Method and system for prediction and root cause recommendations of service access quality of experience issues in communication networks
Embodiments of the invention utilize advanced statistical data analytics to predict and provide recommendations for root-cause analysis for service access QoE issues in networks, such as 3G/4G networks. Using FCAPS data as predictor variables, embodiments are configured to set up the problem as a predictive regression or classification problem to estimate service access QoE related indicators. Some embodiments perform training and tuning of various non-linear statistical modelling algorithms, based for example on tree and ensemble methods, using network deregistration information from RAN logs.
1. A method, comprising:
receiving fault, configuration, administration, performance, and security (FCAPS) data;
receiving session logs;
categorizing, partitioning, and preparing the fault, configuration, administration, performance, and security (FCAPS) data into an input set and output set configured for generating offline and online prediction, and for providing offline root cause recommendations of service access quality of experience (QoE) issues;
offline training, evaluating, and validating of a model configured for learning in areas of the service access quality of experience (QoE) issues, based on the output set; and
utilizing the trained, evaluated, and validated model to execute a prediction function to provide the offline root cause recommendations for the service access quality of experience (QoE) issues.
2. The method according to claim 1 , wherein the receiving of the fault, configuration, administration, performance, and security (FCAPS) data comprises receiving the fault, configuration, administration, performance, and security (FCAPS) data in online and offline mode from at least one network management entity.
3. The method according to claim 1 , wherein the receiving of the session logs comprises receiving the session logs from at least one network element.
4. The method according to claim 1 , further comprising extracting deregistration entries from the session logs.
5. The method according to claim 1 , further comprising storing the input set and the output set in a database.
6. The method according to claim 1 , wherein the input set is prepared by an online module and the output set is prepared by an offline module.
7. An apparatus, comprising:
at least one processor; and
at least one memory comprising computer program code,
the at least one memory and the computer program code configured, with the at least one processor, to cause the apparatus at least to
receive fault, configuration, administration, performance, and security (FCAPS) data;
receive session logs;
categorize, partition, and prepare the fault, configuration, administration, performance, and security (FCAPS) data into an input set and output set configured for generating offline and online prediction, and for providing offline root cause recommendations of service access quality of experience (QoE) issues;
offline train, evaluate, and validate a model configured for learning in areas of the service access quality of experience (QoE) issues, based on the output set; and
utilize the trained, evaluated, and validated model to execute a prediction function to provide the offline root cause recommendations for the service access quality of experience (QoE) issues.
8. The apparatus according to claim 7 , wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to receive the fault, configuration, administration, performance, and security (FCAPS) data in online and offline mode from at least one network management entity.
9. The apparatus according to claim 7 , wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to receive the session logs from at least one network element.
10. The apparatus according to claim 7 , wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to extract deregistration entries from the session logs.
11. The apparatus according to claim 7 , wherein the at least one memory and the computer program code are further configured, with the at least one processor, to cause the apparatus to store the input set and the output set in a database.
12. The apparatus according to claim 7 , wherein the apparatus further comprises an online module configured to prepare the input set, and an offline module configured to prepare the output set.
13. A non-transitory computer readable storage medium encoded with a computer program configured to control a processor to perform a process, comprising:
receiving fault, configuration, administration, performance, and security (FCAPS) data;
receiving session logs;
categorizing, partitioning, and preparing the fault, configuration, administration, performance, and security (FCAPS) data into an input set and output set configured for generating offline and online prediction, and for providing offline root cause recommendations of service access quality of experience (QoE) issues;
offline training, evaluating, and validating of a model configured for learning in areas of the service access quality of experience (QoE) issues, based on the output set; and
utilizing the trained, evaluated, and validated model to execute a prediction function to provide the offline root cause recommendations for the service access quality of experience (QoE) issues.
14. The non-transitory computer readable medium according to claim 13 , wherein the receiving of the fault, configuration, administration, performance, and security (FCAPS) data comprises receiving the fault, configuration, administration, performance, and security (FCAPS) data in online and offline mode from at least one network management entity.
15. The non-transitory computer readable medium according to claim 13 , wherein the receiving of the session logs comprises receiving the session logs from at least one network element.
16. The non-transitory computer readable medium according to claim 13 , further comprising extracting deregistration entries from the session logs.
17. The non-transitory computer readable medium according to claim 13 , further comprising storing the input set and the output set in a database.
18. The non-transitory computer readable medium according to claim 13 , wherein the input set is prepared by an online module and the output set is prepared by an offline module.