Mobile communication deterministic network service scheduling optimization method and device

Abstract

The invention discloses a mobile communication deterministic network service scheduling optimization method, which comprises the following steps: distributing a service PCP value for a service flow in a TSN network, and determining a PCP queue of the service transmitted in TAS gating; determining service flow parameters and flow performance requirements, and performing 5QI mapping on the service flow; and for the existing service, the Pareto optimal solution of the combined configuration of the TSN side and the 5G side is optimally calculated by taking the service PCP value as a constant and the TAS gating configuration and 5G resource reservation ratio as an optimization variable, and for the newly added service, the Pareto optimal solution of the service PCP value is optimally calculated by taking the TAS gating configuration and 5G resource fast reservation ratio as a constant and the service PCP value as an optimization variable. The invention further comprises a device for implementing the method. The problem that respective scheduling of 5G and TSN cannot be coordinated with each other is solved.

Description

Technical Field

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

[0002] With the rapid development of industrial Internet, autonomous driving, and intelligent manufacturing, the requirements for network flow performance are increasing, especially in terms of data transmission reliability, latency, and bandwidth. Traditional network technologies often find it difficult to meet these requirements. To achieve deterministic network service transmission for mobile communications, 5G and Time-Sensitive Networking (TSN) are two emerging communication technologies that provide high bandwidth, low latency, and high reliability while providing strong support for various application scenarios. In order 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 research hotspot.

[0003] 5G is the fifth generation of mobile communication technology. Its main features include extremely high data transmission rate, ultra-low latency, large-scale device connection and network slicing technology. These features enable 5G networks to provide reliable communication services in many fields, especially in low-latency and ultra-reliable scenarios. 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 generalized precision time protocol (gPTP) and time-aware shaper (TAS), to ensure that the network can guarantee accurate control of latency and bandwidth when processing high-priority traffic. With the continuous development of industrial Internet of Things, automated manufacturing, intelligent transportation and other fields, the requirements for network latency accuracy and reliability are becoming higher and higher. In this context, 5G TSN technology came into being and became an important technical means to meet high time accuracy and high reliability applications. 5G TSN technology combines 5G network and TSN technology to support applications with higher requirements for latency jitter and reliability in the fields of 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 high-reliability and low-latency scheduling.

[0004] In 5G networks, Quality of Service (QoS) assurance is achieved through 5G QoS Identifier (5QI). 5QI is used to describe the priority, latency requirements, and throughput requirements of different service flows. It provides different service guarantees for each type of traffic in 5G networks. In TSN, the timing and priority management of traffic is achieved through the TAS gating mechanism. TAS uses time division multiple access (TDMA) technology to achieve precise control of traffic. A priority queue corresponding to 8 priority code points (PCP) from 0 to 7 is set on each TSN switch. Traffic with a certain priority is only transmitted when the gate of the corresponding priority is opened.

[0005] However, the scheduling algorithm of 5G network often focuses on the wireless access part, and there is less coordination between wireless access and wired transmission. Although TSN can accurately control the traffic in the local network, it mainly focuses on the wired part and cannot support end-to-end scheduling and cross-domain coordination. Although the scheduling mechanisms of 5G and TSN have their own advantages, in the actual application of 5G-TSN, the 5G link is usually simply used as a logical bridge of TSN, and the scheduling of the two is not effectively combined. The 5G side considers more about the allocation of wireless resources, while the TSN side focuses on the configuration of the gate control list (GCL). Although there are currently a variety of QoS mapping methods for traffic between 5G and TSN networks that can ensure priority intercommunication, the scheduling methods of the two are still fragmented and fail to achieve end-to-end coordination to meet the different transmission flow performance requirements of various services. 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 application embodiment provides a method for optimizing the scheduling of mobile communication deterministic network services, comprising the following steps: Allocate service PCP values ​​for 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; 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. In one embodiment of the present application, the following steps are also included: Taking TAS gating configuration and 5G resource fast reservation ratio as constants and service PCP value as optimization variable, the Pareto optimal solution of service PCP value is optimized and calculated.

[0008] Preferably, the optimization goal is to maximize the proportion of services that meet the flow performance requirements and / or to maximize the remaining resources.

[0009] 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.

[0010] In one embodiment of the present application, 5GS receives service flow parameters and flow performance requirements of TSN traffic from CNC through TSN AF of the control plane; PCF network element determines the QOS profile of each traffic according to the service priority-5QI mapping table; SMF network element establishes 5G QOS flow according to the profile.

[0011] 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.

[0012] In one embodiment of the present application, a second scheduling calculation unit is provided in the TSN control plane CUC network element, which is used to perform optimization calculation on the newly added service.

