Hardware : Data & Analytics : Industrial Communication
Ericsson is one of the leading providers of Information and Communication Technology (ICT) to service providers. We enable the full value of connectivity by creating game-changing technology and services that are easy to use, adopt, and scale, making our customers successful in a fully connected world.
Network redundancy inside the factory: Why it matters and how to design it
Today, manufacturing is experiencing another inflection point. This time, the technology that’s changing everything is high-performance 5G systems which itself can enable a powerful interplay of disruptive, enabling technologies such as distributed cloud and edge computing, massive IoT, AI and automation, among others.
At Ericsson, we believe the convergence of cellular 5G systems with wired Ethernet-based time-sensitive networking (TSN) delivers the most optimal redundant network design for today’s manufacturing enterprises, offering fully deterministic end-to-end connectivity, and meeting all key requirements on industrial communication technology. We believe this model will be essential to realizing all major industrial automation use cases in the future.
Ericsson’s next-gen AI-driven network dimensioning solution
Resource requirement estimation, often referred to as dimensioning, is a crucial activity in the telecommunications industry. Network dimensioning is an integral part of the Ericsson Sales Process when engaging with a prospective customer – find out more about our approach to network dimensioning and the critical importance of accuracy.
The telco dimensioning problem can be conceived as a regression problem from an AI/ML perspective. The proposed solution is Bayesian Regression which proved to be more robust to multi-collinearity of features. Additionally, our approach allows the incorporation of domain knowledge into the modeling (for example, in the form of priors, bounds and constraints), to avoid dropping network features that are critical for the domain and interpretability requirements, from a model’s trustworthiness perspective.
AI on 5G: inspiring use cases for innovation-hungry businesses
The Ericsson-NVIDIA concept we presented at MWC delivers AI applications at the edge of a high-performance 5G Cloud RAN, allowing for data to be processed on-premise to provide real-time decisions and alerts. Running AI and 5G on the same Cloud infrastructure lowers total cost of ownership and pre-integration makes it much easier for enterprises to adopt AI on 5G solutions.
NVIDIA’s AI-on-5G Platform opens a new technical playbook by delivering AI applications at the edge over a high-performance, software-defined 5G RAN. It’s a homogenous scale-out platform (a rack of 1RU telecom-grade servers running both AI and 5G workloads) that is easily expandable from small to large deployments. Thanks to its modular architecture of AI, 5G, compute and orchestration/management stacks, it can support different customer configurations too.
Adopting neural language models for the telecom domain
In recent years, transformer-based language models have become the go-to approach in NLP. The transformer model itself is not restricted to the NLP domain, although that is where the architecture has found its greatest use. Similar to recurrent neural network (RNN)-based architectures, the transformer is designed to deal with sequential data. Unlike RNN-based models, however, transformers do not need to process sequential data in order. This is due to non-recurrent attention mechanisms, which replace sequential processing with matrix multiplications and therefore have the benefit of inherent parallelization and greatly reduced training times.
The potential use cases for language models within the telecom industry will grow in number if the models possess knowledge about the domain. To this end, our new benchmark, TeleQuAD, makes it possible to both adapt and evaluate models for the question answering task within the telecom domain. In future work, such benchmarks could also be developed for other downstream tasks, such as entity recognition, log-analysis, classification, and summarization. Furthermore, a telecom language model could be applied to tasks as diverse as software development and infrastructure configuration, for example, code generation, debugging, and automated documentation.
Accelerating mining safety and smart mines with limitless connectivity
Digitalization can have a tremendous impact on safety, giving mine operators a clearer picture of the full breadth of operations, monitoring critical factors like air quality and tunnel strength. An optimized mine, especially one with the latest in 5G-enabled private networks, can give miners those crucial seconds that can save lives.
As private wireless networks, including the latest generation in 5G, help revolutionize mission critical industries across the country, mining stands out as a place where connectivity can foster major improvements, from safety to efficiency and productivity to better sustainability. Mine operations can be optimized by collecting and analyzing tracking data on the precise location and performance of vehicles, equipment and personnel.
Global Lighthouse Network: Unlocking Sustainability through Fourth Industrial Revolution Technologies
The Global Lighthouse Network is a community of production sites and other facilities that are world leaders in the adoption and integration of the cutting-edge technologies of the Fourth Industrial Revolution (4IR). Lighthouses apply 4IR technologies such as artificial intelligence, 3D-printing and big data analytics to maximize efficiency and competitiveness at scale, transform business models and drive economic growth, while augmenting the workforce, protecting the environment and contributing to a learning journey for all-sized manufacturers across all geographies and industries.
This is why railway communications needs great network design
A solid network design is the foundation to deliver on stringent performance requirements associated with mission-critical railway communications and to deliver on consumer expectations, which remain unchanged regardless of being at home or sitting on a train moving at 500km/h.
Network design has the potential to identify the optimal site locations to deliver the target performance at the best TCO, but its complexity cannot be overlooked. While cell planning tools exist, operating them for the right outcome is not trivial and requires highly skilled experts connected to a global knowledge base to keep up to date with the latest industry developments and realize the potential of 5G-based FRMCS.
Intelligent edge management: why AI and ML are key players
What will the future of network edge management look like? We explain how artificial intelligence and machine learning technologies are crucial for intelligent edge computing and the management of future-proof networks. What’s required, and what are the building blocks needed to make it happen?
How to use simulation as a network optimization tool
Imagine watching a live football match in a crowded stadium which causes an expected surge in network traffic. This surge is usually handled by adding a base station. Thanks to advancements in simulators to support multi-user and multi cell coverage as, it can now be used to replicate certain aspects of a real networks. In this blog post we reveal how a radio network simulator can be used to simulate these scenarios and decide on an ideal location for base station placement.