Real-time optimization and active intervention system for online gaming traffic in Low Earth Orbit satellite networks.

Abstract

The invention is based on the principle of monitoring and analyzing performance parameters such as latency, jitter, and packet loss in real time during the transmission of online gaming traffic over low Earth orbit (LEO) satellite networks, and performing active optimization and mitigation on the network based on the results of this analysis.

Description

1 TARIFF Real-time data for online gaming traffic on low-earth orbit satellite networks. Optimization and Active Intervention System Technical Area 5 The invention is for low Earth Orbit (LEO) satellite communication networks. in the field of telecommunications infrastructures and real-time data transmission systems It is used particularly to improve network performance, such as latency, jitter, and packet loss. Data for online gaming applications that are sensitive to parameters It was developed to optimize traffic. 10 State of the Art In existing online gaming and cloud gaming infrastructures, the network Monitoring and managing performance is typically done using standard telecommunications QoS. This is achieved through mechanisms and basic traffic prioritization methods. However, 15 These approaches are particularly relevant in low Earth orbit (LEO) satellite-based communication environments. It is insufficient to meet the precise timing requirements of the traffic. A significant portion of current systems are based on monitoring and reporting network performance. Parameters such as latency, jitter, and packet loss are measured, but this data... They are mostly evaluated using reactive (post-intervention) methods. This situation, 20 This leads to intervention only after a performance drop has occurred. Frequent satellite handovers, beam changes, and Due to variable connection quality, latency and jitter values ​​change dynamically. Current solutions can predict this variability in real time and automatically operate on the network. It does not have sufficient mechanisms capable of optimization. 25 Also in current applications: Gaming traffic is generally classified within general data traffic, but analysis is specific to gaming sessions. Granular (fine-grained) traffic management remains limited. Traffic prioritization is done via static QoS profiles, real-time game session optimization. It is not dynamically updated according to delay requirements. 30 Route optimization at the satellite and gateway level is mostly based on fixed rules or predefined methods. It is implemented through policies, adaptive optimization based on real-time network conditions. It is not being done. Even when artificial intelligence or analytical systems are used, the outputs of these systems often do not influence decisions. 35 that remain at the support level and enable direct automated action on the network. Closed-loop mechanisms are not sufficiently available. 2 To protect against sudden increases in latency and jitter fluctuations that occur during gaming sessions. Proactive (preventive) intervention mechanisms are limited. For these reasons, current systems cannot handle millisecond-level real-time traffic, which is critical for online gaming. It fails to provide latency stability and causes fluctuations in user experience. This is the reason. 5 Due to the shortcomings described above, an improvement in the relevant technical field is necessary. It has been made. Purpose of the Invention The invention was created by drawing inspiration from existing situations and addressing the aforementioned drawbacks. 10 It aims to solve the problem. The main purpose of the invention is to reduce the volume of online gaming traffic. Latency, or jitter, is the delay that occurs during transmission via networks of satellites in Earth orbit (LEO). real-time monitoring and analysis of performance parameters such as packet loss. and active optimization and intervention on the network based on the results of this analysis 15 (mitigation) is to ensure that it is carried out. Another aim of the invention is to enable game traffic to be transmitted with lower latency. Dynamic route optimization, traffic prioritization, and QoS are implemented in LEO satellite networks for this purpose. The goal is to ensure (Quality of Service) adjustments and adaptive management of network resources. Another aim of the invention is to reduce network latency and connection issues, which directly affect the gaming experience. Real-time analysis and active networking that helps reduce instability problems. The goal is to develop a LEO satellite communication system that provides optimization. The structural and characteristic features and all the advantages of the invention are given in the figures below. Thanks to the detailed explanation written with references to the figures, it becomes clearer. It will be understood. 25 Explanation of the Figures Figure 1 shows the workflow of the system described in the invention. Description of Part References 30 100. User terminal 110th Satellite Constellation 120th Ground Station 130. Telemetry module 140. Analysis and forecasting engine 35 150. Optimization engine 3 160. Active intervention module 170. Feedback module Detailed Description of the Invention In this detailed explanation, the preferred configurations of the system in question are just 5. This will contribute to a better understanding of the subject and will not have any limiting effects. The invention enables online gaming traffic to be routed through low Earth orbit (LEO) satellite networks. performance issues such as latency, jitter, and packet loss that occur during transmission. real-time monitoring and analysis of parameters and the results of these analyses Depending on the situation, active optimization and mitigation are performed on the network. 10 It is based on the principle. In a preferred application of the system that is the subject of the invention, user terminals (100) The generated game traffic is sent to the ground station (120) via satellite constellation (110). Performance data regarding game traffic passing through the network is transmitted via the telemetry module. (130) is collected in real time by the telemetry module (130), game 15 Critical performance aspects such as latency, jitter, packet loss, and throughput related to sessions. It continuously monitors its parameters. The collected data is transferred to the analysis and prediction engine (140) where artificial intelligence based The methods carry the risk of delays, traffic congestion, and performance degradation. is being analyzed. 20 According to the analysis and prediction results obtained, the optimization engine (150) is the most suitable for the network. It dynamically determines route selection, satellite / beam routing, and QoS parameters. These decisions are then directly on the network by the active intervention module (160). is implemented. Active intervention module (160), traffic routing changes, beam Operations such as switching, gateway failover, and QoS updates are performed in real time on 25 By doing so, it directly optimizes the transmission conditions of game traffic. The new network status resulting from the implemented operations, feedback module (170) It is fed back into the system by the system, and thus the system constantly updates itself. It operates using a closed-loop optimization structure that updates itself. In conclusion, the invention is a data collection, analysis, and optimization system specifically designed for gaming traffic. 30 and by integrating active intervention steps in LEO satellite networks It operates as a real-time, autonomous, and closed-loop network optimization system.

