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Lifecycle Automation with Mobile Network testing & RF Drive Test Tools

As we are in a world where rollouts of 5G already exist, and wireless decision-makers think that network lifecycle automation (NLA) would become a real possibility, not just a critical business objective but for service providers also. The Network Lifecycle Automation solution is useful in lowering the costs of operating legacy networks while reducing the time to market for 5G networks, helping to get your planning and deployment done well in a faster manner.

The operations phase with NLA can be heavily automated so that engineers will get themselves free to focus on complex tasks where additional value lies. The NLA is interested in operators as they will automate the workflows and operations between the various phases of the end-to-end network lifecycle, which will leverage the planned efficiencies of Artificial Intelligence, Machine Learning, etc. in a cloud-native environment. Furthermore, MNOs will be able to reduce complexity and improve productivity with NLA, which will minimize outages and speed up innovation on 5G.

There are several reasons why network lifecycle automation (NLA) is crucial for 5G. So, now let us investigate 3 reasons why Network Lifecycle Automation is important for 5G along with User-friendly Mobile Network Monitoring Tools, Mobile Network Drive Test Tools, Mobile Network Testing Tools and User-friendly 4G Testing RF drive test software, Cellular LTE RF drive test tools & equipment in detail.

NLA allows you to invest CAPEX of your RAN accurately to get the RoI: NLA is the one that will empower you to invest CAPEX, which is a long-term investment to get your RoI. It’s a fact that network technologies can change over time, user requirements can change, and service offerings can also change, hence it’s important to invest in CAPEX that will predict business outcomes with NLA solutions. Whether it’s end-to-end network, or management process, network deployment phase, and optimized monetization, CAPEX can improve your RoI.

Sophisticated simulations, revenue heatmaps as part of an NLA framework, etc. are the benefits of Smart CAPEX systems. These benefits will enable you to assess the different levels of investment needed over time, whether for building new infrastructure or maintaining the existing 4G infrastructure. Moreover, smart CAPEX allocation and automation in RAN provide financial success.

NLA reduces OPEX: NLA can bring good opportunities in OPEX management (significantly reduce OPEX) by supporting greater levels of automation than before. When it comes to 5G innovation, it makes it more complex, and potentially costly because 5G roll-outs are typically dependent on your existing 4G infrastructure. Automation of the elements of infrastructure will increase on which 5G relies thereby reducing up to 70% of manual processes, leaving you free to prioritize innovation by focusing on monetizing new, advanced 5G services. NLA also even brings down costs, making profitable services at scale, especially at the case of what-if scenarios for network planning by merging testing and planning data.

NLA creates responsiveness, innovation, and freedom by promoting a healthy ecosystem: NLA provides governance tools to CSPs so that they can introduce and benchmark new equipment vendors, thereby developing a more competitive vendor landscape. With Open RAN, NLA can enable the establishment of multi-vendor ecosystems to capitalize on the competitive dynamics that a larger vendor ecosystem can provide. An independent, dedicated NLA system is useful in which one can onboard, monitor and benchmark the performance of any network equipment, regardless of giving you the visibility by the vendor to make rapid and accurate assessments.

Conclusion

As 5G is rolled out across the world, NLA offers a vast competitive edge to carriers. Hence, the network should be stable enough to provide QoS to the customers. When it comes to network testing and measurement, RantCell comes into the picture. With RantCell, you can not only monitor the network performance remotely but also provide QoE to the users based on walk/drive tests, benchmarking, crowdsourcing, and more.

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