CN110798857A - Simulation method for influence of 5G slice network on service - Google Patents
Simulation method for influence of 5G slice network on service Download PDFInfo
- Publication number
- CN110798857A CN110798857A CN201910861024.9A CN201910861024A CN110798857A CN 110798857 A CN110798857 A CN 110798857A CN 201910861024 A CN201910861024 A CN 201910861024A CN 110798857 A CN110798857 A CN 110798857A
- Authority
- CN
- China
- Prior art keywords
- simulation
- services
- influence
- network
- slice network
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a method for simulating the influence of a 5G slice network on services, which comprises the following steps: physical connection characteristics of each 5G device are set up through simulation software, and related simulation parameters are calculated through an algorithm according to the physical characteristics on a service path; step two: the method comprises the steps of dividing a plurality of services to be connected into three groups according to the number, combining an actual 5G network card, carrying a first group of services, further slicing the services by using a 5G slicing network technology, deploying corresponding network resources, and then operating for a period of time, and relates to the technical field of 5G slicing networks. According to the simulation method for the influence of the 5G slice network on the services, through the operations from the first step to the third step, the simulation error can be simply and effectively obtained by comparing the simulation with the actual operation, and further the simulation program can be obtained when the 5G slice network carries and processes a group of services, so that the influence of the 5G slice network on the services can be conveniently researched.
Description
Technical Field
The invention relates to the technical field of 5G slice networks, in particular to a method for simulating the influence of a 5G slice network on services.
Background
The 5G network is a fifth generation network in the development of mobile communication networks, and compared with the previous four generation mobile networks, the 5G network shows more enhanced functions in the practical application process, and theoretically, the transmission speed can reach tens of GB per second, which is hundreds of times of that of the 4G mobile network, and for the 5G network, the 5G network shows more obvious advantages and more powerful functions in the practical application process. The 5g network belongs to a novel network mode at present, the popularity rate is still low, and further research and development are still needed.
The network slice is a networking mode according to needs, an operator can cut out a plurality of virtual end-to-end networks on a unified infrastructure, and each network slice is logically isolated from a wireless access network to a bearer network and then to a core network and is adapted to various types of service applications. In a network slice, at least including wireless subslice, bear subslice and core network subslice, simple summary, the network slice has accomplished: end-to-end customization on demand and isolation can be guaranteed, NFV (network function virtualization) is a prerequisite for implementing network slicing, and NFV takes a core network as an example to decompose software and hardware parts from traditional network element equipment. Hardware is uniformly deployed by a general server, and a software part is born by different NF (network function), so that the requirement of flexible assembly service is met, and the current 5G mainstream three application scenes are as follows: the eMBB, uRLLC and mMTC are three communication service types defined according to different requirements of a network on the number of users, QoS, bandwidth and the like, and correspond to three slices.
The technology of the existing 5G network in the aspect of service slicing processing is becoming mature, but a simple and effective test mode is lacked in the influence of the 5G slicing network on carrying different services, that is, no clearer simulation program exists when the 5G slicing network carries different types or different numbers of services.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a simulation method for the influence of a 5G slice network on services, which solves the problem that a simple and effective test mode is lacked in the influence of the 5G slice network on carrying different services, namely, no clearer simulation program exists when the 5G slice network carries different types or different numbers of services.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a simulation method for influence of a 5G slice network on services specifically comprises the following steps:
the method comprises the following steps: physical connection characteristics of each 5G device are set up through simulation software, and related simulation parameters are calculated through an algorithm according to the physical characteristics on a service path;
step two: dividing a plurality of services to be connected, such as dividing the services into three groups according to the number, combining an actual 5G network card, carrying a first group of services, further slicing the services by using a 5G slicing network technology, deploying corresponding network resources, and then after running for a period of time, calculating a real parameter corresponding to the simulation parameter in the first calculation step by using an algorithm according to physical characteristics of the real service;
step three: comparing the effect of the real service in the step two with the effect of the simulation parameter in the step one by using a PLA algorithm to obtain an error value between the effect of the real service and the effect of the simulation parameter, namely obtaining specific data of the influence of the 5G slice network on the service, and correcting the simulation parameter;
step four: the corrected simulation parameters are used for reversely deducing parameters of the physical connection characteristics by an algorithm and correcting a simulation program of simulation software;
step five: carrying a second group of services again, repeating the second step and the third step, comparing again to obtain errors of the simulation parameters and the real parameters, recording the errors, calculating and analyzing the errors twice, and modifying and perfecting the correction mode of the parameters in the fourth step;
step six: and correcting the simulation program of the second group by using the new parameter correction mode obtained in the fifth step, then loading the third group of services again, repeating the second step and the third step, then comparing error values again, and analyzing the influence of the 5G slice network when different numbers of services are loaded according to the existence or non-existence of the error or the size of the error value.
