An intelligent control system for a radio access network that prioritizes critical services to maintain communication continuity after disasters

Abstract

The present invention relates to a system (1) for meeting emergency communication needs by prioritising the intensive use of the standing stations when the base stations are disabled after natural disasters and for prioritising the call and data traffic in the cellular network by stabilising the load on the network through artificial intelligence.

Description

[0001] AN INTELLIGENT CONTROL SYSTEM FOR A RADIO ACCESS NETWORK THAT PRIORITIZES CRITICAL SERVICES TO MAINTAIN COMMUNICATION CONTINUITY AFTER DISASTERS

[0002] Technical Field

[0003] The present invention relates to a system for meeting emergency communication needs by prioritising the intensive use of the standing stations when the base stations are disabled after natural disasters and for prioritising the call and data traffic in the cellular network by stabilising the load on the network through artificial intelligence.

[0004] Background of the Invention

[0005] The state of the art discloses a radio access network (RAN) radio intelligent controller (RIC) and a method thereof, which can be deployed in RANs and nextgeneration cellular networks to improve their performance. The RIC has an interface positioned in the RAN and comprises a data-driven logic unit. Based on the data retrieved from the RAN, the data-driven logic unit creates a representation that describes the state of the RAN and directs an action associated with at least one network element based on the representation. However, it has no structure that enables the optimisation of adaptive architecture, has no architecture to maximise the capacity of the network for disaster scenarios, and incorporates no AL supported intelligent planning module.

[0006] Therefore, considering the studies and deficiencies included in the current technique, it is understood that there is a need for a system which enables meeting the emergency communication needs by prioritising the intensive use of the standing stations when the base stations are disabled after natural disasters, stabilising the load on the network by means of artificial intelligence, prioritising user requests, and managing critical services such as voice, message, and internet data needs effectively by means of an intelligent control unit.

[0007] The European patent document no. EP2602985, an application included in the state of the art, discloses an emergency response system connected to telephone networks. The said system is configured to collect data on mobile phones around the perimeter of the emergency, such as current location and sensor data; to display the collected data on a map showing the perimeter of the emergency; enable an operator to select at least one mobile phone; initiate prioritised audio and / or video communication with the mobile phone(s) selected using its sensor data. The proposed solution can collect and transmit low-level data, such as audio and video, by taking advantage of the ability of modern smartphones to collect sensor data and communicate, as well as mobile telecommunication network technologies. When an emergency call is received, the system switches to participatory surveillance mode automatically or through operator action. In this mode, the system locates smartphones around and collects data from them.

[0008] Summary of the Invention

[0009] An object of the present invention is to realise a system which is developed with the aim of meeting emergency communication needs by prioritising the intensive use of the standing stations when the base stations are disabled after natural disasters and for prioritising the call and data traffic in the cellular network by stabilising the load on the network through artificial intelligence.

[0010] Another object of the present invention is to realize a system which is developed with the aim of ensuring the best performance of search and rescue activities, a critical element in an emergency, by prioritising users’ requests and stabilising the load against the heavy use of the standing base stations caused by the outage of the base station that may result in the mobile operator’s network after natural disasters.

[0011] Another object of the present invention is to realize a system which is developed with the aim of prioritising users’ requests for voice, message, and internet data upon intense demand that the network faces after an earthquake.

[0012] Another object of the present invention is to realize a system which is developed with the aim of preventing the same users from keeping the network too busy.

[0013] Another object of the present invention is to realize a system which is developed with the aim of providing end-to-end intelligent control of network slicing beginning from the user terminal and reaching the core network through the radio unit, the distributed unit, and the central unit, from where it connects to the internet data network for voice, message, and internet data needs specific to critical services.

[0014] Another object of the present invention is to realize a system which is developed with the aim of enabling the prioritization of urgent mobile network calls and data traffic to maintain uninterrupted mobile network calls and data traffic upon intense demand that may come up during emergencies and disasters.

[0015] Another object of the present invention is to realize a system which is developed with the aim of providing uninterrupted service to the maximum number of users with narrowed bandwidth and maximum service quality over special tunnels through network slices by isolating emergency call and data traffic from other types of communication according to the users’ requests for access to the network through artificial intelligence-supported intelligent network control. Another object of the present invention is to realize a system which is developed with the aim of achieving optimum operation of the service continuity of the base station that fails to be energized by the interrupted power grid during disasters.

[0016] Another object of the present invention is to realize a system which is developed with the aim of making preparations that will maximize service continuity by saving time for infrastructure services and planning in the network for upcoming hours and preparing operators and service providers for emergency scenarios using artificial intelligence support and based on intelligent predictions to users.

[0017] Detailed Description of the Invention

[0018] “An Intelligent Control System for A Radio Access Network That Prioritizes Critical Services to Maintain Communication Continuity After Disasters” realized to fulfil the objectives of the present invention is shown in the figure attached, in which:

[0019] Figure 1 is a schematic view of the inventive system.

