Wireless Node Trajectory Prediction for Handover Optimization
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Solution Overview
Problem
The current measurement report-based handover mechanism in wireless communication systems often results in incorrect target node selection, leading to issues like wrong or premature handovers, ping-pong handovers, and resource allocation inefficiencies due to inaccurate location information and lack of predictive data.
Innovation Solution
A method where nodes acquire and share information on trajectory prediction, data usage, quality of service, and quality of experience of user equipment, enabling informed decisions on handovers, resource allocation, and positioning to improve handover success rates and resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If measurement report-based handover mechanism is used, then handover decisions can be made, but incorrect target node selection occurs leading to wrong or premature handovers
Solution Approach 1:
The system performs trajectory prediction in advance to determine future location of the UE. The network node acquires trajectory prediction information indicating a predicted location of the UE at a prediction time, which is used to make handover decisions before the actual handover event occurs. This preliminary action prevents wrong target node selection by knowing where the UE will be located.
Solution Approach 2:
Trajectory prediction information acts as an intermediary between current measurement reports and future handover decisions. The network node uses this intermediate predictive data to bridge the gap between current UE location and future handover timing, enabling more accurate target node selection without relying solely on real-time measurement reports.
2Productivity
If measurement report-based handover mechanism is used, then handover can be executed, but ping-pong handovers occur due to lack of predictive data
Solution Approach 1:
The system determines a prediction time for the UE location that is earlier than the actual handover execution time. By making handover decisions based on predicted future location rather than current location, the system avoids premature handovers and reduces ping-pong effects, improving handover stability while maintaining execution speed.
Solution Approach 2:
The network node continuously monitors UE trajectory and updates handover decisions based on predicted location changes. This feedback mechanism allows the system to adjust handover timing and target node selection dynamically, preventing unstable ping-pong handovers by considering the UE's movement trend.
3Productivity
If traditional handover mechanism without predictive information is used, then system complexity is low, but resource allocation efficiency is poor
Solution Approach 1:
The network node acquires trajectory prediction information in advance to determine optimal handover timing and target node. This allows proactive resource allocation at the target node before the UE actually arrives, improving resource allocation efficiency by preparing resources ahead of time rather than reacting to handover requests.
Solution Approach 2:
Trajectory prediction information serves as an intermediary that enables efficient resource allocation without requiring complex real-time coordination. The prediction data allows the network node to make informed decisions about resource allocation, target node selection, and handover timing, improving overall system efficiency with moderate additional complexity.
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a first node in a wireless communication system is provided. The method includes acquiring information related to at least one of trajectory prediction of user equipment, data usage prediction of the user equipment, quality of service and/or quality of experience prediction and/or reporting of a second node and/or a user equipment, or positioning of the user equipment, and performing a corresponding operation based on the information.