AI-Controlled Telecom Endpoint Simulation for Multi-User Network Testing
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Solution Overview
Problem
Conventional test equipment for mobile networks is costly, difficult to integrate, and lacks the ability to simulate multiple mobile terminal systems, leading to high development costs and human error in testing, and inadequate evaluation of network performance and application services.
Innovation Solution
A multiple telecommunication endpoint system utilizing AI decision control, comprising a telecommunication endpoint simulator, AI modules, data analysis unit, and decision unit, to simulate and manage large numbers of user signals and devices, enabling efficient and automated testing and evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional test equipment is used for mobile network testing, then testing can be performed, but the cost remains high and the equipment cannot integrate different test functions
Solution Approach 1:
The patent implements a universal test equipment platform that can perform multiple test functions including channel emulation, signal generation, and system testing through software configuration rather than requiring separate dedicated equipment for each function. The system uses a unified hardware architecture that can be dynamically reconfigured to accommodate different test scenarios and protocols.
Solution Approach 2:
The patent combines multiple previously separate test functions and equipment into a single integrated system. The channel emulator, signal generator, and test control functions are merged into one platform that can operate simultaneously or independently based on test requirements, reducing overall system complexity and cost.
2Quantity of substance
If a single device is deployed for testing during development, then equipment cost is reduced, but the system cannot simulate multiple user signals or provide large-scale verification
Solution Approach 1:
The patent uses virtualization techniques to create multiple virtual user devices and signal sources within a single physical test system. The software can generate and manage numerous virtual terminal devices that simulate different user behaviors, allowing large-scale verification without requiring proportional physical hardware.
Solution Approach 2:
The patent transitions from physical hardware multiplication to virtual/digital dimension for scaling test capacity. Instead of adding more physical devices, the system uses software-based virtualization to create additional test scenarios, user profiles, and signal sources in the digital domain.
3Reliability
If manual control and management of test methods is used, then flexibility is maintained, but human errors occur and management problems arise
Solution Approach 1:
The patent implements automated test management systems that can independently configure test parameters, execute test sequences, analyze results, and generate reports without manual intervention. The system includes self-diagnostic capabilities and automatic error detection that reduce reliance on operator skill and minimize human errors.
Solution Approach 2:
The patent incorporates automated feedback loops where test results are automatically analyzed and used to adjust subsequent test configurations. The system can automatically identify anomalies, retry failed tests, and adapt test parameters based on real-time performance data, improving reliability through continuous automated monitoring and adjustment.
4Adaptability or versatility
If existing testing tools are used for new application services, then current functionality is tested, but new service effectiveness and feasibility cannot be evaluated
Solution Approach 1:
The patent implements a dynamic test configuration system that can be reprogrammed and reconfigured through software to accommodate new services, protocols, and evaluation criteria. The system allows flexible definition of test scenarios and performance metrics that can adapt to emerging technologies without requiring hardware redesign.
Data Source
AI summary
An AI decision based multiple telecommunication endpoints system is provided, including a telecommunication endpoint device and an artificial intelligence decision controller. The telecommunication endpoint device performs a communication test with the radio frequency communication device under test. The artificial intelligence decision controller is electrically connected to the telecommunication terminal device to control the communication test, and performs an efficiency analysis on the result of the communication test, and generates a decision instruction according to the result of the efficiency analysis. The artificial intelligence decision controller can centrally control, replace and analyze multiple artificial intelligence modules and generate a large number of telecommunication endpoints device signal sending and receiving behaviors, providing a telecommunication endpoints system with self-adaptive adjustment process, parameters, result analysis and reasonable cost as a test for the development phase, deployment phase, or maintenance phase of the telecommunications equipment product development process.