UE Mobility Context Prediction for Seamless Connectivity
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Solution Overview
Problem
Existing wireless communication systems experience service interruptions and inefficient power consumption due to reliance on signal strength measurements for connectivity changes, particularly during sudden mobility events like high-speed travel through tunnels, as they often trigger unnecessary handovers or band switches.
Innovation Solution
Implementing a mechanism where user equipment (UE) predicts anticipated mobility events based on contextual information and proactively communicates these to the network, allowing for smooth and efficient connectivity changes, such as handovers or frequency band adjustments, using machine learning and contextual data to optimize resource allocation and reduce unnecessary operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If connectivity changes are made based on signal strength measurements, then the system can maintain basic connection stability, but service interruptions increase during sudden mobility events
Solution Approach 1:
The system performs preliminary actions by predicting mobility events before they occur. The UE determines anticipated mobility events based on contextual information (location, speed, direction, historical data) and proactively triggers handover procedures in advance, rather than waiting for signal strength to degrade. This preliminary action eliminates service interruptions by preparing connectivity changes before the actual mobility event occurs.
Solution Approach 2:
The system implements feedback mechanisms where the UE continuously monitors contextual information and mobility patterns, then feeds this information back to the network entity. The network entity uses this feedback to adjust handover parameters and make informed decisions about connectivity changes, improving the accuracy and timing of handover operations.
2Reliability
If frequent handovers are performed to maintain connection during mobility, then connection stability improves, but power consumption increases
Solution Approach 1:
The system performs preliminary mobility event prediction using contextual information before actual handovers are needed. By anticipating mobility events and preparing handover configurations in advance, the system reduces the frequency and urgency of handover operations, thereby reducing power consumption while maintaining connection stability.
Solution Approach 2:
The system changes operational parameters by using contextual information (location, speed, direction, historical mobility patterns) to dynamically adjust handover thresholds and timing. This allows the system to optimize handover frequency based on actual mobility conditions, avoiding unnecessary handovers that would consume power while ensuring handovers occur when needed for connection stability.
3Device complexity
If traditional signal strength-based handover triggers are used, then the system operates with simple measurement mechanisms, but unnecessary handovers occur during sudden mobility events
Solution Approach 1:
The system introduces contextual information (location, speed, direction, historical mobility data) as an intermediary layer between signal strength measurements and handover decisions. This intermediary provides additional context that helps distinguish between mobility events requiring handover and those that don't, reducing unnecessary handovers while maintaining simple measurement mechanisms.
Solution Approach 2:
The system performs preliminary analysis of contextual information and mobility patterns before triggering handovers. By evaluating multiple parameters in advance and predicting mobility events, the system determines whether handovers are truly necessary, reducing unnecessary operations while keeping the overall system architecture relatively simple.
Data Source
AI summary
One or more processors are provided. The one or more processors include circuitry that executes instructions to cause a user equipment (UE) to perform operations. The operations include transmitting, to a network entity, a first message indicating a capability of the UE. The operations include determining, based on contextual information associated with the UE, an anticipated mobility event to occur during a time window. The operations include transmitting, to the network entity, a second message indicative of the mobility event. The operations include determining to make a connectivity change when the mobility event occurs. A network entity and a method are also provided.