[0020] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0021] 1. System

[0022] 2. Radio Data Management Module

[0023] 3. Distributed Data Management Module

[0024] 4. Central Data Management Module

[0025] 5. Near Real-Time Data Processing Module

[0026] 6. Non-Real-Time Data Processing Module

[0027] 7. Core Network Module

[0028] B. Base Station

[0029] T. User Terminal K. Positioning xApp

[0030] I. Request Tracking and Management xApp

[0031] E. Energy Tracking xApp

[0032] A. Intelligent Forecasting and Situation Analysis rApp . Configuration Management rApp Network Slices Selection Function Module

[0033] M. Access and Mobility Function Module

[0034] The inventive system (1) which is developed for meeting emergency communication needs by prioritising the intensive use of the standing stations when the base stations are disabled after natural disasters and for prioritising the call and data traffic in the cellular network by stabilising the load on the network through artificial intelligence comprises at least one radio data management module (2) which is configured to be one of the cornerstones of the O-RAN (Open Radio Access Network) architecture and form the radio access surface of the mobile network; be the first gathering point of live data collected by base stations (B) and convert radio frequency analogue signals into digital data; to manage the interaction between user terminals (K) and radio signals and acquire radio interface signals that contain user data and control inputs collected through user measurement reports by processing such signals; to receive / transmit, demodulate / modulate, and digitise radio signals; to process uplink data requests from user terminals (K), which includes data received from user devices, and downlink data requests of the network, which represent data sent from the network to user devices; monitor current radio conditions and user traffic, and improve network performance using that data; to continuously monitor dynamics, such as network traffic density, user mobility, signal quality, and other radio parameters, and share them with other modules for analysis; to optimise spectrum efficiency and radio resource management, which is necessary to dynamically adapt to the various conditions of the network; and to maintain the continuity of emergency services and critical communication needs while levelling the risk of overloading the rest of the network in the event of a disaster; at least one distributed data management module (3) which is configured to access the data stream provided via the radio data management module (2); to process radio signals and coordinate the retrieved data; to be a key component of the O-RAN architecture and serve as an intermediate layer between the radio network and the centralised network; to centralise the processed radio signals to transmit data to the wider part of the network; to receive raw signals and data from multiple radio information management modules (2) and transmit them in an appropriate format to higher layers of the network by processing them, perform basic radio network operations such as signal demodulation, error detection and correction, packaging, and decryption of user data; to share it with xApp and rApp applications to make decisions for improving network performance and user experience by regulating traffic flow and allocating radio resources; to exchange the information necessary for the decisions made for the dynamic allocation of radio resources required to improve the efficiency of the network through the radio data management module (2); and to ensure the instantaneous assessment of the bandwidth needs of users and the most efficient use of the available radio spectrum; to allocate resources based on factors such as network traffic density, quality of service requirements, and geographical positioning of users; to improve the user experience by employing advanced algorithms and machine learning techniques that enhance the resilience of the network and offer high-scale personalised services; to design to achieve low latencies in communication with other parts of the network and facilitate the integration of new radio technologies and services by promoting both scalability and modularity of the network; and to enforce strong security protocols to maintain the continuity and provide security of data stream across the network; at least one central data management module (4) which is configured to manage data and resources effectively by coordinating between more than one distributed data management module (3); to ensure the integrated operation of the network by controlling the data stream and operations between different parts of the network; to run the control algorithms necessary to optimise network performance, including functions such as stabilising traffic load, managing resource allocations, and improving the quality of service across the network; to manage the resources of the network through a centralised approach; to ensure efficient use of resources such as radio spectrum, energy, and processing capacity; and dynamically adjust resource allocation according to changing demands and conditions in the network; to implement traffic policies to assure quality guarantees for different services and users; to classify and prioritise data streams for the optimisation of users’ experiences and maintenance of the service levels required for specific applications; to plan and configure the network, including the integration of new services and technologies to support the long-term evolution of the network, and configuration changes when the network needs to be expanded or replaced; at least one near real-time data processing module (5) which is configured to include positioning xApp (K) -an application that calculates the location of users in real time by using the signals of the station (B) to which the users are connected and the connection signals with neighbouring stations; locates the users with high accuracy by using the signals received from the radio data management module (2); shares this information with other parts of the network; prioritises critical services and ensures efficient routing of resources, especially in emergencies and disasters; identifies the hot spots of user density to understand the movements of users and manage the network traffic more efficiently through machine learning supported algorithms; and uses this strategic information to optimise the load distribution of the network- and to include request tracking and management xApp (I) -an application that tracks, analyses and manages users’ access requests in real time; intelligently sorts and manages packet-based data traffic, taking into account the quality of service of users and the current state of the network; optimises the allocation of network resources and the management of traffic by identifying target information necessary to improve the packet contents and the performance of the network; relieves the overall load of the network; enhances the user experience and serves a critical function to maintain network performance, especially when there is heavy traffic or network resources are critical- and to include the energy monitoring xApp (E) -an application for improving the energy efficiency of the network, that collects, monitors and analyses the energy consumption data of the radio network, makes the necessary adjustments to optimise the energy consumption of the network based on station-based and user traffic data, continuously monitors the energy use of the stations and identifies potential areas of savings, uses advanced algorithms to dynamically manage energy use, thereby both reducing the operational costs of the network and helping to minimise its carbon footprint; at least one non-real-time data processing module (6) which is configured to include intelligent forecasting and condition analysis rApp (A) -an application that analyses the overall health of the network; makes forecasts in addition to condition analysis; provides strategic information needed to improve network performance through in-depth analysis of station-based KPI data and user data; assesses the current network status and forecasts elements such as future request quantities, user mobility and traffic patterns using machine learning algorithms; takes preventive measures to maintain uninterrupted and high-performance operation of the network by identifying potential problems in the network beforehand and continuously monitoring the overall health of the network- and to include configuration management rApp (Y) -an application that allows the network to operate efficiently by continuously updating network configurations, automatically adjusts various configuration parameters, such as network slicing, resource management, handover flexibility and energy saving based on the current network status and predictions generated by machine learning, identifies the changes required to optimise data streams and network performance, and transmits these changes to the core network and related network elements on an authorised basis, thus allows the network to quickly adapt to dynamic conditions and continuously improve operational efficiency; at least one core network module (7) which is configured to include the network slices selection function module (§) -a function that plays an important role in 5G and beyond networks; is responsible for assigning users to network slices; selects the appropriate network slice based on the user’s service requirements, device capabilities, and network policies; provides efficient use of network resources and improves the user experience through this selection process; collects data from xApps and rApps via the centralised data management module (4); transmits them to the core network; collects the current and forecasted conditions of KPIs and requests; defines new network slices by reviewing the existing ones taking into account the forecasted conditions of the existing network slices; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to the distributed data management module (3) using the interface to the centralised data management module (4); transmits core network changes to the radio data management module (2) using the interface of the distributed data management module (3)- and to include an access and mobility function module (M) -a function that exists in the core network structure of 5G and beyond networks and allows users to access the network and mobility management; is responsible for the registration of user devices to the network, session management and location updates, tracks the mobility of users and keeps the user’s location in the network up to date based on this information; provides uninterrupted service while the user moves inside the network; collects data from xApps and rApps through the central data management module (4) and transmits it to the core network; collects request quantities and data on the current status of radio units; analyses the condition and identifies needs by using the location of the users to which they are connected; analyses the conditions and identifies needs by taking into account the request quantities and the current state of the network; manages configuration by using data such as request quantities, user locations, points at which the users connect to the radio units; determines the requests to be accepted and rejected on a network basis; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to the distributed data management module (3) using the interface to the centralised data management module (4) and core network changes to the radio data management module (2) using the interface to the distributed data management module (3).