Preferably, in the first step, the physical connection characteristics of each device include a distance, an air interface channel characteristic, a physical device processing delay, and a system real-time service calculation path.
Preferably, in the first step, the simulation parameters include time delay, rate and bit error rate.
Preferably, the second step to the sixth step are divided into two groups for simulation experiments, and in the second step, when the plurality of services are divided into three groups, the services of the three groups are set to be the same and different, and correspond to the two groups of simulation experiments.
Preferably, the two sets of simulation experiments use the same set of simulation system, and the two sets of simulation experiments cannot be performed simultaneously.
Preferably, the results of the two sets of simulation experiments are also compared and analyzed, and the influence of the 5G slice network when different types of services are carried is analyzed.
Preferably, in the sixth step, if the rule of the error value cannot be analyzed, the service may be carried again for analysis, and the analysis is not limited to three groups.
Preferably, in the fifth step and the sixth step, if the error compared by the corrected simulation parameters is much larger than the error value of the previous comparison, the operation needs to be repeated again to eliminate the operation error.
(III) advantageous effects
The invention provides a method for simulating the influence of a 5G slice network on services. Compared with the prior art, the method has the following beneficial effects:
(1) the simulation method of the influence of the 5G slice network on the service comprises the following steps: physical connection characteristics of each 5G device are set up through simulation software, and related simulation parameters are calculated through an algorithm according to the physical characteristics on a service path; step two: dividing a plurality of services to be connected, such as dividing the services into three groups according to the number, combining an actual 5G network card, carrying a first group of services, further slicing the services by using a 5G slicing network technology, deploying corresponding network resources, and then after running for a period of time, calculating a real parameter corresponding to the simulation parameter in the first calculation step by using an algorithm according to physical characteristics of the real service; step three: and comparing the effect of the real service in the step two with the effect of the simulation parameter in the step one by using a PLA algorithm to obtain an error value between the effect of the real service and the effect of the simulation parameter, namely specific data of the 5G slice network on the influence of the service, correcting the simulation parameter, simply and effectively obtaining the simulation error by comparing the operations from the step one to the step three with the simulation and actual operations, and further obtaining a simulation program when the 5G slice network carries and processes a group of services, so that the influence of the 5G slice network on the service can be conveniently researched.
(2) The simulation method of the influence of the 5G slice network on the service comprises the following steps: the corrected simulation parameters are used for reversely deducing parameters of the physical connection characteristics by an algorithm and correcting a simulation program of simulation software; step five: carrying a second group of services again, repeating the second step and the third step, comparing again to obtain errors of the simulation parameters and the real parameters, recording the errors, calculating and analyzing the errors twice, and modifying and perfecting the correction mode of the parameters in the fourth step; step six: and correcting the simulation program of the second group by using the new parameter correction mode obtained in the fifth step, then loading the third group of services again, repeating the second step and the third step, then comparing error values again, analyzing the influence of the 5G slice network when different numbers of services are loaded according to whether the error exists or not, obtaining a more accurate simulation program by adding two groups of tests on the basis of one group of tests, correcting the error parameters after the two groups of tests, and then carrying out the next group of tests, and researching the influence of the 5G slice network after the number of the loaded programs is changed.
