Carrier Aggregation Band Selection from UE and Base Station Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current carrier aggregation configurations in network systems are inefficient, leading to overloading of some component carriers while others remain underutilized, resulting in reduced throughput and spectral inefficiency for user equipment (UEs).
Innovation Solution
Determine carrier aggregation configurations based on UE capabilities and network capabilities, using device data such as per call measurement data to identify make, model, and software combinations, and prioritize component carriers to optimize load distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If carrier aggregation configuration is based on generalized network parameters without UE-specific data, then network configuration simplicity is maintained, but spectral efficiency and throughput are reduced due to inefficient carrier utilization
Solution Approach 1:
The system performs preliminary analysis of UE capabilities and network carrier characteristics before establishing carrier aggregation configurations. By pre-evaluating which UEs can support which carrier combinations based on stored capability data, the system optimizes carrier selection in advance, improving throughput without requiring complex real-time configuration calculations during active communication.
Solution Approach 2:
The system dynamically adjusts carrier aggregation parameters by changing from static, generalized configurations to dynamic, UE-specific configurations. By modifying configuration parameters based on individual UE capabilities, network conditions, and carrier characteristics, the system optimizes throughput for each UE while maintaining manageable system complexity through parameterized approaches.
2Productivity
If component carriers are allocated without considering UE capabilities and network load, then configuration simplicity is maintained, but spectral efficiency deteriorates due to overload on some carriers and underutilization on others
Solution Approach 1:
The system implements feedback mechanisms where UE capability information and network carrier performance data are continuously collected and used to optimize carrier aggregation configurations. By analyzing feedback about which carriers are overloaded or underutilized and adjusting configurations accordingly, the system improves spectral efficiency while the automated feedback loop handles the operational complexity.
Solution Approach 2:
The system applies different carrier aggregation strategies to different UEs based on their individual capabilities and requirements. Instead of uniform configuration, each UE receives customized carrier selection and aggregation parameters tailored to their specific hardware capabilities, software version, and performance needs, thereby optimizing spectral efficiency for each local user scenario.
3Productivity
If carrier aggregation is configured using only network data without device data, then configuration speed is maintained, but throughput optimization is limited due to lack of UE capability information
Solution Approach 1:
The system segments the data collection and processing into manageable components: UE capability data is collected and stored separately, network carrier characteristics are maintained as separate parameters, and these segmented data are then combined to generate optimized configurations. This segmentation allows efficient processing and reduces the complexity of handling large volumes of comprehensive UE and network data together.
Data Source
AI summary
A carrier aggregation platform may obtain device data regarding first UEs associated with a geographical area and determine a data distribution of make and model combinations of the first UEs. The platform may analyze the data distribution to identify one or more make, model and/or software combinations that satisfy a threshold and determine carrier aggregation capabilities of UEs of the one or more make and model combinations. The platform may determine, based on the carrier aggregation capabilities, one or more combinations of frequency bands and a number of downlinks for the frequency bands. The platform may obtain network data indicating a carrier aggregation capability of a base station associated with the geographical area. The platform may determine carrier aggregation information based on the carrier aggregation capability, the one or more combinations of frequency bands, and the number of downlinks. Second UEs may be configured based on the carrier aggregation information.