Naos is based on an open, service-oriented, 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 made accessible to external applications through dedicated APIs and services.
Naos is a comprehensive platform for the automation of RAN planning and optimisation tasks. It manages network, geographic, and project data, models radio access technologies, and includes a high-performance prediction calculation engine for path losses and prediction plots.
Additional Naos modules are based on the same underlying architecture and take full advantage of Naos’s high-performance features. Each Naos module serves a definite purpose in the network design and optimisation process.
The figure below depicts Naos and optional modules communicating with enterprise applications through dedicated APIs and services.
Naos 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.
The Naos ACP (Automatic Cell Planning) module enables automated decision-making processes. Typical Naos ACP use cases include the automation of 5G site selection, routine optimisation of network parameters, and more
The Naos ARA (Automatic Resource Allocation) module enables automated PCI and PRACH RSI planning for 4G and 5G networks.
The Naos Live module allows operators to integrate live network data such as UE/cell/MDT traces and crowdsourced data into Naos’s advanced planning and optimisation features..
Naos provides operators with a comprehensive and evolutionary framework for automated planning and optimisation of multi-technology networks
Further information about Naos: