Network Slice Coverage Alignment Using MDAS Cell Recommendations
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Solution Overview
Problem
Existing network slice deployment often results in inefficient resource allocation and service degradation due to mismatch between actual geographical coverage and cellular deployment, leading to potential service interruptions and increased costs.
Innovation Solution
Implement a management data analytics service (MDAS) that analyzes slice-aware statistics and user mobility patterns to optimize cell configurations, adjusting parameters such as handover, beamforming, and load balancing to align slice coverage with actual geographical areas, thereby optimizing resource utilization and meeting service-level agreements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If network slice coverage area is expanded to meet geographical service requirements, then service coverage is improved, but resource allocation efficiency deteriorates due to mismatch with cellular deployment
Solution Approach 1:
The patent adjusts mapping parameters that define the relationship between network slice coverage areas and cellular deployment areas. By dynamically changing these parameters, the system optimizes the alignment between service coverage requirements and actual resource deployment, resolving the contradiction between expanding coverage and maintaining resource efficiency
Solution Approach 2:
The system implements dynamic adjustment of slice coverage mapping based on real-time cellular deployment data and service requirements. This dynamic approach allows the network slice coverage area to adapt flexibly to actual cellular capabilities, preventing both over-provisioning and under-provisioning of resources
2Reliability
If cell configurations are adjusted to optimize slice coverage alignment, then service-level agreement compliance is improved, but system complexity increases
Solution Approach 1:
The system employs self-service mechanisms where the network automatically adjusts cell configurations based on predefined mapping parameters and service requirements. This automation reduces manual intervention complexity while maintaining high service-level agreement compliance through algorithmic optimization
Solution Approach 2:
The patent implements feedback loops that monitor slice coverage alignment and service-level agreement metrics, automatically adjusting cell configurations in response to performance data. This closed-loop control system maintains reliability while managing complexity through data-driven decision making
Data Source
AI summary
A method and apparatus may include receiving, by a network entity, at least one parameter associated with at least one network slice; generating, by the network entity, at least one domain management data analytics service (MDAS) report based on the received at least one parameter; and transmitting, by the network entity, the at least one MDAS report comprising at least one radio access network recommendation associated with one or more of the at least one network slices.