WO2023273385A1

WO2023273385A1 - 5g and tsn joint scheduling method based on wireless channel information

Info

Publication number: WO2023273385A1
Application number: PCT/CN2022/079133
Authority: WO
Inventors: 孙雷; 王健全; 马彰超; 李卫; 张超一
Original assignee: 北京科技大学
Priority date: 2021-06-28
Filing date: 2022-03-03
Publication date: 2023-01-05
Also published as: CN113630893A; CN113630893B

Abstract

The present application provides a 5G and TSN joint scheduling method based on wireless channel information. In the present invention, adjustment is made by configuration of retransmission factors under different channel conditions, and time jitter caused by transmission of data packets in a 5G system is eliminated. Thus, a definitive end-to-end time delay guarantee for time-triggered service flows is provided. In a 5G and TSN joint time scheduling strategy provided by the present invention, queue management in a TSN domain is no longer carried out according to a TSN first-come-first-served mechanism. Instead, given that periods of service flows are distinguished, queuing priority is defined according to the performance of channel conditions of 5G air interface resources allocated to the service flows. Regarding transmission time, in the TSN domain, of service flows having the same service priority, the time delay, in the TSN domain, of service flows corresponding to poor 5G air interface resource channel conditions is lower.

Description

5G and TSN joint scheduling method based on wireless channel information

【Technical field】

This application relates to the technical field of collaborative integration of 5G and the industrial Internet, and specifically relates to a 5G and TSN joint scheduling method based on wireless channel information.

【Background technique】

The collaboration and integration of 5G and the Industrial Internet has become a hotspot in current academic research. 5G has low-latency, high-reliability connection capabilities, and 5G-enabled industrial applications have become a common demand in the communications and industrial circles. However, industrial services have extremely strict requirements on the performance of the bearer network. The factory bearer network not only needs to have low latency, low jitter, and high reliability capabilities, but also has deterministic features. For industrial control systems, deterministic delay guarantees It is the basis of its system security and controllability. Therefore, how to realize the coordinated transmission of 5G and TSN to improve the deterministic carrying capacity of the 5G system has become a key technical issue for 5G to deeply empower the core links of the industry.

At present, the research on 5G and TSN collaborative transmission has just started, focusing more on network architecture, functional entity and network interface definition, and research on 5G and TSN joint scheduling algorithm and cooperative transmission mechanism is relatively lacking. The biggest challenge facing 5G-TSN collaboration lies in the uncontrollable impact of the time-varying characteristics of the 5G air interface on deterministic data transmission. Figure 1 shows the problem that the sequence of data packets at the receiving end is disordered due to changes in the air interface.

Data packets

1, 2, and 3 are service flows with the same priority and will be mapped to the same egress queue. According to the preset settings of the CNC, the data packets will be sent and received in order. However, in the transmission part of the 5G air interface, due to the poor condition of the wireless resource channel allocated by data packet 1, the data packet is lost, and the data packet needs to be retransmitted, which will lead to a sequence of data packets at the receiving end. disorder, resulting in delay jitter. Figure 2 shows the problem of data packet loss caused by air interface changes. Data packets A and B are service flows with different priorities and will be mapped to different egress queues. However, when data packet B is transmitted on the air interface, the channel condition is extremely poor, resulting in multiple retransmissions, which eventually leads to packet loss due to timeout, resulting in incomplete data received by the receiving end. In the 5G TSN bridging network architecture, it is stipulated that only the edge gateways NW-TT and DS-TT on both sides support the TSN protocol; at the same time, in order to reduce the delay and jitter caused by effective air interface changes to data transmission, 3GPP defines the time trigger The time budget for service flow transmission in the 5G system, that is, the time difference between the time-triggered service flow data packets entering the 5G ingress (NW-TT/DS-TT) and leaving the 5G egress (DS-TT/NW-TT), including the 5G core network Processing and transmission delay, 5G base station/terminal processing delay and air interface transmission delay. Figure 3 is a schematic diagram of end-to-end data transmission under the 5G-TSN collaborative architecture. Taking the time-triggered service flow sent by ES1 as an example, the transmission time budget of the data packet from the DS-TT transmission time _t3 is calculated by the 5G system

