Master node, a local node and respective methods performed thereby for predicting one or more metrics associated with a communication network
A master node, a local node, a service assurance system, and a respective method performed thereby for predicting one or more metrics associated with a communication network are provided. The method performed by the master node operable in the communication network comprises receiving prediction(s) based on training data from local nodes in the communication network; and determining weight parameter(s) associated with the local nodes based on the current received prediction(s) and past received predictions. The method further comprises adjusting a respective local reporting policy for one or more local nodes based on the determined weight parameter(s).
1. A method performed by a master node operable in a communication network for predicting one or more metrics associated with the communication network, the method comprising:
receiving prediction(s) based on training data from local nodes in the communication network;
determining weight parameter(s) associated with the local nodes based on the received prediction(s) and previously received prediction(s); and
adjusting a respective local reporting policy specifying how one or more of the local nodes are to transmit the predictions to the master node, the adjusting being based on the determined weight parameter(s),
wherein the adjusting of the respective local reporting policy further comprises deactivating a local node having a determined weight parameter not meeting a first threshold thereby causing the deactivated local node to stop sending predictions to the master node,
wherein the adjusting of the respective local reporting policy further comprises changing a frequency with which a local node sends predictions to the master node depending on (i) a prediction accuracy of the prediction(s) received from the local nodes, and/or (ii) the determined weight parameter(s).
2. The method according to claim 1 , wherein the adjusting of the respective local reporting policy comprises transmitting the respective reporting policy to the one or more of the local nodes to which the respective reporting policy is intended.
3. The method according to claim 1 , further comprising determining a global model for predicting the one or more metrics associated with the communication network based on the prediction(s) received from the local nodes and the determined weight parameter(s).
4. The method according to claim 1 , further comprising requesting a first set of predictions based on the training data from the local nodes in the communication network.
5. The method according to claim 1 , wherein the adjusting of the respective local reporting policy comprises activating a previously deactivated node thereby causing the activated local node to start sending predictions to the master node.
6. The method according to claim 1 , wherein the adjusting of the respective local reporting policy comprises changing a frequency with which a local node sends predictions to the master node depending on the determined weight parameter(s) of the activated local node.
7. The method according to claim 1 , wherein the adjusting of the respective local reporting policy comprises turning off a sending of the predictions from a local node so that the local node just sends raw data.
8. A master node operable in a communication network for predicting one or more metrics associated with the communication network, the master node that includes a communication unit and a processor being configured for:
receiving prediction(s) based on training data from local nodes in the communication network;
determining weight parameter(s) associated with the local nodes based on the received prediction(s) and previously received predictions; and
adjusting a respective local reporting policy specifying how one or more of the local nodes are to transmit the predictions to the master node, the adjusting being based on the determined weight parameter(s)
wherein the adjusting of the respective local reporting policy includes deactivating a local node having a determined weight parameter not meeting a first threshold, causing the deactivated local node to stop sending predictions to the master node,
wherein the adjusting of the respective local reporting policy includes changing a frequency with which a local node sends predictions to the master node depending on (i) a prediction accuracy of the prediction(s) received from the local nodes, and/or (ii) the determined weight parameter(s).
9. The master node according to claim 8 , wherein the adjusting of the respective local reporting policy includes transmitting the respective local reporting policy to the one or more of the local nodes to which the respective reporting policy is intended.
10. The master node according to claim 8 , further being configured for determining a global model for predicting the one or more metrics associated with the communication network based on the prediction(s) received from the local nodes and the determined weight parameter(s).
11. The master node according to claim 8 , further being configured for requesting a first set of predictions based on the training data from the local nodes in the communication network.
12. The master node according to claim 8 , wherein the adjusting of the respective local reporting policy includes activating a previously deactivated node, causing the local node to start sending predictions to the master node.
13. The master node according to claim 8 , wherein the adjusting of the respective local reporting policy includes changing a frequency with which a local node sends the predictions to the master node depending on the determined weight parameter(s) of the local node.
14. The master node according to claim 8 , wherein the adjusting of the respective local reporting policy includes turning off a sending of the predictions from a local node so that the local node just sends raw data.