NAOS
Automation Platform for RAN Planning & Optimization
For large scale networks, Forsk has introduced a new product, NAOS. Naos is a scalable, service-oriented platform that enables the automation of wireless network planning and Optimisation processes. Naos provides mobile operators with a framework for designing and developing their own automated RAN planning and optimization workflows. Typical use cases include 5G site selection, business planning, process-oriented radio planning and optimization, dedicated Optimisation applications and more.
Naos supports 5G NR, LTE and multi-technology HetNets. It is fully compatible with Atoll and uses the same field-proven calculation algorithms. Naos is deployable in the cloud as a web service remotely controlled through a REST API, allowing automation with multiple programming languages such as Python, C#, and C++.
NAOS highlights
Naos combines RAN planning and optimisation features with powerful APIs and services enabling wireless operators to automate RAN planning and optimisation processes.
Advanced Services for Automated RAN Planning and Optimization
Naos delivers advanced RAN planning and optimization services to enterprise applications within operators’ RAN automation ecosystems. Naos services include advanced propagation modelling and coverage predictions, automatic cell planning (ACP), neighbor planning (ANR), PCI/PRACH RSI planning services, as well as live network data services enabling to leverage crowdsourced and trace data.
Cloud-native Scalable Architecture
Naos is based on a cloud-native service-oriented architecture that allows for flexible and scalable deployment in the cloud or on premises. Orchestration and calculation microservices provide operators with flexibility and dynamic scalability to support complex and large-scale calculations.
Workflow-based RAN planning automation
REST APIs and Development Tools
Naos Architecture
Naos is based on a cloud-native, open, scalable and modular architecture. It is designed to take full advantage of the extensive computing power of cloud computing as well as operators’ on-site application servers.
It is capable of processing large amounts of radio access network and geographic data, and performing large-scale complex calculations, controlled by a set of workflow management tools, or enterprise applications through powerful REST APIs and services.
Naos cloud deployment involves various components, each providing comprehensive sets of macro and micro services for specific tasks. Naos comprises a hybrid Linux and Windows service stack that offers services dedicated to securing access, authentication, RAN planning and optimisation, project cataloguing, and orchestration including instantiation, resource provisioning, and scaling.
Some use cases can be dealt with by 100% stateless microservices, whereas some complex centralised tasks will combine stateless microservices and stateful server-based macro-services. Workflow management tools allow MNOs to design and orchestrate automated RAN planning automated processes through dedicated user interfaces that do not require programming. Naos REST APIs allow development and integration of complex and customised automated processes into enterprise applications.
Naos RAN planning and optimisation modules are based on the same underlying architecture and take full advantage of Naos’s high-performance features. Each module serves a definite purpose in the network design and optimisation process. Aster propagation model is a high performance, advanced ray-tracing propagation model capable of accurately predicting radio wave propagation in all types of environments and frequencies, i.e., sub-6 GHz as well as mmWave bands.
Naos CrossWave is a universal high-performance propagation model developed by Orange Labs. It supports all radio access technologies and all types of propagation environments, from rural to dense urban areas, and is capable of providing highly accurate propagation results even without prior calibration or tuning. Naos provides operators with a comprehensive and evolutionary framework for automated planning and optimization of multi-technology networks.
Naos ACP (Automatic Cell Planning) enables automated decision-making processes. Typical Naos ACP use cases include the automation of 5G site selection, routine optimisation of 4G and legacy technology networks, and more.
Naos ARA (Automatic Resource Allocation) enables automated PCI and PRACH RSI planning for 4G and 5G networks.
Naos Live allows operators to integrate live network data such as UE/cell/MDT traces and crowdsourced data into Naos’s advanced planning and optimization features.
Naos ANR (Automatic Neighbour Relations) enables automatic neighbour relation planning in 4G and 5G networks.
Naos provides operators with a comprehensive and evolutionary framework for automated planning and optimization of multi-technology networks.
Naos APIs and Development Tools
Naos components are deployable as containerised web services controlled through REST APIs and enable automation using a wide range of programming languages such as Python, Java, C#, and C++.
Naos APIs expose resources, objects, and methods providing access to radio network data, geographic data, propagation models, coverage prediction calculations, and more. Naos APIs enable operators to connect network planning, design, and optimisation tasks into cohesive automated workflows.
Naos Software Development Kit (SDK)
Naos RAN planning and optimisation modules are based on the same underlying architecture and take full advantage of Naos’s high-performance features. Each module serves a definite purpose in the network design and optimisation process. Aster propagation model is a high performance, advanced ray-tracing propagation model capable of accurately predicting radio wave propagation in all types of environments and frequencies, i.e., sub-6 GHz as well as mmWave bands.
Naos CrossWave is a universal high-performance propagation model developed by Orange Labs. It supports all radio access technologies and all types of propagation environments, from rural to dense urban areas, and is capable of providing highly accurate propagation results even without prior calibration or tuning. Naos provides operators with a comprehensive and evolutionary framework for automated planning and optimization of multi-technology networks.
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