A method and device for optimizing mobile communication deterministic network service scheduling

Abstract

The present application discloses a method for optimizing the scheduling of mobile communication deterministic network services, including: allocating service PCP values ​​to service flows in the TSN network, determining the PCP queues for the services transmitted in TAS gating; determining service flow parameters and flow performance requirements, and performing 5QI mapping on the service flows; for existing services, using the service PCP value as a constant, the TAS gating configuration and the 5G resource reservation ratio as optimization variables, optimizing and calculating the Pareto optimal solution of the joint configuration of the TSN side and the 5G side; and, for new services, using the TAS gating configuration and the 5G resource reservation ratio as constants, and the service PCP value as an optimization variable, optimizing and calculating the Pareto optimal solution of the service PCP value. The present application also includes an apparatus for implementing the method. The present application solves the problem that the scheduling of 5G and TSN cannot be coordinated with each other.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a method and device for optimizing mobile communication deterministic network service scheduling. Background Art

[0002] With the rapid development of fields like the Industrial Internet, autonomous driving, and smart manufacturing, the demand for network performance is increasing, particularly in terms of data transmission reliability, latency, and bandwidth. Traditional network technologies often struggle to meet these requirements. To achieve deterministic network service delivery for mobile communications, 5G and Time-Sensitive Networking (TSN), two emerging communication technologies, offer high bandwidth, low latency, and high reliability, while providing powerful support for a wide range of application scenarios. To further optimize applications with extremely high timeliness requirements, such as industrial control and real-time video transmission, the integration of 5G and TSN has become a hot topic of research.

[0003] 5G, the fifth generation of mobile communications technology, features extremely high data rates, ultra-low latency, massive device connectivity, and network slicing. These characteristics enable 5G networks to provide reliable communication services in a variety of applications, particularly in low-latency, ultra-reliable scenarios. Transition-Sensitive Networking (TSN) is an Ethernet-based network technology designed to provide reliable and predictable services for time-sensitive applications. TSN introduces a series of synchronization and scheduling mechanisms, such as the generalized precision time protocol (gPTP) and the time-aware shaper (TAS), to ensure precise control of latency and bandwidth when handling high-priority traffic. With the continuous development of the Industrial Internet of Things, automated manufacturing, intelligent transportation, and other fields, the requirements for network latency accuracy and reliability are becoming increasingly stringent. Against this backdrop, 5G TSN has emerged as a key technology to meet the needs of applications requiring high time accuracy and reliability. 5G TSN technology combines 5G networks and TSN technologies to support applications with higher requirements for latency, jitter, and reliability in areas such as the Industrial Internet of Things, automated manufacturing, and intelligent transportation. 5G can provide wide-area wireless access, and TSN can provide precise timing control and reliability assurance for local networks. Therefore, the combination of the two can achieve end-to-end highly reliable and low-latency scheduling.

[0004] In 5G networks, Quality of Service (QoS) is guaranteed through the 5G QoS Identifier (5QI). The 5QI describes the priority, latency, and throughput requirements of different service flows, providing different service guarantees for each traffic type in 5G networks. In TSN, traffic timing and priority management are implemented through the TAS gating mechanism. TAS uses time division multiple access (TDMA) technology to precisely control traffic flow. Each TSN switch sets a priority queue corresponding to eight priority code points (PCPs), ranging from 0 to 7. Traffic with a certain priority is transmitted only when the gate corresponding to that priority is open.

[0005] However, 5G network scheduling algorithms often focus on the wireless access portion, with little coordination between wireless access and wired transmission. While TSN can precisely control traffic within a local network, it primarily focuses on the wired portion and lacks support for end-to-end scheduling and cross-domain coordination. While 5G and TSN scheduling mechanisms each have their own advantages, in practical 5G-TSN applications, 5G links are often simply treated as logical bridges for TSN, without effectively integrating the two scheduling approaches. The 5G side prioritizes wireless resource allocation, while the TSN side focuses on Gate Control List (GCL) configuration. While various QoS mapping methods exist for traffic between 5G and TSN networks to ensure priority interoperability, their respective scheduling approaches remain fragmented, failing to achieve end-to-end coordination and meet the diverse performance requirements of various service flows. Summary of the Invention

[0006] This application proposes a method and device for optimizing the scheduling of mobile communication deterministic network services to solve the problem that the scheduling of 5G and TSN cannot be coordinated with each other.

