CN112702144A - Parameter adjusting method and device, electronic equipment and computer storage medium - Google Patents
Parameter adjusting method and device, electronic equipment and computer storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/02—Capturing of monitoring data
- H04L43/028—Capturing of monitoring data by filtering
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/29—Flow control; Congestion control using a combination of thresholds
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The application provides a parameter adjusting method, a parameter adjusting device, electronic equipment and a computer storage medium. The parameter adjusting method comprises the following steps: under the condition that the user equipment is accessed to the 5G network, calculating the uplink perception rate and the downlink perception rate of the user equipment; identifying the service type of the user equipment through Deep Packet Inspection (DPI); respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service types; comparing the uplink sensing rate with an uplink sensing rate threshold and the downlink sensing rate with a downlink sensing rate threshold to obtain a comparison result; and adaptively adjusting the interoperation parameters according to the comparison result. According to the embodiment of the application, the parameters can be adjusted more accurately.
Description
Technical Field
The present application belongs to the field of communications technologies, and in particular, to a parameter adjusting method, an apparatus, an electronic device, and a computer storage medium.
Background
The parameter setting of the current anchor point is 'strictly in and out' according to the group unified specification, the access thresholds are uniformly set, and the setting is contradictory to the improvement of the shunting ratio of the 5G terminal in order to guarantee the perception under the 5G network.
In order to achieve a good balance between sensing and split ratio, targeted parameter setting adjustments are required for each 5G station.
Therefore, how to adjust the parameters more accurately is a technical problem that needs to be solved urgently by those skilled in the art.
Disclosure of Invention
The embodiment of the application provides a parameter adjusting method, a parameter adjusting device, electronic equipment and a computer storage medium, which can adjust parameters more accurately.
In a first aspect, an embodiment of the present application provides a parameter adjusting method, including:
under the condition that the user equipment is accessed to the 5G network, calculating the uplink perception rate and the downlink perception rate of the user equipment;
identifying the service type of the user equipment through Deep Packet Inspection (DPI);
respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service types;
comparing the uplink sensing rate with an uplink sensing rate threshold and the downlink sensing rate with a downlink sensing rate threshold to obtain a comparison result;
and adaptively adjusting the interoperation parameters according to the comparison result.
Optionally, when the service type is a page browsing type, determining the uplink sensing rate threshold and the downlink sensing rate threshold respectively according to the service type, including:
and respectively determining a page browsing uplink perception rate threshold and a page browsing downlink perception rate threshold according to the page browsing types.
Optionally, when the service type is a file transmission type, determining the uplink sensing rate threshold and the downlink sensing rate threshold according to the service type respectively includes:
and respectively determining a file transmission uplink perception rate threshold and a file transmission downlink perception rate threshold according to the file transmission type.
Optionally, when the service type is a video type, determining the uplink sensing rate threshold and the downlink sensing rate threshold according to the service type respectively includes:
and respectively determining a video uplink perception rate threshold and a video downlink perception rate threshold according to the video types.
Optionally, the comparing the uplink sensing rate with the uplink sensing rate threshold and the downlink sensing rate with the downlink sensing rate threshold to obtain a comparison result, including:
and judging whether the uplink sensing rate reaches an uplink sensing rate threshold or not and whether the downlink sensing rate reaches a downlink sensing rate threshold or not, and obtaining a comparison result.
Optionally, the comparison result indicates that the uplink sensing rate does not reach the uplink sensing rate threshold, and/or the downlink sensing rate does not reach the downlink sensing rate threshold; according to the comparison result, self-adaptive adjustment of interoperation parameters comprises the following steps:
and adaptively adjusting the uplink sensing rate threshold and the downlink sensing rate threshold according to the comparison result.
In a second aspect, an embodiment of the present application provides a parameter adjusting apparatus, including:
the computing module is used for computing the uplink perception rate and the downlink perception rate of the user equipment under the condition that the user equipment is accessed to the 5G network;
the identification module is used for identifying the service type of the user equipment through Deep Packet Inspection (DPI);
a determining module, configured to determine an uplink sensing rate threshold and a downlink sensing rate threshold according to the service type;
the comparison module is used for comparing the uplink sensing rate with an uplink sensing rate threshold and comparing the downlink sensing rate with a downlink sensing rate threshold to obtain a comparison result;
and the adjusting module is used for adaptively adjusting the interoperation parameters according to the comparison result.