(3) The simulation method of the influence of the 5G slice network on the services comprises the steps of dividing a plurality of services into two groups from step two to step six, carrying out simulation experiments in step two, when the plurality of services are divided into three groups, setting the services of the three groups to be the same and different, corresponding to the two groups of simulation experiments, using the same set of simulation system for the two groups of simulation experiments, not carrying out the two groups of simulation experiments simultaneously, carrying out contrastive analysis on the results of the two groups of simulation experiments, carrying out analysis on the influence of the 5G slice network on different types of services, carrying out the two groups of contrastive experiments, carrying out analysis by adding the same type of programs and different types of programs, and carrying out the influence of the 5G slice network on the services so as to be convenient for deeper research.
Drawings
FIG. 1 is a system flow diagram of the present invention;
FIG. 2 is a simplified flow chart of the PLA algorithm of the present invention;
fig. 3 is the PLA algorithm formula of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, an embodiment of the present invention provides a technical solution: a simulation method for influence of a 5G slice network on services specifically comprises the following steps:
the method comprises the following steps: physical connection characteristics of each 5G device are set up through simulation software, and related simulation parameters are calculated through an algorithm according to the physical characteristics on a service path;
step two: dividing a plurality of services to be connected, such as dividing the services into three groups according to the number, combining an actual 5G network card, carrying a first group of services, further slicing the services by using a 5G slicing network technology, deploying corresponding network resources, and then after running for a period of time, calculating a real parameter corresponding to the simulation parameter in the first calculation step by using an algorithm according to physical characteristics of the real service;
step three: comparing the effect of the real service in the step two with the effect of the simulation parameter in the step one by using a PLA algorithm, obtaining an error value between the effect of the real service and the effect of the simulation parameter, obtaining specific data of the influence of the 5G slice network on the service, correcting the simulation parameter, simply and effectively obtaining the simulation error through the operations in the steps one to three and by using a mode of comparing simulation with actual operation, further obtaining a simulation program when the 5G slice network carries out carrying processing on a group of services, and facilitating the research on the influence of the 5G slice network on the service;
step four: the corrected simulation parameters are used for reversely deducing parameters of the physical connection characteristics by an algorithm and correcting a simulation program of simulation software;
step five: carrying a second group of services again, repeating the second step and the third step, comparing again to obtain errors of the simulation parameters and the real parameters, recording the errors, calculating and analyzing the errors twice, and modifying and perfecting the correction mode of the parameters in the fourth step;
step six: and correcting the simulation program of the second group by using the new parameter correction mode obtained in the fifth step, then loading the third group of services again, repeating the second step and the third step, then comparing error values again, analyzing the influence of the 5G slice network when different numbers of services are loaded according to whether the error exists or not, obtaining a more accurate simulation program by adding two groups of tests on the basis of one group of tests, correcting the error parameters after the two groups of tests, and then carrying out the next group of tests, and researching the influence of the 5G slice network after the number of the loaded programs is changed.
In the invention, in the first step, the physical connection characteristics of each device include distance, empty channel characteristics, physical device processing delay and system real-time service calculation path.
In the invention, in the first step, the simulation parameters comprise time delay, speed and error rate.
In the invention, the two steps to the six steps are divided into two groups for carrying out simulation experiments, and in the second step, when a plurality of services are divided into three groups, the services of the three groups are set to be the same and different, and correspond to the two groups of simulation experiments.
In the invention, the two sets of simulation experiments use the same set of simulation system, and the two sets of simulation experiments cannot be carried out simultaneously.
In the invention, the results of two sets of simulation experiments are also compared and analyzed, the influence of the 5G slice network when different types of services are carried is analyzed, and the influence of the 5G slice network on the services when the same program and different programs are added for carrying can be analyzed by setting the two sets of comparison experiments, so that deeper research can be conveniently carried out.
In the invention, in the sixth step, if the rule of the error value can not be analyzed, the service can be carried again for analysis, and the analysis is not limited to three groups.
In the invention, in the fifth step and the sixth step, if the error compared by the corrected simulation parameters is far larger than the error value compared in the previous time, the operation needs to be repeated again to eliminate the operation error.