Decide:

It refers to the time difference between the time when the data packet arrives at the 5G entrance, that is, NW-TT, and the time when it leaves the 5G exit, that is, DS-TT, including 5G core network processing and transmission delay, 5G base station/terminal processing delay and air interface transmission delay. Due to the time-varying characteristics of 5G wireless channels, the transmission delay of time-triggered service flow data packets in 5G networks

is changing, if

That is, if the ES1 data packet arrives before the transmission time budget of the 5G system, the data packet still needs to wait in the queue until _t3 , so as to eliminate the transmission delay jitter caused by the change of the 5G air interface.

However, if

That is, the data packet failed to be sent to DS-TT within the required time. Since the state of the DS-TT egress queue gate control list has changed, the queue corresponding to the service flow has been "closed", resulting in the data packet cannot be sent to the DS-TT Transmitting within a specified period affects the stability of the control service flow.

Therefore, the transmission time budget of the 5G system plays a very important role in eliminating the uncertainty of the 5G system and ensuring the deterministic transmission performance of 5G-TSN end-to-end data. There is no relevant research, and the joint scheduling of 5G and TSN network conditions cannot be considered at the same time.

【Content of invention】

This application provides a 5G and TSN joint scheduling method based on wireless channel information. The present invention is a joint decision-making process, method and device for the deterministic transmission of time-sensitive service flows in a heterogeneous environment of 5G and TSN. The products applying this invention mainly It is a gateway and network device that will be used in the construction of factory network or industrial Internet network layer in the future.

In the first aspect of the present application, a 5G and TSN joint scheduling method based on wireless channel information is provided. The method includes:

Obtain 5G channel information;

Perform two-level TSN domain queue management according to the acquired 5G channel information;

Perform 5G system transmission time budget setting according to the obtained 5G channel information;

The data packet is sent according to the two-level TSN domain queue management and the 5G system transmission time budget setting.

Further, the two levels include a service flow level and a data packet level;

In the service flow level, mapping is performed according to the priority of the service flow, and service flows with different priorities enter different queues for processing;

In the data packet level, according to the first-in-first-out FIFO principle, the data packets are sent to the physical layer for transmission according to the condition of the gate control list.

Further, the two-level TSN domain queue management is performed according to the acquired 5G channel information, specifically including:

After obtaining the wireless resource CQI information of the data packets carrying the service flow collected by the 5G base station side, the scheduling time of different data packets will be planned.

Further, the planning of the scheduling time of different data packets specifically includes:

Assuming that the current service flow is f _i , the number of service flows with higher priority than f _i in the current cycle is N _m ; and among the service flows with the same priority as f _i , the number of service flows with lower CQI than f _i is N _s ;

TSN domain time

The expression is:

The relationship between service flow priority P and TSN domain time satisfies the following formula:

Further, the setting of the 5G system transmission time budget specifically includes:

against

Budget 5G system transmission time

Calculated by the following formula:

Among them, τ(CQI _i ) represents the time delay related to the air interface channel, and φ _i represents the time delay irrelevant to the air interface transmission;

The time delay τ(CQI _i ) related to the air interface channel includes the queuing time delay, transmission time delay and retransmission time delay caused by retransmission caused by the base station;

The air interface transmission-independent delay φ _i includes core network/base station/terminal processing delay and core network transmission delay.

Further, the time delay τ(CQI _i ) related to the air interface channel is calculated by the following formula:

Indicates the data transmission rate of the 5G air interface for the service flow f _i , and

Indicates the guaranteed bit rate of the 5G air interface for the service flow f _i ;

Indicates the maximum bit rate of the _5G air interface for the service flow fi;

Represents the air interface transmission time of the data packet, d _retx represents the retransmission delay of the data packet, and κ _i represents the retransmission factor.

