6 Use cases and requirements

28.1003GPPLevels of autonomous networkManagement and orchestrationRelease 17TS

6.1 Network and service planning scenarios

Note: The Network and service planning scenarios is not addressed in the present document.

6.2 Network and service deployment scenarios

6.2.1 Autonomous network level for RAN NE deployment

RAN NE deployment use case refers to the entire workflow of deploying an RAN NE, full autonomy of RAN NE deployment can help the network operator to reduce OPEX by reducing manual involvement in such tasks. However, full autonomy of RAN NE deployment is a long term goal, it will be beneficial for operator to achieve this goal step by step and have clear view on which typical issues can be addressed by utilizing network autonomy mechanisms in corresponding steps. The requirements for each autonomous level for RAN NE deployment are different.

6.3 Network and service maintenance scenarios

6.3.1 Autonomous network level for fault management

Fault management use case refers to the entire workflow of network fault management, autonomy of fault management can help the network operator to reduce OPEX by reducing manual involvement in such tasks and to enhance user experience and reduce network and service failure time by reducing the time for network fault supervision and recovery. However, full autonomy of fault management is a long term goal, it will be beneficial for operator to achieve this goal step by step and have clear view on which typical issues can be addressed by utilizing network autonomy mechanism in corresponding steps. The requirements for each autonomous level for fault management autonomy are different.

6.4 Network and service optimization scenarios

6.4.1 Autonomous network level for radio network coverage optimization

Radio networks are geographically distributed, and mobile user activity varies significantly in different places and at different times of day. To achieve the optimal coverage, a set of initial coverage configuration parameters (e.g. coverageShape, digitalTilt and digitalAzimuth) may not always meet the requirements. Therefore, the coverage configuration parameters need to be adjusted in a differentiated manner with the change of the radio network environment. It is complex for the adjustment due to multiple factors needs to be considered, e.g. interference control, huge data and frequent traffic changes. So introducing the autonomous network level for radio network coverage optimization will benefit for operator to achieve the full autonomy goal step by step and have clear view on which typical issues can be addressed by utilizing autonomy mechanism in corresponding steps. The requirements for each autonomous level for radio network coverage optimization are different.

6.4.2 Autonomous network level for RAN UE throughput optimization

RAN UE throughput is a key performance for radio network, and, numerous radio feature parameters with broad value ranges affect the RAN UE throughput. There are many radio feature parameters of RAN NE level or cell level, for examples, MLB related parameters, resource schedule related parameters, cell reselection related parameters, handover related parameters, different radio feature parameters affect each other and the combination number of various parameter values is large. Therefore, it is complex to adjust radio feature configuration parameters to achieve the optimized RAN UE throughput. So introducing the autonomous network level for RAN UE throughput optimization will be benefit for operator to achieve the full autonomy goal step by step and have clear view on which typical issues can be addressed by utilizing autonomy mechanism in corresponding steps. The requirements for each autonomous level for RAN UE throughput optimization are different.