[0035] The radio data management module (2) included in the inventive system (1) is configured to be one of the cornerstones of the O-RAN architecture and form the radio access surface of the mobile network. The radio data management module (2) is configured to be the first gathering point of live data collected by the base stations (B) and convert the radio frequency (RF) analogue signals into digital data. The radio data management module (2) is configured to manage the interaction between user terminals (K) and radio signals and acquire radio interface signals that contain user data and control inputs collected through user measurement reports by processing such signals. The radio data management module (2) is configured to receive / transmit, demodulate / modulate, and digitise radio signals. The radio data management module (2) is configured to process uplink data requests from user terminals (K), that include data received from user devices, and downlink data requests of the network, that represent data sent from the network to user devices. The radio data management module (2) is configured to monitor current radio conditions and user traffic; to improve network performance using that data; to continuously monitor dynamics, such as network traffic density, user mobility, signal quality, and other radio parameters; and to share them with other modules for analysis. The radio data management module (2) is configured to optimise spectrum efficiency and radio resource management, that is necessary to dynamically adapt to the various conditions of the network; and to maintain the continuity of emergency services and critical communication needs while levelling the risk of overloading the rest of the network in the event of a disaster. The radio data management module (2) is configured to stream data to the distributed data management module (3).

[0036] The distributed data management module (3) included in the inventive system (1) is configured to access the data stream provided via the radio data management module (2). The distributed data management module (3) is configured to process radio signals and coordinate the retrieved data. The distributed data management module (3) is configured to be a key component of the O-RAN architecture and to serve as an intermediate layer between the radio network and the centralised network. The distributed data management module (3) is configured to centralise the processed radio signals to transmit data to the wider part of the network. The distributed data management module (3) is configured to receive raw signals and data from multiple radio information management modules (2) and transmit them in an appropriate format to higher layers of the network by processing them. The distributed data management module (3) is configured to perform basic radio network operations, such as signal demodulation, error detection and correction, packaging, and decryption of user data. The distributed data management module

[0037] (3) is configured to share it with xApp and rApp applications to make decisions for improving network performance and user experience by regulating traffic flow and allocating radio resources. The distributed data management module (3) is configured to exchange the information necessary for the decisions made for the dynamic allocation of radio resources required to improve the efficiency of the network through the radio data management module (2); to ensure the instantaneous assessment of the bandwidth needs of users and the most efficient use of the available radio spectrum; to allocate resources based on factors such as network traffic density, quality of service requirements, and geographical positioning of users. The distributed data management module (3) is configured to improve the user experience by employing advanced algorithms and machine learning techniques that enhance the resilience of the network and offer high-scale personalised services. The distributed data management module (3) is configured to achieve low latencies in communication with other parts of the network and facilitate the integration of new radio technologies and services by promoting both scalability and modularity of the network. The distributed data management module (3) is configured to enforce strong security protocols to maintain continuity and provide security of the data stream across the network.

[0038] The central data management module (4) included in the inventive system (1) is configured to be a component in the O-RAN architecture and to represent the control layer of the network. The central data management module (4) is configured to access data streams from the distributed data management module (3) and to integrate the data with the core network module (7) and other network services by processing them. The central data management module (4) is configured to provide an efficient and effective stream of data; to control signals between the different layers of the network; and to be the central point of overall network management. The central data management module (4) is configured to perform high-level network functions, such as traffic management, session management, mobility management, and network slicing. The central data management module (4) is configured to balance user demands and quality of service requirements to regulate user data streams and allocate network resources efficiently under traffic management. The central data management module (4) is configured to optimally use the capacity of the network, establish and maintain the connection of users to the network through session management; to ensure uninterrupted service to users while moving within the network through mobility management. The central data management module (4) is configured to create flexible and customised networks that can meet a wide range of service requirements by separating network resources and configurations specific to different user groups and service types through a network slicing function. The central data management module (4) is configured to manage large data streams, prioritise emergency services, and assure quality of service for different types of users and services. The central data management module (4) is configured to monitor the overall performance of the network and make critical decisions about network health, security, configuration changes, and quality of service. The central data management module (4) is configured to analyse and take proactive measures to identify and solve any problems that may appear in the network. The central data management module (4) is configured to process the necessary timing and synchronisation data to synchronise with the rest of the network. The central data management module (4) is configured to adhere to strict standards for data protection and confidentiality from the perspective of security and user privacy and incorporate protocols and algorithms that reinforce these aspects of the network. The central data management module (4) is configured to improve the overall functional efficiency, scalability and resilience of the network using advanced data processing capacity, high-level automation and intelligent algorithms; ensure high-speed, reliable and uninterrupted service to users by coordinating various high-level functions of the network; ensure the continuous operation of the network with the highest performance level. The central data management module (4) is configured to manage data and resources effectively by coordinating between more than one distributed data management module (3); to ensure the integrated operation of the network by controlling the data stream and operations between different parts of the network. The central data management module (4) is configured to run the control algorithms necessary to optimise network performance, including functions such as stabilising traffic load, managing resource allocations, and improving the quality of service across the network. The central data management module (4) is configured to manage the resources of the network through a centralised approach; ensure efficient use of resources, such as radio spectrum, energy, and processing capacity; and dynamically adjust resource allocation according to changing demands and conditions in the network. The central data management module (4) is configured to implement traffic policies to assure quality guarantees for different services and users; classify and prioritise data streams for the optimisation of users’ experiences and maintenance of the service levels required for specific applications. The central data management module (4) is configured to plan and configure the network, including the integration of new services and technologies to support the long-term evolution of the network, and configuration changes when the network needs to be expanded or replaced.

[0039] The near real-time data processing module (5) included in the inventive system (1) is configured to enable near real-time network optimisation and intelligent management as a critical part of the O-RAN architecture; to be designed to improve the operational efficiency of the radio layer of the network and perform functions such as resource allocation, network slicing and management of user quality of service by instantly analysing user requests and network status through various xApps. The near real-time data processing module (5) is configured to enable the network to react quickly and flexibly and continually optimise itself by introducing advanced decision-making mechanisms in areas such as network traffic, spectrum usage and user experience. The near real-time data processing module (5) is configured to include positioning xApp (K) -an application that calculates the location of users in real-time by using the signals of station (B), to which the users are connected and the connection signals with neighbouring stations; locates the users with high accuracy by using the signals received from the radio data management module (2); shares this information with other parts of the network, prioritises critical services and ensures efficient routing of resources, especially in emergencies and disasters; identifies the hot spots of user density to understand the movements of users and manage the network traffic more efficiently through machine learning supported algorithms; and uses this strategic information to optimise the load distribution of the network. The near real-time data processing module (5) is configured to include request tracking and management xApp (I) -an application that tracks, analyses and manages users’ access requests in real time; intelligently sorts and manages packet-based data traffic, taking into account the quality of service of users and the current state of the network; optimises the allocation of network resources and the management of traffic by identifying target information necessary to improve the packet contents and the performance of the network; relieves the overall load of the network; enhances the user experience and serves a critical function to maintain network performance, especially when there is heavy traffic or network resources are critical. The near real-time data processing module (5) is configured to include the energy monitoring xApp (E) -an application for improving the energy efficiency of the network, that collects, monitors and analyses the energy consumption data of the radio network, makes the necessary adjustments to optimise the energy consumption of the network based on station-based and user traffic data, continuously monitors the energy use of the stations and identifies potential areas of savings, uses advanced algorithms to dynamically manage energy use, thereby both reducing the operational costs of the network and helping to minimise its carbon footprint.

[0040] The non-real-time data processing module (6) included in the inventive system (1) is configured to meet non-real-time data processing requirements and to be a component of the O-RAN architecture that assumes the broader policy and management functions of the network. The non-real-time data processing module (6) is configured to perform functions such as long-term network planning, resource allocation strategies, comprehensive network optimisation and management of service quality; analyse large data sets in depth using machine learning and artificial intelligence algorithms; collect network performance metrics and forecast to improve the user experience; provide long-term policy decisions that support the real-time decisions of the near-real-time data processing module (5), while managing the more complex and strategic functions of the network, and thus improve the overall effectiveness and sustainability of the network. The non-real-time data processing module (6) is configured to include intelligent forecasting and condition analysis rApp (A) -an application that analyses the overall health of the network; makes forecasts in addition to condition analysis; provides strategic information needed to improve network performance through in-depth analysis of station-based KPI data and user data; assesses the current network status and forecasts elements such as future request quantities, user mobility and traffic patterns using machine learning algorithms; takes preventive measures to maintain the uninterrupted and high-performance operation of the network by identifying potential problems in the network beforehand and continuously monitoring the overall health of the network. The non-real-time data processing module (6) is configured to include configuration management rApp (Y) -an application that allows the network to operate efficiently by continuously updating network configurations, automatically adjusts various configuration parameters, such as network slicing, resource management, handover flexibility and energy saving based on the current network status and predictions generated by machine learning, identifies the changes required to optimise data streams and network performance, and transmits these changes to the core network and related network elements on an authorised basis, thus allows the network to quickly adapt to dynamic conditions and continuously improve operational efficiency.

