CN107592273B - Method and system for scheduling, evaluating and transmitting service data of air-ground broadband wireless communication - Google Patents
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Abstract
The invention provides a service data scheduling evaluation and transmission method and system for air-ground broadband wireless communication. The service data scheduling evaluation method comprises the following steps: classifying the service data to determine the priority of the service data, establishing a dynamic bandwidth allocation model based on the priority, real-time performance and service quality of the service data, determining the income per unit time based on the dynamic bandwidth allocation model and the income per unit bandwidth, calculating the maximum value of the income per unit time, and determining the dynamic bandwidth allocation of each service data according to the maximum value of the income per unit time.
Description
Technical Field
The invention relates to the field of general service data classification, in particular to a service data scheduling evaluation and transmission method and system for air-to-ground broadband wireless communication.
Background
The aviation air-ground broadband technology is a high and new technology for providing cabin broadband communication service for aircraft and aviation passengers, and is used for transmitting airplane flight dynamics, air traffic control instructions, meteorological information and aviation transportation business information and communication information required by passengers in the flight process.
With the rapid increase of air communication traffic, communication technology is rapidly developed towards a broadband direction so as to meet the requirements of ever-increasing civil aviation communication traffic on communication bandwidth and high communication accuracy. At present, the mainstream civil aircraft adopts buses such as ARINC429, ARINC485, ARINC664 and ARINC825 to bear aviation communication services based on widely applied TCP/IP protocols.
In the transmission process of communication data, due to the complexity of air communication and the mutual influence and interaction among a plurality of transmission targets, reasonable quantitative analysis cannot be made due to the lack of an effective analysis tool, so that the air-ground wireless communication efficiency cannot be fully and effectively utilized.
Therefore, the reasonable analysis, effective evaluation and dynamic scheduling of the communication data are technical problems to be solved by those skilled in the art.
Disclosure of Invention
Aiming at the problems in the prior art, the invention carries out mathematical modeling on the value of the airplane service data according to safety, economy, comfort and maintainability; and a multi-target calculation and comprehensive evaluation method of operation research is applied to the classified transmission control of the business data of the air-ground broadband wireless communication, a quantitative calculation method is adopted to achieve the purpose of computer operation control, and the classified transmission method of the business data applied to the air-ground broadband wireless communication is provided.
In one aspect, the present invention provides a traffic data scheduling evaluation method for air-to-ground broadband wireless communication, including: classifying the service data to determine the priority of the service data, establishing a dynamic bandwidth allocation model based on the priority, real-time performance and service quality of the service data, determining the income per unit time based on the dynamic bandwidth allocation model and the income per unit bandwidth, calculating the maximum value of the income per unit time, and determining the dynamic bandwidth allocation of each service data according to the maximum value of the income per unit time.
In one embodiment, classifying the traffic data comprises: the method includes classifying according to security of the business to determine a first ranking score, classifying according to real-time of the business to determine a second ranking score, and classifying according to economy, maintainability and comfort of the business to determine a third ranking score.
In one embodiment, the determining the priority of the service data comprises adding the first ranking score, the second ranking score and the third ranking score with different weights to obtain a total score, and sorting the total score.
In one embodiment, the first ranking score is weighted more heavily than the second ranking score, which is weighted more heavily than the third ranking score.
In one embodiment, the total score is ranked from high to low, with higher total scores being higher priority.
In one embodiment, the quality of service of the traffic data includes a latency requirement of the traffic data.
In one embodiment, the method further comprises the step of not changing the grading score when the service data is transmitted within the allowed time delay range; and when the service data exceeds the allowed time delay range, dynamically modifying the priority according to the proportion of the occurred time delay to the maximum allowed time delay of the service.
In one embodiment, the ranking score of the traffic data is boosted up by a certain proportion when the proportion of the incurred delay to the maximum allowed delay is 30%, 50%, 60%, 70%, 80%, 90% or 100%, respectively.
In another aspect, a traffic data transmission method for air-to-ground broadband wireless communication is provided, the method comprising: the method comprises the steps of performing dynamic bandwidth allocation on service data through a service data scheduling evaluation method, scheduling and transmitting the service data according to a dynamic bandwidth allocation result of the service data, and dynamically adjusting dynamic bandwidth allocation limits occupied by the service data which is running and newly added service data after each preset time period is finished.