[0013] The embodiment of the present application further proposes 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 a TSN control plane, and a PCF network element of a 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 queues in which services are transmitted 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 and calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side by taking the service PCP value as a constant, the TAS gating configuration and the 5G resource reservation ratio as optimization variables. In one embodiment of the present application, a first scheduling calculation unit is included in the PCF network element, which is used to optimize the calculation of the existing service. The service PCP value is taken as a constant, and the TAS gating configuration and the 5G resource reservation ratio are used as optimization variables to optimize and calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side.

[0014] 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 by taking the TAS gating configuration and the 5G resource fast reservation ratio as constants and the service PCP value as an optimization variable.

[0015] At least one of the above technical solutions adopted in the embodiments of the present application can achieve the following beneficial effects: In order to solve the above-mentioned problem of separation between 5G and TSN scheduling, the present invention proposes a method and device for optimizing service scheduling based on mobile communication deterministic network, aiming to ensure the overall end-to-end transmission performance of the service. Through this method, the adjustment of network configuration and service priority will be more flexible and unified, avoiding frequent modifications to TSN gating and 5G's 5QI or slice configuration, and converting the originally complex scheduling problem into a computable optimization problem. In addition, 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 together to meet the service quality requirements of various application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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: Figure 1 This is the overall architecture diagram of 5G integrated with TSN; Figure 2 A flow chart of a method for optimizing the scheduling of mobile communication deterministic network services proposed in this application; Figure 3 This is an embodiment of a mobile communication deterministic network service scheduling optimization device proposed in this application. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in combination with the specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present application.

[0018] The technical solutions provided by various embodiments of the present application are described in detail below in conjunction with the accompanying drawings.

[0019] Figure 1 This is the overall architecture diagram of 5G integrated with TSN.

[0020] The architecture of the embodiment of the present application includes interconnected TSN network devices and 5G network devices. Among them, the TSN network includes TSN terminal devices and TSN switches connected thereto. TSN control plane network elements include centralized user configuration (CUC) network elements and centralized network configuration (CNC) network elements, wherein the service configuration is sent to the TSN terminal device through the CUC network element, and the network configuration is sent to the TSN switch through 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.

[0021] In the overall 5G TSN architecture, the 5G system (5GS) logical bridge includes TSN converters TT for the data plane and control plane to achieve interoperability between the TSN and 5G domains. On the data plane, the TT function consists of the network-side NW TT network element and the device-side DSTT network element, providing adaptation support for the ingress and egress ports of 5GS. On the control plane, 5GS communicates with the centralized network configuration CNC network element and the centralized user configuration CUC network element through the TSN AF network element to complete the intercommunication of network configuration, service configuration, mapping and management information.

[0022] The core network elements of the device of this application include TSN control plane CUC network elements and 5G control plane PCF network elements. Other network elements that are mainly related to the focus of this application are TT network elements, TSN AF network elements and SMF network elements.

[0023] Figure 2 A flow chart of a method for optimizing the scheduling of mobile communication deterministic network services proposed in this application includes the following steps: Step 10: Allocate a service PCP value for the service flow in the TSN network and determine the PCP queue for the service to be transmitted in the TAS gating.

[0024] In one embodiment of the present application, the PCP value of the service flow is determined according to the service type-priority mapping table as the queue for transmission in TAS gating. For example, the centralized user configuration CUC network element allocates 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.

[0025] In step 10, the set of flows in the network is represented by Indicates that the parameters of each flow, namely the service flow parameters described below, are composed of a six-tuple 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, and the PCP value is the queue for the service to be transmitted in TAS gating.

[0026] Table 1 Service flow type-priority mapping table

[0027] Step 20: Determine the service flow parameters and flow performance requirements, and perform 5QI mapping on the service flow.

[0028] 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 according to the service priority-5QI mapping table; the SMF network element establishes a 5G QOS flow according to the profile.

[0029] The CNC network element sends service flow parameters and flow performance requirements to the 5G core network policy control function PCF network element through the TSN application function TSN AF network element, and performs 5QI mapping for each service flow according to the mapping table. Specifically, the PCF network element selects a suitable QoS profile for each traffic according to the service priority-5QI mapping table shown in Table 2. Subsequently, it notifies the SMF network element to establish a 5G QoS flow according to the profile, thereby realizing QoS mapping between TSN and 5GS.

[0030] Table 2. Business priority-5QI mapping table

[0031] 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, both 5G and TSN must know which services are important. The service priority allocation process is performed 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 the 5QI priority, so that the 5G network can also allocate resources to the service based on the importance of the service.

