UE Configuration Selection for Fast Carrier Aggregation Validation
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Solution Overview
Problem
The challenge in new radio (NR) and long-term evolution (LTE) networks is efficiently determining user equipment (UE) configurations within a short time frame, considering the complex interdependence of UE capabilities and network configurations, especially for carrier aggregation, while accounting for changing conditions and UE capabilities.
Innovation Solution
A method for UE configuration determination involves generating and validating candidate configurations (CUECs) by comparing weights, starting with a minimum configuration and iteratively adding cells or MIMO layers, ensuring the UE supports the configuration, and terminating early if conditions are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all possible UE configurations are validated against UE capabilities, then the optimal configuration can be found, but the time required for configuration determination becomes excessively long
Solution Approach 1:
The patent applies preliminary action by generating candidate UE configurations in a predetermined order based on expected throughput before validation. This allows the system to prioritize and validate only the most promising configurations first, rather than validating all possible configurations equally, thus reducing overall determination time while still finding optimal configurations.
Solution Approach 2:
The patent implements partial action by validating only a subset of candidate configurations rather than all possible configurations. The validation process stops early when a configuration meeting the throughput criterion is found, avoiding unnecessary validation of lower-priority configurations and significantly reducing the time required.
2Adaptability or versatility
If the NW validates UE capabilities for all possible feature combinations, then the most beneficial configuration can be selected, but the complexity of the validation process increases significantly
Solution Approach 1:
The patent segments the configuration space into multiple candidate configurations ordered by expected throughput. Instead of handling all possible feature combinations simultaneously, the system divides them into prioritized groups and validates them sequentially, reducing the complexity of the validation process while maintaining adaptability.
Solution Approach 2:
The patent introduces dynamics by making the validation process adaptive and iterative. The system validates configurations dynamically based on their expected throughput and the results of previous validations, adjusting the validation scope in real-time rather than following a static exhaustive approach.
3Productivity
If early termination of validation is implemented, then the configuration determination time is reduced, but the risk of missing the optimal configuration increases
Solution Approach 1:
The patent applies preliminary action by pre-ordering candidate configurations based on expected throughput before validation begins. This ensures that the most promising configurations are validated first, making early termination safe because the highest-priority candidates have already been evaluated, thus maintaining reliability while improving efficiency.
Solution Approach 2:
The patent implements feedback by using the validation results of each configuration to inform subsequent validation decisions. The system continuously updates its understanding of UE capability support based on previous validation outcomes, allowing it to make informed decisions about early termination while ensuring the optimal configuration is not missed.
Data Source
AI summary
A method for user equipment, UE, configuration determination for a UE connected in a radio communication network is presented. The method is performed in a base station, BS, and comprises determining a minimum candidate user equipment configuration, CUEC, wherein the CUEC comprises a special cell, SpCell, the SpCell providing connection with the UE, validating the determined minimum CUEC against capabilities of the UE, selecting a successfully validated determined minimum CUEC as a current CUEC, generating a next CUEC and comparing the generated next CUEC with the current CUEC, validating the next CUEC against the capabilities of the UE when the next CUEC has a higher weight than the current CUEC, selecting a successfully validated next CUEC as the current CUEC, and configuring the UE in accordance with the current CUEC. A BS, a distributed unit, a computer program and a computer program product for UE configuration determination are also presented.