[0007] The present invention provides a method for optimizing the scheduling of mobile communication deterministic network services, including the following steps:

[0008] Assign service PCP values ​​to service flows in the TSN network and determine the PCP queues in which services are transmitted in TAS gating.

[0009] Determine service flow parameters and performance requirements, and perform 5QI mapping on service flows;

[0010] Taking the service PCP value as a constant, TAS gating configuration and 5G resource reservation ratio as optimization variables, the Pareto optimal solution of the joint configuration of the TSN side and the 5G side is optimized and calculated.

[0011] In one embodiment of the present application, the following steps are further included:

[0012] Taking the TAS gating configuration and the 5G resource fast reservation ratio as constants and the service PCP value as the optimization variable, the Pareto optimal solution of the service PCP value is optimized and calculated.

[0013] Preferably, the optimization goal is to maximize the proportion of services that meet the flow performance requirements and / or maximize the remaining resources.

[0014] In one embodiment of the present application, the TSN control plane CUC network element determines the PCP value of the service flow according to the service type-priority mapping table as the queue for TAS gated transmission.

[0015] In one embodiment of the present application, 5GS receives the service flow parameters and flow performance requirements of TSN traffic from CNC through TSN AF of the control plane; the PCF network element determines the QOS profile of each traffic based on the service priority-5QI mapping table; and the SMF network element establishes a 5G QOS flow based on the profile.

[0016] In one embodiment of the present application, a first scheduling calculation unit is set in the 5G control plane PCF network element to perform optimization calculations on existing services.

[0017] In one embodiment of the present application, a second scheduling calculation unit is provided in the TSN control plane CUC network element, for performing optimization calculations on newly added services.

[0018] The embodiments of the present application further provide a mobile communication deterministic network service scheduling optimization device, which is used to implement the method described in any embodiment of the present application, including a CUC network element and a CNC network element of the TSN control plane, and a PCF network element of the 5G control plane;

[0019] The CUC network element is used to allocate service PCP values ​​to service flows in the TSN network and determine the PCP queue for service transmission in TAS gating;

[0020] The CNC network element is used to determine service flow parameters and flow performance requirements, and perform 5QI mapping on the service flow;

[0021] The PCF network element is used to optimize and calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side, using the service PCP value as a constant, the TAS gating configuration and the 5G resource reservation ratio as optimization variables.

[0022] In one embodiment of the present application, the PCF network element includes a first scheduling calculation unit for optimizing existing services. The PCP value of the service is used as a constant, and the TAS gating configuration and 5G resource reservation ratio are used as optimization variables to optimize and calculate the Pareto optimal solution for the joint configuration of the TSN side and the 5G side.

[0023] In one embodiment of the present application, a second scheduling calculation unit is included in the CUC network element for optimizing the calculation of the newly added service, wherein the Pareto optimal solution of the service PCP value is optimized and calculated using the TAS gating configuration and the 5G resource fast reservation ratio as constants and the service PCP value as an optimization variable.

[0024] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects:

[0025] To address the aforementioned issue of 5G and TSN scheduling being disconnected, the present invention proposes a method and device for optimizing service scheduling based on deterministic mobile communication networks, aiming to ensure the overall end-to-end transmission performance of services. This approach makes adjustments to network configuration and service priorities more flexible and unified, avoiding the need for frequent modifications to TSN gating and 5G's 5QI or slice configuration, and transforming the originally complex scheduling problem into a computable optimization problem. Furthermore, the scheduling method proposed in this article takes into account the end-to-end service transmission process, ensuring that the entire network, from wireless to wired, can work collaboratively to meet the quality of service requirements of various application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0027] Figure 1 This is the overall architecture diagram of 5G integrated with TSN;