[0041] The core network module (7) included in the inventive system (1) is configured to interact with the network slices selection function module (S) and the access and mobility function module (M) in the core network structure and support and implement their decisions through these two functions. The core network module (7) included in the inventive system (1) is configured to include the network slices selection function module (§) -a function that plays an important role in 5G and beyond networks; is responsible for assigning users to network slices; selects the appropriate network slice based on the user’s service requirements, device capabilities, and network policies; provides efficient use of network resources and improves the user experience through this selection process; collects data from xApps and rApps via the centralised data management module (4); transmits them to the core network; collects the current and forecasted conditions of KPIs and requests; defines new network slices by reviewing the existing ones taking into account the forecasted conditions of the existing network slices; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to the distributed data management module (3) using the interface to the centralised data management module (4); transmits core network changes to the radio data management module (2) using the interface of the distributed data management module (3). The core network module (7) included in the inventive system (1) is configured to include an access and mobility function module (M) -a function that exists in the core network structure of 5G and beyond networks and allows users to access the network and mobility management; is responsible for the registration of user devices to the network, session management and location updates, tracks the mobility of users and keeps the user’s location in the network up to date based on this information; provides uninterrupted service while the user moves inside the network; collects data from xApps and rApps through the central data management module (4) and transmits it to the core network; collects request quantities and data on the current status of radio units; analyses the condition and identifies needs by using the location of the users to which they are connected; analyses the conditions and identifies needs by taking into account the request quantities and the current state of the network; manages configuration by using data such as request quantities, user locations, points at which the users connect to the radio units; determines the requests to be accepted and rejected on a network basis; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to the distributed data management module (3) using the interface to the centralised data management module (4) and core network changes to the radio data management module (2) using the interface to the distributed data management module (3).

[0042] Industrial Application of the Invention

[0043] In the inventive system (1), it is ensured to prioritize critical communication needs and provide efficient routing of resources by resolving the challenges faced by mobile networks in unexpected events such as natural disasters. Network performance is analysed instantaneously by using innovative artificial intelligence and machine learning algorithms. While maximizing the service quality of users, network traffic and energy consumption are optimized. The sustainability and effectiveness of vital search and rescue operations for humans / living beings are improved, particularly during disasters. O-RAN (Open Radio Access Network) and RIC (RAN Intelligent Controller) are innovative technologies that allow for more open, flexible, and efficient network management in the telecommunications industry. O-RAN allows operators to easily combine equipment and software from various vendors, thereby building a freer ecosystem, while RIC is a software layer that augments the intelligence and automation of the network. RIC is divided into two key components: Near-Real-Time (Near-RT) and Non-Real- Time (Non-RT). These components allow network operators to leverage real-time data processing and analytics capabilities to manage traffic flow, optimise resource allocation, and improve network services. The combination of ORAN and RIC improves the user experience and boosts operational efficiency by enabling networks to innovate faster, be more flexible, and dynamically optimise themselves.

