Handover List Optimization for 5G Mobile Devices
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Solution Overview
Problem
In the context of 5G wireless communication, moving communication devices such as buses or trains face challenges in avoiding undesired connections with different cells, leading to frequent and potentially disruptive handovers between communication entities.
Innovation Solution
A method for user equipment (UE) and cells to improve handover lists by obtaining and sharing dynamic information about the environment and movement states, allowing for the generation of an improved handover list that avoids undesired switching by prioritizing suitable communication devices based on connection parameters like signal quality and mobility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user equipment continuously monitors and switches between available cells based on signal strength, then connection quality is maintained, but unnecessary handovers occur causing network instability
Solution Approach 1:
The system performs preliminary actions by having the network side predict future signal conditions and proactively modify the handover list before unnecessary handovers occur. The network predicts which cells will become unavailable or unsuitable in the near future and removes them from the handover list in advance, preventing the user equipment from attempting handovers to these cells.
Solution Approach 2:
The system implements feedback mechanisms where the network side continuously monitors signal conditions, cell availability, and user equipment movement patterns. This feedback information is used to dynamically adjust the handover list, adding suitable cells and removing unsuitable ones based on real-time network conditions and predicted future states.
2Adaptability or versatility
If user equipment maintains a comprehensive handover list with all available cells, then connection options are maximized, but handover decisions become complex and disruptive
Solution Approach 1:
The system extracts only the necessary and suitable cells from the complete list of available cells to create an optimized handover list. The network side evaluates all available cells and selectively includes only those that are predicted to be suitable for handover, removing cells that would cause unnecessary handovers or connection disruptions.
Solution Approach 2:
The handover list is customized with local quality characteristics specific to each user equipment's situation. Instead of providing a uniform comprehensive list to all devices, the network generates tailored handover lists based on individual user equipment movement patterns, current location, and predicted trajectory, making the list optimally suited for each device's specific context.
Data Source
AI summary
A method for user equipment connected to a cell for improving a handover list including obtaining information about communication devices in an environment and generating the handover list, transmitting the handover list to the cell and transmitting dynamic information about an own state to the cell, and receiving an improved handover list from the cell.