[0028] Figure 2 This is a flow chart of a method for optimizing mobile communication deterministic network service scheduling proposed in this application;

[0029] Figure 3 This is an embodiment of a mobile communication deterministic network service scheduling optimization device proposed in this application. DETAILED DESCRIPTION

[0030] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions of this application will be clearly and completely described below in conjunction with the specific embodiments of this application and the corresponding drawings. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0031] The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

[0032] Figure 1 This is the overall architecture diagram of 5G integrated with TSN.

[0033] The architecture of the embodiment of the present application includes interconnected TSN network devices and 5G network devices. The TSN network includes TSN end devices and TSN switches connected thereto. The TSN control plane network elements include a Centralized User Configuration (CUC) network element and a Centralized Network Configuration (CNC) network element. The service configuration is sent to the TSN end device via the CUC network element, and the network configuration is sent to the TSN switch via the CNC network element. The 5G control plane includes interconnected application function (TSN Application Function, TSN AF) network elements, policy control function (PCF) network elements, network exposure function (NEF) network elements, session management function (SMF) network elements, access and mobility management function (AMF) network elements, and unified data management platform (UDM) network elements. The 5G digital plane includes interconnected device-side TSN converter (DS TT) network elements, user equipment (UE), 5G base station equipment (gNB), user plane function (UPF) network elements, and network-side TSN converter (NW TT) network elements.

[0034] In the overall 5G TSN architecture, the 5G System (5GS) logical bridge includes TSN translators (TTs) for both the data and control planes, enabling interoperability between the TSN and 5G domains. On the data plane, the TT function consists of network-side (NW) TT elements and device-side (DSTT) elements, providing adaptation support for the 5GS ingress and egress ports. On the control plane, the 5GS communicates with the Centralized Network Configuration (CNC) and Centralized User Configuration (CUC) elements via the TSN AF element to facilitate the exchange of network configuration, service configuration, mapping, and management information.

[0035] The core network elements of the device of this application include the TSN control plane CUC network element and the 5G control plane PCF network element. Other network elements related to the focus of this application are mainly TT network elements, TSN AF network elements and SMF network elements.

[0036] Figure 2 This is a flow chart of a method for optimizing mobile communication deterministic network service scheduling proposed in this application, comprising the following steps:

[0037] Step 10: Allocate a service PCP value for the service flow in the TSN network and determine the PCP queue in which the service is transmitted in TAS gating.

[0038] In one embodiment of the present application, the PCP value of a service flow is determined according to a service type-priority mapping table and used as the queue for transmission in TAS gating. For example, the centralized user configuration (CUC) network element assigns service PCP values, i.e., priority code points, to all service flows in the TSN network according to the service type-priority mapping method, and determines the PCP queue for service transmission in TAS gating.

[0039] In step 10, the flow set in the network is Indicates that the parameters of each flow, namely the business flow parameters described below, are composed of six tuples Composition, which respectively represents the source IP, destination IP, source port, destination port, flow size, and cycle period of the flow; flow performance requirements , respectively, represent four levels. For all service flows, the CUC network element determines the PCP value of each service flow according to the service type-priority mapping table shown in Table 1. The PCP value is the queue in which the service is transmitted in TAS gating.

[0040] Table 1 Service flow type-priority mapping table

[0041]

[0042] Step 20: Determine the service flow parameters and flow performance requirements, and perform 5QI mapping on the service flow.

[0043] In one embodiment of the present application, 5GS receives the service flow parameters and flow performance requirements of TSN traffic from the centralized network configuration CNC network element through the TSN AF network element of the control plane; the PCF network element determines the QOS profile of each traffic based on the service priority-5QI mapping table; the SMF network element establishes a 5G QOS flow based on the profile.

