Measurement Gap Handover Control for Continuous Wireless Links
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Solution Overview
Problem
Existing wireless communication systems face disconnection issues due to measurement gaps, which hinder seamless handovers between different frequencies and radio access technologies, and there is a need for improved methods to control the length of measurement gaps effectively.
Innovation Solution
A method and device that utilize a probability distribution model to determine the length of measurement gaps and perform handovers based on signal quality values, enabling seamless transitions between cells and radio access technologies by configuring and managing measurement gaps using a weighted signal quality value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If measurement gap is used for handover between different frequencies and RATs, then handover capability is improved, but communication disconnection occurs
Solution Approach 1:
The system performs measurements on adjacent cells during measurement gaps before handover is needed. The probability distribution model is updated in advance based on these measurements, enabling the terminal to predict which target cell is most likely to provide successful handover, thus preparing the handover path before disconnection occurs
Solution Approach 2:
The system continuously updates the probability distribution model based on measurement results from previous measurement gaps. This feedback mechanism allows the terminal to learn from past measurement outcomes and improve handover decisions, reducing disconnection by selecting target cells with higher predicted success probability
2Reliability
If measurement gap length is increased to improve measurement accuracy, then handover reliability is improved, but communication interruption time increases
Solution Approach 1:
Instead of using a fixed measurement gap length, the system dynamically adjusts the measurement gap configuration based on the probability distribution model and measurement requirements. The base station can configure different measurement gap patterns (e.g., periodicity, duration) according to the predicted handover scenario, optimizing the balance between measurement accuracy and communication interruption
Solution Approach 2:
The system performs measurements on multiple adjacent cells during the measurement gap, not just the single target cell. By measuring multiple cells and using probability distribution to identify the most promising target, the system achieves reliable handover information gathering within a shorter measurement gap duration
Data Source
AI summary
The present disclosure relates to performing a handover by considering battery efficiency in a wireless communication system, and a method of operating a terminal may include receiving measurement configuration information including information on a measurement gap and information on an expected target cell from a base station, performing measurement on at least one adjacent cell including the expected target cell during the measurement gap, transmitting a measurement report including a signal quality value for the expected target cell to the base station, and transmitting information related to an update of the probability distribution model after performing a handover to another base station determined by the base station.