Adaptive Carrier Aggregation with Indexed Band Profiles

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Solution Overview

Problem

The increasing number of band combinations in 5G technology poses challenges for network operators and user equipment in achieving consistent quality of service and experience due to the overhead in managing potential combinations, with existing methods failing to efficiently select optimal frequency band combinations for carrier aggregation.

Innovation Solution

A system and method utilizing profiles and indices to determine and select appropriate frequency band combinations for carrier aggregation, employing machine learning and artificial intelligence to recommend candidate combinations, and incorporating a centralized or distributed computing architecture for efficient bandwidth allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If carrier aggregation is implemented to combine multiple frequency bands, then high-speed communication services are enabled, but signaling overhead and management complexity increase significantly

Engineering Contradiction:

Improvecommunication speedVSAvoidmanagement complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The patent segments the frequency band selection process by introducing index values that represent predefined band combination profiles. Instead of managing all possible band combinations directly, the system divides the complexity into discrete, manageable index categories that map to specific carrier aggregation configurations, thereby reducing signaling overhead while enabling high-speed communication.

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If all potential band combinations are managed, then comprehensive service coverage is achieved, but overhead for network operators increases

Engineering Contradiction:

Improveservice coverageVSAvoidoperator overhead

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The patent uses index values as simplified copies or representations of complex band combination profiles. Instead of transmitting and managing detailed configuration data for all potential band combinations, the system transmits compact index values that reference pre-defined profiles, thereby maintaining comprehensive service coverage while significantly reducing operator overhead and signaling traffic.

Inventive Principle:

Principle #26Copying

3Reliability

If machine learning is used to select optimal band combinations, then quality of service is enhanced, but processing time and computational resources increase

Engineering Contradiction:

Improvequality of serviceVSAvoidprocessing time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent applies machine learning algorithms in advance to pre-determine optimal band combination profiles for different service scenarios and user conditions. These pre-computed profiles are stored and referenced using index values during actual communication operations, thereby enhancing quality of service through intelligent selection while minimizing real-time processing time and computational resource requirements.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250274772A1Apparatuses and methods for facilitating adaptive, on-demand, and self-learning carrier aggregation based communications

Publication Date: 2025.08.28 AT&T INTELLECTUAL PROPERTY I L P

AI summary

Aspects of the subject disclosure may include, for example, obtaining a first index from a first user equipment, determining that the first index obtained from the first user equipment corresponds to a second index accessible to the device, resulting in a first determination, selecting, based on the first determination, a first frequency band combination referenced by the second index, and causing the first user equipment to utilize the first frequency band combination for CA based communications. Other embodiments are disclosed.