UE COMMUNICATION EXPERIENCE THROUGH RNA OPTIMIZATION
A method of optimizing Radio Access Network-based Notification Area (RNA) in the case a user equipment (UE) transitions to radio resource control inactive (RRC_INACTIVE) state includes: detecting, by a radio intelligent controller (RIC) using artificial intelligence (AI) and/or machine learning (ML) technique (e.g., State Vector Machine or Isolation Forest), an anomaly cell based on at least one of the following factors: key performance indicators (KPIs), performance measurements (PMs), configuration parameters (CMs), fault management (FM) data, and trace data; determining, by the RIC, based on the at least one of the factors, a cause for the detected anomaly cell; and recommending, by the RIC to a gNodeB associated with the RNA having the anomaly cell, at least one of the following actions: a) exclude the anomaly cell from the RNA, and b) disable new radio resource control (RRC) connections from the UE.
1 . A method of optimizing Radio Access Network-based Notification Area (RNA) in the case a user equipment (UE) transitions to radio resource control inactive (RRC_INACTIVE) state, the method comprising:
detecting, by a radio intelligent controller (RIC) using artificial intelligence (AI) and/or machine learning (ML) technique, an anomaly cell based on at least one of the following factors: key performance indicators (KPIs), performance measurements (PMs), configuration parameters (CMs), fault management (FM) data, and trace data;
determining, by the RIC, based on the at least one of the factors, a cause for the detected anomaly cell; and
recommending, by the RIC to a gNodeB associated with the RNA having the anomaly cell, at least one of the following actions: a) exclude the anomaly cell from the RNA, and b) disable new radio resource control (RRC) connections from the UE.
2 . The method according to claim 1 , wherein the AI/ML technique is one of Support Vector Machine (SVM) or Isolation Forest technique.
3 . The method according to claim 1 , wherein at least one of:
the FM data relate to network alarms; and
the trace data relate to state and contextual information; and
the KPI is a function of at least one of the PMs, CMs, FMs and the trace data.
4 . The method according to claim 1 , wherein the disabling of new RRC connections includes disabling RRCResumeRequest procedure for the anomaly cell.
5 . The method according to claim 2 , wherein at least one of:
the FM data relate to network alarms; and
the trace data relate to state and contextual information; and
the KPI is a function of at least one of the PMs, CMs, FMs and the trace data.
6 . The method according to claim 2 , wherein the disabling of new RRC connections includes disabling RRCResumeRequest procedure for the anomaly cell.
7 . The method according to claim 3 , wherein the disabling of new RRC connections includes disabling RRCResumeRequest procedure for the anomaly cell.
8 . The method according to claim 1 , further comprising:
withdrawing, by the RIC, the at least one recommended action once the anomaly cell starts operating normally, wherein the withdrawal of the recommended action is based on at least one of the following conditions being met: i) the RIC successfully determines the cause of the anomaly at the anomaly cell and resolves the anomaly; ii) the RIC receives at least one of cell shutdown and cell restart trigger notification; and iii) a specified period of time for automatic withdrawal of the recommended action has elapsed.
9 . The method according to claim 2 , further comprising:
withdrawing, by the RIC, the at least one recommended action once the anomaly cell starts operating normally.
10 . The method according to claim 9 , wherein the withdrawal of the recommended action is based on at least one of the following conditions being met: i) the RIC successfully determines the cause of the anomaly at the anomaly cell and resolves the anomaly; ii) the RIC receives at least one of cell shutdown and cell restart trigger notification; and iii) a specified period of time for automatic withdrawal of the recommended action has elapsed.
11 . The method according to claim 3 , further comprising:
withdrawing, by the RIC, the at least one recommended action once the anomaly cell starts operating normally.
12 . The method according to claim 11 , wherein the withdrawal of the recommended action is based on at least one of the following conditions being met: i) the RIC successfully determines the cause of the anomaly at the anomaly cell and resolves the anomaly; ii) the RIC receives at least one of cell shutdown and cell restart trigger notification; and iii) a specified period of time for automatic withdrawal of the recommended action has elapsed.
13 . The method according to claim 4 , further comprising:
withdrawing, by the RIC, the at least one recommended action once the anomaly cell starts operating normally.
14 . The method according to claim 13 , wherein the withdrawal of the recommended action is based on at least one of the following conditions being met: i) the RIC successfully determines the cause of the anomaly at the anomaly cell and resolves the anomaly; ii) the RIC receives at least one of cell shutdown and cell restart trigger notification; and iii) a specified period of time for automatic withdrawal of the recommended action has elapsed.
15 . The method according to claim 5 , further comprising:
withdrawing, by the RIC, the at least one recommended action once the anomaly cell starts operating normally, wherein the withdrawal of the recommended action is based on at least one of the following conditions being met: i) the RIC successfully determines the cause of the anomaly at the anomaly cell and resolves the anomaly; ii) the RIC receives at least one of cell shutdown and cell restart trigger notification; and iii) a specified period of time for automatic withdrawal of the recommended action has elapsed.