Wireless Network Measurement Delay for Reliable 5G Handovers
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Solution Overview
Problem
Existing wireless communication technologies face challenges in optimizing network performance due to inefficiencies in data collection and mobility management, leading to battery consumption, resource wastage, and unreliable handovers, particularly in 5G networks.
Innovation Solution
Implementing techniques for early measurement with adjustable delay times, reporting PSCell state during SCG failure, and enhancing mobility reporting with DAPS, CPAC, and CHO failure information to optimize network configuration and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If machine learning models are trained using only data from a single network slice, then training speed and resource efficiency are improved, but model accuracy and generalization capability deteriorate
Solution Approach 1:
The patent segments the training process into multiple stages: initial training on single-network slice data to establish baseline performance, followed by fine-tuning on multi-network slice data to enhance generalization. This segmentation allows the model to benefit from both fast initial training and improved accuracy through progressive exposure to diverse data distributions.
Solution Approach 2:
The patent applies preliminary action by pre-processing and curating multi-network slice training data in advance, organizing it into structured formats that can be efficiently consumed during training. This preliminary preparation reduces the computational burden during actual training while ensuring the model receives comprehensive, high-quality data for learning robust patterns.
2Measurement precision
If diverse multi-network slice data is used for training, then model generalization and accuracy are improved, but training time and computational resources increase
Solution Approach 1:
The patent performs preliminary data curation, augmentation, and preprocessing operations before training begins. This includes synthesizing additional training samples, normalizing data formats, and organizing multi-network slice data into efficient training structures, thereby reducing the actual training time while maintaining comprehensive data coverage.
Solution Approach 2:
The patent applies partial action by selectively focusing training resources on the most informative network slice combinations and data subsets. Rather than uniformly processing all possible data, the system identifies and prioritizes key data sources that provide maximum generalization benefit, reducing overall training time while maintaining model performance.
3Adaptability or versatility
If extensive data collection from multiple sources is performed, then data diversity and model performance are improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent implements a universal data collection framework that can accommodate multiple network slice types, data formats, and sources through a single standardized interface. This multi-functional architecture enables the system to handle diverse data inputs without requiring separate processing pipelines for each data source, thereby reducing system complexity while maintaining data diversity.
Solution Approach 2:
The patent employs parameter-based configuration to manage data collection from multiple sources. By using adjustable parameters and metadata to describe data characteristics, the system can dynamically adapt to different data sources and formats without structural changes, simplifying the implementation of diverse data collection while maintaining flexibility.
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AI summary
Techniques are described to improve performance of a wireless network and/or devices within the wireless network. For example, a wireless communication method comprises receiving, by a communication node at a first time, one or more delay values, where each delay value is indicative of amount of time by which a measurement is to be delayed, and performing the measurement at or after a third time, where the third time is based on a delay value from the one or more delay values and a second time when the communication node enters an idle state or an inactive state, where the first time precedes the second time in time, and where the second time precedes the third time in time