Network-Assisted Cell Selection for Fast-Moving UEs
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Solution Overview
Problem
In heterogeneous cellular networks, fast-moving mobile devices often experience mobility issues due to suboptimal handovers between macro and small power cells, leading to coverage holes and increased probability of Radio Link Failures, as existing mobility management systems fail to accurately select the most suitable cell for a device's current mobility state.
Innovation Solution
A method and apparatus for mobility control that generates and sends information promoting the selection of suitable cells to mobile devices, prioritizing cells based on their effect on coverage and the device's mobility characteristics, allowing for network-assisted cell selection and reselection, even in idle or connected modes, by associating physical cell identities with recommended cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If small power cells are deployed next to main roads and highways to provide coverage, then coverage is improved, but mobility performance deteriorates for fast moving mobile devices due to suboptimal handovers
Solution Approach 1:
The network performs preliminary action by proactively identifying fast-moving UEs and pre-configuring measurement and reselection parameters before handover occurs. The network sends measurement configurations to UEs in advance, specifying which cells to measure and the criteria for reselection, thereby preparing the mobility management process ahead of time to avoid suboptimal handovers when the UE actually needs to switch cells while moving fast along roads and highways
2Reliability
If network-controlled handover is used in connected mode, then mobility management is improved, but network signaling load increases
Solution Approach 1:
The invention applies local quality by differentiating the mobility management approach based on UE characteristics. For fast-moving UEs, the network implements active measurement and reselection control with specific parameters. For stationary or slow-moving UEs, the system uses default parameters without triggering additional measurement configurations. This selective application reduces network signaling load while maintaining improved mobility management only where needed for fast-moving devices
3Device complexity
If default cell selection parameters are used, then device complexity is reduced, but coverage optimization for fast moving devices deteriorates
Solution Approach 1:
The system implements dynamics by making cell selection parameters adaptive rather than static. The network dynamically adjusts measurement and reselection parameters based on real-time UE mobility state detection. When a UE is identified as fast-moving, the network activates enhanced measurement configurations and reselection criteria. This dynamic adjustment allows coverage optimization for fast-moving devices without requiring complex default parameters for all devices, thereby maintaining low device complexity while achieving high reliability where needed
Data Source
AI summary
Methods and apparatus for mobility control are disclosed. A network entity can generate information promoting at least one cell for selection by at least one mobile device and associate the information with at least one physical cell identity available for selection. The information is then communicated to the at least one mobile device. The at least one mobile device can then take the information into account in cell selection.