Handover Control Using Trend Prediction to Stabilize Wireless Links
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Solution Overview
Problem
Conventional handover control apparatuses in communication systems for movable bodies, such as vehicles, experience frequent and unnecessary handovers due to instantaneous reception level measurements, leading to unstable wireless communication and reduced throughput, especially in multi-path environments where reception levels fluctuate drastically.
Innovation Solution
A handover control apparatus that stores reception history data and uses approximation equations to determine the transition trend and stability of reception levels from both serving and adjacent stations, selecting a target station with an upturn and stable trend for handover only when the serving station's reception level is in a downturn and lower than the target station's, thereby minimizing unnecessary handovers and ensuring stable communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If handover control is performed based on instantaneous reception level, then handover response speed is improved, but handover stability deteriorates due to frequent unnecessary handovers
Solution Approach 1:
The system performs preliminary actions by storing reception history data and calculating approximation equations in advance. Before making a handover decision, the system predicts future reception levels using these pre-calculated equations, allowing it to anticipate signal degradation and perform handover proactively rather than reactively to instantaneous fluctuations.
Solution Approach 2:
The system cushions against unnecessary handovers by using trend prediction to identify genuine signal degradation patterns. By comparing predicted future reception levels against handover thresholds, the system filters out transient fluctuations and only triggers handover when a sustained downward trend is confirmed, thus cushioning against premature or unnecessary handover actions.
2Reliability
If handover is performed frequently to maintain reception quality, then communication quality is improved, but communication throughput deteriorates due to handover interruptions
Solution Approach 1:
The system implements feedback by continuously monitoring reception levels, storing historical data, and using approximation equations to predict future trends. This feedback mechanism allows the system to make informed handover decisions based on predicted quality degradation rather than reacting to current fluctuations, thereby maintaining communication quality while minimizing unnecessary handovers that would interrupt throughput.
3Productivity
If handover threshold is lowered to prevent unnecessary handover, then handover frequency is reduced, but handover timing deteriorates causing communication interruption
Solution Approach 1:
The system changes the parameter from using instantaneous reception level to using predicted future reception level based on approximation equations. This parameter transformation allows the system to maintain an appropriate handover threshold while accurately identifying when handover is truly necessary, thus preventing both premature and delayed handover decisions.
Data Source
AI summary
A handover control apparatus selects, as a target station, an adjacent station having an upturn and stable transition trend of reception level of a radio wave received by a radio, when necessity to carry out handover is determined, and performs handover for switching from a serving station to the target station when the transition trend of the reception level of the received radio wave from the serving station is in a downturn trend and a calculation value of a serving station approximation equation is smaller than a calculation value of an adjacent station approximation equation at a determination timing.


