Carrier Aggregation Policy via Channel Embedding Comparison
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Solution Overview
Problem
Existing mobile communication systems face challenges in efficiently allocating resources for carrier aggregation, which affects data throughput and battery life in user equipment (UE).
Innovation Solution
An apparatus and method that utilize channel measurement data to identify the closest reference channel measurement data, allowing for the determination of a carrier aggregation policy that optimizes secondary communication channels for improved data throughput and reduced latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional carrier aggregation resource allocation methods are used, then system complexity is reduced, but data throughput is insufficient
Solution Approach 1:
The patent creates a simplified copy of the complex carrier aggregation decision problem by using embedding outputs as compressed representations. Instead of processing full channel measurement datasets directly, the system uses lower-dimensional embedding outputs that capture essential channel characteristics, enabling fast carrier aggregation policy determination without reprocessing the entire measurement data.
Solution Approach 2:
The patent transforms the high-dimensional channel measurement data into lower-dimensional embedding outputs through a neural network encoder. This dimensionality reduction allows the system to maintain essential channel information while significantly reducing computational complexity for carrier aggregation decisions, resolving the contradiction between throughput optimization and system complexity.
2Productivity
If multiple secondary communication channels are allocated to increase data throughput, then productivity improves, but energy consumption increases
Solution Approach 1:
The patent changes the parameter space from raw channel measurement values to embedding output representations. This transformation enables the system to optimize the number and selection of secondary carriers more efficiently by working with compressed channel characteristics, thereby achieving higher throughput with fewer active carriers and reduced energy consumption.
Solution Approach 2:
The system uses embedding outputs as feedback representations of channel conditions to dynamically determine optimal carrier aggregation policies. By continuously updating and comparing embedding outputs with reference embeddings, the system can adaptively select the minimum necessary carriers to achieve target throughput, optimizing the energy-throughput tradeoff.
3Measurement precision
If additional channel measurements are performed to identify optimal carriers, then carrier selection accuracy improves, but measurement time increases
Solution Approach 1:
The patent performs preliminary action by pre-computing and storing reference embedding outputs for various channel conditions. When making carrier aggregation decisions, the system compares current channel measurements against these pre-computed references rather than performing comprehensive measurements in real-time, significantly reducing measurement time while maintaining accuracy.
Solution Approach 2:
The system creates a copy of the channel measurement process in the form of embedding outputs that capture essential channel characteristics in a compressed format. These embedding copies enable accurate carrier selection without requiring full spectral analysis, reducing measurement time while preserving selection precision.
Data Source
AI summary
An apparatus, method and computer program is described including: obtaining first channel measurement data for a primary component carrier used for communications between a device and a network node of a mobile communication system; providing the first channel measurement data as an input to an algorithm to obtain a first embedding output; comparing the first embedding output with embedding outputs of a plurality of reference channel measurement data input to said algorithm to identify a closest reference channel measurement data to the first channel measurement data; identifying a set of reference channel information associated with the identified closest reference channel measurement data, wherein the identified set of reference channel information includes a carrier aggregation policy defining one or more secondary communication channels; and setting a carrier aggregation policy for the primary component carrier in accordance with the carrier aggregation policy.