[0032] As shown in Table 2 - Service Priority - 5QI Mapping Table, 5QI mapping generates 5QI priority based on the PCP value of the service. 5QI mapping is a necessary process after the PCP value is assigned in step 10. After mapping, the configuration of the service is completed, and the next step is to configure network gating and resources.

[0033] There are many different methods for mapping 5QI, and there are many studies on these methods. However, this application does not innovate or change the mapping method, but only uses a simple and fixed mapping table for mapping.

[0034] 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. Step 30 optimizes the 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 a constant, that is, the corresponding 5QI priority remains unchanged.

[0035] 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.

[0036] 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, the TAS gating configuration in the TSN switch and the 5G resource block reservation ratio are used as optimization variables, and 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.

[0037] Assume that the current flow number is , then the joint scheduling optimization problem is modeled as follows: Constant: Business Priority ( ), business flow parameters And network topology Here, the set of business priorities is represented by PRI express, Indicates i The priority of a traffic flow.

[0038] Optimization variable: Time offset of sending traffic ( , 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 Indicates the percentage of reserved persistent resource blocks to total resource blocks. The reserved resource blocks are used for the transmission of existing DC-GBR traffic, where DC-GBR traffic is one of the above service flows. For reference, Table 2 shows that service flows with PCP priorities of 4 to 7 are defined as DC-GBR traffic. For other sporadic traffic and non-critical types of traffic, resource blocks are not reserved, but dynamically allocated when traffic arrives.

[0039] Optimization goal: maximize the proportion of services that meet the flow performance requirements: ( represents the service set that meets the flow performance requirements), and the remaining resources are maximized: , ( and They respectively represent the maximization of the remaining available resources of the 5G resource block and TAS gating, and the remaining resources include the reservation of 5G resources and the reservation of TAS gating resources).

[0040] Table 1 shows the meaning of the four different flow performance requirements. arrive The flow performance requirements are gradually reduced. The sending time offset of the service flow, the opening time of the priority gate, and the 5G resource reservation ratio will affect the proportion of services that meet the flow performance requirements and the remaining resources. The following is a brief description: The sending time offset of the service flow will affect the time when the flow arrives at the TSN switch. Since the TSN switch uses the TAS gating mechanism, if the flow arrives just within the time window of the gate opening, the flow does not need to wait and can be transmitted directly; if the flow just misses the time window of the gate opening, it will wait for the next time window of the gate opening, which will generate the time of the waiting time window, thereby affecting the flow performance requirements. If the waiting time is greater than a certain value, the service flow performance requirements cannot be met, resulting in this service not meeting the service flow performance requirements. The priority gate opening time is similar, because the gate opening time window of the gate control must be coordinated with the service traffic in the network, so when the gate is opened will also affect 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 TAS gated remaining resources, 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 TAS gated remaining resources; among the 5G remaining resources, the allocation of the above-mentioned 5G resource reservation ratio directly affects the 5G remaining resources.

[0041] 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 optimization variables (referring to the optimization variables in the optimization problem modeling, see above , , and ) are 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 to ,in, and is the weight coefficient and ; Subsequently, individuals are selected by using methods such as roulette 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.

[0042] After finding the optimal configuration, the PCF network element finally instructs the gNB to divide the resource blocks according to the policy through the SMF network element, and instructs the CNC network element to configure the TAS gating list according to the policy through the TSN AF network element. At this point, the network can transmit the service flow normally based on the configuration under the policy.

[0043] 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.

[0044] 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 the service priority becomes a variable. When the service priority changes, the 5QI priority will also change (such as the mapping relationship in Table 2).

[0045] In one embodiment of the present application, a second scheduling calculation unit is provided in the TSN control plane CUC network element, which is used to perform optimization calculation on the newly added service.

[0046] For subsequent new services, the constants of the optimization problem become TAS gating configuration and 5G resource block reservation ratio, and the optimization variables become service priority (i.e. "service PCP value"). The second scheduling calculation unit in the CUC network element uses the optimization algorithm to calculate the Pareto optimal solution of service priority.

[0047] After the network is running normally, if you need to add new service transmission in the network, in order not to recalculate and change the configuration on the network side, you need to configure the appropriate service 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 and meet the service flow performance requirements as much as possible. The service priority and the 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 of the joint scheduling optimization model with the optimization variables, and the specific expression is as follows: 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 .

[0048] Optimization variables: Business priorities And the sending time offset of the newly added business flow .

[0049] Optimization goal: After adding new services, the proportion of services that meet the flow performance requirements is maximized: , and maximize the remaining resources after adding new services: , . Business Priorities And the sending time offset of the newly added business flow How it affects the proportion of services that meet the flow performance requirements and the remaining resources after adding new services is as mentioned above and will not be repeated here.

