Multi-Parameter Based Dynamic Mesh Slice Orchestration System and Method for Unmanned Aerial Vehicles

TR202614088A2Pending Publication Date: 2026-09-21AVEA ILETISIM HIZMETLERI ANONIM SIRKETI (TEKNOLJI MERKEZİ)
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Patent Information

Application Number
TR202614088
Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2026-08-19
Publication Date
2026-09-21

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Abstract

The invention relates to a system and method for dynamic network slice orchestration based on multiple parameters for unmanned aerial vehicles (UAVs) communicating over cellular networks. It enables the collection and monitoring of UAV mission, movement, and traffic parameters, as well as network parameters related to coverage, connection quality, and resource utilization in the mobile communication network, by modules running on software on an electronic processing unit. These parameters are then evaluated together to dynamically determine the appropriate network slice for the UAV. Furthermore, the selected network slice can be created, updated, or reconfigured during operation based on changes in mission phase, traffic characteristics, or network conditions, ensuring high reliability and low latency in critical command and control traffic.In services requiring high bandwidth, it supports efficient network resource utilization and enhances the continuity of UAV communication and operational safety.
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Description

1 TARIFF Multi-Parameter Based Dynamic Mesh Slice Orchestration for Unmanned Aerial Vehicles System and Method TECHNICAL FIELD The invention provides cellular solutions for 5G, 5G-Advanced, and future 6G mobile communications systems. Managing the communication needs of unmanned aerial vehicles communicating over networks It is related to the field. 10 The invention is particularly useful in terrestrial mobile networks with network slicing infrastructure and In hybrid structures where terrestrial networks and satellite communication systems work together, unmanned Communication required by aircraft according to mission, traffic and operational conditions. multi-parameter based, dynamic and context-aware network slice of services 15 It is aimed at achieving this through orchestration. PREVIOUS TECHNIQUE Although the concept of network slicing is defined in current mobile communication systems, 20 These structures are mostly designed according to static or semi-static scenarios. Current applications used in unmanned aerial vehicles are generally predefined. Communication is provided over a network segment for the entire duration of the operation or only the service Depending on the type, a limited network slice selection is made. These approaches are used in unmanned aerial vehicles. their vehicles must have high mobility, handle changing traffic types during missions, and be environmentally conscious. It does not adequately take into account the conditions, coverage status, and network load. Current solutions handle different traffic types such as command and control traffic, video streaming, and telemetry. Moving within the same network segment can lead to unnecessary network resource consumption or in critical services. This can lead to a decrease in communication quality. Furthermore, in existing systems, unmanned 30 depending on the aircraft's operational phase, mission priority, or changes in immediate network conditions. Automatic and comprehensive restructuring of the network segment is not possible. As a result of research conducted in the literature, publication number US20220386147A1 and “Network- "Drived, location-aware, dynamic slice management for drones" (35 by network for UAVs) patent document titled (directed, location-aware dynamic network slice management) It has been found. The document in question depends on the position of a UAV along its flight path. 2 The application uses location, time, and service experience information to determine suitable network slots. It describes the prediction and dynamic management of available network slices. However, the document includes mission type, flight speed, altitude, payload, traffic types, and service. priority is given to real-time radio link quality, coverage, and network density for UAVs and networks. Determining the network slice by evaluating the parameters together through separate modules and 5 an orchestration unit based on the task phase, traffic characteristics, or changes in network conditions. technical terms such as creation, updating or restructuring by The plot is not explained. As a result of research conducted in the literature, publication number US20220046528A1 and “Unmanned 10 aerial vehicle detection, slice assignment and beam management” (Unmanned aerial vehicle A patent document titled "Detection, Network Slice Assignment and Beam Management" was also found. The document in question concerns UAV detection and the type, use, or service quality of the UAV. Network slice assignment according to requirements, data usage requirements during flight Dynamic switching of the assigned network slice and radio beam management depending on the connection. 15 This explains. However, the task involves movement and traffic parameters, as well as coverage, connection quality, and Multi-parameter analysis based on separate monitoring and combined evaluation of resource usage. decision structure and selected network slice during operation according to task and network conditions The restructuring by the orchestration unit is not explained. Ultimately, the problems mentioned above, which cannot be solved with current technology, are the subject of this technical analysis. This has made it necessary to make an innovation in the field. A BRIEF DESCRIPTION OF THE INVENTION The invention aims to eliminate the aforementioned disadvantages and introduce new technologies to the relevant technical field. Multi-parameter based dynamic network for unmanned aerial vehicles to bring advantages My segment is related to orchestration systems and methods. The main purpose of the invention is to provide a static or semi-static 30-degree network slicing structure used in UAV communication. Dynamics that evaluate task, movement, traffic and network parameters together by extracting them from the structure. and to provide context-sensitive communication management. Another purpose of the invention is to analyze the UAV's mission type, flight speed, altitude information, payload, and traffic generated. Types and service priority, as well as real-time radio link quality, coverage status, and network density. 