[0044] The CNC network element transmits service flow parameters and flow performance requirements to the 5G core network policy control function (PCF) network element via the TSN application function (TSN AF) network element. The PCF performs 5QI mapping on each service flow according to the mapping table. Specifically, the PCF network element selects the appropriate QoS profile for each flow based on the service priority-5QI mapping table shown in Table 2. It then notifies the SMF network element to establish a 5G QoS flow based on the profile, thus achieving QoS mapping between TSN and 5GS.

[0045] Table 2. Business priority-5QI mapping table

[0046]

[0047] It should be noted that this application discusses the 5G+TSN architecture. PCP values ​​are used in TSN to distinguish the importance of services, while 5G uses 5QI priorities to distinguish the importance of services. If you want 5G and TSN to interoperate and differentiate services based on their importance, you must let both 5G and TSN know which services are important. The service priority allocation process is carried out on the end side of TSN, so the importance of the service is first expressed by the PCP value, and the 5QI mapping is to convert the PCP value into 5QI priority, so that the 5G network can also allocate resources to the service based on its importance.

[0048] As shown in Table 2 - Service Priority - 5QI Mapping, 5QI mapping generates 5QI priorities based on the service's PCP value. 5QI mapping is a necessary process after assigning PCP values ​​in step 10. After mapping, service configuration is complete, and the next step is to configure network gating and resources.

[0049] There are many different methods for mapping 5QI, and there have been many studies on these methods. However, this application does not innovate or modify the mapping method, but only uses a simple and fixed mapping table for mapping.

[0050] Step 30: Taking the service PCP value as a constant, the TAS gating configuration and the 5G resource reservation ratio as optimization variables, optimize and calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side.

[0051] Step 30 optimizes existing services. Preferably, the optimization goal is to maximize the proportion of services that meet the flow performance requirements and / or maximize the remaining resources. The service PCP value is constant, that is, the corresponding 5QI priority remains unchanged.

[0052] In one embodiment of the present application, a first scheduling calculation unit is set in the 5G control plane PCF network element to perform optimization calculations on existing services.

[0053] The joint scheduling problem of existing services is summarized as an optimization problem. The service priority (i.e., the "service PCP value" mentioned above) is used as a constant, and the TAS gating configuration and 5G resource block reservation ratio in the TSN switch are used as optimization variables. The scheduling calculation unit in the PCF network element uses an optimization algorithm to calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side and issue it.

[0054] Assume that the current flow number is , then the joint scheduling optimization problem is modeled as follows:

[0055] Constant: Business Priority ( ), business flow parameters and network topology Here, the set of business priorities is represented by PRI express, Indicates the i Priority of the traffic flow.

[0056] Optimization variable: Time offset of service flow sending ( , CT represents the super cycle, i.e. the cycle of TAS gating), the opening time of each priority gate of TAS and duration , and the proportion of 5G resource reservation .in This value represents the percentage of reserved persistent resource blocks to the total resource blocks. Reserved resource blocks are used to transmit existing DC-GBR traffic. DC-GBR traffic is one of the service flows mentioned above. Refer to Table 2. Service flows with PCP priorities 4 to 7 are defined as DC-GBR traffic. For other sporadic and non-critical traffic, resource blocks are not reserved. Instead, resource blocks are dynamically allocated as the traffic arrives.

[0057] Optimization goal: Maximize the proportion of services that meet flow performance requirements: ( represents the set of services that meet the flow performance requirements), maximizing the remaining resources: 、 ( and They represent the maximization of the remaining available resources of the 5G resource block and TAS gating, respectively. The remaining resources include the reservation of 5G resources and the reservation of TAS gating resources).