In another aspect, a traffic data scheduling evaluation system for air-to-ground broadband wireless communication is provided, the system comprising: the classification module is used for classifying the service data to determine the priority of the service data; an assignment module configured to: establishing a dynamic bandwidth allocation model based on the priority, real-time performance and service quality of the service data, determining the income per unit time based on the dynamic bandwidth allocation model and the income per unit bandwidth, calculating the maximum value of the income per unit time, and determining the dynamic bandwidth allocation of each service data according to the maximum value of the income per unit time.
In one embodiment, the classification module is further configured to: the method includes classifying according to security of the business to determine a first ranking score, classifying according to real-time of the business to determine a second ranking score, and classifying according to economy, maintainability and comfort of the business to determine a third ranking score.
In one embodiment, the classification module is further configured to add the first ranking score, the second ranking score, and the third ranking score with different weights to obtain a total score, and sort the total score.
In one embodiment, the first ranking score is weighted more heavily than the second ranking score, which is weighted more heavily than the third ranking score.
In one embodiment, the total score is ranked from high to low, with higher total scores being higher priority.
In one embodiment, the quality of service of the traffic data includes a latency requirement of the traffic data.
In one embodiment, the classification module is further configured to: when the service data is transmitted within the allowed time delay range, the grading score is not changed; and when the service data exceeds the allowed time delay range, dynamically modifying the grading score according to the proportion of the occurred time delay to the maximum allowed time delay of the service.
In one embodiment, the ranking score of the traffic data is boosted up by a certain proportion when the proportion of the incurred delay to the maximum allowed delay is 30%, 50%, 60%, 70%, 80%, 90% or 100%, respectively.
In another aspect, a service data transmission system for air-to-ground broadband wireless communication is provided, the system comprising: a service data scheduling evaluation system; the service data scheduling transmission module is configured to schedule and transmit the service data according to the dynamic bandwidth allocation result of the service data; and the dynamic adjustment module is configured to dynamically adjust the running service data and the dynamic bandwidth allocation limit occupied by the newly added service data after each preset time period is finished.
These and other aspects of the invention are apparent from and will be elucidated with reference to the embodiments described hereinafter. Moreover, those skilled in the art will appreciate that two or more of the above-described options, embodiments, and/or aspects of the invention can be combined in any available manner.
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Embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings:
FIG. 1 shows a flow diagram of a transfer task according to an embodiment of the invention;
FIG. 2 illustrates a job task run state mechanism according to an embodiment of the present invention;
FIG. 3 shows a flow diagram of a traffic data scheduling evaluation method according to an embodiment of the invention;
fig. 4 shows a diagram of various traffic data classifications.
It should be noted that elements denoted by the same reference numerals in different figures have the same structural features and the same functions. Wherein if the function and/or structure of the element has been explained in one drawing, it is not necessary to repeatedly explain it in the following. The figures are merely diagrammatic and not drawn to scale. Particularly for clarity, some dimensions are exaggerated.
Detailed Description
The invention is described in detail below with reference to the attached drawings, which form a part hereof, and in which are shown by way of illustration specific embodiments in which the invention may be practiced. It is to be understood that other embodiments may be utilized and structural or logical changes may be made without departing from the scope as defined by the claims.
The following description of the embodiments is not intended to be limiting. In particular, steps of different embodiments may be combined.
Fig. 1 shows a flow chart of a transmission task according to an embodiment of the invention. The flow chart shown in fig. 1 includes: sending one or more service data to a service transmission application block, performing bandwidth allocation on the service data through a service data scheduling evaluation method, transmitting an allocation result to a service transmission scheduling system for scheduling, transmitting the service data, and dynamically adjusting the bandwidth allocation limit occupied by the service data which is running and newly added service data after each preset time period is finished.
For example, after the ith task is generated, it is sent to the service transmission application block and timing is started. The service data scheduling evaluation method comprises the steps of inquiring the attribute of a task in a service attribute library and feeding the attribute back to a service data scheduling evaluation system; and realizing the maximum value of the comprehensive profit in the service data scheduling and evaluating system.
And judging whether the service is finished or not within a preset time period from the beginning of the timing time, if so, finishing the service transmission, and if not, returning to the service transmission application block again, thereby dynamically adjusting the bandwidth allocation limit occupied by the unfinished service data and the newly added service data. In one embodiment, the predetermined period of time is 60 seconds.
