Adaptive Handover Modeling for Delayed Command Failures
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Solution Overview
Problem
Existing handover mechanisms in wireless communication systems suffer from handover failures due to delayed handover commands and unnecessary handover preparations when channel quality of the serving cell fades slowly, leading to system performance degradation.
Innovation Solution
Adaptive determination of handover conditions using a handover model constructed with model parameters, allowing for flexible adjustment of handover parameters based on real-time channel environment changes, reducing unnecessary handover preparations and improving system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a pre-configured threshold-based handover mechanism is used, then handover preparation and resource reservation can be triggered, but unnecessary handover preparations occur when channel quality fades slowly, degrading system performance
Solution Approach 1:
The patent applies dynamics by transitioning from a static pre-configured threshold to a dynamic handover model that adapts to real-time channel conditions. The model parameters are updated based on current channel quality measurements, allowing the handover triggering conditions to change dynamically according to the actual fading rate and channel environment, thereby avoiding unnecessary handovers while maintaining reliability.
Solution Approach 2:
The patent changes the parameters used for handover decision-making from fixed network-configured thresholds to adaptive model parameters that reflect current channel conditions. By updating parameters such as handover threshold values based on measured fading rates and channel quality, the system adjusts its behavior to match actual network conditions, preventing premature or unnecessary handovers.
2Loss of time
If measurement reporting is triggered based on fixed thresholds, then handover preparation can be initiated, but the terminal device waits for a period of time before receiving handover command, causing handover failure when source cell channel quality is poor
Solution Approach 1:
The patent applies preliminary action by having the network device perform handover preparation and resource reservation in advance based on predictive handover models. Instead of waiting for fixed threshold violations, the system proactively prepares handover resources when the model predicts imminent need, reducing the waiting period and ensuring handover commands are available before channel quality deteriorates further.
Solution Approach 2:
The patent implements feedback mechanisms where measurement results and channel quality information are continuously fed back to the network device. This feedback enables the handover model to be updated with real-time conditions, allowing for more accurate prediction of when handover is needed and ensuring timely preparation of handover resources, thereby reducing delay and improving success rate.
3Productivity
If adaptive handover model is implemented, then unnecessary handover preparations are reduced, but device complexity increases due to model parameters and real-time adjustments
Solution Approach 1:
The patent applies self-service by enabling the handover system to automatically adjust its own parameters based on measured channel conditions without requiring complex external control. The network device autonomously updates model parameters and handover thresholds using real-time measurements, making the system self-regulating and reducing the need for complex manual configuration or external management.
Data Source
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AI summary
A wireless communication method and device. The method comprises: a first node determines information of at least one cell according to first indication information, wherein the first indication information is used for indicating model parameters.