[0044] Within these basic concepts; it is possible to develop various embodiments of the inventive “An Intelligent Control System (1) for A Radio Access Network That Prioritizes Critical Services to Maintain Communication Continuity After Disasters”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) which is developed with the aim of meeting emergency communication needs by prioritising the intensive use of the standing stations when the base stations are disabled after natural disasters and for prioritising the call and data traffic in the cellular network by stabilising the load on the network through artificial intelligence; comprising- at least one radio data management module (2) which is configured to be one of the cornerstones of the O-RAN (Open Radio Access Network) architecture and form the radio access surface of the mobile network; be the first gathering point of live data collected by base stations (B) and convert radio frequency analogue signals into digital data; to manage the interaction between user terminals (K) and radio signals and acquire radio interface signals that contain user data and control inputs collected through user measurement reports by processing such signals; to receive / transmit, demodulate / modulate, and digitise radio signals; to process uplink data requests from user terminals (K), which includes data received from user devices, and downlink data requests of the network, which represent data sent from the network to user devices; monitor current radio conditions and user traffic, and improve network performance using that data; to continuously monitor dynamics, such as network traffic density, user mobility, signal quality, and other radio parameters, and share them with other modules for analysis; to optimise spectrum efficiency and radio resource management, which is necessary to dynamically adapt to the various conditions of the network; and to maintain the continuity of emergency services and critical communication needs while levelling the risk of overloading the rest of the network in the event of a disaster;at least one distributed data management module (3) which is configured to access the data stream provided via the radio data management module (2); to process radio signals and coordinate the retrieved data; to be a key component of the O-RAN architecture and serve as an intermediate layer between the radio network and the centralised network; to centralise the processed radio signals to transmit data to the wider part of the network; to receive raw signals and data from multiple radio information management modules (2) and transmit them in an appropriate format to higher layers of the network by processing them, perform basic radio network operations such as signal demodulation, error detection and correction, packaging, and decryption of user data; to share it with xApp and rApp applications to make decisions for improving network performance and user experience by regulating traffic flow and allocating radio resources; to exchange the information necessary for the decisions made for the dynamic allocation of radio resources required to improve the efficiency of the network through the radio data management module (2); and to ensure the instantaneous assessment of the bandwidth needs of users and the most efficient use of the available radio spectrum; to allocate resources based on factors such as network traffic density, quality of service requirements, and geographical positioning of users; to improve the user experience by employing advanced algorithms and machine learning techniques that enhance the resilience of the network and offer high-scale personalised services; to design to achieve low latencies in communication with other parts of the network and facilitate the integration of new radio technologies and services by promoting both scalability and modularity of the network; and to enforce strong security protocols to maintain the continuity and provide security of data stream across the network;and characterized by- at least one central data management module (4) which is configured to manage data and resources effectively by coordinating between more than one distributed data management module (3); to ensure the integrated operation of the network by controlling the data stream and operations between different parts of the network; to run the control algorithms necessary to optimise network performance, including functions such as stabilising traffic load, managing resource allocations, and improving the quality of service across the network; to manage the resources of the network through a centralised approach; to ensure efficient use of resources such as radio spectrum, energy, and processing capacity; and dynamically adjust resource allocation according to changing demands and conditions in the network; to implement traffic policies to assure quality guarantees for different services and users; to classify and prioritise data streams for the optimisation of users’ experiences and maintenance of the service levels required for specific applications; to plan and configure the network, including the integration of new services and technologies to support the long-term evolution of the network, and configuration changes when the network needs to be expanded or replaced;- at least one near real-time data processing module (5) which is configured to include positioning xApp (K) -an application that calculates the location of users in real time by using the signals of the station (B) to which the users are connected and the connection signals with neighbouring stations; locates the users with high accuracy by using the signals received from the radio data management module (2); shares this information with other parts of the network; prioritises critical services and ensures efficient routing of resources, especially in emergencies and disasters; identifies the hot spots of user density to understand themovements of users and manage the network traffic more efficiently through machine learning supported algorithms; and uses this strategic information to optimise the load distribution of the network- and to include request tracking and management xApp (I) -an application that tracks, analyses and manages users’ access requests in real time; intelligently sorts and manages packetbased data traffic, taking into account the quality of service of users and the current state of the network; optimises the allocation of network resources and the management of traffic by identifying target information necessary to improve the packet contents and the performance of the network; relieves the overall load of the network; enhances the user experience and serves a critical function to maintain network performance, especially when there is heavy traffic or network resources are critical- and to include the energy monitoring xApp (E) -an application for improving the energy efficiency of the network, that collects, monitors and analyses the energy consumption data of the radio network, makes the necessary adjustments to optimise the energy consumption of the network based on station-based and user traffic data, continuously monitors the energy use of the stations and identifies potential areas of savings, uses advanced algorithms to dynamically manage energy use, thereby both reducing the operational costs of the network and helping to minimise its carbon footprint;- at least one non-real-time data processing module (6) which is configured to include intelligent forecasting and condition analysis rApp (A) -an application that analyses the overall health of the network; makes forecasts in addition to condition analysis; provides strategic information needed to improve network performance through in-depth analysis of station-based KPI data and user data; assesses the current network status and forecastselements such as future request quantities, user mobility and traffic patterns using machine learning algorithms; takes preventive measures to maintain uninterrupted and high-performance operation of the network by identifying potential problems in the network beforehand and continuously monitoring the overall health of the network- and to include configuration management rApp (Y) -an application that allows the network to operate efficiently by continuously updating network configurations, automatically adjusts various configuration parameters, such as network slicing, resource management, handover flexibility and energy saving based on the current network status and predictions generated by machine learning, identifies the changes required to optimise data streams and network performance, and transmits these changes to the core network and related network elements on an authorised basis, thus allows the network to quickly adapt to dynamic conditions and continuously improve operational efficiency; at least one core network module (7) which is configured to include the network slices selection function module (§) -a function that plays an important role in 5G and beyond networks; is responsible for assigning users to network slices; selects the appropriate network slice based on the user’s service requirements, device capabilities, and network policies; provides efficient use of network resources and improves the user experience through this selection process; collects data from xApps and rApps via the centralised data management module (4); transmits them to the core network; collects the current and forecasted conditions of KPIs and requests; defines new network slices by reviewing the existing ones taking into account the forecasted conditions of the existing network slices; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to thedistributed data management module (3) using the interface to the centralised data management module (4); transmits core network changes to the radio data management module (2) using the interface of the distributed data management module (3)- and to include an access and mobility function module (M) -a function that exists in the core network structure of 5G and beyond networks and allows users to access the network and mobility management; is responsible for the registration of user devices to the network, session management and location updates, tracks the mobility of users and keeps the user’s location in the network up to date based on this information; provides uninterrupted service while the user moves inside the network; collects data from xApps and rApps through the central data management module (4) and transmits it to the core network; collects request quantities and data on the current status of radio units; analyses the condition and identifies needs by using the location of the users to which they are connected; analyses the conditions and identifies needs by taking into account the request quantities and the current state of the network; manages configuration by using data such as request quantities, user locations, points at which the users connect to the radio units; determines the requests to be accepted and rejected on a network basis; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to the distributed data management module (3) using the interface to the centralised data management module (4) and core network changes to the radio data management module (2) using the interface to the distributed data management module (3).

2. A system (1) according to Claim 1; characterized by the radio data management module (2) which is configured to be one of the cornerstonesof the O-RAN architecture and form the radio access surface of the mobile network.

3. A system (1) according to Claim 1 or 2; characterized by the radio data management module (2) which is configured to be the first gathering point of live data collected by the base stations (B) and convert the radio frequency analogue signals into digital data.

4. A system (1) according to Claim 3; characterized by the radio data management module (2) which is configured to manage the interaction between user terminals (K) and radio signals and acquire radio interface signals that contain user data and control inputs collected through user measurement reports by processing such signals.