The technical means which are not developed in the invention are the mature technical means in the field.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A simulation method for influence of a 5G slice network on services is characterized in that: the method specifically comprises the following steps:
the method comprises the following steps: physical connection characteristics of each 5G device are set up through simulation software, and related simulation parameters are calculated through an algorithm according to the physical characteristics on a service path;
step two: dividing a plurality of services to be connected, such as dividing the services into three groups according to the number, combining an actual 5G network card, carrying a first group of services, further slicing the services by using a 5G slicing network technology, deploying corresponding network resources, and then after running for a period of time, calculating a real parameter corresponding to the simulation parameter in the first calculation step by using an algorithm according to physical characteristics of the real service;
step three: comparing the effect of the real service in the step two with the effect of the simulation parameter in the step one by using a PLA algorithm to obtain an error value between the effect of the real service and the effect of the simulation parameter, namely obtaining specific data of the influence of the 5G slice network on the service, and correcting the simulation parameter;
step four: the corrected simulation parameters are used for reversely deducing parameters of the physical connection characteristics by an algorithm and correcting a simulation program of simulation software;
step five: carrying a second group of services again, repeating the second step and the third step, comparing again to obtain errors of the simulation parameters and the real parameters, recording the errors, calculating and analyzing the errors twice, and modifying and perfecting the correction mode of the parameters in the fourth step;
step six: and correcting the simulation program of the second group by using the new parameter correction mode obtained in the fifth step, then loading the third group of services again, repeating the second step and the third step, then comparing error values again, and analyzing the influence of the 5G slice network when different numbers of services are loaded according to the existence or non-existence of the error or the size of the error value.
2. The method for simulating the influence of a 5G slice network on services according to claim 1, wherein the method comprises the following steps: in the first step, the physical connection characteristics of each device include a distance, an air interface channel characteristic, a physical device processing delay, and a system real-time service calculation path.
3. The method for simulating the influence of a 5G slice network on services according to claim 1, wherein the method comprises the following steps: in the first step, the simulation parameters include time delay, rate and error rate.
4. The method for simulating the influence of a 5G slice network on services according to claim 1, wherein the method comprises the following steps: and in the second step, when the plurality of services are divided into three groups, the three groups of services are set to be the same or different, and correspond to the two groups of simulation experiments.
5. The method for simulating the influence of a 5G slice network on services according to claim 4, wherein the method comprises the following steps: the two sets of simulation experiments use the same set of simulation system, and the two sets of simulation experiments cannot be carried out simultaneously.
6. The method for simulating the influence of a 5G slice network on services according to claim 4, wherein the method comprises the following steps: and the results of the two sets of simulation experiments are also compared and analyzed, and the influence of the 5G slice network in carrying different types of services is analyzed.
7. The method for simulating the influence of a 5G slice network on services according to claim 1, wherein the method comprises the following steps: in the sixth step, if the rule of the error value cannot be analyzed, the service can be carried again for analysis, and the analysis is not limited to three groups.