[0058] Table 1 shows the meaning of the four different flow performance requirements, from arrive Flow performance requirements gradually decrease. The service flow's sending time offset, priority gate opening time, and 5G resource reservation ratio affect the proportion of services that meet flow performance requirements and the remaining resources. Briefly, the following describes the following: The service flow's sending time offset affects the time it takes for a flow to arrive at the TSN switch. Because TSN switches use the TAS gating mechanism, if a flow arrives within the gate opening time window, it can be transmitted directly without waiting. However, if a flow misses the gate opening time window, it must wait for the next gate opening time window. This increases the waiting time window, thus affecting flow performance requirements. If the waiting time exceeds a certain value, the service flow performance requirements cannot be met, causing the service to fail to meet the service flow performance requirements. The same applies to the priority gate opening time. Because the gate opening time window must be coordinated with the service traffic in the network, the time of gate opening also affects the flow performance requirements. The 5G resource reservation ratio is the time block reserved for DC-GBR traffic. If too much is reserved, many other low-priority services will not be able to meet the flow performance requirements. If too little is reserved, some DC-GBR traffic will not be able to meet the flow performance requirements. Description of the factors affecting the remaining resources: Among the remaining resources controlled by TAS, the time period in a time window when no business is using it is the remaining resource. As mentioned above, the sending time offset of the business flow and the opening time of the priority gate will affect the remaining resources controlled by TAS. Among the remaining resources controlled by 5G, the allocation of the above-mentioned 5G resource reservation ratio directly affects the remaining resources controlled by 5G.

[0059] The first scheduling calculation unit in the PCF network element ( Figure 3 As shown in the figure, use a suitable optimization algorithm to solve the above optimization problem. Taking the classic optimization algorithm genetic algorithm as an example, first initialize the population and optimize the variables (referring to the optimization variables in the optimization problem modeling, see above) 、 、 and ) is encoded so that each individual represents a possible solution, and each solution includes a Then, the fitness of each individual is evaluated, and the fitness function is weighted according to the two optimization objectives. The specific fitness function can be set as ,in, and is the weight coefficient and ; Subsequently, individuals are selected by using methods such as roulette wheel selection, and then crossover, mutation and other operations are performed on the selected individuals to generate a new generation of population as the parents of the next generation for genetic operations; finally, the algorithm stops when the maximum number of iterations or the convergence criterion of the solution is reached, and the individual with the best fitness is output as the final Pareto optimal solution.

[0060] After finding the optimal configuration, the PCF network element, through the SMF network element, ultimately instructs the gNB to allocate resource blocks according to the policy. Simultaneously, through the TSN AF network element, the CNC network element configures the TAS gating list according to the policy. At this point, the network is able to transmit traffic normally based on the policy configuration.

[0061] Step 40: Taking the TAS gating configuration and the 5G resource fast reservation ratio as constants and the service PCP value as the optimization variable, optimize and calculate the Pareto optimal solution of the service PCP value.

[0062] Step 40 optimizes the newly added services. Preferably, the optimization goal is to maximize the proportion of services that meet the flow performance requirements and / or maximize the remaining resources. It should be noted that service priority becomes a variable. When the service priority changes, the 5QI priority also changes (as shown in the mapping relationship in Table 2).

[0063] In one embodiment of the present application, a second scheduling calculation unit is provided in the TSN control plane CUC network element, for performing optimization calculations on newly added services.

[0064] For subsequent new services, the constants of the optimization problem become TAS gating configuration and 5G resource block reservation ratio, and the optimization variable becomes service priority (i.e., "service PCP value"). The second scheduling calculation unit in the CUC network element uses an optimization algorithm to calculate the Pareto optimal solution of service priority.

[0065] After the network is running normally, if you need to add new business transmission in the network, in order not to recalculate and change the configuration on the network side, you need to configure the appropriate business priority. Figure 2 The general service flow type-priority mapping method shown in the figure is used for mapping. Instead, it is necessary to calculate the optimal service priority and the sending time offset of the service flow so that the service can adapt to the network configuration while meeting the service flow performance requirements as much as possible. The service priority and sending time offset are calculated by the second scheduling calculation unit in the CUC network element. At this time, the service priority configuration optimization problem is a variant of the joint scheduling optimization problem in step 30. The service priority configuration optimization model is obtained by exchanging some constants and optimization variables of the joint scheduling optimization model, and is specifically expressed as follows:

[0066] Constant: The opening time of each priority door of TAS and duration , 5G resource reservation ratio , network topology , remaining available resources 、 And new business parameters .