Claims

4 REQUESTS 1. Real-time for online gaming traffic on low Earth orbit (LEO) satellite networks. It is a system that provides optimization and active intervention, and its feature is; • Satellite constellation of game traffic generated via user terminals (100) (110) 5 that enables transmission to the ground station (120) via • Real-time performance data on game traffic passing through the network collecting critical data related to game sessions such as latency, jitter, packet loss, and throughput. Telemetry module (130) which continuously monitors performance parameters, • Receive data collected by the telemetry module (130) and use AI-based methods 10 that analyze the risks of delays, traffic congestion, and performance degradation. analysis and prediction engine (140), • According to the analysis and prediction results obtained by the analysis and prediction engine (140), the network Dynamically selects the most suitable route, satellite / beam routing, and QoS parameters. determining optimization engine (150), • Implementing the decisions determined by the optimization engine (150) directly on the network, 15 traffic routing changes, beam switching, gateway failover, and QoS updates, etc. By performing operations in real time, it directly controls the transmission conditions of game traffic. optimizing active intervention module (160), • new network created as a result of operations performed by the active intervention module (160) feedback module (170) 20 that feeds the status back to the system It includes.

2. It is a system that complies with System 1 and its feature is that it collects data by the telemetry module (130). With field and artificial intelligence-based methods, the risk of delay, traffic congestion, and It includes an analysis and prediction engine (140) that analyzes the probabilities of performance degradation.

3. It is a system that conforms to Request 1 and its feature is that it is 25 obtained by the analysis and prediction engine (140). Based on analysis and prediction results, the most suitable route selection for the network, satellite / beam routing, and It includes an optimization engine (150) that dynamically determines QoS parameters.

4. The system is compliant with Request 1 and its feature is determined by the optimization engine (150). implementing decisions directly on the network, traffic routing changes, beam switching, By performing operations such as gateway failover and QoS updates in real time, 30 Active intervention module that directly optimizes the transmission conditions of game traffic (160) It includes.

5. It is a system that complies with Request 1 and its feature is implemented by the active intervention module (160). feedback that feeds the new network state resulting from the operations back into the system. It includes module (170). 35

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