrics (SINR, throughput) and autonomously adjust power parameters without requiring manual administrator intervention. The closed-loop system continuously optimizes power settings based on observed performance, making the system self-correcting and adaptive to changing conditions.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The invention implements feedback mechanisms where the system continuously monitors uplink signal quality metrics including SINR and throughput, compares actual performance against target thresholds, and uses this feedback to dynamically adjust power parameters. This closed-loop feedback ensures optimal power settings are maintained adaptively without manual intervention.

Inventive Principle:
Principle #23Feedback

4Ease of operation

If pZeroNominalPucch is set to -115 dBm with interference power at -110 dBm, then power parameter configuration is straightforward, but uplink SINR deteriorates to only -5 dBm resulting in poor voice quality

Engineering Contradiction:
Improveease of power parameter configurationVSAvoidinterference impact
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The system dynamically changes power parameters (pZeroNominalPucch, pZeroNominalPusch, alpha) based on monitored performance metrics and calculated interference levels. Rather than using fixed parameters based solely on path loss estimates, the system continuously adjusts these parameters in response to changing interference conditions and signal quality measurements, optimizing performance adaptively.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention implements feedback mechanisms where the system continuously monitors uplink signal quality metrics including SINR and throughput, compares actual performance against target thresholds, and uses this feedback to dynamically adjust power parameters. This closed-loop feedback ensures optimal power settings are maintained adaptively without manual intervention.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11330451B2Service aware closed loop uplink power control optimization
Publication Date: 2022.05.10 VMWARE INC
  • US11330451B2 patent drawing
  • US11330451B2 patent drawing
  • US11330451B2 patent drawing

AI summary

A system can include an evaluation platform that applies models to improve the quality of experience of users impacted by uplink interference at a network cell, such as at a base station. For a user session at a cell, an expected performance with optimized uplink interference can be compared to an actual performance to determine whether the session is impacted. This can include iteratively increasing a hypothetical power parameter and determining uplink interference based on source and neighboring cells. When positively impacted sessions exceed a threshold, the platform can dynamically change the power parameter of the base station to reflect the hypothetical value.