Method and apparatus for managing resource through service demand information analysis in wireless communication system
The present disclosure relates to a 5th generation (5G) or pre-5G communication system for supporting a higher data transmission rate than that of a beyond-4th generation (4G) communication system such as Long-Term Evolution (LTE). According to the present disclosure, a method for operating a network data analytics function (NWDAF) in a wireless communication system comprises the steps of receiving information used for service analysis, receiving service analysis request information related to service use in order to perform the service analysis, generating service analysis information including service prediction information on the basis of the service analysis request information, and transmitting the service analysis information.
1. A method performed by a network data analytics function (NWDAF) entity in a wireless communication system, the method comprising:
obtaining information for service analysis including subscriber information, mobility information, a routing policy, a session modification event, a traffic report, and application information;
receiving, from a network exposure function (NEF) entity, a first message requesting a subscription for an analysis, wherein the first message indicates a type of the analysis as a service usage and comprises an application identifier for the analysis and filter information including an area of interest and slice information;
generating analytics information based on the first message and the obtained information, wherein the analytics information includes terminal specific analysis information, application specific analysis information, complex analysis information, and expected service usage information; and
transmitting, to the NEF entity, a second message as a response to the first message, the second message including the analytics information,
wherein the terminal specific analysis information comprises a terminal identifier, a general public subscription identifier, a data network name (DNN), a data network access identifier (DNAI), expected residual time information, and expected traffic volume information,
wherein the application specific analysis information comprises the application identifier, the DNN, the DNAI, the expected residual time information, and the expected traffic volume information, and
wherein the expected service usage information comprises the expected traffic volume information, an expected number of sessions, an expected number of users, and an expected number of packets.
2. The method of claim 1 , wherein the terminal specific analysis information further includes location information to which a specific terminal or a terminal group is related.
3. The method of claim 1 , wherein the analytics information is associated with a mobile edge computing (MEC) service.
4. A network data analytics function (NWDAF) entity in a wireless communication system, the NWDAF entity comprising:
a transceiver; and
a controller coupled with the transceiver and configured to:
obtain information for service analysis including subscriber information, mobility information, a routing policy, a session modification event, a traffic report, and application information,
receive, from a network exposure function (NEF) entity, a first message requesting a subscription for an analysis, wherein the first message indicates a type of the analysis as a service usage and comprises an application identifier for the analysis and filter information including an area of interest and slice information,
generate analytics information based on the first message and the obtained information, wherein the analytics information includes terminal specific analysis information, application specific analysis information, complex analysis information, and expected service usage information, and
transmit, to the NEF entity, a second message as a response to the first message, the second message including the analytics information,
wherein the terminal specific analysis information comprises a terminal identifier, a general public subscription identifier, a data network name (DNN), a data network access identifier (DNAI), expected residual time information, and expected traffic volume information,
wherein the application specific analysis information comprises the application identifier, the DNN, the DNAI, the expected residual time information, and the expected traffic volume information, and
wherein the expected service usage information comprises the expected traffic volume information, an expected number of sessions, an expected number of users, and an expected number of packets.
5. The NWDAF entity of claim 4 , wherein the terminal specific analysis information further includes location information to which a specific terminal or a terminal group is related.
6. The NWDAF entity of claim 4 , wherein the analytics information is associated with a mobile edge computing (MEC) service.