[0050] The second scheduling calculation unit in the CUC network element (such as Figure 3 As shown in Figure 1, the above optimization problem is solved using a suitable optimization algorithm to find the optimal service configuration and issue the configuration. At this point, the network can adapt to the arrival of new services without changing the network configuration.

[0051] 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 a TSN control plane, and a PCF network element of a 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 queues in which services are transmitted 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 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 by taking the service PCP value as a constant, and the TAS gating configuration and the 5G resource reservation ratio as optimization variables. In one embodiment of the present application, a first scheduling calculation unit is included in the PCF network element, which is used to optimize the calculation of the existing service. The service PCP value is taken as a constant, and the TAS gating configuration and the 5G resource reservation ratio are used as optimization variables to optimize and calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side.

[0052] 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 by taking the TAS gating configuration and the 5G resource fast reservation ratio as constants and the service PCP value as an optimization variable.

[0053] 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, will not be described here.

[0054] Therefore, if Figure 1 As shown, the present application also proposes a communication system for optimizing the scheduling of deterministic network services in mobile communication, comprising the mobile communication deterministic network service scheduling optimization device, and further comprising Figure 1 The 5G data plane device, TSN switch and TSN end equipment are shown.

[0055] The mobile communication deterministic network service scheduling optimization proposed in the present invention involves the end-to-end joint scheduling of 5G and TSN integration, such as the optimization process of steps 30 to 40, which makes up for the problem of the separation of the traditional 5G and TSN scheduling mechanisms. Through joint scheduling, the resource allocation of wireless and wired networks is coordinated, and end-to-end optimized scheduling from wireless to wired is realized, ensuring that the service flow performance requirements of different traffic flows are fully met.

[0056] As described in steps 30 to 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 different optimization objectives through an optimization algorithm to solve the scheduling problem. This method greatly simplifies the scheduling problem, allowing the 5G and TSN systems to be effectively scheduled according to real-time network conditions in a dynamic business environment, and optimizing the transmission performance of the business flow.

[0057] In terms of devices and systems, the newly added scheduling calculation unit in the PCF network element and the CUC network element of the present invention provides an end-to-end scheduling solution in the real 5G-TSN network. While solving the existing service network configuration, it can adapt to new services without changing the network configuration, avoiding network fluctuations and various problems caused by frequent modifications of the network configuration. At the same time, on the basis of ensuring the flow performance requirements, it greatly reduces the configuration complexity and improves the scalability of the network.

[0058] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of further restrictions, the elements defined by the sentence "comprises..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0059] Those skilled in the art will appreciate that, unless otherwise stated, the singular forms "a", "an", "said" and "the" used may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude 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 intermediate elements. In addition, the "connection" used herein may include wireless connection or wireless coupling.

[0060] In the description of the present 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 the present application can be understood according to the specific circumstances. In addition, in the description of the present 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 objects associated before and after are in an "or" relationship.

[0061] 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.

[0062] The above is only 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 modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in 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: Allocate service PCP values ​​for 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; 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.

2. A method for optimizing mobile communication deterministic network service scheduling as claimed in claim 1, characterized in that: It also includes the following steps: Taking TAS gating configuration and 5G resource fast reservation ratio as constants and service PCP value as optimization variable, the Pareto optimal solution of service PCP value is optimized and calculated.

3. A method for optimizing mobile communication deterministic network service scheduling as claimed in claim 1, characterized in that: The optimization goal is to maximize the proportion of services that meet the flow performance requirements and / or maximize the remaining resources.

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

5. A method for optimizing mobile communication deterministic network service scheduling as claimed in claim 1, characterized in that: 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.

6. A method for optimizing mobile communication deterministic network service scheduling as claimed in claim 1, characterized in that: A first scheduling calculation unit is set in the 5G control plane PCF network element to perform optimization calculations on existing services.

7. A method for optimizing mobile communication deterministic network service scheduling as claimed in claim 1, characterized in that: A second scheduling calculation unit is set in the TSN control plane CUC network element to optimize the calculation of the new service.

8. A mobile communication deterministic network service scheduling optimization device, used to implement the method described in any one of claims 1 to 7, characterized in that: Including CUC network elements and CNC network elements of the TSN control plane, and PCF network elements 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 queues in which services are transmitted 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 and calculate the Pareto optimal solution of the joint configuration of the TSN side and the 5G side by taking the service PCP value as a constant, the TAS gating configuration and the 5G resource reservation ratio as optimization variables.

9. A mobile communication deterministic network service scheduling optimization device as claimed in claim 8, characterized in that: The PCF network element includes a first scheduling calculation unit, which is used to perform optimization calculations on existing services.

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

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