A system for providing artificial intelligence life cycle in beyond 5g and 6g networks

Abstract

The present invention relates to a system (1) which is developed with the aim of providing artificial intelligence (Al) support within the scope of beyond 5G and 6G mobile communication systems, in a life cycle management (LCM).

Description

[0001] A SYSTEM FOR PROVIDING ARTIFICIAL INTELLIGENCE LIFE CYCLE IN BEYOND 5G AND 6G NETWORKS

[0002] Technical Field

[0003] The present invention relates to a system for providing artificial intelligence (Al) support within the scope of beyond 5G and 6G mobile communication systems, in a life cycle management (LCM).

[0004] Background of the Invention

[0005] Although artificial intelligence applications have the potential to optimize network management and improve quality of service in radio access networks, they also include some life cycle problems. Firstly, the training processes of artificial intelligence systems require large data sets and high computational power and this may increase costs and energy consumption. In addition, artificial intelligence algorithms need to be constantly updated and improved and this may make it difficult for systems to adapt and respond to changing conditions. Security and privacy concerns also constitute a significant problem and artificial intelligence may be a target that needs to be protected against cyber-attacks because it processes sensitive data. Lastly, the expertise required to maintain and manage these technologies constitutes an additional difficulty for organizations. These factors may directly impact the effectiveness and sustainability of artificial intelligence in radio access networks.

[0006] Therefore, considering the studies and deficiencies included in the current technique, it is understood that there is a need for a system which provides artificial intelligence (Al) support within the scope of beyond 5G and 6G mobile communication systems, in a life cycle management (LCM). The Chinese patent document no. CN114143272, an application included in the state of the art, discloses intention-driven 6G ground network management and control system and method. The said invention belongs to the technical field of communication networks, and discloses an intention-driven 6G ground network management and control system and method. The system comprises an application layer, an intention layer, an arrangement layer, a knowledge layer, an intention northbound interface, an intention southbound interface, and an infrastructure layer. The intention-driven 6G ground network management and control method comprises the steps of intent translation, strategy generation, resource management and configuration issuing. Aiming at the problems existing in current network management, the invention provides an intention-driven 6G ground network management and control system and method, the operation of management personnel on network configuration is simplified, an automatic method meeting the intention is provided for a user who does not know underlying knowledge, full-life- cycle management of a network resource pool is provided, and the user experience is improved. Whether the strategy after the intention translation can be satisfied or not is verified on the virtual network, and configuration on the infrastructure resource pool is completed through automatic issuing and intelligent arrangement after verification is completed, so that the realization of the user intention is ensured.

[0007] Summary of the Invention

[0008] An object of the present invention is to realize a system which is developed with the aim of providing artificial intelligence (Al) support within the scope of beyond 5G and 6G mobile communication systems, in a life cycle management (LCM).

[0009] Detailed Description of the Invention “A System for Providing Artificial Intelligence Life Cycle in Beyond 5G and 6G Networks” realized to fulfd the objective of the present invention is shown in the figure attached, in which:

[0010] Figure 1 is a schematic view of the inventive system.

[0011] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0012] 1. System

[0013] 2. User Device

[0014] 3. Server

[0015] The inventive system (1) developed for providing artificial intelligence (Al) support within the scope of beyond 5G and 6G mobile communication systems, in a life cycle management (LCM) comprises at least one user device (2) which is configured to be connected to at least one cell and / or base station; and at least one server (3) which is configured to enable the realization of a life cycle in mobile communications without interruption by carrying out transaction of beyond 5G and 6G mobile communication systems at air interface such as end-to-end data collection, data pre-processing, model training, model inference and model evaluation.

[0016] The user device (2) included in the inventive system (1) is configured to establish communication and to exchange data with the server (3) by using any communication protocol.