The service data scheduling and evaluating mechanism can rely on the powerful computing power of the current comprehensive processing computer and realize the computation of multiple target values through solidified software. Through rapid calculation, a group of distribution results with the maximum target value (the maximum value of the income per unit time) is selected in a variable bandwidth range, and the bandwidth distribution limit of each service plate in the next time period is configured according to the distribution results, so that the state of each service plate is continuously adjusted, and the obtained income is ensured to be the maximum on the premise of normal operation of each service.
As shown in fig. 2, as can be seen from the job task running state mechanism according to the embodiment of the present invention, four processes of preparation, suspension, running, and exit are experienced for each task. For each task, switching between pending and running, whether to run directly after readiness or to suspend operations, all need to be done by traffic data scheduling evaluation.
Fig. 3 shows a flowchart of a traffic data scheduling evaluation method according to an embodiment of the present invention. The method comprises the steps of classifying business data to determine the priority of the business data, establishing a dynamic bandwidth allocation model based on the priority, real-time performance and service quality of the business data, determining the income per unit time based on the dynamic bandwidth allocation model and the income per unit bandwidth, calculating the maximum value of the income per unit time, and determining the dynamic bandwidth allocation of each business data according to the maximum value.
For example, in the case of a ground-to-air broadband communication application with a total number of services of N (unit: one) and a total bandwidth of air-to-ground communication of W (unit: Mbps), the basic principle of service data scheduling evaluation can be expressed by the following equation.
Wherein: v represents the value of the profit in unit time (in:/s); c represents the gain per bandwidth (in:/Mb); t represents the real-time requirement of each service data, namely how long the unit bandwidth requirement of the service data is transmitted (unit: s/M); p represents a priority; q represents the quality of service of each traffic data; f represents a dynamic bandwidth allocation relation established by the transmission service according to the real-time requirement t, the priority P, the service transmission quality Q and the like; n represents the total number of services (unit: number); w represents the total bandwidth (unit: Mbps) of air-ground communication; k denotes the kth traffic data, k being 0, 1.
Equation (1) represents the yield per unit time, equation (2) is a constraint condition of equation (1), that is, the total bandwidth is a predetermined value, and the maximum value of equation (1) is solved under the condition of equation (2), thereby determining the dynamic bandwidth allocation for each traffic data.
At 301, traffic data is classified to determine a priority of the traffic data. As shown in fig. 4, the traffic data has different priority levels based on security and real-time requirements. For example, the typing parameter data is downloaded in real time, the multimedia electronic flight bag, the airplane flight and operation and maintenance state data are downloaded in high importance, but the real-time requirement is low. The ground-air real-time bidirectional audio-video call service, the air route meteorological information service, the air route information service, the airplane auxiliary monitoring, the onboard video real-time monitoring downloading and the like have high importance and high real-time requirement. The importance of business office, voice call on passenger plane, passenger audio and video conference, social interaction, news information and web browsing, air television live broadcast service, online game and the like is low, but the real-time requirement is high. The importance degree of cabin log downloading, air electronic shopping, e-mails, online music on demand and the like is low, and the real-time requirement is low. Traffic data needs to be classified from multiple aspects.
In one embodiment, classifying the business data includes classifying with security of the business and determining a first ranking score, classifying according to real-time of the business and determining a second ranking score, and classifying according to economy, maintainability, and comfort of the business and determining a third ranking score.
In which the traffic transmitted is classified according to the security of the aircraft, i.e. according to the security and the security association. In one application, the design assurance level DAL (design assurance level) classification is taken as an example, wherein the level of DAL a is 5, the level of DAL B is 4, the level of DAL C is 3, the level of DAL D is 2, and the level of DAL E is 1, i.e., the first grading score.
In one example, the second classification based on real-time may be implemented by defining the real-time requirement as 10 levels, with the highest requirement being 10, each level being decremented by 1, and the lowest requirement being 1, i.e., the second ranking score.
In one example, a third classification based on economy, serviceability, and comfort may be implemented to define it as 10 grades, with the highest value of the business being 10, each grade being reduced by 1, and the lowest being required to be 1, i.e., the third grading score.
According to the classification, the step of determining the priority of the service data comprises the step of adding the first grading score, the second grading score and the third grading score by different weights to obtain a total score.