Optionally, when the service type is a page browsing type, the determining module includes:
the first determining unit is used for respectively determining the upstream sensing rate threshold of the page browsing and the downstream sensing rate threshold of the page browsing according to the page browsing type.
Optionally, when the service type is a file transfer type, the determining module includes:
and the second determining unit is used for respectively determining the uplink sensing rate threshold of the file transmission and the downlink sensing rate threshold of the file transmission according to the file transmission type.
Optionally, when the service type is a video type, the determining module includes:
and the third determining unit is used for respectively determining the video uplink perception rate threshold and the video downlink perception rate threshold according to the video type.
Optionally, the alignment module includes:
and the judging unit is used for judging whether the uplink sensing rate reaches an uplink sensing rate threshold or not and whether the downlink sensing rate reaches a downlink sensing rate threshold or not, and obtaining a comparison result.
Optionally, the comparison result indicates that the uplink sensing rate does not reach the uplink sensing rate threshold, and/or the downlink sensing rate does not reach the downlink sensing rate threshold; an adjustment module, comprising:
and the adjusting unit is used for adaptively adjusting the uplink sensing rate threshold and the downlink sensing rate threshold according to the comparison result.
In a third aspect, an embodiment of the present application provides an electronic device, where the electronic device includes: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements the parameter adjustment method as shown in the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer storage medium, where computer program instructions are stored on the computer storage medium, and when the computer program instructions are executed by a processor, the parameter adjustment method according to the first aspect is implemented.
The parameter adjusting method, the parameter adjusting device, the electronic equipment and the computer storage medium can more accurately adjust the parameters. The parameter adjusting method comprises the steps of calculating the uplink perception rate and the downlink perception rate of user equipment under the condition that the user equipment is accessed to a 5G network; identifying the service type of the user equipment through DPI; respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service types; comparing the uplink sensing rate with an uplink sensing rate threshold and the downlink sensing rate with a downlink sensing rate threshold to obtain a comparison result; and according to the comparison result, the interoperation parameters can be adjusted in a self-adaptive manner more accurately.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a parameter adjustment method according to an embodiment of the present application;
fig. 2 is a schematic diagram of information interaction between a user terminal and a base station according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a parameter adjustment method according to another embodiment of the present application;
FIG. 4 is a schematic structural diagram of a parameter adjustment apparatus according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Features and exemplary embodiments of various aspects of the present application will be described in detail below, and in order to make objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are intended to be illustrative only and are not intended to be limiting. It will be apparent to one skilled in the art that the present application may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present application by illustrating examples thereof.
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. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In order to solve the prior art problems, embodiments of the present application provide a parameter adjusting method, apparatus, device, and computer storage medium. First, a parameter adjustment method provided in the embodiment of the present application is described below.
Fig. 1 shows a schematic flow chart of a parameter adjustment method according to an embodiment of the present application. As shown in fig. 1, the parameter adjusting method includes:
s101, under the condition that the user equipment is accessed to the 5G network, calculating the uplink perception rate and the downlink perception rate of the user equipment.
S102, identifying the service type of the user equipment through Deep Packet Inspection (DPI).
S103, respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service types.
In one embodiment, when the service type is a page browsing type, respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service type, includes:
and respectively determining a page browsing uplink perception rate threshold and a page browsing downlink perception rate threshold according to the page browsing types.
In one embodiment, when the service type is a file transmission type, respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service type, including:
and respectively determining a file transmission uplink perception rate threshold and a file transmission downlink perception rate threshold according to the file transmission type.
In one embodiment, when the service type is a video type, respectively determining the uplink perceptual rate threshold and the downlink perceptual rate threshold according to the service type, includes:
and respectively determining a video uplink perception rate threshold and a video downlink perception rate threshold according to the video types.
S104, comparing the uplink sensing rate with an uplink sensing rate threshold and comparing the downlink sensing rate with a downlink sensing rate threshold to obtain a comparison result.
In one embodiment, comparing the uplink sensing rate with the uplink sensing rate threshold and comparing the downlink sensing rate with the downlink sensing rate threshold to obtain a comparison result, includes:
and judging whether the uplink sensing rate reaches an uplink sensing rate threshold or not and whether the downlink sensing rate reaches a downlink sensing rate threshold or not, and obtaining a comparison result.
And S105, adaptively adjusting interoperation parameters according to the comparison result.
