Base Station Resource Allocation for Proactive Issue Mitigation
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Solution Overview
Problem
In cellular networks with thousands of base stations, detecting and mitigating issues associated with a single base station can be difficult due to the complexity and geographical distribution of these stations.
Innovation Solution
A network management system that includes an Operations Support System (OSS) and a network management device aggregates information from equipment nodes, identifies resource issues, and generates configuration data to reallocate computing resources, allowing base stations to automatically mitigate predicted issues by adjusting resource allocation and limiting access to certain functionalities based on user device criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If base stations are geographically distributed to maximize wireless transmission coverage, then network coverage area is improved, but detection and mitigation of issues becomes more difficult
Solution Approach 1:
A centralized network management device is introduced as an intermediary to collect status information from multiple base stations and perform unified issue detection and analysis. This mediator aggregates data from geographically distributed base stations, enabling effective monitoring without requiring each base station to independently detect issues across the entire network.
Solution Approach 2:
The network management system divides the large-scale network into manageable clusters, with each cluster managed by a local computing device running OSS. This segmentation allows issues to be detected and addressed at the cluster level rather than requiring analysis of the entire geographically distributed network, making detection more feasible.
2Measurement precision
If manual monitoring and management of individual base stations is performed, then issue detection accuracy is improved, but operational complexity increases
Solution Approach 1:
Multiple base station monitoring functions are merged into a centralized network management device. This consolidation maintains high detection accuracy by gathering comprehensive data from all base stations while reducing operational complexity through unified management rather than individual manual monitoring of each station.
Solution Approach 2:
The system implements automated feedback loops where status information from base stations is continuously collected, analyzed by the network management device, and used to automatically generate and implement mitigation actions. This feedback mechanism maintains detection accuracy while reducing the need for complex manual intervention.
3Stability of the object's composition
If resources are allocated statically to base station functionalities, then system stability is improved, but adaptability to changing network conditions deteriorates
Solution Approach 1:
The system transitions from static resource allocation to dynamic allocation based on real-time status information. The network management device continuously monitors base station conditions and automatically adjusts resource allocation and configuration parameters, enabling the system to adapt to changing network conditions while maintaining stability through controlled, data-driven changes.
Solution Approach 2:
The system changes operational parameters such as resource allocation levels and configuration settings based on detected network conditions and issues. By dynamically adjusting these parameters rather than maintaining fixed allocations, the system achieves both stability through controlled parameter management and adaptability through responsive parameter changes.
Data Source
AI summary
Techniques are described herein for mitigating network issues related to insufficient resources on hardware components (e.g., base stations). Such techniques may be performed by an Operations Support System (OSS) and may comprise receiving status information relating to an equipment node operating on a network. The techniques may further comprise determining, based on the status information, a predicted issue associated with the equipment node, identifying an allocation of resources determined to mitigate the predicted issue associated with the network, and generating, based on the identified allocation of resources, configuration data. The techniques may then comprise providing the configuration data to the equipment node to cause the equipment node to allocate one or more computing resources in accordance with eh identified allocation of resources.