System and method of network policy optimization

1. A method comprising:

receiving, from a first network function (NF) or a network management function (NMF), by a network data analytics function (NWDAF), a request for data analytics associated with a load of a second NF over a time period in an area of interest;

collecting, by the NWDAF, data associated with the second NF according to the request;

generating, by the NWDAF, a prediction of a utilization of a resource of the second NF, the prediction being in accordance with the data associated with the second NF in response to the request, wherein the prediction indicates an average value of the load of the second NF over the time period according to the collected data in the area of interest; and

sending, by the NWDAF, the prediction of the utilization of the resource.

2. The method of claim 1 , wherein the request includes filter information indicating the second NF.

3. The method of claim 2 , wherein the filter information includes a user equipment (UE) identifier associated with the data analytics.

4. The method of claim 2 , wherein the filter information includes a network slice identifier.

5. The method of claim 2 , wherein the filter information includes an identifier of the second NF.

6. The method of claim 1 , wherein the second NF is one of a user plane function (UPF), an access and mobility function (AMF), a session management function (SMF), an access network (AN) node, a policy and control function (PCF), or a network exposure function (NEF).

7. The method of claim 1 , wherein the second NF is the UPF, and the data includes a traffic load of the UPF.

8. The method of claim 1 , wherein the NWDAF obtains the prediction by performing the data analytics according to the request and the collected data.

9. The method of claim 1 , wherein the NWDAF collects the data from an operation administration and management (OAM).

10. The method of claim 1 , wherein the NWDAF collects the data from one or more of an application function (AF), an access and mobility function (AMF), a session management function (SMF), a unified data repository (UDR), a unified data management (UDM), or an access network (AN) node.

11. The method of claim 1 , wherein the prediction further indicates a maximum value of the load of the NF over the time period.

12. The method of claim 1 , wherein the request includes filter information indicating the time period.

13. A method comprising:

sending, by a first network function (NF) or a network management function (NMF), to a network data analytics function (NWDAF), a request for data analytics associated with a load of a second NF over a time period in an area of interest; and

receiving, by the first NF or the NMF, from the NWDAF, a response including a prediction of a utilization of a resource by the second NF, the prediction being in accordance with the load associated with the second NF, wherein the prediction indicates an average value of the load of the second NF over the time period in the area of interest.

14. The method of claim 13 , wherein the request includes filter information indicating the second NF.

15. The method of claim 14 , wherein the filter information includes a user equipment (UE) identifier associated with the data analytics.

16. The method of claim 14 , wherein the filter information includes a network slice identifier.

17. The method of claim 14 , wherein the filter information includes an identifier of the second NF.

18. The method of claim 13 , wherein the second NF is one of a user plane function (UPF), an access and mobility function (AMF), a session management function (SMF), an access network (AN) node, a policy and control function (PCF), or a network exposure function (NEF).

19. The method of claim 13 , wherein the second NF is the UPF, and the data includes a traffic load of the UPF.

20. The method of claim 13 , wherein the prediction further indicates a maximum value of the load of the second NF over the time period in the area of interest.

21. The method of claim 13 , wherein the prediction is obtained based on the NWDAF's collected data according to the request.

22. An apparatus comprising a processor and a memory storing instructions which when executed by the processor configure the apparatus to execute a method comprising:

receiving, from a first network function (NF) or a network management function (NMF), a request for data analytics associated with a load of a second NF over a time period in an area of interest;

collecting data associated with the second NF according to the request;

generating a prediction of a utilization of a resource by the second NF, the prediction being in accordance with the load associated with the second NF in response to the request, wherein the prediction indicates an average value of the load of the second NF over the time period according to the collected data; and

sending the prediction of the utilization of the resource.

23. A network server apparatus comprising a processor and a memory storing instructions which when executed by the processor configure the apparatus to execute a method comprising:

sending, by a first network function (NF) or a network management function (NMF) instantiated by the network server apparatus, to a network data analytics function (NWDAF), a request for data analytics associated with a load of a second NF over a time period in an area of interest; and

receiving, by the first NF or the NMF, from the NWDAF, a response including a prediction of a utilization of a resource by the second NF, the prediction being in accordance with the load associated with the second NF, wherein the prediction indicates an average value of the load of the second NF over the time period in the area of interest.