In one embodiment, the comparison result indicates that the uplink sensing rate does not reach the uplink sensing rate threshold, and/or the downlink sensing rate does not reach the downlink sensing rate threshold; according to the comparison result, self-adaptive adjustment of interoperation parameters comprises the following steps: and adaptively adjusting the uplink sensing rate threshold and the downlink sensing rate threshold according to the comparison result.
The parameter adjusting method comprises the steps of calculating the uplink perception rate and the downlink perception rate of user equipment under the condition that the user equipment is accessed to a 5G network; identifying the service type of the user equipment through DPI; respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service types; comparing the uplink sensing rate with an uplink sensing rate threshold and the downlink sensing rate with a downlink sensing rate threshold to obtain a comparison result; and according to the comparison result, the interoperation parameters can be adjusted in a self-adaptive manner more accurately.
The above technical solution is explained below with a specific example.
The scheme is to perform anchor entry and anchor exit threshold self-optimization adjustment based on the actual perception situation of a 5G terminal user, so as to achieve the aim of 5G residence ratio and 5G network perception double-optimization. The specific scheme is as follows:
the scheme aims at: the residence capacity of the 5G terminal in the 5G network is improved to the maximum extent on the basis of ensuring the perception of the 5G terminal user, and the 5G traffic residence ratio of the 5G terminal is improved.
The algorithm implementation flow is as follows:
the method comprises the following steps: the whole network issues a low basic parameter threshold 1 according to the requirement, such as a B1 basic threshold added to manage a Secondary Cell Group (SCG): 120dbm, the A2 base threshold for SCG deletion set to-125 dbm, thus setting a maximum coverage range substantially equivalent to 5G;
step two: after a 5G terminal accesses a 5G network, uplink and downlink perception rates of a User terminal (User Equipment, UE) are calculated during measurement of a 5G site, meanwhile, a base station side analyzes the service class of the UE through DPI (deep packet inspection), and corresponding uplink and downlink perception rate thresholds are set on the basis of different services performed by the terminal, for example, the 5G User can normally and well perceive webpages when the perception rate is reached, wherein the uplink perception rate UL:500Kbps and the downlink perception rate DL:3Mbps of the service of a Hypertext Transfer Protocol (HTP) are set.
And (3) service analysis: the TOP3 service types of the 5G network are video, page browsing and file transmission. Aiming at the three major services, three groups of thresholds of uplink and downlink sensing rates are set according to the requirement characteristics of the services on the rates:
and (3) page browsing: a pageview Uplink (UL) rate threshold and a pageview Downlink (DL) rate threshold
File transmission: file transfer UL rate threshold, file transfer DL rate threshold
Video class: video UL rate threshold, video DL rate threshold
The method for calculating the uplink and downlink sensing rate can calculate through a signaling reported by 5G flow:
the 5G NSA flow reporting flow is mainly attached to the 4G service signaling flow, a 5G base station (gNodeB) reports the flow to a 4G anchor point eNodeB, the eNodeB completes the flow reporting process by adding a new message or a new cell in the 4G flow, and the related signaling is as follows:
the SgNB sends a message to the eNodeB carrying a 5G traffic statistics Report (Secondary RAT Usage Report List).
The size and timestamp of the uplink and downlink data packet can be obtained from the signaling, and then after receiving the signaling, the anchor base station forwards the message to a Mobility Management Entity (MME) in addition to the conventional charging requirement, and performs processing calculation to obtain the rate condition of the 5G terminal in the 5G network:
actual upstream sensing rate ═ usageCountUL ÷ (endTimestamp-startTimestamp);
actual downlink sensing rate ═ usageCountDL ÷ (endTimestamp-startTimestamp);
step three: comparing the calculated uplink and downlink sensing rates with the threshold set at the 4G anchor station, the following scenarios can be obtained:
case 1: actual uplink sensing rate > UL rate threshold & actual downlink sensing rate > DL rate threshold;
case 2: actual uplink perceived rate > UL rate threshold & actual downlink perceived rate < DL rate threshold;
case 3: actual uplink sensing rate < UL rate threshold & actual downlink sensing rate > DL rate threshold;
case 4: actual uplink perceived rate < UL rate threshold & actual downlink perceived rate < DL rate threshold.
For the above four cases, except case 1, the current actual uplink and downlink sensing rate can reach the reference value, and the other three cases temporarily do not reach our 5G commercial sensing rate, so the further scheme for different cases is as follows:
step four: and adaptively adjusting interoperation parameters according to the real-time user perception of the 5G terminal.
