Virtual Control Unit Performance Isolation in Wireless Networks
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Solution Overview
Problem
Wireless communication networks face challenges in identifying and isolating performance issues arising from virtualization software, which can lead to inefficient network operations and difficulties in adapting to changing usage patterns, such as increased population within a base station's coverage area.
Innovation Solution
A method is implemented to isolate software performance issues by establishing a server cluster with virtual control units (VCUs) that selectively control base stations, filtering data samples to remove non-software related performance impacts, and analyzing the filtered data set to determine compliance with performance indicators, thereby optimizing VCU configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud virtualization is used to manage baseband unit functions remotely, then network flexibility and adaptability are improved, but difficulty in identifying and isolating performance issues arises
Solution Approach 1:
The patent segments the network into virtual control units (VCUs) that can be independently deployed and managed on cloud servers. Each VCU handles specific baseband unit functions, allowing performance issues to be isolated to individual virtual units rather than affecting the entire network system. This segmentation enables targeted identification and resolution of performance problems while maintaining overall network flexibility.
Solution Approach 2:
The patent introduces a performance monitoring system that acts as an intermediary between the VCUs and network operators. This intermediary collects performance data from multiple VCUs, analyzes it centrally, and provides insights into the root causes of performance issues. The mediator enables efficient detection and isolation of problems without requiring direct access to each individual VCU, thus resolving the contradiction between virtualization flexibility and performance issue identification.
2Adaptability or versatility
If virtual control units are deployed on cloud servers, then network adaptability to changing usage patterns is improved, but performance measurement accuracy deteriorates due to混杂 factors
Solution Approach 1:
The patent extracts and separates performance measurements related to VCU operations from other network performance factors. By isolating VCU-specific metrics from general network performance data, the system achieves accurate measurement of virtualization software performance independent of other混杂 factors. This extraction enables precise evaluation of VCU performance while maintaining the ability to adapt to changing usage patterns.
Solution Approach 2:
The patent implements local quality control by applying specific measurement criteria and filtering rules tailored to VCU operations. Different performance indicators are measured with appropriate precision levels based on their relevance to VCU functionality. This localized measurement approach ensures high accuracy for critical VCU metrics while maintaining overall measurement efficiency, thus resolving the contradiction between adaptability and measurement precision.
Data Source
AI summary
A server cluster includes at least one server processor, which executes a virtual control unit (VCU) thereon. The VCU is configured to selectively control at least one of a plurality of base stations of a wireless communication network. A data set includes a plurality of data samples, each collected by a user device communicatively coupled to the wireless communication network, and each describing features of a communication of the user device with one of the plurality of base stations of the wireless communication network. To isolate software performance issues of the VCU within the wireless communication network, the data samples are selectively filtered according to at least one filtering rule which identifies data samples indicating an undesired performance impact by at least one factor unrelated to the VCU. The resulting filtered data set can then be analyzed to determine compliance of the VCU with at least one performance indicator.


