ATM Interface Capacity Management in Wireless Infrastructure
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Solution Overview
Problem
Conventional methods for managing capacity in wireless communication infrastructure, specifically the asynchronous transfer mode (ATM) interface between a wireless base station and the core network, are inefficient and prone to errors, particularly when increasing bandwidth, which can lead to degraded performance and increased costs due to manual, error-prone configuration processes.
Innovation Solution
The implementation of artificial intelligence-based systems that automatically generate configuration data for base stations and radio network controllers to efficiently configure and utilize increased physical capacity of the ATM interface, reducing errors and automating the process of identifying and utilizing unused bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If manual programming of components is used to increase bandwidth, then bandwidth can be increased, but the process becomes cumbersome and costly
Solution Approach 1:
The system automatically detects available bandwidth on ATM interfaces and configures virtual paths without manual intervention. The bandwidth management component autonomously identifies unused capacity and creates appropriate virtual paths, eliminating the need for manual programming of network components.
Solution Approach 2:
The system performs preliminary detection of available bandwidth and pre-configures virtual paths before bandwidth issues arise. By continuously monitoring and proactively creating virtual paths when capacity becomes available, the system avoids reactive manual configuration.
2Quantity of substance
If manual programming of components is used to increase bandwidth, then bandwidth can be increased, but the process becomes error prone and inconsistent
Solution Approach 1:
The automated bandwidth management system eliminates human error by performing detection and configuration tasks autonomously. The system self-manages the creation of virtual paths based on objectively measured available bandwidth, ensuring consistent and accurate configuration without manual programming errors.
Solution Approach 2:
The system continuously monitors actual bandwidth availability and uses this feedback to dynamically adjust virtual path configurations. This closed-loop approach ensures that configurations are based on real-time measurements rather than manual assumptions, improving accuracy and consistency.
3Quantity of substance
If additional T1 lines are added to increase bandwidth, then bandwidth increases by approximately 1.5 Megabits/second, but the infrastructure cost increases
Solution Approach 1:
Instead of adding physical infrastructure, the system changes the logical configuration by creating virtual paths that utilize existing unused bandwidth capacity. This parameter change from physical to virtual infrastructure allows bandwidth expansion without additional T1 lines or fiber optic cables.
Solution Approach 2:
The system automatically identifies and utilizes unused bandwidth capacity that already exists in the infrastructure, eliminating the need for additional physical investments. By self-managing the optimization of existing resources, the system achieves bandwidth expansion without infrastructure costs.
4Adaptability or versatility
If technology is distinct between base stations, then system flexibility is maintained, but programming becomes complex and time-consuming
Solution Approach 1:
The system provides automated configuration that adapts to different base station technologies without requiring manual programming for each variant. The bandwidth management component autonomously detects the specific technology and configures appropriate virtual paths, eliminating programming complexity while maintaining system flexibility.
Solution Approach 2:
The automated system provides a universal configuration approach that works across different base station technologies. Rather than requiring technology-specific programming, the system uses unified automated detection and configuration mechanisms that adapt to various technologies, reducing complexity while maintaining versatility.
Data Source
AI summary
Methods and apparatus that effectively manage capacity of a wireless-based communication infrastructure are presented herein. An evaluation component can generate configuration data associated with a base station of a cellular wireless network. Further, a radio network controller component can determine capacity of a physical port coupled between a radio network controller and the base station. The radio network controller component can configure the radio network controller to utilize an increase in capacity of the physical port based on the determined capacity of the physical port. A base station component can configure the base station to utilize the increase in capacity of the physical port based on the configuration data generated by the evaluation component.