5. A system (1) according to any one of the preceding claims; characterized by the radio data management module (2) which is configured to receive / transmit, demodulate / modulate, and digitise radio signals.

6. A system (1) according to any one of the preceding claims; characterized by the radio data management module (2) which is configured to process uplink data requests from user terminals (K), that include data received from user devices, and downlink data requests of the network, that represent data sent from the network to user devices.

7. A system (1) according to any one of the preceding claims; characterized by the radio data management module (2) which is configured to monitor current radio conditions and user traffic; to improve network performance using that data; to continuously monitor dynamics, such as network traffic density, user mobility, signal quality, and other radio parameters; and to share them with other modules for analysis.

8. A system (1) according to any one of the preceding claims; characterized by the radio data management module (2) which is configured to optimise spectrum efficiency and radio resource management, that is necessary to dynamically adapt to the various conditions of the network; and to maintain the continuity of emergency services and critical communication needs while levelling the risk of overloading the rest of the network in the event of a disaster.

9. A system (1) according to any one of the preceding claims; characterized by the radio data management module (2) which is configured to stream data to the distributed data management module (3).

10. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to access the data stream provided via the radio data management module (2).

11. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to process radio signals and coordinate the retrieved data.

12. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to be a key component of the O-RAN architecture and to serve as an intermediate layer between the radio network and the centralised network.

13. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to centralise the processed radio signals to transmit data to the wider part of the network.

14. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to receive raw signals and data from multiple radio information management modules (2) and transmit them in an appropriate format to higher layers of the network by processing them.

15. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to perform basic radio network operations, such as signal demodulation, error detection and correction, packaging, and decryption of user data.

16. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to share it with xApp and rApp applications to make decisions for improving network performance and user experience by regulating traffic flow and allocating radio resources.

17. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to exchange the information necessary for the decisions made for the dynamic allocation of radio resources required to improve the efficiency of the network through the radio data management module (2); to ensure the instantaneous assessment of the bandwidth needs of users and the most efficient use of the available radio spectrum; to allocate resources based on factors such as network traffic density, quality of service requirements, and geographical positioning of users.

18. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to improve the user experience by employing advanced algorithms andmachine learning techniques that enhance the resilience of the network and offer high-scale personalised services.

19. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to achieve low latencies in communication with other parts of the network and facilitate the integration of new radio technologies and services by promoting both scalability and modularity of the network.

20. A system (1) according to any one of the preceding claims; characterized by the distributed data management module (3) which is configured to enforce strong security protocols to maintain continuity and provide security of the data stream across the network.

21. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to be a component in the O-RAN architecture and to represent the control layer of the network.

22. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) is configured to access data streams from the distributed data management module (3) and to integrate the data with the core network module (7) and other network services by processing them.

23. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to provide an efficient and effective stream of data; to control signals between the different layers of the network; and to be the central point of overall network management.

24. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to perform high-level network functions, such as traffic management, session management, mobility management, and network slicing.

25. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to balance user demands and quality of service requirements to regulate user data streams and allocate network resources efficiently under traffic management.

26. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to optimally use the capacity of the network, establish and maintain the connection of users to the network through session management; to ensure uninterrupted service to users while moving within the network through mobility management.

27. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to create flexible and customised networks that can meet a wide range of service requirements by separating network resources and configurations specific to different user groups and service types through a network slicing function.

28. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to manage large data streams, prioritise emergency services, and assure quality of service for different types of users and services.

29. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to monitor the overall performance of the network and make critical decisions about network health, security, configuration changes, and quality of service.

30. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to analyse and take proactive measures to identify and solve any problems that may appear in the network.

31. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to process the necessary timing and synchronisation data to synchronise with the rest of the network.

32. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to adhere to strict standards for data protection and confidentiality from the perspective of security and user privacy and incorporate protocols and algorithms that reinforce these aspects of the network.

33. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to improve the overall functional efficiency, scalability and resilience of the network using advanced data processing capacity, high-level automation and intelligent algorithms; ensure high-speed, reliable and uninterrupted service to users by coordinating various high-level functions of the network; ensure the continuous operation of the network with the highest performance level.

34. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to manage data and resources effectively by coordinating between more than one distributed data management module (3); to ensure the integrated operation of the network by controlling the data stream and operations between different parts of the network.

35. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to run the control algorithms necessary to optimise network performance, including functions such as stabilising traffic load, managing resource allocations, and improving the quality of service across the network.

36. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to manage the resources of the network through a centralised approach; ensure efficient use of resources, such as radio spectrum, energy, and processing capacity; and dynamically adjust resource allocation according to changing demands and conditions in the network.

37. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to implement traffic policies to assure quality guarantees for different services and users; classify and prioritise data streams for the optimisation of users’ experiences and maintenance of the service levels required for specific applications.

38. A system (1) according to any one of the preceding claims; characterized by the central data management module (4) which is configured to plan and configure the network, including the integration of new services and technologies to support the long-term evolution of the network, andconfiguration changes when the network needs to be expanded or replaced.

39. A system (1) according to any one of the preceding claims; characterized by the near real-time data processing module (5) which is configured to enable near real-time network optimisation and intelligent management as a critical part of the O-RAN architecture; to be designed to improve the operational efficiency of the radio layer of the network and perform functions such as resource allocation, network slicing and management of user quality of service by instantly analysing user requests and network status through various xApps.

40. A system (1) according to any one of the preceding claims; characterized by the near real-time data processing module (5) which is configured to enable the network to react quickly and flexibly and continually optimise itself by introducing advanced decision-making mechanisms in areas such as network traffic, spectrum usage and user experience.