35 3 Based on parameters such as these, the appropriate network slot is automatically determined and, if necessary... The goal is to ensure its restructuring during the process. Another objective of the invention is to provide high reliability and low latency for critical command and control traffic. while ensuring efficient use of network resources in services requiring high bandwidth. 5 to provide. Another purpose of the invention is to analyze the UAV's mission phase, traffic characteristics, or instantaneous network conditions. The network zone selection is automatically updated according to the changes that occur, and Maintaining the continuity of communication quality while the UAV operation continues is crucial. to provide. Another aim of the invention is to enable more efficient use of network resources and UAV operations. to increase continuity and security and to make UAV communication more reliable and flexible, The aim is to enable scalable and efficient management. 15 All the purposes mentioned above and those that will emerge from the detailed explanation below. The invention aims to create an unmanned aerial vehicle that communicates over a cellular network. The network slice used by the vehicle is dynamically adjusted according to changing task, traffic and network conditions. It is a system that enables the identification and restructuring of the data during the study, 20 feature;  Generating different types of traffic depending on its function, and a cellular mobile communication network unmanned aerial vehicle communicating via,  operates via software running on an electronic processing unit and UAV 25 collects mission, movement, and traffic parameters of the unmanned aerial vehicle. parameter collection module,  mobile, operating via software running on an electronic processing unit. a network that monitors coverage, connection quality, and resource usage in a communication network parameter monitoring module,  UAV 30, which operates via software running on an electronic processing unit. output of the parameter collection module and output of the network parameter monitoring module by evaluating together, determining the appropriate network segment for the unmanned aerial vehicle. dynamic network slice decision mechanism,  operates via software running on an electronic processing unit and By receiving the output related to the network slice determined by the dynamic network slice decision mechanism, 35 creation, updating or redoing of the network slice in question Network slice orchestration unit that manages its configuration, 4  Provides radio access between unmanned aerial vehicles and mobile communication networks. base station It includes. The invention also includes the continuous monitoring of the UAV's mission, movement, and traffic parameters. data collection and evaluation, coverage status in the mobile communication network, connectivity Monitoring quality and resource utilization, and selecting the appropriate network based on collected UAV and network parameters. Dynamic determination of the network slice, depending on the task or network conditions. updating or restructuring and improving communication quality for different traffic types. Ensuring continuity and efficient use of network resources is a process flow-based 10 a method is presented. The structure of the invention and the best understanding of its advantages, including additional components. This should be evaluated together with the figures explained below. BRIEF DESCRIPTION OF THE FIGURES Figure 1 shows the data and orchestration relationship between the technical elements of the system described in the invention. This is a representative block diagram illustrating the problem. Figure 2 shows the evaluation of UAV and network parameters in the method described in the invention, resulting in a network segment of 20. It is a representative flowchart showing the process flow leading up to the update. The drawings do not necessarily need to be scaled and are necessary for understanding the invention. Details that are not present may have been overlooked. Furthermore, at least to a significant extent... Identical elements or elements with similar functions are numbered 25 It is shown. REFERENCE NUMBERS 1. Unmanned aerial vehicle 30 2. UAV parameter acquisition module 3. Network parameter monitoring module 4. Dynamic network slice decision mechanism 5. Network Slice Orchestration Unit 6. Base station 35 1001. Continuous collection of mission, movement and traffic parameters of the UAV and evaluation 1002. Coverage status, connection quality and resource utilization in the mobile communications network. monitoring 1003. Based on the collected UAV and network parameters, the most suitable network segment for the UAV is 5. dynamic determination 1004. Updating the network segment determined according to the UAV's mission or network conditions, or restructuring 1005. Ensuring the continuity of communication quality and the efficient use of network resources for different traffic types. ensuring its use 10 DETAILED DESCRIPTION OF THE INVENTION This detailed explanation describes the multi-parameter requirements for unmanned aerial vehicles, which are the subject of the invention. The dynamic network slice orchestration system and method based on this is only for a better understanding of the subject. 