Mobility Management for Multi-Cell Handover and Slice Optimization
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Solution Overview
Problem
Next Generation wireless networks face challenges in managing mobility and optimizing network infrastructure to provide optimal wireless access to users with unrestrained mobility across various cells, cell types, and network slices, including issues related to cell site rollouts, optimization, and healing strategies.
Innovation Solution
A mobility management service utilizing a polymorphic algorithm-based network system that includes geospatial modeling, neighbor modeling, and neighbor evaluating services to identify candidate target cells, assess performance indicators, and generate composite neighbor values for improved cell selection and handover management, supporting proactive and reactive measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional mobility management methods are used in Next Generation wireless networks, then network infrastructure can be maintained with existing complexity, but network performance degrades and service optimization becomes difficult due to inability to handle unrestrained mobility across various cells and network slices
Solution Approach 1:
The patent introduces a Mobility Management Entity (MME) as an intermediary component that centralizes mobility management functions. The MME receives mobility management messages from access devices, determines target cells, and manages handover procedures, thereby reducing the complexity burden on individual network elements while improving overall network performance and reliability.
Solution Approach 2:
The patent segments mobility management into distinct functional components: access devices for signal transmission, MME for decision-making, and network slices for service differentiation. This segmentation allows each component to specialize in specific tasks, improving efficiency while maintaining manageable system complexity through modular architecture.
2Productivity
If cell site rollouts and optimizations are performed without systematic analysis, then network coverage can be expanded quickly, but service performance degrades due to improper cell selection and handover management
Solution Approach 1:
The patent implements preliminary action by having the MME pre-determine target cells and prepare handover parameters before actual handover execution. The system performs proactive mobility management by analyzing network conditions in advance and establishing optimal cell selection criteria, ensuring service performance is maintained during rapid network deployment and expansion.
3Adaptability or versatility
If network slicing is implemented to support diverse services, then service versatility improves, but management complexity increases due to need to optimize each slice independently across multiple cells
Solution Approach 1:
The patent applies universality by designing the MME to handle multiple network slices through a unified mobility management framework. The MME can simultaneously manage different service types (e.g., enhanced mobile broadband, ultra-reliable low-latency communication, massive machine-type communications) across multiple cells using standardized procedures, reducing management complexity while maintaining service versatility.
4Reliability
If handover management is optimized for each individual cell, then local service quality improves, but overall network coordination becomes difficult and healing strategies become complex
Solution Approach 1:
The patent implements feedback mechanisms where the MME continuously monitors handover performance and network conditions across cells. Based on this feedback, the MME adjusts handover parameters and makes informed decisions about target cell selection, enabling optimized local service quality while maintaining coordinated network-wide management through centralized control and adaptive parameter adjustment.
Data Source
AI summary
A method, a device, and a non-transitory storage medium are described in which a mobility management service is provided. The service may evaluate geospatial, performance metric, and neighbor criteria data relating to overlap areas between source cells and candidate target cells. The service may calculate composite values for each candidate target cell and select the candidate target cell based on the composite value. The service may manage the mobility of end devices and associated mobility procedures on a sub-sector, sector, cell, and cluster of cell level. The service may reconfigure network devices and the end device to satisfy optimization, healing, and site planning measures.