For case 1: all reach the perception rate threshold, the 4G anchor point can keep the threshold unchanged, and the maximum coverage of 5G is kept;
for the case 234, the 5G coverage needs to be shrunk, so that the UE deletes the SCG leg, releases the camping to the 4G network at an early point, and also issues a Radio Resource Control (RRC) reconfiguration message to the UE, where the message carries a new threshold: the B1 threshold of adding SCG is basic threshold (-120dbm) +, and the a2 threshold of deleting SCG is basic threshold (-125dbm) +, where the value can be calculated according to the MR of NR reported by the current UE, for example, the MR reported currently is-115 dbm, which means that the NR level measured at the location of the UE is-115 dbm, which is unable to satisfy the current service awareness, and SCG needs to be deleted in time, so-125 + § needs to be-115, and then-10 needs.
As shown in fig. 2, the eNodeB performs RRC reconfiguration for the UE: carrying new B1 and a 2; the UE makes NR level measurements to the eNodeB based on the new measurement control.
Looping after the UE accesses the SgNB in the above steps to ensure that the UE can stay in the 5G network as much as possible when the UE reaches the basic sensing rate, where the flowchart is shown in fig. 3: 5G UE is accessed to an anchor point for the first time, the anchor point issues reference thresholds B1 and A2, the UE measures and accesses to 5G, network measurement identifies the current service category through DPI, the anchor point calculates the real-time rate according to UE 5G flow reporting signaling, and the anchor point compares the calculated uplink and downlink rates with the thresholds according to the service category carried out by the UE to determine whether the calculated uplink and downlink rates reach the standard or not; if at least one of the thresholds is not reached, adjusting the threshold, and increasing the amount on the basis of B1 and A2, wherein the increasing amount can be calculated according to the current MR report, the base station issues a new threshold through RRC reconfiguration, and the UE judges whether the UE can reside; and if the threshold is reached, keeping the threshold unchanged, and continuing to enable the UE to reside in the 5G network.
The method comprises the steps of identifying the real-time service class of a 5G terminal user through a DPI, assigning an uplink and downlink rate threshold according to the service class, calculating the real-time 5G rate by combining data reported by the 5G terminal in real time, and adjusting interoperation parameters of a Non-independent Network (NSA) in real time based on the real-time 5G rate so as to maximally stay in the 5G network on the basis of ensuring user perception and improve the 5G stay ratio.
Fig. 4 is a schematic structural diagram of a parameter adjusting apparatus according to an embodiment of the present application, and as shown in fig. 4, the parameter adjusting apparatus includes:
a calculating module 401, configured to calculate an uplink sensing rate and a downlink sensing rate of a user equipment when the user equipment accesses a 5G network;
an identifying module 402, configured to identify a service type of a user equipment through Deep Packet Inspection (DPI);
a determining module 403, configured to determine an uplink sensing rate threshold and a downlink sensing rate threshold according to the service type;
a comparison module 404, configured to compare the uplink sensing rate with an uplink sensing rate threshold, and compare the downlink sensing rate with a downlink sensing rate threshold, so as to obtain a comparison result;
and an adjusting module 405, configured to adaptively adjust the interoperation parameters according to the comparison result.
In one embodiment, when the service type is a page browsing type, the determining module 403 includes:
the first determining unit is used for respectively determining the upstream sensing rate threshold of the page browsing and the downstream sensing rate threshold of the page browsing according to the page browsing type.
In one embodiment, when the service type is a file transfer type, the determining module 403 includes:
and the second determining unit is used for respectively determining the uplink sensing rate threshold of the file transmission and the downlink sensing rate threshold of the file transmission according to the file transmission type.
In one embodiment, when the service type is a video type, the determining module 403 includes:
and the third determining unit is used for respectively determining the video uplink perception rate threshold and the video downlink perception rate threshold according to the video type.
In one embodiment, the alignment module 404 includes:
and the judging unit is used for judging whether the uplink sensing rate reaches an uplink sensing rate threshold or not and whether the downlink sensing rate reaches a downlink sensing rate threshold or not, and obtaining a comparison result.
In one embodiment, the comparison result indicates that the uplink sensing rate does not reach the uplink sensing rate threshold, and/or the downlink sensing rate does not reach the downlink sensing rate threshold; an adjustment module 405, comprising:
and the adjusting unit is used for adaptively adjusting the uplink sensing rate threshold and the downlink sensing rate threshold according to the comparison result.