In one embodiment, the first ranking score is weighted more heavily than the second ranking score, which is weighted more heavily than the third ranking score. For example, the first scaling factor is multiplied by a first coefficient, which in one example is 100. The second scaling fraction is multiplied by a second coefficient, which in one example is 50. The third scaling fraction is multiplied by a third coefficient, which in one example is 10. In different applications, the skilled person may adjust with different first, second and third coefficients.
The resulting total scores are then sorted from high to low, with higher total scores having higher priority. In one example, the highest level of the priority ranking is 0 level, the lowest level is N level, and the total number of the priorities and the priority number of each service data are dynamically adjusted according to the increase and decrease of the number of the services. In each time period, for the k-th service data, the priority can be determined to be pkThis value is substituted into equation (1) to solve.
At 302, priority p based on traffic datakReal-time requirement tkQuality of service QkDetermining a dynamic bandwidth allocation model f (t)k，pk，Qk). In yet another embodiment, the dynamic bandwidth allocation model may be based on other requirements, such as safety, latency, cost efficiency, flight efficiency, availability, environment, and the like.
In one embodiment, the quality of service of the traffic data includes a latency requirement of the traffic data. Each traffic data has its maximum delay requirement, which may be in the order of ms, or in units of days. Therefore, each service data is timed when entering the preparation phase, and the delay time is continuously compared with the maximum allowed delay time.
When the service data is transmitted within the allowed time delay range, the grading score is not changed; and when the service data exceeds the allowed time delay range, dynamically modifying the priority according to the proportion of the occurred time delay to the maximum allowed time delay of the service. In one embodiment, the service data priority is continuously affected as the delay time is continuously close to the maximum allowed delay. The change of the priority of the service data is that the new total priority score is determined according to the percentage of the occurred time delay divided by the minimum time delay requirement, and then the total score determined by the service priority is multiplied, and the original total score of the service data is added.
In one embodiment, the ranking score of the traffic data is raised by a certain percentage upwards when the proportion of the incurred delay to the maximum allowed delay is 30%, 50%, 60%, 70%, 80%, 90% or 100%, respectively. For example, an alert level is established at 30%, 50%, 60%, 70%, 80%, 90%, or 100%, respectively, and the priority score of the traffic data is increased upward with each increasing delay "1/7 multiplied by the most recently calculated total score for that traffic priority".
At 303, a revenue per unit time V is determined based on the dynamic bandwidth allocation model and the revenue per unit bandwidth.
Wherein the bandwidth profit C is a very important weighting factor in the traffic data scheduling evaluation method. Because the market in actual service can price each service data according to the difference of the value content of each service data, the data with higher profit not only obtains a higher third grading score in the third classification with economy and the like, but also dynamically increases the bandwidth of the data with high value according to the value profit of the unit data through the requirement of the maximum target value. The service quality of the data with high value is ensured as much as possible while the lowest service quality of the data with low value is ensured, so that the maximum benefit is obtained.
The bandwidth is usually adjusted according to the following method, the service with the lowest value of unit bandwidth is taken as a reference price, the reference is 1, other service prices are divided by the reference price, the price ratio of each service data is calculated by rounding up, and the service data bandwidth resource is adjusted to be higher according to the common logarithm value of the ratio as a ratio.
At 304, a maximum value of the revenue V per unit time is calculated and a dynamic bandwidth allocation for each traffic data is determined based on the maximum value, wherein the total bandwidth is a fixed value.
In the embodiment of the invention, the aviation classification transmission method is mainly based on an information transmission mechanism and combined with a computer program time slice rotation scheduling mechanism to allocate bandwidth to each task within a rated time length, and intelligently select different air-ground transmission channels for transmission, such as an air-ground SATCOM satellite channel, an ATG macro-cellular channel, an airport ground cellular channel, an airport WiFi channel and the like.
While the invention has been described in connection with several embodiments, the invention is not limited thereto but covers various modifications and equivalent arrangements, which fall within the purview of the appended claims. Although features of embodiments of the invention are expressed in certain combinations among the claims, it is contemplated that these features can be arranged in any combination and order and such variations are within the scope of the invention.