[0067] Optimization variable: Business priority And the sending time offset of the new business flow .

[0068] Optimization goal: After adding new services, maximize the proportion of services that meet flow performance requirements: , and maximize the remaining resources after adding new services: 、 Business Priorities And the sending time offset of the new business flow How this affects the proportion of services that meet flow performance requirements and the remaining resources after adding new services is explained above and will not be repeated here.

[0069] The second scheduling calculation unit in the CUC network element (such as Figure 3 (as shown in Figure 1) uses an appropriate optimization algorithm to solve the above optimization problem, find the optimal service configuration, and then distribute the configuration. At this point, the network can adapt to the arrival of new services without changing the network configuration.

[0070] Figure 3 This is an embodiment of a mobile communication deterministic network service scheduling optimization device proposed in this application. The embodiment of this application also proposes a mobile communication deterministic network service scheduling optimization device, which is used to implement the method described in any embodiment of this application, including a CUC network element and a CNC network element of the TSN control plane, and a PCF network element of the 5G control plane;

[0071] The CUC network element is used to allocate service PCP values ​​to service flows in the TSN network and determine the PCP queue for service transmission in TAS gating;

[0072] The CNC network element is used to determine service flow parameters and flow performance requirements, and perform 5QI mapping on the service flow;

[0073] The PC network element F is used to optimize and calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side, using the service PCP value as a constant, the TAS gating configuration and the 5G resource reservation ratio as optimization variables.

[0074] In one embodiment of the present application, the PCF network element includes a first scheduling calculation unit for optimizing existing services. The PCP value of the service is used as a constant, and the TAS gating configuration and 5G resource reservation ratio are used as optimization variables to optimize and calculate the Pareto optimal solution for the joint configuration of the TSN side and the 5G side.

[0075] In one embodiment of the present application, a second scheduling calculation unit is included in the CUC network element for optimizing the calculation of the newly added service, wherein the Pareto optimal solution of the service PCP value is optimized and calculated using the TAS gating configuration and the 5G resource fast reservation ratio as constants and the service PCP value as an optimization variable.

[0076] It should be noted that the device of the present application also includes necessary network elements for connecting CUC network elements, CNC network elements and PCF network elements, such as Figure 1 Any network elements of the 5G control plane shown, such as the TSN-AF network elements and AMF network elements connected thereto, are not described here.

[0077] Therefore, if Figure 1 As shown, the present application also proposes a communication system for optimizing the scheduling of mobile communication deterministic network services, including the mobile communication deterministic network service scheduling optimization device, and further including the following Figure 1 The 5G data plane device, TSN switch and TSN end equipment are shown.

[0078] The proposed method for optimizing deterministic mobile communication network service scheduling involves end-to-end joint scheduling for the convergence of 5G and TSN. This optimization, as demonstrated in steps 30-40, addresses the fragmented nature of the traditional 5G and TSN scheduling mechanisms. This joint scheduling coordinates resource allocation between wireless and wired networks, achieving end-to-end optimized scheduling from wireless to wired, ensuring that the performance requirements of diverse traffic flows are fully met.

[0079] As described in steps 30-40 of the embodiment, the present invention transforms the complex 5G+TSN end-to-end scheduling problem into a computable two-stage optimization problem and solves the scheduling problem by solving different optimization objectives using an optimization algorithm. This approach greatly simplifies the scheduling problem, enabling 5G and TSN systems to effectively schedule according to real-time network conditions in dynamic traffic environments, thereby optimizing the transmission performance of traffic flows.

[0080] In terms of devices and systems, the newly added scheduling calculation unit in the PCF network element and CUC network element of the present invention provides an end-to-end scheduling solution in the real 5G-TSN network. While solving the existing business network configuration, it can adapt to new services without changing the network configuration, avoiding network fluctuations and various problems caused by frequent modifications to the network configuration. At the same time, on the basis of ensuring flow performance requirements, it greatly reduces configuration complexity and improves the scalability of the network.

