UE Mobility Prediction for Reliable Base Station Handover
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in handover procedures due to inadequate prediction of user equipment (UE) mobility, leading to suboptimal handover decisions and potential service disruptions.
Innovation Solution
Implementing UE mobility prediction to determine candidate base stations and transmit indications of probabilities and timings for handover procedures, enabling more informed handover decisions by both UE and serving base stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional handover procedures are used without mobility prediction, then the handover process is simpler and faster to execute, but handover decisions are suboptimal leading to service disruptions
Solution Approach 1:
The system performs preliminary mobility prediction and identifies candidate base stations before the actual handover occurs. The UE determines candidate base stations based on predicted mobility patterns and transmits this information to the serving base station in advance, allowing the network to prepare handover parameters and make more reliable handover decisions.
Solution Approach 2:
The system cushions against potential handover failures by providing the serving base station with predicted mobility information and candidate base station list before handover execution. This allows the network to prepare contingency plans and select optimal target base stations, reducing the risk of service disruptions during handover.
2Productivity
If mobility prediction information is transmitted to the serving base station, then handover decisions become more accurate and efficient, but the communication overhead and processing requirements increase
Solution Approach 1:
The system extracts only the essential mobility prediction information needed for handover optimization. The UE determines a concise list of candidate base stations based on mobility prediction and transmits only this relevant information to the serving base station, avoiding transmission of excessive data while still enabling improved handover efficiency.
Solution Approach 2:
The system applies partial action by transmitting mobility prediction information selectively - only when it will genuinely improve handover decisions. The UE evaluates whether mobility prediction data should be reported based on whether it provides meaningful insight for handover optimization, avoiding unnecessary communication overhead while maintaining handover efficiency where beneficial.
Data Source
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AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine one or more candidate base stations for a handover procedure for the UE. The UE may transmit an indication of the one or more candidate base stations to a serving base station. Numerous other aspects are provided.