Mobility Management via Network Perception
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current wireless communication systems face challenges in mobility management, particularly in dynamic environments where signal attenuation or blockage occurs, leading to inefficiencies in handover processes and measurement events.
Innovation Solution
The method involves obtaining and updating criteria for cell measurement and handover based on network environment perception information, allowing user equipment to autonomously adjust these criteria or suggest updates to the network entity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional handover criteria are used in dynamic environments, then handover decisions can be made, but the accuracy of handover decisions deteriorates due to signal attenuation and blockage
Solution Approach 1:
The system performs preliminary actions by predicting future signal conditions based on perceived environmental changes (such as upcoming blockages or attenuations) before they actually occur. This allows the network entity to proactively adjust handover criteria and prepare handover decisions in advance, improving both accuracy and reliability in dynamic environments.
Solution Approach 2:
The system implements feedback mechanisms where the network entity continuously monitors environmental perception information and adjusts handover criteria based on this feedback. The criteria are dynamically updated according to perceived environmental changes, ensuring that handover decisions remain accurate and reliable even as conditions change.
2Measurement precision
If frequent cell measurements are performed to improve handover accuracy, then measurement precision improves, but network overhead and energy consumption increase
Solution Approach 1:
The system applies dynamics by making cell measurement configuration adaptive rather than static. The network entity dynamically adjusts measurement configuration based on perceived environmental changes, increasing measurement frequency when environmental conditions indicate potential signal degradation and reducing it when conditions are stable, thereby optimizing the balance between measurement precision and energy consumption.
Solution Approach 2:
The system changes parameters of cell measurement configuration (such as measurement frequency, threshold values, and measurement objects) based on environmental perception information. These parameter adjustments allow the system to maintain high measurement accuracy when needed while reducing measurement overhead and energy consumption during stable conditions.
3Adaptability or versatility
If autonomous updating of handover criteria by user equipment is implemented, then adaptability improves, but device complexity increases
Solution Approach 1:
The system enables self-service by allowing user equipment to autonomously update its own handover criteria based on environmental perception information. The UE independently processes environmental data and adjusts its measurement and handover parameters without requiring constant network intervention, thereby improving adaptability while managing device complexity through efficient local processing.
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for mobility management. A method of wireless communications by a user equipment includes obtaining one or more criteria associated with triggering at least one of cell measurement or handover. The one or more updated criteria are based at least in part on network environment perception information. The method includes obtaining one or more updated criteria associated with the triggering at least one of cell measurement or handover.