8. The method for simulating the influence of a 5G slice network on services according to claim 1, wherein the method comprises the following steps: in the fifth step and the sixth step, if the error compared by the corrected simulation parameters is far larger than the error value compared in the previous time, the operation needs to be repeated again to eliminate the operation error.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910861024.9A CN110798857B (en) | 2019-09-11 | 2019-09-11 | Simulation method for influence of 5G slice network on service |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910861024.9A CN110798857B (en) | 2019-09-11 | 2019-09-11 | Simulation method for influence of 5G slice network on service |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110798857A true CN110798857A (en) | 2020-02-14 |
| CN110798857B CN110798857B (en) | 2023-03-21 |
Family
ID=69427234
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910861024.9A Active CN110798857B (en) | 2019-09-11 | 2019-09-11 | Simulation method for influence of 5G slice network on service |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110798857B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112165717A (en) * | 2020-10-16 | 2021-01-01 | 北京邮电大学 | RAN slice deployment method and device based on multi-path multi-copy and network controller |
| WO2022007964A1 (en) * | 2020-07-10 | 2022-01-13 | 中国移动通信有限公司研究院 | Test system, method and apparatus, device, and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170318468A1 (en) * | 2016-04-27 | 2017-11-02 | Kabushiki Kaisha Toshiba | Radio resource slicing in a radio access network |
| CN108702753A (en) * | 2016-01-13 | 2018-10-23 | 三星电子株式会社 | Method and apparatus for supporting multiple services in wireless communication system |
| US20180317133A1 (en) * | 2017-04-28 | 2018-11-01 | NEC Laboratories Europe GmbH | Method and system for network slice allocation |
| CN109361431A (en) * | 2018-12-13 | 2019-02-19 | 中国科学院计算技术研究所 | A kind of dispatching method and system of slice |
| CN109661039A (en) * | 2019-01-15 | 2019-04-19 | 北京泰德东腾通信技术有限公司 | 5G session establishing method and the protocol conformance test method of session release |
-
2019
- 2019-09-11 CN CN201910861024.9A patent/CN110798857B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108702753A (en) * | 2016-01-13 | 2018-10-23 | 三星电子株式会社 | Method and apparatus for supporting multiple services in wireless communication system |
| US20170318468A1 (en) * | 2016-04-27 | 2017-11-02 | Kabushiki Kaisha Toshiba | Radio resource slicing in a radio access network |
| US20180317133A1 (en) * | 2017-04-28 | 2018-11-01 | NEC Laboratories Europe GmbH | Method and system for network slice allocation |
| CN109361431A (en) * | 2018-12-13 | 2019-02-19 | 中国科学院计算技术研究所 | A kind of dispatching method and system of slice |
| CN109661039A (en) * | 2019-01-15 | 2019-04-19 | 北京泰德东腾通信技术有限公司 | 5G session establishing method and the protocol conformance test method of session release |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022007964A1 (en) * | 2020-07-10 | 2022-01-13 | 中国移动通信有限公司研究院 | Test system, method and apparatus, device, and storage medium |
| CN112165717A (en) * | 2020-10-16 | 2021-01-01 | 北京邮电大学 | RAN slice deployment method and device based on multi-path multi-copy and network controller |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110798857B (en) | 2023-03-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110347596B (en) | Test method, device, system, electronic equipment and medium | |
| CN110798857B (en) | Simulation method for influence of 5G slice network on service | |
| CN103686818B (en) | Simulation test method and equipment | |
| CN110474786B (en) | Method and device for analyzing VoLTE network fault reason based on random forest | |
| CN111431758A (en) | Cloud network equipment testing method and device, storage medium and computer equipment | |
| CN107911251B (en) | Network equipment configuration method, device and medium | |
| CN113099410B (en) | 5G power edge data transmission processing method, device, terminal and medium | |
| CN109089318B (en) | Method for allocating frequency channels to a plurality of adjacent access points | |
| CN107294745A (en) | Automatic topology discovery method and device | |
| CN110347383A (en) | The front end development approach and device of cross-platform desktop application | |
| CN112583644B (en) | Alarm processing method, device, equipment and readable storage medium | |
| CN111092752A (en) | Fault positioning method and device spanning multiple network slices | |
| CN102957572B (en) | A kind of System Performance Analysis method and device | |
| CN111315026B (en) | Channel selection method, device, gateway and computer readable storage medium | |
| CN113660687B (en) | Network difference cell processing method, device, equipment and storage medium | |
| CN106506182A (en) | A kind of method and system of configuration PTN business | |
| EP3560145B1 (en) | Apparatus and method for identifying network object groups | |
| CN104471888B (en) | Processing method, equipment and the system of free block IDLE in block of burst data | |
| Privalov et al. | Analysis and simulation of WAN traffic by self-similar traffic model with OMNET | |
| JP2013517684A (en) | Method for controlling resource usage within a communication system | |
| CN109857563A (en) | Task executing method, device and task execution system | |
| CN106793056B (en) | A kind of channel transmission signal alignment method and apparatus | |
| CN115499947A (en) | Data processing method, system, device and medium | |
| CN105656716B (en) | Protocol module performance test method and system | |
| CN109104730A (en) | A kind of network road measurement method, equipment and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |