Terminal Autoencoder Handover Latent Vector Signaling
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Solution Overview
Problem
The existing communication systems face challenges in efficiently managing handover processes due to increased signaling overhead and unreliable handover events, leading to unnecessary handovers and wastage of wireless resources.
Innovation Solution
The proposed solution involves a terminal and a serving cell that utilize an autoencoder-based method for handover. The terminal receives a measurement configuration, measures signals, and generates a latent vector from the measurement results using a neural network model. This latent vector is then used to determine whether to transmit a measurement report to the serving cell, thereby reducing unnecessary handovers and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the terminal transmits detailed measurement results to the serving cell for handover, then the handover decision accuracy is improved, but the signaling overhead increases
Solution Approach 1:
The patent extracts only the essential features of measurement results by encoding them into compact latent vectors using autoencoders. The encoder network processes full measurement data and outputs compressed latent representations that retain critical handover decision information while removing redundant details, thus reducing signaling overhead while maintaining decision accuracy.
Solution Approach 2:
The patent transforms measurement results from their original high-dimensional form into a different parameter space (latent space) through neural network encoding. This parameter transformation allows the same information to be represented more efficiently, reducing the amount of data that needs to be transmitted while preserving the essential characteristics needed for handover decisions.
2Productivity
If the terminal performs handover based on measurement events, then the mobility service is maintained, but unnecessary handovers occur due to low reliability in specific communication environments
Solution Approach 1:
The patent implements feedback mechanisms where the serving cell evaluates the decoded latent vectors and can provide feedback to the terminal about handover decision reliability. The system uses multiple measurement results encoded into latent vectors, allowing the serving cell to assess whether handover events are reliable before executing handover, thereby reducing unnecessary handovers while maintaining service continuity.
Solution Approach 2:
The patent performs preliminary encoding of measurement results into latent vectors before handover decision-making. By pre-processing measurement data through the encoder and potentially using a decoder to reconstruct or evaluate the latent representations, the system prepares reliable input for handover decisions in advance, filtering out unreliable measurement events before they trigger unnecessary handovers.
Data Source
AI summary
A terminal receives a measurement configuration from a serving cell, measures at least one received signal based on the measurement configuration, and confirms whether an event corresponding to the measurement configuration has occurred. Based on the confirming that the event has occurred, the terminal generates a latent vector by encoding a measurement result set including a plurality of measurement results, and in response to the occurrence of the event, transmits, to the serving cell, a measurement report generated based on the latent vector.