15 It is explained with examples that do not create any limiting effect on understanding. The unmanned aerial vehicle (1) included in the invention, depending on its mission, command and control, cellular mobile communication network that generates different types of traffic such as video streaming, telemetry and so on. It is an aircraft that communicates via. The UAV parameter collection module (2) is an electronic processing unit. The mission type of the unmanned aerial vehicle (1) which operates through the software run on the unit, flight speed, altitude information, payload, types of traffic generated, service priority, mission status, and It is a technical unit that collects parameters, including motion information. Network parameter monitoring module (3), mobile and operating via software run on an electronic processing unit. instantaneous radio link quality, coverage status, network density and 25 in the communication network It is the technical unit that monitors resource usage. Dynamic network slice decision mechanism (4), a UAV parameters that operate via software running on the electronic processing unit. Parameters received from the collection module (2) and from the network parameter monitoring module (3) evaluating network parameters together and the characteristics of existing network segments and services Technical 30 that determined the appropriate network slice for the unmanned aerial vehicle (1) taking into account its priorities. Network slice orchestration unit (5) is a unit that runs on an electronic processing unit. network slice determined by the dynamic network slice decision mechanism (4) which operates via software receives the relevant output and creates, updates, or redoes the selected network slice. It is the technical unit that manages the configuration of the base station (6), unmanned aerial vehicle (1) and mobile 35 and allows monitoring of coverage and connectivity conditions on the network side. 6 In one configuration of the invention, the network slice orchestration unit (5) is the mission phase of the UAV. changes, differences in the characteristics of the traffic generated, or significant changes in network conditions. If a change occurs, it automatically updates the network zone selection or It restructures the existing network slice. This process is carried out by the unmanned aerial vehicle (1) This can be carried out while the operation is ongoing, thus allowing the UAV to have variable and dynamic capabilities. Communication needs are addressed in a context-sensitive manner. Critical command and control. while ensuring high reliability and low latency in traffic such as video streaming. Efficient use of network resources is considered in services requiring high bandwidth. This is done to prevent different types of traffic from being necessarily transported within the same network segment. unnecessary resource consumption and a decrease in the quality of critical services that may result from this 10 can be reduced. The invention is applicable to terrestrial 5G and 5G-Advanced mobile networks with network slicing infrastructure, future 6G mobile communication systems and terrestrial and satellite communication It can be applied in hybrid structures where the systems work together. The invention is a 15 In its structure, the system provides UAV communication services for mobile network operators. It can be used in public safety, logistics and cargo UAV operations. UAVs in the context of industrial inspection, smart city applications and emergency communication. It can be implemented to manage communication in a more reliable, flexible and efficient way. Multiple Thanks to parameter-based decision-making and dynamic orchestration, network resources can be used more effectively. The use of these systems ensures the continuity of communication quality and the continuity of UAV operations. Security can be enhanced. The system adapts to changing task and network conditions. a flexible, scalable and context-aware network slice orchestration structure It offers. The steps involved in the process are as follows: - Continuous collection of mission, movement, and traffic parameters of the UAV, and evaluation (1001), - Coverage status, connection quality and resource utilization in the mobile communication network. monitored (1002), 30 - Depending on the collected UAV and network parameters, the most suitable network segment for the UAV dynamic determination (1003), - Updating the network slice determined according to the UAV's mission or network conditions, or restructuring (1004),  Ensuring the continuity of communication quality and the efficient use of network resources for different traffic types 35 ensuring its use (1005). 7 The working principle of the invention is based on the connection between the unmanned aerial vehicle (1) and the mobile communication network. Operational parameters of the UAV during communication via station (6) and Network parameters are continuously monitored and evaluated. UAV parameters The collection module (2) collects information about the UAV’s current mission status, movement and the types of traffic it generates. While collecting information on the network parameters, the monitoring module (3) monitors coverage, connection quality, network 5 It monitors information on density and resource use. From the unmanned aerial vehicle (1) and The information obtained from network elements including the base station (6) is a dynamic network slice. The dynamic network slice decision mechanism (4) is transferred to the decision mechanism. network slice characteristics, instantaneous network load, coverage conditions, and service priorities By evaluating together, it selects the appropriate network slice for the unmanned aerial vehicle (1). Selection 10 The result is transmitted to the network slice orchestration unit (5) on the network side and the selected network The segment is being created, updated, or restructured. The mission phase of the UAV. when traffic characteristics change, or when there is a significant change in network conditions When this happens, the same decision-making and orchestration processes are updated and applied to unmanned aerial vehicles. The continuity of communication quality is maintained while the operation of the vehicle (1) continues. 15