[0081] It should also be noted that the terms "include," "comprises," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, the elements defined by the phrase "comprises..." do not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the elements.

[0082] Those skilled in the art will understand that, unless otherwise stated, the singular forms "a," "an," "said," and "the" may also include plural forms. It should be further understood that the term "comprising" used in the description of the present invention refers to the presence of the stated features, integers, steps, operations, elements, and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, network elements, and / or groups thereof. It should be understood that when a network element is "connected" or "coupled" to another network element, it may be directly connected, or there may be intervening elements. In addition, "connected" as used herein may include wireless connection or wireless coupling.

[0083] In the description of this application, it should be understood that the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances. In addition, in the description of this application, unless otherwise specified, "multiple" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship.

[0084] Those skilled in the art will understand that unless otherwise defined, all terms (including technical, technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which this invention belongs.

[0085] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A method for optimizing the scheduling of deterministic network services in mobile communications, characterized in that: The following steps are involved: Assign service PCP values ​​to service flows in the TSN network and determine the PCP queues in which services are transmitted in TAS gating. Determine service flow parameters and flow performance requirements, and perform 5QI mapping on service flows; Optimize existing services, using the service PCP value as a constant, TAS gating configuration, and 5G resource reservation ratio as optimization variables. Optimize and calculate the Pareto optimal solution for the joint configuration of the TSN and 5G sides. The optimization goal is to maximize the proportion of services that meet flow performance requirements and / or maximize the remaining resources. Optimize new services, use TAS gating configuration and 5G resource block reservation ratio as constants, and service PCP value as optimization variable to optimize and calculate the Pareto optimal solution of the service PCP value. The optimization goal is to maximize the proportion of services that meet the flow performance requirements and / or maximize the remaining resources.

2. The method for optimizing mobile communication deterministic network service scheduling according to claim 1, wherein: 5GS receives the service flow parameters and flow performance requirements of TSN traffic from the CNC network element through the TSN AF network element on the control plane; the PCF network element determines the QOS profile of each flow based on the service priority-5QI mapping table; The SMF network element establishes a 5G QOS flow based on the configuration file.

3. The method for optimizing mobile communication deterministic network service scheduling according to claim 1, wherein: The TSN control plane CUC network element determines the PCP value of the service flow according to the service type-priority mapping table, which serves as the queue for TAS gated transmission.

4. The method for optimizing mobile communication deterministic network service scheduling according to claim 1, wherein: A first scheduling calculation unit is set in the 5G control plane PCF network element to perform optimization calculations on existing services.

5. The method for optimizing mobile communication deterministic network service scheduling according to claim 1, wherein: A second scheduling calculation unit is set in the TSN control plane CUC network element to optimize the calculation of the new service.

6. A mobile communication deterministic network service scheduling optimization device, used to implement the method according to any one of claims 1 to 5, characterized in that: Including the CUC network element and CNC network element of the TSN control plane, and the PCF network element of the 5G control plane; The CUC network element is used to allocate service PCP values ​​to service flows in the TSN network and determine the PCP queue for service transmission in TAS gating; The CNC network element is used to determine service flow parameters and flow performance requirements, and perform 5QI mapping on the service flow; The PCF network element is used to optimize existing services, using the service PCP value as a constant, the TAS gating configuration and the 5G resource reservation ratio as optimization variables, and optimizes and calculates the Pareto optimal solution of the joint configuration of the TSN side and the 5G side.

7. The mobile communication deterministic network service scheduling optimization device according to claim 6, characterized in that: The PCF network element includes a first scheduling calculation unit, which is used to perform optimization calculations on existing services.

8. The mobile communication deterministic network service scheduling optimization device according to claim 6, characterized in that: The CUC network element includes a second scheduling calculation unit, which is used to optimize the calculation of new services. The TAS gating configuration and the 5G resource fast reservation ratio are used as constants, and the service PCP value is used as the optimization variable to optimize the calculation of the Pareto optimal solution of the service PCP value.

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