[0017] The server (3) included in the inventive system (1) is configured to establish communication and to exchange data with the user device (2) by using any communication protocol. The server (3) is configured to make a selection of radio resource management scheduling or beam of the cell and the base station whereto user device (2) is connected. The server (3) is configured to ensure that transactions concerning the radio interface such as selection of resource management scheduling or beam are carried out in a standard way supported by beyond 5G and 6G, if the user device (2) or the connected cell and / or base station does not support artificial intelligence. The server (3) is configured to ensure that selection of the user device (2) or the beam to access the source is completed, if the user device (2) or the connected cell and / or base station supports artificial intelligence and if the selection of resource management scheduling or beam concerning the air interface has completed the training data, pre-processing and model training and an artificial intelligence model thereof is created. The server (3) is configured to ensure that model parameters are updated in the relevant network unit and protocols if end-to- end data collection, data pre-processing, model training, model inference and model evaluation have been carried out in the previous step. The server (3) is configured to enable the creation and processing of training data from scratch and the realization of model training, if the training data is missing, not pre-processed, there is no artificial intelligence model or cannot be transferred to the relevant network unit or the user device (2). The server (3) is configured to ensure that updates of the date related to network security are performed in units within the network and if necessary, the others are performed on servers of the third parties that own the application or the service. The server (3) is configured to ensure that the user device, cell or base station life-cycle is continued until all air interface needs are met and when it is not necessary anymore to update the air interface, the user device, cell or base station returns to the routine life cycle thereof.

[0018] Industrial Application of the Invention

[0019] With the inventive system (1), artificial intelligence (Al) support is provided within the scope of beyond 5G and 6G mobile communication systems, in a life cycle management (LCM). Within these basic concepts; it is possible to develop various embodiments of the inventive “System (1) for Providing Artificial Intelligence Life Cycle in Beyond 5G and 6G Networks”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) for providing artificial intelligence (Al) support within the scope of beyond 5G and 6G mobile communication systems, in a life cycle management (LCM); comprising at least one user device (2) which is configured to be connected to at least one cell and / or base station; and characterized by at least one server (3) which is configured to enable the realization of a life cycle in mobile communications without interruption by carrying out transaction of beyond 5G and 6G mobile communication systems at air interface such as end-to-end data collection, data pre-processing, model training, model inference and model evaluation.

2. A system (1) according to Claim 1; characterized by the user device (2) which is configured to establish communication and to exchange data with the server (3) by using any communication protocol.

3. A system (1) according to Claim 1 or 2; characterized by the server (3) which is configured to establish communication and to exchange data with the user device (2) by using any communication protocol.

4. A system (1) according to any one of the preceding claims; characterized by the server (3) which is configured to make a selection of radio resource management scheduling or beam of the cell and the base station whereto user device (2) is connected.

5. A system (1) according to any one of the preceding claims; characterized by the server (3) which is configured to ensure that transactions concerningthe radio interface such as selection of resource management scheduling or beam are carried out in a standard way supported by beyond 5G and 6G, if the user device (2) or the connected cell and / or base station does not support artificial intelligence.

6. A system (1) according to any one of the preceding claims; characterized by the server (3) which is configured to ensure that selection of the user device (2) or the beam to access the source is completed, if the user device (2) or the connected cell and / or base station supports artificial intelligence and if the selection of resource management scheduling or beam concerning the air interface has completed the training data, pre-processing and model training and an artificial intelligence model thereof is created.

7. A system (1) according to any one of the preceding claims; characterized by the server (3) which is configured to ensure that model parameters are updated in the relevant network unit and protocols if end-to-end data collection, data pre-processing, model training, model inference and model evaluation have been carried out in the previous step.

8. A system (1) according to any one of the preceding claims; characterized by the server (3) which is configured to enable the creation and processing of training data from scratch and the realization of model training, if the training data is missing, not pre-processed, there is no artificial intelligence model or cannot be transferred to the relevant network unit or the user device (2).

9. A system (1) according to any one of the preceding claims; characterized by the server (3) which is configured to ensure that updates of the date related to network security are performed in units within the network and if necessary, the others are performed on servers of the third parties that own the application or the service.

10. A system (1) according to any one of the preceding claims; characterized by the server (3) which is configured to ensure that the user device, cell or base station life-cycle is continued until all air interface needs are met and when it is not necessary anymore to update the air interface, the user device, cell or base station returns to the routine life cycle thereof.

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