Dynamic Tuning Matching Network for Duplex Performance

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Solution Overview

Problem

Current communication devices face challenges in achieving optimal antenna matching for duplex operation and carrier aggregation, leading to compromises in performance due to the need to balance transmit and receive operations simultaneously, especially in full-duplex systems where both operations must occur concurrently.

Innovation Solution

A communication device with a closed-loop tuning system that dynamically adjusts the weighting between transmit and receive matching performance based on real-time conditions, using a processor to select and adjust tuning states and reference metrics to optimize matching network performance, allowing for optimal duplex or carrier aggregation operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a fixed tuning state is used for duplex operation, then device complexity is reduced, but matching performance deteriorates due to inability to optimize for both transmit and receive operations simultaneously

Engineering Contradiction:
Improvetuning system complexityVSAvoidmatching performance
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent implements dynamic tuning by switching between different tuning states (first tuning state for transmit, second tuning state for receive) based on operational mode. The tuning system transitions from static to dynamic operation, allowing optimal matching performance for both transmit and receive operations while maintaining manageable device complexity through automated control.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent employs a closed-loop feedback mechanism where the controller monitors operational conditions and automatically adjusts the tuning state accordingly. This feedback system ensures optimal matching performance is maintained without requiring complex manual intervention, resolving the contradiction between simplicity and performance.

Inventive Principle:
Principle #23Feedback

2Reliability

If dynamic tuning is implemented to optimize matching performance, then reliability improves, but device complexity increases due to additional tuning mechanisms and control systems

Engineering Contradiction:
Improvematching performanceVSAvoidtuning system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent designs a universal tuning system that handles multiple functions (transmit tuning, receive tuning, carrier aggregation) through a single integrated controller and tuning mechanism. This multi-functional approach improves matching performance across different operational modes while avoiding the complexity increase that would result from separate tuning systems for each function.

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

Solution Approach 2:

The patent optimizes matching performance by changing tuning parameters (inductance, capacitance) based on operational conditions. The controller adjusts these parameters dynamically to achieve optimal matching for transmit, receive, and carrier aggregation modes, improving reliability without requiring complex mechanical adjustments.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If separate tuning states are used for transmit and receive operations, then matching performance for each operation is improved, but ease of operation deteriorates due to the need to manage multiple tuning states

Engineering Contradiction:
Improvematching performanceVSAvoidtuning management
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent implements self-service operation where the controller automatically selects and switches between first and second tuning states based on the operational mode (transmit or receive). This eliminates the need for manual tuning management, maintaining optimal matching performance while preserving ease of operation through automated control.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The closed-loop feedback system continuously monitors the operational state and automatically adjusts the tuning configuration accordingly. This feedback mechanism ensures optimal matching performance is maintained without requiring user intervention to manage multiple tuning states, resolving the contradiction between performance and ease of operation.

Inventive Principle:
Principle #23Feedback

4Productivity

If carrier aggregation is implemented to increase bandwidth, then productivity is improved, but matching performance deteriorates due to the need to balance multiple frequency operations

Engineering Contradiction:
Improvebandwidth utilizationVSAvoidmatching performance
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements dynamic tuning for carrier aggregation by switching between first, second, and third tuning states corresponding to different operational scenarios. The system dynamically adjusts the matching network to optimize performance across multiple aggregated carriers, maintaining high productivity while ensuring reliable matching performance through automated adaptation.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent optimizes carrier aggregation performance by changing tuning parameters to accommodate multiple frequency operations. The controller adjusts inductance and capacitance values to achieve optimal matching across aggregated carriers, resolving the contradiction between increased bandwidth utilization and maintained matching performance.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP3276839B1Method and apparatus for dynamic tuning
Publication Date: 2024.03.20 NXP USA INC
  • EP3276839B1 patent drawingFigure 1
  • EP3276839B1 patent drawingFigure 2
  • EP3276839B1 patent drawingFigure 3~4

AI summary

A system that incorporates teachings of the subject disclosure may include, for example, adjusting a matching network utilizing a weighted tuning state resulting in a tuning where the weighted tuning state is determined from applying a weighting factor to multiple tuning states that are predetermined tuning states based on increasing performance associated with types of operation, comparing a measured performance metric to a weighted reference metric resulting in a comparison where the weighted reference metric is determined from applying the weighting factor to multiple reference metrics that are predetermined expected metrics based on the increasing performance associated with the types of operation, and responsive to a first determination that the measured performance metric satisfies a threshold according to the comparison, continuing the tuning utilizing the weighted tuning state. Other embodiments are disclosed.