METHOD AND WIRELESS COMMUNICATION SYSTEM FOR GNB-UE TWO SIDE CONTROL OF ARTIFICIAL INTELLIGENCE/MACHINE LEARNING MODEL

1 . A method for gNB-UE two side model control by a user equipment device receiving an artificial intelligence and/or machine learning model status information from at least one base-station within a wireless communication network,

characterized by,

after receiving the artificial intelligence and/or machine learning model status information the user equipment decides

if the an artificial intelligence and/or machine learning model status information is activated, the user equipment maintains in the same artificial intelligence and/or machine learning model status information,

if the artificial intelligence and/or machine learning model status information is deactivated, the user equipment switches to an alternative operation mode based on assistance information from base-station.

2 . The method for gNB-UE two side model control by a user equipment according to claim 1 ,

wherein the artificial intelligence and/or machine learning model status information comprises model status indication, model transfer information and user equipment behavior index from base-station.

3 . The method for gNB-UE two side model control by a base station in a wireless communication network, wherein the method comprises:

Determination of an artificial intelligence and/or machine learning model status information

Checking the status of the artificial intelligence and/or machine learning model status information by the base-station,

if the checking results in the non-deactivation of base-station the artificial intelligence and/or machine learning model status information remains in the same the artificial intelligence and/or machine learning model status information and artificial intelligence and/or machine learning model status information is used for further proceedings,

if the check results in the deactivation of the artificial intelligence and/or machine learning model status information, the artificial intelligence and/or machine learning model status information is transmitted via the base station to at least one user equipment.

4 . A method for gNB-UE two side model control by a base station in a wireless communication network, wherein the artificial intelligence and/or machine learning model status information comprises model status indication, model transfer information and user equipment behavior index from base-station.

5 . A method for gNB-UE two side model control between at least a user equipment and a base station in a wireless communication network comprising an artificial and/or machine learning model training phase and an artificial and/or machine learning model inferencing phase.

6 . The method according to claim 5 for gNB-UE two side model control between at least a user equipment and a base station in a wireless communication network comprising an artificial and/or machine learning model training phase and an artificial and/or machine learning model inferencing phase, wherein the artificial and/or machine learning model inferencing phase comprises the steps:

Transmitting a measurement report and/or user equipment capability for artificial and/or machine learning from a user equipment to the base-station

Transmitting a parameter configuration update for artificial and/or machine learning from the base-station to at least a user equipment

Performing artificial and/or machine learning model inferencing by the base-station and at least a user equipment

Data exchange for model transfer and/or inference output between base-station and at least one user equipment

Model performance monitoring feedback exchange between base-station and at least one user equipment.

7 . A method for gNB-UE two side model control between at least a user equipment and a base station in a wireless communication network comprising an artificial and/or machine learning model inferencing phase comprising the steps:

Determination of model status change and user equipment behavior index,

Generation of a model transfer information,

Creating an artificial and/or machine learning assistance information, wherein the artificial and/or machine learning assistance information comprises model status indication, model transfer information, user equipment behaviour index,

Transmitting the artificial and/or machine learning assistance information to at least one user equipment,

Switching to the alternative operation mode based on the artificial and/or machine learning assistance information by the user equipment, and

transmitting user equipment behaviour update report from the user equipment to the base-station.

8 . An apparatus for gNB-UE two side model control between a user equipment and a base-station in a wireless communication network, the apparatus comprising a wireless transceiver, a processor coupled with a memory in which computer program instructions are stored, said instructions being configured to perform operations comprising:

after receiving the artificial intelligence and/or machine learning model status information the user equipment decides

if the an artificial intelligence and/or machine learning model status information is activated, the user equipment maintains in the same artificial intelligence and/or machine learning model status information,

if the artificial intelligence and/or machine learning model status information is deactivated, the user equipment switches to an alternative operation mode based on assistance information from base-station.

9 . The apparatus according to claim 8 , wherein the apparatus is a User Equipment.

10 . The apparatus according to claim 8 , wherein the apparatus is a Base Station.

11 . A wireless communication system for gNB-UE two side model control from a base station to a user equipment, wherein the base station comprises a base-station processor coupled with a base-station memory in which base-station computer program instructions are stored, said base-station computer program instructions instructions being configured such that the artificial intelligence and/or machine learning model status information comprises model status indication, model transfer information and user equipment behavior index from base-station, wherein the user equipment comprises a user-equipment processor coupled with a user-equipment memory in which user-equipment computer program instructions are stored, said user-equipment computer program instructions being configured to perform operations comprising:

after receiving the artificial intelligence and/or machine learning model status information the user equipment decides

if the an artificial intelligence and/or machine learning model status information is activated, the user equipment maintains in the same artificial intelligence and/or machine learning model status information,

if the artificial intelligence and/or machine learning model status information is deactivated, the user equipment switches to an alternative operation mode based on assistance information from base-station.