Each module/unit in the apparatus shown in fig. 4 has a function of implementing each step in fig. 1, and can achieve the corresponding technical effect, and for brevity, the description is not repeated here.
Fig. 5 shows a schematic structural diagram of an electronic device provided in an embodiment of the present application.
The electronic device may comprise a processor 501 and a memory 502 in which computer program instructions are stored.
Specifically, the processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
In one example, the Memory 502 may be a Read Only Memory (ROM). In one example, the ROM may be mask programmed ROM, programmable ROM (prom), erasable prom (eprom), electrically erasable prom (eeprom), electrically rewritable ROM (earom), or flash memory, or a combination of two or more of these.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to implement any one of the parameter adjusting methods in the above embodiments.
In one example, the electronic device can also include a communication interface 503 and a bus 510. As shown in fig. 5, the processor 501, the memory 502, and the communication interface 503 are connected via a bus 510 to complete communication therebetween.
The communication interface 503 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present application.
In addition, the embodiment of the application can be realized by providing a computer storage medium. The computer storage medium having computer program instructions stored thereon; the computer program instructions, when executed by a processor, implement any of the parameter adjustment methods in the above embodiments.
It is to be understood that the present application is not limited to the particular arrangements and instrumentality described above and shown in the attached drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications, and additions or change the order between the steps after comprehending the spirit of the present application.
The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the present application are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present application are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware for performing the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present application are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present application, and these modifications or substitutions should be covered within the scope of the present application.
Claims (10)
1. A method of parameter adjustment, comprising:
under the condition that user equipment is accessed to a 5G network, calculating an uplink perception rate and a downlink perception rate of the user equipment;
identifying the service type of the user equipment through Deep Packet Inspection (DPI);
respectively determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service types;
comparing the uplink sensing rate with the uplink sensing rate threshold and the downlink sensing rate with the downlink sensing rate threshold to obtain a comparison result;
and adaptively adjusting interoperation parameters according to the comparison result.
2. The method of claim 1, wherein when the service type is a page browsing type, the determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service type respectively comprises:
and respectively determining a page browsing uplink perception rate threshold and a page browsing downlink perception rate threshold according to the page browsing types.
3. The method of claim 1, wherein when the service type is a file transfer type, the determining an uplink sensing rate threshold and a downlink sensing rate threshold according to the service type respectively comprises:
and respectively determining a file transmission uplink perception rate threshold and a file transmission downlink perception rate threshold according to the file transmission types.
4. The method of claim 1, wherein when the service type is a video type, the determining the uplink perceptual rate threshold and the downlink perceptual rate threshold respectively according to the service type comprises:
and respectively determining a video uplink perception rate threshold and a video downlink perception rate threshold according to the video types.
5. The method of claim 1, wherein the comparing the uplink sensing rate with the uplink sensing rate threshold and the downlink sensing rate with the downlink sensing rate threshold to obtain a comparison result comprises:
and judging whether the uplink sensing rate reaches the uplink sensing rate threshold or not, and whether the downlink sensing rate reaches the downlink sensing rate threshold or not, and obtaining the comparison result.
6. The method according to claim 5, wherein the comparison result indicates that the uplink sensing rate does not reach the uplink sensing rate threshold, and/or that the downlink sensing rate does not reach the downlink sensing rate threshold; the self-adaptive adjustment of the interoperation parameters according to the comparison result comprises the following steps:
and adaptively adjusting the uplink perception rate threshold and the downlink perception rate threshold according to the comparison result.
7. A parameter adjustment device, comprising:
the computing module is used for computing the uplink perception rate and the downlink perception rate of the user equipment under the condition that the user equipment is accessed to the 5G network;
the identification module is used for identifying the service type of the user equipment through Deep Packet Inspection (DPI);
a determining module, configured to determine an uplink sensing rate threshold and a downlink sensing rate threshold according to the service type;
the comparison module is used for comparing the uplink sensing rate with the uplink sensing rate threshold and the downlink sensing rate with the downlink sensing rate threshold to obtain a comparison result;
and the adjusting module is used for adaptively adjusting the interoperation parameters according to the comparison result.
8. The apparatus of claim 7, wherein when the service type is a page browsing type, the determining module comprises:
and the first determining unit is used for respectively determining the upstream sensing rate threshold of the page browsing and the downstream sensing rate threshold of the page browsing according to the page browsing type.