Further, the value of the retransmission factor κ _i adopts the following step function:

Wherein, the expected number of retransmissions is determined according to the channel quality information of the wireless resource carrying the service flow, and α ₀ ≤α ₁ ≤α ₂ .

Further, assuming that f _i and f _i+1 represent the current sent flow and the flow sent in the next frame respectively, the interval Λ between two flow data packets should satisfy:

When Λ=l _i /R _TSN , then the 5G system transmission time budget of flow f _i+1

will be corrected to:

In a second aspect of the present application, an electronic device is provided. The electronic device includes: a memory and a processor, where a computer program is stored in the memory, and the processor implements the method as described above when executing the program.

In a third aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the method according to the first aspect and/or the second aspect of the present application is implemented .

Through the embodiment of the present application, the following technical effects can be obtained:

1) The present invention aims at the 5G system transmission time budget mechanism for channel quality differences, adjusts it by setting the retransmission factor under different channel conditions, and eliminates the time jitter caused by the transmission of data packets in the 5G system, thereby providing time-triggered service flow. Deterministic end-to-end latency guarantee;

2) In the 5G and TSN joint time scheduling strategy proposed in the present invention, the queue management in the TSN domain will no longer be performed according to the TSN first-come-first-served mechanism, but will be assigned to The quality of the 5G air interface resource channel status of the service flow defines its queuing priority. For the transmission time of three service flows with the same service priority (for example, the same service period) in the TSN domain, the delay of the TSN domain of the service flow corresponding to the poor channel condition of the 5G air interface resource will be lower.

【Description of drawings】

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings that need to be used in the embodiments or the description of the prior art. Obviously, the accompanying drawings in the following description are of the present application For some embodiments, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying creative efforts.

FIG. 1 is a schematic diagram of disorder in the sequence of data packets at the receiving end caused by changes in the air interface in the prior art;

FIG. 2 is a schematic diagram of data packet loss caused by air interface changes in the prior art;

Figure 3 is a schematic diagram of end-to-end data transmission under the 5G-TSN collaborative architecture;

Figure 4 is a schematic diagram of a 5G-TSN collaborative network transmission model;

Figure 5 is a TSN queue management and control architecture diagram based on 5G channel information;

FIG. 6 is a schematic diagram of time-triggered service flow delay performance;

Figure 7 is a schematic diagram of the influence of a retransmission factor on a 5G transmission time budget;

Fig. 8 is a schematic diagram of the influence of another value of the retransmission factor on the 5G transmission time budget;

FIG. 9 is a schematic diagram of TSN domain delay analysis under different channel quality conditions.

【detailed description】

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

Time Sensitive Networking (TSN, Time Sensitive Networking) is a series of standard specifications formed by the IEEE 802.1 working group on the basis of standard Ethernet for time synchronization, resource management, traffic shaping, network configuration and other Layer 2 technology enhancements. At the technical level, TSN has deterministic delay guarantee and multi-service unified bearing capacity. On the basis of realizing high-precision time synchronization between nodes in the TSN domain, it can not only ensure the boundedness of end-to-end transmission delay and jitter of time-triggered service flows with strong real-time requirements, but also realize non-real-time services and best-effort "One-network transmission" of large-scale business. At the networking level, because TSN is compatible with standard Ethernet protocols, it can realize synergy with heterogeneous industrial field communication protocols, and is forward compatible with the coexistence of heterogeneous field communication protocols. However, with the deployment of a large number of sensors in equipment, workshops, and factories, and the widespread use of intelligent terminals such as robot arms and mobile robots on production lines, wired TSN networks are difficult to meet the needs of smart factory terminal access and data transmission. 5G and The integration and collaboration of TSN is not only the demand for the extension of 5G to the industrial field, but also the drive of the endogenous demand of smart factories.

The 3rd Generation Partnership Project (3GPP, the 3rd Generation Partner Project) Rel.16 released in July 2020 proposes a 5G-TSN bridging network architecture, which regards the 5G system as a whole as a logical TSN bridge, respectively, in the 5G system. Functional entities supporting TSN time synchronization and gating mechanisms are added to the core network side and terminal side to provide end-to-end deterministic transmission assurance across 5G and TSN, so as to better realize the bearing of 5G for industrial control services.

Fig. 4 is a schematic diagram of a 5G-TSN collaborative network transmission model. In terms of network organization, the 5G-TSN collaborative network includes TSN domain switch TSN SW, 5G system core network elements and base station equipment ES. For the convenience of presentation, only the network elements involved in the user plane are shown in Figure 4. To focus on the joint scheduling mechanism of the present invention, the present invention only considers the scenario where there is only one terminal-side TSN converter DS-TT in the 5G system. Suppose V is a collection of network device nodes, V≡SW∪5Gs, where sw _i is a switch node in the delay-sensitive network TSN,

ES _tx and ES _rx respectively represent the set of sending terminal nodes and the set of receiving terminal nodes, es _i is the TSN terminal node,

It is assumed that all TSN terminal nodes support access to 5G networks and TSN networks.

In terms of service types, it is assumed that each sending terminal node can only carry one kind of service. For

The service flow f _i sent by it constitutes the service flow set F in the network,

Its business requirements are represented by a six-tuple information group:

R(f _i )＝{<es _s ,es _d ,T _i ,D _i ,l _i ,p _i >|f _i ∈F}

es _s and es _d indicate the source node and destination node of the service flow, T _i is the data packet sending cycle in the service flow, for aperiodic service, this value is empty, and it is assumed that the periodic service flow only One data packet is generated; D _i represents the delay requirement of the service flow, and for the time-triggered service flow, D _i =T _i ; l _i represents the size of the data packet of the service flow, and the unit is Byte; p _i represents the service flow The priority of the time-triggered service flow is higher than that of other non-real-time services. For two time-triggered service flows f _i and f _j , if T _i <T _j , then p _i >p _j .

The present invention focuses on the joint time scheduling mechanism of the time-triggered service flow, therefore, in the present invention, the service type only considers the time-triggered service flow.

According to the model in Figure 4,

Its end-to-end delay and service QoS requirements are expressed as:

in,

Indicates TSN domain time, which includes processing delay and queuing delay;

is the transmission time budget of the 5G system; N _hop represents the hop number of network nodes that the service flow passes through, and 5G is regarded as a logical bridge device. In Figure 3, N _hop = 2; l _i /R _TSN represents the wired link transmission delay, where R _TSN represents the transmission rate of Ethernet. In order to ensure the QoS requirements of time-triggered service flows and ensure that the system is in a stable state, the end-to-end delay must meet

Based on the analysis of formula (1), since the service flow and network topology information are known, and the transmission delay of the wired link is fixed, the QoS requirements of the business in formula (1) can be further rewritten as:

Under these constraints, the following section will focus on the analysis of

and

setting mechanism.

In the TSN network, due to the stable and high reliability of the link channel, the management of data packets in the egress queue is based on strict priority. In the 5G-TSN coordinated transmission network, due to the different wireless resources allocated to different service flows in 5G, the wireless channel conditions are also different. Therefore, the present invention proposes a TSN queue management mechanism based on 5G channel information. In the case of the same service priority, the time-triggered service flow carried on the wireless resource with poor channel quality is preferentially processed.

As shown in Figure 4, in the TSN domain switch TSN SW, a two-level queue control mechanism is proposed:

The first level: business flow level

Mapping will be performed according to the priority of the business flow, and different priority business flows will enter different queues for processing;

The second level: packet level

In the existing TSN domain switch TSN SW, the data packet is sent to the physical layer according to the gated list according to the first-in-first-out FIFO (First In First Out) principle;

Figure 5 is a diagram of the TSN queue management and control architecture based on 5G channel information. In the 5G system, the mobile terminal will periodically measure the quality of the wireless channel and report the channel quality indicator CQI (Chanell Quality Information) information to realize algorithms such as dynamic scheduling and link adaptive adaptation. The smaller the channel quality indicator CQI, the worse the channel condition. It is necessary to adopt a modulation and coding method with a low code rate but high reliability, and exchange resource efficiency for reliability.

Assuming that all business sources send data packets at the initial moment, based on the business data layered processing method proposed in Figure 8,

Assuming that the current service flow is f _i , the number of service flows with higher priority than f _i in the current cycle is N _m ; and among the service flows with the same priority as f _i , the number of service flows with lower CQI than f _i is N _s ; Since there is only one link between TSN SW and the network-side TSN translator NW-TT, the current data packet needs to wait for the previous data packet to be completely sent before it can be sent, and the TSN domain time is obtained

The expression is:

It can be seen from formula (3) that the higher the service flow priority, the shorter its time in the TSN domain; the worse the quality of the wireless channel, it will also be processed first in the TSN domain, that is,

In order to adapt to the low-latency and periodic characteristics of time-triggered service flows, the 5G system will adopt the highly reliable and low-latency connection URLLC function, and under the coordination of the core network control network elements TSN-AF, PCF, SMF and AMF, the time-triggered Some key parameters of the service flow are transmitted to the base station equipment, so that the base station can configure semi-static scheduling parameters and reserve air interface resources for time-sensitive services.

According to the 5G system configuration, for

The 5G system transmission time budget can be divided into:

Among them, τ(CQI _i ) refers to the delay related to the air interface channel, including the queuing delay, transmission delay and retransmission delay caused by the base station due to scheduling. These factors are related to the channel quality; φ _i represents Air interface transmission-independent delays include core network/base station/terminal processing delays and core network transmission delays. These delays are related to factors such as equipment hardware and software structure, transmission network topology, and data packet size, and are not affected by wireless channels. quality impact.

For τ(CQI _i ) with the greatest uncertainty, it can be further decomposed into:

is the data transmission rate of the 5G air interface for the service flow f _i ,

Indicates the air interface transmission time of the data packet. For the data transmission rate of the air interface, the QoS profile issued by the PCF will provide the guaranteed flow bit rate GFBR (Guaranteed Flow Bit Rate) and the maximum flow bit rate MFBR (Maximum Flow Bit Rate) for the service flow, for the data transmission of the service flow f _i The rate is calculated by the following formula:

In the 5G system, in order to ensure the reliability of data transmission, HARQ (Hybrid Automatic Repeat reQuest) is adopted. However, retransmission must follow the 5G physical layer frame format, and its retransmission delay will be greater than the first air interface transmission delay. Therefore, in formula (6), the data packet retransmission delay is defined as d _retx , and κ is defined as the retransmission factor, and the value adopts a step function:

In formula (7), α ₀ ≤α ₁ ≤α ₂ . The number of expected retransmissions is determined according to the channel quality information of the wireless resource carrying the service flow: when the CQI is lower than the minimum threshold, it is predicted that the channel is in poor condition, so its retransmission factor is large, which increases the transmission time budget of the 5G system and avoids The change of the DS-TT gating list status of the TSN translator on the device side caused by retransmission; if the predicted channel quality is good and the probability of retransmission is low, reduce the value of the retransmission factor; when the predicted channel quality is extremely When it is good, further reduce the retransmission factor.

Combined with the transmission time analysis of the TSN domain and the 5G domain, the following formula is obtained:

In order to ensure the QoS requirements of end-to-end data transmission, the value planning of each variable in formula (8) needs to satisfy

In addition, due to the consideration of wireless channel quality information, the service flow carried on the 5G air interface resource with poor wireless channel quality is prioritized in the TSN domain, but its 5G transmission time budget will increase the expected waiting time value, so in each data flow In terms of end-to-end delay, in order to ensure that there is no collision on the link from the device-side TSN translator DS-TT to ES3, it is also necessary to make requirements on the sending interval between adjacent service flow data packets. Assuming that f _i and f _i+1 respectively represent the current sent flow and the flow sent in the next frame, the interval between two flow data packets should satisfy:

When Λ=l _i /R _TSN , the 5G system transmission time budget of flow f _i+1 will be revised as:

We have tested and simulated the above technical solutions. Figure 6 is a schematic diagram of the delay performance of time-triggered service flow, which shows the analysis of TSN domain delay under different channel quality conditions. ES1 and ES2 service flow end-to-end delay, 5G system transmission time budget and 5G system real transmission time three indicators. In this simulation, it is assumed that the CQIs of the wireless resources carrying ES1 and ES2 service flows are 15 and 16, and the channel quality is in good condition. It can be seen from the figure that although the channel quality is in good condition, the channel will change due to accidental events such as occlusion or movement, resulting in packet loss and retransmission, but because the actual transmission time of the 5G system does not exceed the transmission time budget of the 5G system, the transmission time budget of the 5G system is passed. The control of the gating list mechanism at the DS-TT exit eliminates the transmission time jitter caused by the change of the 5G wireless channel, so the end-to-end delay does not change, and the deterministic delay of cross-network data transmission is realized. In addition, it can be seen from Figure 6 that since the cycle of ES1 service flow is shorter than that of ES2 service flow, and the service priority is higher, ES1 service flow will be processed preferentially in both TSN domain and 5G domain, so the end-to-end Latency analysis shows that the ES2 service flow has a greater delay.

Since the value of κ will affect the 5G system transmission time budget of the service flow, the value of κ based on the CQI information is set as:

We conducted a comparative analysis of the relationship between different κ value settings and the real transmission time of the data packet. For the values of [α ₀ ,α ₁ ,α ₂ ] in different steps, two sets of different values κ ₁ =[0.5,1,2], κ ₂ =[1,2,3] are set, for different channel quality conditions The relationship between the real transmission time of the 5G system and the transmission time budget of the 5G system for the next service flow is compared and analyzed.

Figure 7 is a schematic diagram of the influence of a retransmission factor on the 5G transmission time budget. When κ ₁ =[0.5,1,2], in the case of good channel quality (CQI=15), due to traffic The setting of the retransmission factor κ is unreasonable for the case of good channel quality, and the 5G system transmission time budget planning is not enough to deal with the worst case, and the actual transmission time of the 5G system exceeds the 5G system transmission time budget. Fig. 8 is a schematic diagram of the influence of another value of the retransmission factor on the 5G transmission time budget. In this figure, increasing the value of the retransmission factor in each channel quality ladder, under any channel conditions, the real transmission time of the 5G system will not exceed the transmission time budget of the 5G system, and in general channel quality (3≤ In the case of CQI<14) and poor channel quality CQI<3, there is still some redundancy in the transmission time budget of the 5G system to better deal with the worst case. It can also be seen from the figure that as the channel quality changes from good to bad, the probability of retransmission will gradually increase. However, since the 5G system adopts the URLLC function, multiple data retransmissions are avoided.

In the 5G and TSN joint time scheduling strategy proposed in this paper, the queue management in the TSN domain will no longer be performed according to the TSN first-come first-served The queuing priority of 5G air interface resources and channel conditions is defined. Figure 9 shows the transmission time of three service flows with the same service priority (that is, the same service period) in the TSN domain. It can be seen that the service flow corresponding to the poor channel condition of the 5G air interface resource has a lower delay in the TSN domain.

To sum up, on the basis of the 5G-TSN bridging network architecture proposed by 3GPP, the main work of the present invention for cross-domain joint scheduling of time-triggered service flows includes: due to the different channel quality of 5G air interface resources carrying different service flows, A 5G-TSN joint real-time scheduling mechanism based on wireless channel quality information is proposed, which mainly includes two aspects: On the one hand, a two-layer processing architecture of service flow based on 5G channel quality information in the TSN domain is proposed to improve the performance of low-channel traffic. The priority of service flow processing on data wireless resources, and the mathematical quantitative analysis of the transmission time of different service flows in the TSN domain; Air interface transmission time jitter, a 5G system transmission time budget mechanism for channel quality differences is proposed, which is adjusted by setting the retransmission factor under different channel conditions to eliminate the time jitter caused by data packet transmission in the 5G system, thereby providing time trigger Service flow provides deterministic end-to-end delay guarantee.

In some embodiments, part or all of the computer program may be loaded and/or installed onto the device via a ROM. When the computer program is loaded and executed, one or more steps of the methods described above may be performed.

The functions described above in this application may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate array (FPGA), application specific integrated circuit (ASIC), application specific standard product (ASSP), system on a chip (SOC), load programmable logic device (CPLD), etc.

Program codes for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special purpose computer, or other programmable data processing devices, so that the program codes, when executed by the processor or controller, make the functions/functions specified in the flow diagrams and/or block diagrams Action is implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer discs, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

In addition, while operations are depicted in a particular order, this should be understood to require that such operations be performed in the particular order shown, or in sequential order, or that all illustrated operations should be performed to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while the above discussion contains several specific implementation details, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

A 5G and TSN joint scheduling method based on wireless channel information, characterized in that the method comprises the following steps:

Obtain 5G channel information;

Perform two-level TSN domain queue management according to the acquired 5G channel information;

Perform 5G system transmission time budget setting according to the obtained 5G channel information;

The data packet is sent according to the two-level TSN domain queue management and the 5G system transmission time budget setting.
The joint scheduling method according to claim 1, wherein the two levels include a service flow level and a data packet level;

In the service flow level, mapping is performed according to the priority of the service flow, and service flows with different priorities enter different queues for processing;

In the data packet level, according to the first-in-first-out FIFO principle, the data packets are sent to the physical layer for transmission according to the condition of the gate control list.
The joint scheduling method according to claim 1, wherein the two-level TSN domain queue management is performed according to the obtained 5G channel information, which specifically includes:

After obtaining the wireless resource CQI information of the data packets carrying the service flow collected by the 5G base station side, the scheduling time of different data packets will be planned.
The joint scheduling method according to claim 3, wherein the planning of the scheduling time of different data packets specifically includes:

Assuming that the current service flow is f i , the number of service flows with higher priority than f i in the current cycle is N m ; and among the service flows with the same priority as f i , the number of service flows with lower CQI than f i is N s ;

TSN domain time
The expression is:

The relationship between service flow priority P and TSN domain time satisfies the following formula:
The joint scheduling method according to claim 1, wherein the setting of the 5G system transmission time budget specifically includes:

against
Budget 5G system transmission time
Calculated by the following formula:

Among them, τ(CQI i ) represents the time delay related to the air interface channel, and φ i represents the time delay irrelevant to the air interface transmission;

The time delay τ(CQI i ) related to the air interface channel includes the queuing time delay, transmission time delay and retransmission time delay caused by retransmission caused by the base station;

The air interface transmission-independent delay φ i includes core network/base station/terminal processing delay and core network transmission delay.
The joint scheduling method according to claim 5, wherein the time delay τ(CQI i ) related to the air interface channel is calculated by the following formula:

Indicates the data transmission rate of the 5G air interface for the service flow f i , and

Indicates the guaranteed bit rate of the 5G air interface for the service flow f i ;
Indicates the maximum bit rate of the 5G air interface for the service flow fi;

Represents the air interface transmission time of the data packet, d retx represents the retransmission delay of the data packet, and κ i represents the retransmission factor.
The joint scheduling method according to claim 6, wherein the value of the retransmission factor κ i adopts the following step function:

Wherein, the expected number of retransmissions is determined according to the channel quality information of the wireless resource carrying the service flow, and α 0 ≤α 1 ≤α 2 .
The joint scheduling method according to claim 5, wherein, assuming that f i and f i+1 respectively represent the stream sent currently and the stream sent in the next frame, the interval Λ between the two stream data packets should satisfy:

When Λ=l i /R TSN , then the 5G system transmission time budget of flow f i+1
will be corrected to:
An electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, wherein the processor implements the method according to any one of claims 1-8 when executing the program.
A computer-readable storage medium, on which a computer program is stored, wherein, when the program is executed by a processor, the method according to any one of claims 1-8 is implemented.