Predictive Service Migration and Adaptive Service Chain Management System with Digital Twin Support in 6G Networks

Abstract

The invention relates to a network management system that optimizes user experience in 6G networks. The system includes a Motion and Service Prediction Module (1), Digital Twin Simulation Unit (2), Closed-Loop Optimization Engine (3), Adaptive Service Chain Manager (4), Edge Server Resource Management Unit (5), and Real-Time Network Monitoring Sensor (6). The system proactively moves network functions by predicting the user's direction of movement, service needs, and channel quality, and dynamically reconstructs the service chain with digital twin-based simulations. In this way, latency in the network is minimized and resource utilization is optimized.

Description

1 TARIFF Predictive service migration and adaptive response supported by digital twinning in 6G networks. SERVICE CHAIN ​​MANAGEMENT SYSTEM Technical Area 5 The invention relates to a network management system that optimizes user experience on 6G mobile networks. Specifically, the invention uses user mobility, service demand, and channel quality data to develop a network. proactively transferring functions and the service chain with digital twin-based simulations It is a dynamically reconfigurable system. 10 State of the Art In current 5G and older generation networks, the service function chain (SFC) is either statically or semi-dynamically active. This is being done in a way that allows the network to be prepared for sudden traffic surges or security threats. This restricts its flexibility. In current systems, service migration involves users moving from one cell to another. Because it happens after the transition, there are delays on the order of milliseconds during the transition. This is happening. Furthermore, network optimizations are generally tested on the actual network. This is being implemented, which leads to service interruptions in case of incorrect configurations. The current situation... The techniques holistically anticipate the user's future location and service needs. It is unable to allocate resources by evaluating them. These shortcomings are particularly evident in ultra-reliable low-cost solutions. This makes it difficult to meet delayed communication (URLLC) requirements. Purpose of the Invention The invention aims to seamlessly enhance the user experience and optimize network resources on 6G networks. It offers a solution for this purpose. The main objective of the invention is to determine the user's direction of movement. By analyzing service needs and channel quality, network functions are targeted at the user. The goal is to transfer the data to the relevant end server before it reaches the region. This ensures service continuity. Transition delays are minimized. The invention utilizes digital twin technology to create a true 30 It simulates thousands of scenarios without posing any risk to the network. The configuration that provides the lowest latency and energy consumption based on simulation results. This is determined and automatically applied to the actual network. Furthermore, the service function chain; It is updated in real-time according to parameters such as traffic type, attack risk, and user density. 2 This innovative approach improves the network in terms of both security and performance. It ensures continuous optimization. Figures that will help understand the invention. Figure 1 shows a general representation of the system that is the subject of the invention. Explanation of Part References 1: Movement and Service Forecasting Module 10 2: Digital Twin Simulation Unit 3: Closed-Loop Optimization Engine 4: Adaptive Service Chain Manager 5: Edge Server Resource Management Unit 6: Real-Time Network Monitoring Sensor 15 Detailed Description of the Invention The invention proactively manages user mobility and service needs in 6G networks. It is a digital twin-supported network optimization system. The system uses 20 inputs from user devices. Motion and Service Prediction Module that processes location, speed, direction and application usage data. It starts with (1). Motion and Service Prediction Module (1), historical data and instantaneous signal strength. By analyzing their changes, we can determine the user's transition time to the next cell and what they will need. It calculates bandwidth. This module takes into account not only the location but also which user's location is being considered. 25% estimate that they will use the service (e.g., VR / AR, high-definition video, industrial control) by doing so, it creates triggers for service migration. The Digital Twin Simulation Unit (2) works by creating an exact virtual copy of the physical network. Traffic density, channel quality and collected by the Real-Time Network Monitoring Sensor (6) Energy consumption data is transferred to this unit. Digital Twin Simulation Unit (2), Motion and Service By taking the predictions generated by the Prediction Module (1), thousands of different network configurations 30 It runs the scenario in a virtual environment. During these simulations, different service functions Supply chain sequences and resource allocation models are tested. Closed Loop Optimization Engine (3), produced by Digital Twin Simulation Unit (2) It is a decision-making mechanism that analyzes the results. This engine selects the most suitable option among the simulation results. It selects the optimal configuration that provides the lowest latency and the lowest energy consumption. 35 The selected configuration must be checked for security and SLA (Service Level Agreement) before being applied to the actual network. 3 It is audited for compliance with the criteria of the Agreement. The closed-loop mechanism is real. by continuously sharing the feedback from the network with the Digital Twin Simulation Unit (2) It ensures the model is constantly updated. Adaptive Service Chain Manager (4) controls the service functions (firewall, DPI, load) on the network. It dynamically adjusts the ranking of (balancer, etc.). This unit takes into account traffic type, attack risk, and 5 It takes parameters such as user density as input. For example, detecting a DDoS attack. when implemented, it moves safety functions to the very beginning of the supply chain; in normal traffic conditions To reduce delays, it transforms security controls into a more streamlined structure. This This process ensures the efficient use of network resources while maintaining quality of service (QoS). Edge Server Resource Management Unit (5), network 10 according to estimated user movement It is responsible for proactively carrying out its functions. The Motion and Service Prediction Module (1) is a When the End Server Resource anticipates that the user will move from area A to area B, The Management Unit (5) pre-installs the necessary service functions on the end server in region B. This process ensures that services are ready when the user arrives in area B, thus performing a "handover". It completely eliminates any interruptions that may occur during the process. 15 The system's operating scenario is as follows: The Real-Time Network Monitoring Sensor (6) monitors the network It collects all traffic and user data and the Motion and Service with Digital Twin Simulation Unit (2). The Prediction Module (1) transmits the information to the units. The Movement and Service Prediction Module (1) allows the user to... It determines its future location and service needs. The Digital Twin Simulation Unit (2) determines this. By generating thousands of scenarios based on predictions, it determines the most efficient network configuration. Closed 20 The Loop Optimization Engine (3) selects the most suitable configuration and the Adaptive Service Chain Updates the order of service functions through its manager (4). Finally, the End Server Resource Management Unit (5), the specified services are routed to the endpoint in the region where the user will go. It transmits it to the server. The originality of the invention lies in the closed 25-minute gap between digital twin-based simulation and real network management. It stems from loop integration. Current systems are based only on historical data. While other systems make reactive decisions, this system makes proactive decisions by simulating future situations. In addition, the service chain is re-energized in real-time according to traffic type and safety risk. This ranking meets the ultra-low latency and high security needs required by 6G networks. They meet simultaneously. 30 35