9. An electronic device, characterized in that the electronic device comprises: a processor and a memory storing computer program instructions;
the processor, when executing the computer program instructions, implements a parameter adjustment method as claimed in any one of claims 1-6.
10. A computer storage medium having computer program instructions stored thereon, which when executed by a processor implement the parameter adjustment method of any one of claims 1-6.
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| CN202011504133.4A CN112702144B (en) | 2020-12-17 | 2020-12-17 | Parameter adjusting method and device, electronic equipment and computer storage medium |
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| CN202011504133.4A CN112702144B (en) | 2020-12-17 | 2020-12-17 | Parameter adjusting method and device, electronic equipment and computer storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114375020A (en) * | 2021-12-29 | 2022-04-19 | 中国电信股份有限公司 | Terminal behavior detection method and device, electronic equipment and storage medium |
| CN114726598A (en) * | 2022-03-28 | 2022-07-08 | 新华三信息安全技术有限公司 | Method and device for adjusting influence factors |
| CN114866433A (en) * | 2022-04-21 | 2022-08-05 | 中国移动通信集团陕西有限公司 | User service perception evaluation method, device, equipment and computer storage medium |
| WO2023093256A1 (en) * | 2021-11-25 | 2023-06-01 | 华为技术有限公司 | Parameter adjustment method and apparatus |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102883457A (en) * | 2011-07-15 | 2013-01-16 | 华为技术有限公司 | Method for guaranteeing quality of uplink service, base station and user equipment |
| CN103906144A (en) * | 2012-12-26 | 2014-07-02 | 中国移动通信集团上海有限公司 | Method and device for adjusting data service rate of mobile terminal |
| CN110972150A (en) * | 2019-12-12 | 2020-04-07 | 中国移动通信集团内蒙古有限公司 | Network capacity expansion method and device, electronic equipment and computer storage medium |
| CN111278039A (en) * | 2018-12-05 | 2020-06-12 | 中国移动通信集团四川有限公司 | User perception depression recognition method, device, equipment and medium |
| CN111385814A (en) * | 2018-12-27 | 2020-07-07 | 中国移动通信集团辽宁有限公司 | Method, device, equipment and medium for evaluating cell network load |
-
2020
- 2020-12-17 CN CN202011504133.4A patent/CN112702144B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102883457A (en) * | 2011-07-15 | 2013-01-16 | 华为技术有限公司 | Method for guaranteeing quality of uplink service, base station and user equipment |
| CN103906144A (en) * | 2012-12-26 | 2014-07-02 | 中国移动通信集团上海有限公司 | Method and device for adjusting data service rate of mobile terminal |
| CN111278039A (en) * | 2018-12-05 | 2020-06-12 | 中国移动通信集团四川有限公司 | User perception depression recognition method, device, equipment and medium |
| CN111385814A (en) * | 2018-12-27 | 2020-07-07 | 中国移动通信集团辽宁有限公司 | Method, device, equipment and medium for evaluating cell network load |
| CN110972150A (en) * | 2019-12-12 | 2020-04-07 | 中国移动通信集团内蒙古有限公司 | Network capacity expansion method and device, electronic equipment and computer storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023093256A1 (en) * | 2021-11-25 | 2023-06-01 | 华为技术有限公司 | Parameter adjustment method and apparatus |
| CN114375020A (en) * | 2021-12-29 | 2022-04-19 | 中国电信股份有限公司 | Terminal behavior detection method and device, electronic equipment and storage medium |
| CN114375020B (en) * | 2021-12-29 | 2024-03-26 | 中国电信股份有限公司 | Terminal behavior detection method and device, electronic equipment and storage medium |
| CN114726598A (en) * | 2022-03-28 | 2022-07-08 | 新华三信息安全技术有限公司 | Method and device for adjusting influence factors |
| CN114726598B (en) * | 2022-03-28 | 2024-02-09 | 新华三信息安全技术有限公司 | Influence factor adjusting method and device |
| CN114866433A (en) * | 2022-04-21 | 2022-08-05 | 中国移动通信集团陕西有限公司 | User service perception evaluation method, device, equipment and computer storage medium |
| CN114866433B (en) * | 2022-04-21 | 2024-03-22 | 中国移动通信集团陕西有限公司 | User service perception evaluation method, device, equipment and computer storage medium |
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