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AI, ML & RAN automation with Mobile Network testing & RF Drive Test Tools

Joe Calvin by Joe Calvin
June 25, 2023
in Tech
0
artificial intelligence
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Table of Contents

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  • Impact of Automation Testing
    • Requirements
    • Artificial Intelligence
    • Ran Automation
    • Conclusion

Impact of Automation Testing

Implementation of Artificial Intelligence (AI) and Machine Learning (ML) techniques like deep learning has made a huge impact on Automation testing. Understanding the importance of using AI and ML in automation is one of the keys that helps in understanding why it is necessary to improve customer network performance and customer experience and also handle CSP’s revenues at the preferred network. So, now look into AI, ML & RAN automation with Smart Mobile Network Monitoring Tools, Mobile Network Drive Test Tools, Mobile Network Testing Tools and Smart RF drive test tools & equipment, RF tester software app & network LTE 4g tester.

One of the key components of digital transformation is network automation. When it comes to the mobile network and in terms of the largest and most relevant part of any mobile network is Radio Access Network (RAN). RAN automation is a technology, solution, and service that uses intelligent, machine learning to automate repetitive tasks and reduce complexity in the RAN. It matches the automation level from simple scripts to advance AI-driven to a specific problem, which means that RAN automation has the capability to reduce and deliver the greatest return on investment (ROI) for the CSPs who are looking for better network capabilities, improve customer capabilities and create new revenue opportunities.

Requirements

The requirement for RAN automation has never been a popular concept. But when it gets combined or merged with Machine learning, intelligent 5G RAN operations can automate the network routine and network management tasks. It autonomously optimizes the radio network and can reduce the network consumption by the base station. Recently networks have more users, services, and applications with different requirements and usage performances. So, to touch these requirements, it is necessary to have a highly dynamic and intelligent approach to automation.

RantCell has taken a bit of everything to automate and resolve the issues quickly, where users can experience test data in real-time onto a cloud server and web analytics dashboard.

Artificial Intelligence

Artificial Intelligence (AI) and Machine Learning (ML) are widely used to automate all types of technologies, network platforms, and applications. Artificial Intelligence (AI) will help to improve network performance by enabling better capacity and throughput prediction for the short-term and long-term needs of their customer base RAN is the largest and most relevant part of any mobile network in terms of capital expenditures (CAPEX) and operating expenses (OPEX). The Service Management and Orchestration (SMO) domain automates the RAN by running RAN automation applications – known as rApps.

Ran Automation

RAN automation applications or rApps are for automation use cases with more than 1 second of automation loops. It is designed to run in the Non-Real Time to realize different RAN automation and management use cases to control loops on a time scale of one second and longer. Recent RAN networks are becoming heavier to operate efficiently without AI and ML. The platform vendor will either use a generic or a standardized model to pre-tune an application before deployment.

In digital transformation strategies, many operators will give importance to automation of the RAN as it is the largest component of the network in terms of CAPEX and OPEX as an output, it provides higher ROI from automation. However, the complexity of multi-vendor, multi-technology means that AI and ML technologies are fundamental to assure that automation can be managed well and scaled effectively to produce reductions in operational costs and highlight new revenue streams.

In conclusion, in the era of new technology, RantCell Pro is supported on the android device that is reusing existing farm of the device from older to latest device models which reduce the investment of test phones.

Conclusion

As a Web-based Interface with no additional software that needs to be installed on laptops.

Scheduling the test and analysing complex test cases is easy with the RantCell Solution dashboard GUI. With thousands of Mobile Test Scenarios having Individual Mobility reports can be created quickly and executed with a single click.

AI and ML are the two techniques that are expected to change the entire wide world. This combination as one platform will create greater opportunities with a completely new point of view. AI and ML in accordance with RAN play a critical role in enhancing 5G wireless networks to give better Quality of experience 24X7.

Tags: artificial intelligenceMachine Learning

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