Claims

4 REQUESTS 1. It is a network management system that optimizes user experience on 6G networks, and its features include: - Location, speed, direction, and application usage data from user devices. by processing the user's future direction of movement, service needs and channel quality 5 Predicting Motion and Service Prediction Module (1), - Testing different network configuration scenarios by creating a virtual copy of the physical network. Digital Twin Simulation Unit (2), - Among the simulation results, the one that provides the lowest latency and energy consumption. Closed Loop Optimization Engine (3), which selected the configuration, 10 - Service based on traffic type, attack risk, user density, and latency sensitivity. Adaptive Service Chain Manager (4), which instantly rearranges the function chain, - Transferring network functions to the relevant end server based on predicted user activity. Edge Server Resource Management Unit (5) and - 15 that collects and transmits network traffic, channel quality and energy consumption data to other units. Real-Time Network Monitoring Sensor (6) It includes.

2. According to Claim 1, a network management system that optimizes user experience on 6G networks. Its feature is; it analyzes the scenarios produced by the Digital Twin Simulation Unit (2). by selecting the configuration that provides the lowest latency and energy consumption, auditing the configuration according to security and SLA criteria and applying it to the actual network. It includes a Closed Loop Optimization Engine (3).

3. According to claim 1, a network management system that optimizes user experience on 6G networks 25 Its characteristics include traffic type, attack risk, user density, and latency sensitivity. It takes data as input and instantly reconstructs the service function chain based on this data. Adaptive Services prioritizes and thus enables efficient use of network resources. It includes the Chain Manager (4).

4. According to Claim 1, a network management system that optimizes user experience on 6G networks. its feature is; predictions generated by the Motion and Service Prediction Module (1) Accordingly, network functions are activated at the relevant endpoint before the user even reaches the target region. It includes the Edge Server Resource Management Unit (5) which carries the data to the server.

5. According to claim 1, a network management system that optimizes user experience on 6G networks 35 Its feature is that it collects network traffic, channel quality and energy consumption data to create a Digital Twin. Reality transmitted to Simulation Unit (2) and Motion and Service Prediction Module (1) It includes a Timed Network Monitoring Sensor (6).

6. According to Claim 1, a network management system that optimizes user experience on 6G networks. Its feature is; location, speed, direction and application usage data from user devices. By processing the data, we can predict the user's future direction of movement, service needs, and channel. It includes the Motion and Service Prediction Module (1) which predicts the quality. 15 25 35

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