Claims (18)
1. A service data scheduling evaluation method for air-to-ground broadband wireless communication comprises the following steps:
classifying the traffic data to determine a priority of the traffic data,
establishing a dynamic bandwidth allocation model based on the priority, real-time and quality of service of the traffic data,
determining a revenue per unit time based on the dynamic bandwidth allocation model and the revenue per unit bandwidth,
calculating the maximum value of the unit time income, and determining the dynamic bandwidth allocation of each service data according to the maximum value of the unit time income;
wherein when the service data exceeds the allowed delay range, the priority is dynamically modified according to the proportion of the occurred delay to the maximum allowed delay of the service,
and after each preset time period is finished, dynamically adjusting the dynamic bandwidth allocation limit occupied by the running service data and the newly added service data.
2. The method of claim 1, wherein classifying the traffic data comprises: the method includes classifying according to security of a service to determine a first ranking score, classifying according to instantaneity of the service to determine a second ranking score, and classifying according to economy, maintainability, and comfort of the service to determine a third ranking score.
3. The method of claim 2, wherein prioritizing the traffic data comprises adding the first ranking score, the second ranking score, and the third ranking score with different weights to obtain a total score and ordering the total score.
4. The method of claim 3, wherein the first ranking score is weighted more heavily than the second ranking score, which is weighted more heavily than the third ranking score.
5. The method according to claim 3 or 4, wherein the total score is ordered from high to low, the higher the total score the higher the priority.
6. The method of claim 1, the quality of service of the traffic data comprising a latency requirement of the traffic data.
7. The method of claim 1 or 6, further comprising:
when the service data is transmitted within the allowed time delay range, the priority is not changed.
8. The method of claim 3, wherein the total score of the traffic data is raised upward by a certain proportion when the ratio of the occurred delay to the maximum allowed delay is 30%, 50%, 60%, 70%, 80%, 90% or 100%, respectively.
9. A traffic data transmission method for air-to-ground broadband wireless communication, comprising:
performing dynamic bandwidth allocation on the traffic data by the traffic data scheduling evaluation method according to any of claims 1-8,
and scheduling and transmitting the service data according to the dynamic bandwidth allocation result of the service data.
10. A traffic data scheduling evaluation system for air-to-ground broadband wireless communication, comprising:
the classification module is used for classifying the service data to determine the priority of the service data, wherein the classification module is further configured to dynamically modify the priority according to the proportion of the occurred time delay to the maximum allowable time delay of the service when the service data exceeds the allowable time delay range;
an assignment module configured to:
establishing a dynamic bandwidth allocation model based on the priority, real-time and quality of service of the traffic data,
determining a revenue per unit time based on the dynamic bandwidth allocation model and the revenue per unit bandwidth,
calculating the maximum value of the unit time gain, and determining the dynamic bandwidth allocation of each service data according to the maximum value of the unit time gain,
and the dynamic adjustment module is configured to dynamically adjust the dynamic bandwidth allocation limit occupied by the running service data and the newly added service data after each preset time period is finished.
11. The system of claim 10, wherein the classification module is further configured to: the method includes classifying according to security of a service to determine a first ranking score, classifying according to instantaneity of the service to determine a second ranking score, and classifying according to economy, maintainability, and comfort of the service to determine a third ranking score.
12. The system of claim 11, wherein the classification module is further configured to add the first ranking score, the second ranking score, and the third ranking score with different weights to obtain a total score and rank the total score.
13. The system of claim 12, wherein the first ranking score is weighted more heavily than the second ranking score, which is weighted more heavily than the third ranking score.
14. The system of claim 12 or 13, wherein the total score is ranked from high to low, with higher priority being given to higher total scores.
15. The system of claim 10, the quality of service of the traffic data comprising a latency requirement of the traffic data.
16. The system of claim 10 or 15, the classification module further configured to:
when the service data is transmitted within the allowed time delay range, the priority is not changed.
17. The system of claim 12, wherein the total score of the traffic data is boosted upward by a proportion when the proportion of incurred latency to the maximum allowed latency is 30%, 50%, 60%, 70%, 80%, 90%, or 100%, respectively.
18. A traffic data transmission system for air-to-ground broadband wireless communication, comprising:
traffic data scheduling evaluation system according to any of claims 10-17,
and the service data scheduling and transmitting module is configured to schedule and transmit the service data according to the dynamic bandwidth allocation result of the service data.
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| CN102300323B (en) * | 2011-08-23 | 2014-05-28 | 西安空间无线电技术研究所 | Space-borne wireless resource management distribution method |
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| CN1972462A (en) * | 2005-11-23 | 2007-05-30 | 大唐移动通信设备有限公司 | Packet service scheduling method in mobile communication system |
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