MantaRay NM

Network management is an integral part of mobile networks. It covers configuring, automation and optimization tasks as well as monitoring, analytics and troubleshooting. Network management needs to follow the rhythm of network evolution.

In mobile networks, the volume of data traffic and network complexity are increasing continuously. Many operators are running multi-vendor and multi-technology networks, which brings a further challenge from network management perspective. Network management must be able to tackle both the increasing network complexity and the growing amount of traffic and data.

A network management system consists of tools for handling various network elements in live network and also for the future network expansion. It offers a wide range of common operation and maintenance capabilities for network elements in core, radio and transport networks both for managing physical network elements as well as virtualized network functions.

Why is intelligence necessary in network management?

With the introduction of 5G, there are more network elements, sites, and cells than ever before. Managing the complexity of 5G in a cost-efficient way requires more than just automation. Machine learning brings the necessary intelligence for managing 5G networks, resulting in operational efficiency.

Managing multi-technology networks is time-consuming. It is not possible to manually handle all network management tasks in a 5G network without impacting subscriber experience. Furthermore, most network outages are caused by human error. Automated routines with machine learning algorithms help eliminate typical human mistakes. They also make introduction of new services faster. When the burden of repetitive network management tasks is moved to the algorithms, the operator’s network engineers can concentrate on more value-adding tasks.