What if you could see everything happening in your network? Ericsson enhances data visibility for transportation automation
Communications service providers (CSPs) are aggressively investing in the technologies needed to increase the level of network automation as they move toward 5G standalone and large-scale migration to cloud-native networks and operations. In fact, according to a sample of market research data, investment in automation is expected to increase at a CAGR of approximately 20% by the end of the decade. Our goals are twofold. In the short term, network automation can improve network and operational efficiency when cash flow is critical, and in the long term, it is the only viable option for managing network complexity in the 5G era and beyond. It becomes a possible option.
Broadly speaking, today’s CSPs are deploying 5G with a focus on enhanced mobile broadband. The next evolution of 5G will be layering to support large-scale Internet of Things implementations, highly reliable and low-latency communications, and network configurations tailored to the demands of specific vertical industries such as logistics and manufacturing. is characterized by. This will also involve a large-scale migration to cloud-native architectures, including core infrastructure upgrades, a more distributed approach to radio access networks, and corresponding transport adjustments.
The complexity across these domains continues to increase. This is due to a variety of factors, including increasing capacity demands, the need to manage modern and legacy infrastructure, and infrastructure proliferation, making visibility into network performance and a reliable understanding of network status more difficult. means that Multi-vendor systems and the need to remain future-ready as 5G Advanced and 6G take shape.
As visibility challenges increase, CSPs need to identify root causes, spikes in site visits, configuration errors, and balance the need for domain-specific optimization with end-to-end system performance, all of which can drive up costs. You may notice some problems. This highlights the importance of network automation to increase reliability and consistency, facilitate advanced services and the new business models that come with them, and enhance security. In the context of an end-to-end network automation strategy, the importance of visibility and understanding of network status and performance data cannot be overstated as it provides input for intelligent decision-making. .
Imagine being able to see everything happening in your critical transportation network in real time on one screen. With Ericsson Transport Automation Controllers, Ericsson answers that question clearly using artificial intelligence and machine learning-based predictive analytics that automatically identify and resolve problems and optimize the use of network resources. I am working on answering “yes”.
Observe, analyze and act with Ericsson Transport Automation Controller
“It’s no secret that automation is becoming increasingly important in the telecommunications industry. And for good reason,” said Jari Augustin, Head of Ericsson’s Transport Automation Product Line. RCR Wireless News In an interview. “It is not humanly possible to manage the complexity of all these network changes at scale with quality and speed,” he said, citing increased capacity demands and the exponential growth of network-connected devices. ” he said.
This (again) is the rationale for network automation, but before CSPs can automate network processes, they need visibility into them. “CSPs are completely clueless when it comes to understanding the state of the network,” Augustine says. “And when you can’t see it, it’s hard to know what to do.”
Ericsson’s approach to solving this visibility problem in the transport domain boils down to better observation of network behavior and performance, frequent data collection, real-time analysis of that data, and insight into that data. The idea is to turn it into an automated action so that the CSP can perform the transport. Build your network proactively and efficiently. This is essentially a thesis statement for Ericsson Transport Automation Controllers.
The idea is that with stronger visibility and visibility, Augustine says, “service providers can focus on solving problems instead of troubleshooting. You’ll find the needle in the haystack.” AI/ML Deep-based analysis identifies the root cause of problems and predicts future problems based on a growing pool of network data. The key difference between raw data and the raw data that is transformed into actionable insights is what closes the loop, literally and figuratively, and allows controllers to perform operations such as service provisioning, traffic steering, energy-saving configuration and monitoring. can be automated. “This not only speeds time to market, but also reduces human error and misconfigurations, which are some of the leading causes of network issues,” he said.
Jutta Kemppainen, Transportation Automation Strategy Product Manager at Ericsson, expands on the importance of visibility and automation to ensure end-to-end optimization of network resources and capabilities, starting with basic automation and gradually We explained the “customer journey” that can be taken forward. “It’s important to know where you are so you can identify the appropriate next steps and adjust accordingly. It’s a good start until you reach a network that’s been created, and it’s the foundation from which you can build further.”
Click here to learn more about how 5G transport automation can help reduce network operating costs.
