Wireless Network Slice Management via Microprocessor Diagnostics

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Solution Overview

Problem

Wireless communication networks fail to effectively utilize operating system and microprocessor diagnostic tools to assess the health of wireless network slices, and they do not efficiently use the resulting health data to take remedial actions.

Innovation Solution

Implement a system where microprocessor and operating system performance data is collected and used to generate wireless network slice information. This information is then utilized by a smart contract in a distributed ledger to determine necessary remedial actions, such as relocating the network slice to a different microprocessor or operating system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If microprocessor and operating system diagnostic tools are utilized to monitor wireless network slice performance, then network slice health assessment capability is improved, but system complexity increases

Engineering Contradiction:

Improvenetwork slice health assessmentVSAvoidmonitoring system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The monitoring system leverages self-service by utilizing existing diagnostic tools that are already embedded in microprocessors and operating systems. These tools automatically generate performance data without requiring external intervention, thereby improving network slice health assessment while avoiding additional system complexity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements feedback mechanisms where performance data from diagnostic tools is continuously collected, analyzed, and used to generate network slice information. This closed-loop feedback enables automatic health assessment and remedial actions, improving reliability while keeping the system architecture manageable through standardized feedback channels.

Inventive Principle:

Principle #23Feedback

2Productivity

If performance data is collected and analyzed to generate network slice information, then network slice management effectiveness is improved, but data processing requirements increase

Engineering Contradiction:

Improvenetwork slice management effectivenessVSAvoiddata processing requirements

Core Design Contradiction:

ProductivityVSPower

Solution Approach 1:

The system extracts only the specific performance data elements needed for network slice management from the comprehensive diagnostic output. By selectively extracting relevant metrics rather than processing all available data, the system improves management effectiveness while reducing unnecessary data processing requirements.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system performs preliminary filtering and aggregation of performance data at the source before transmission and further processing. This preliminary action reduces the volume of data that needs to be processed downstream, thereby improving management effectiveness while minimizing power consumption for data processing.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If remedial actions are taken based on network slice health data, then network performance and reliability are improved, but response time requirements increase

Engineering Contradiction:

Improvenetwork performanceVSAvoidremedial action response time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary analysis of performance data against predefined thresholds and conditions. When anomalies are detected, remedial actions are triggered automatically based on pre-configured response protocols, eliminating delays associated with manual analysis and decision-making, thus improving network reliability while maintaining rapid response times.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements real-time feedback loops where network slice health data continuously informs automated remedial actions. This immediate feedback mechanism ensures that performance issues are addressed promptly, improving network reliability while minimizing the time loss between problem detection and resolution.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250126504A1Wireless network slice management

Publication Date: 2025.04.17 T MOBILE INNOVATIONS LLC

AI summary

A wireless communication system manages a wireless network slice. The wireless communication system executes an operating system and executes wireless network slice software under the control of the operating system. The wireless communication system generates microprocessor measurement data that indicates microprocessor performance during the execution of the operating system and the wireless network slice software. The wireless communication system generates operating system measurement data that indicates operating system performance during the execution of the operating system. The wireless communication system generates wireless network slice information based on the microprocessor measurement data and the operating system measurement data. The wireless communication system modifies the execution of the wireless network slice software based on the wireless network slice information.