Claims

8 REQUESTS 1. The changing mission of an unmanned aerial vehicle communicating over a cellular network, Dynamic determination of the network slice used based on traffic and network conditions, and A dynamic network slice 5 developed for restructuring during operation It is an orchestration system; its characteristic feature is:  Generating different types of traffic depending on its function and cellular mobile communication unmanned aerial vehicle communicating over the network (1),  operated through software running on an electronic processing unit; - Task, movement and traffic received from unmanned aerial vehicle (1) 10 UAV parameter collection module (2) which collects parameters, - Coverage, connection quality, and resources received from the mobile communication network. Network parameter monitoring, which monitors network parameters related to usage. module (3), - Network parameter monitoring with output of UAV parameter collection module (2) 15 By evaluating the output of module (3) together, the unmanned aerial vehicle (1) Dynamic network slice decision mechanism that determines the appropriate network slice. (4), - Network determined by the dynamic network slice decision mechanism (4) By obtaining the output related to the network segment, the creation of the network segment in question is performed, 20 network slice that manages updating or reconfiguring orchestration unit (5),  Radio access between unmanned aerial vehicle (1) and mobile communication network base station providing (6) It includes. 25 2. The system complies with Request 1 and its feature is; the UAV parameter collection module (2), task, Within the scope of movement and traffic parameters, mission type, flight speed, altitude information, and transported goods. The module collects load, generated traffic types, and service priority.

3. The system is compliant with Request 1 and its feature is; network parameter monitoring module (3), connection monitoring its quality as real-time radio link quality and within the scope of network parameters It also has a module that monitors network congestion.

4. The system is compliant with claim 1 and its feature is; dynamic network slice decision mechanism (4), UAV 35 In addition to network parameters, it also includes the characteristics of the existing network segments, in real-time. 9 a decision that considers network load, coverage conditions, and service priorities together It is the mechanism.

5. The system is compliant with claim 1 and its feature is that the network slice orchestration unit (5) is unmanned. Changes in the aircraft's mission phase, differentiation of traffic characteristics, or network 5 The network slice is automatically adjusted if a significant change occurs in the conditions. It is a unit that updates or restructures.

6. The system compliant with Claim 1, and its feature is that the base station (6) is connected to the network slicing infrastructure. 10 located on the radio access network of a 5G, 5G-Advanced or 6G mobile communications network The area is a base station.

7. The system is compliant with Claim 1 and its feature is that it produces different things by an unmanned aerial vehicle (1). Traffic types include command and control traffic, video streaming, and telemetry traffic.

8. Cellular communication via software running on at least one electronic processing unit. Multi-parameter based for a network-communicating unmanned aerial vehicle. It is a method for performing dynamic network slice orchestration, feature;  Continuous collection of UAV mission, movement, and traffic parameters 20 and evaluation (1001),  Coverage status, connection quality and resources in the mobile communication network monitoring of usage (1002),  The most suitable network for the UAV, depending on the collected UAV and network parameters. Dynamic determination of the slice (1003), 25  Updating the network slice determined according to the UAV's mission or network conditions. or restructuring (1004),  Ensuring the continuity of communication quality and network resources for different traffic types ensuring efficient use (1005) It includes the steps of the process. 30 9. This method complies with Claim 8 and its characteristic is that it involves the mission, movement, and traffic of the UAV. its parameters include mission type, flight speed, altitude information, payload, types of traffic generated, and the process step of collecting and evaluating within the scope of service priority It includes. 35 10. This method complies with Claim 8 and its characteristic feature is that it allows for the instantaneous radio link of network parameters. monitoring in terms of quality, coverage status, network density and resource usage. It includes the process step.

11. This method complies with Claim 8 and its characteristic is that the most suitable network slice is dynamically selected. Factors used in determining this include the characteristics of the available network segments, the instantaneous network load, and coverage conditions. This involves a step of jointly evaluating service priorities.

12. This method complies with Claim 8 and its characteristic is; updating or reconfiguring the network slice. The configuration process step involves changing the UAV's mission phase, traffic 10 a difference in its characteristics or a significant change in network conditions It includes the process step that is carried out upon arrival.

13. This method complies with Claim 8 and its characteristic feature is that it integrates network parameters into the network slicing infrastructure. having 5G, 5G-Advanced or 6G mobile network or terrestrial network and satellite 15 obtained from the hybrid communication structure with which the communication system works It includes the process step.