41. A system (1) according to any one of the preceding claims; characterized by the near real-time data processing module (5) which is configured to include positioning xApp (K) -an application that calculates the location of users in real-time by using the signals of station (B), to which the users are connected and the connection signals with neighbouring stations; locates the users with high accuracy by using the signals received from the radio data management module (2); shares this information with other parts of the network, prioritises critical services and ensures efficient routing of resources, especially in emergencies and disasters; identifies the hot spots of user density to understand the movements of users and manage the network traffic more efficiently through machine learning supported algorithms; and uses this strategic information to optimise the load distribution of the network.

42. A system (1) according to any one of the preceding claims; characterized by the near real-time data processing module (5) which is configured to include request tracking and management xApp (I) -an application that tracks, analyses and manages users’ access requests in real time; intelligently sorts and manages packet-based data traffic, taking into account the quality of service of users and the current state of the network; optimises the allocation of network resources and the management of traffic by identifying target information necessary to improve the packet contents and the performance of the network; relieves the overall load of the network; enhances the user experience and serves a critical function to maintain network performance, especially when there is heavy traffic or network resources are critical.

43. A system (1) according to any one of the preceding claims; characterized by the near real-time data processing module (5) which is configured to include the energy monitoring xApp (E) -an application for improving the energy efficiency of the network, that collects, monitors and analyses the energy consumption data of the radio network, makes the necessary adjustments to optimise the energy consumption of the network based on station-based and user traffic data, continuously monitors the energy use of the stations and identifies potential areas of savings, uses advanced algorithms to dynamically manage energy use, thereby both reducing the operational costs of the network and helping to minimise its carbon footprint.

44. A system (1) according to any one of the preceding claims; characterized by the non-real-time data processing module (6) which is configured to meet non-real-time data processing requirements and to be a component of the O-RAN architecture that assumes the broader policy and management functions of the network.

45. A system (1) according to any one of the preceding claims; characterized by the non-real-time data processing module (6) which is configured to perform functions such as long-term network planning, resource allocation strategies, comprehensive network optimisation and management of service quality; analyse large data sets in depth using machine learning and artificial intelligence algorithms; collect network performance metrics and forecast to improve the user experience; provide long-term policy decisions that support the real-time decisions of the near-real-time data processing module (5), while managing the more complex and strategic functions of the network, and thus improve the overall effectiveness and sustainability of the network.

46. A system (1) according to any one of the preceding claims; characterized by the non-real-time data processing module (6) which is configured to include intelligent forecasting and condition analysis rApp (A) -an application that analyses the overall health of the network; makes forecasts in addition to condition analysis; provides strategic information needed to improve network performance through in-depth analysis of station-based KPI data and user data; assesses the current network status and forecasts elements such as future request quantities, user mobility and traffic patterns using machine learning algorithms; takes preventive measures to maintain the uninterrupted and high-performance operation of the network by identifying potential problems in the network beforehand and continuously monitoring the overall health of the network.

47. A system (1) according to any one of the preceding claims; characterized by the non-real-time data processing module (6) which is configured to include configuration management rApp (Y) -an application that allows the network to operate efficiently by continuously updating network configurations, automatically adjusts various configuration parameters,such as network slicing, resource management, handover flexibility and energy saving based on the current network status and predictions generated by machine learning, identifies the changes required to optimise data streams and network performance, and transmits these changes to the core network and related network elements on an authorised basis, thus allows the network to quickly adapt to dynamic conditions and continuously improve operational efficiency.

48. A system (1) according to any one of the preceding claims; characterized by the core network module (7) which is configured to interact with the network slices selection function module (S) and the access and mobility function module (M) in the core network structure and support and implement their decisions through these two functions.

49. A system (1) according to any one of the preceding claims; characterized by the core network module (7) which is configured to include the network slices selection function module (§) -a function that plays an important role in 5G and beyond networks; is responsible for assigning users to network slices; selects the appropriate network slice based on the user’s service requirements, device capabilities, and network policies; provides efficient use of network resources and improves the user experience through this selection process; collects data from xApps and rApps via the centralised data management module (4); transmits them to the core network; collects the current and forecasted conditions of KPIs and requests; defines new network slices by reviewing the existing ones taking into account the forecasted conditions of the existing network slices; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to the distributed data management module (3) using the interface to the centralised data management module (4); transmits corenetwork changes to the radio data management module (2) using the interface of the distributed data management module (3).

50. A system (1) according to any one of the preceding claims; characterized by the core network module (7) which is configured to include an access and mobility function module (M) -a function that exists in the core network structure of 5G and beyond networks and allows users to access the network and mobility management; is responsible for the registration of user devices to the network, session management and location updates, tracks the mobility of users and keeps the user’s location in the network up to date based on this information; provides uninterrupted service while the user moves inside the network; collects data from xApps and rApps through the central data management module (4) and transmits it to the core network; collects request quantities and data on the current status of radio units; analyses the condition and identifies needs by using the location of the users to which they are connected; analyses the conditions and identifies needs by taking into account the request quantities and the current state of the network; manages configuration by using data such as request quantities, user locations, points at which the users connect to the radio units; determines the requests to be accepted and rejected on a network basis; collects core network configuration and authorisation changes and transmits them to the central data management module (4); transmits core network changes to the distributed data management module (3) using the interface to the centralised data management module (4) and core network changes to the radio data management module (2) using the interface to the distributed data management module (3).

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