CN112996063B - Network switching method and server - Google Patents

Network switching method and server Download PDF

Info

Publication number
CN112996063B
CN112996063B CN201911311834.3A CN201911311834A CN112996063B CN 112996063 B CN112996063 B CN 112996063B CN 201911311834 A CN201911311834 A CN 201911311834A CN 112996063 B CN112996063 B CN 112996063B
Authority
CN
China
Prior art keywords
target service
target
influence factor
threshold value
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.)
Active
Application number
CN201911311834.3A
Other languages
Chinese (zh)
Other versions
CN112996063A (en
Inventor
普波
雷鹤
沈卫红
田四梅
赵娜
蔡远来
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Mobile Communications Group Co Ltd
China Mobile Group Sichuan Co Ltd
Original Assignee
China Mobile Communications Group Co Ltd
China Mobile Group Sichuan Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Mobile Communications Group Co Ltd, China Mobile Group Sichuan Co Ltd filed Critical China Mobile Communications Group Co Ltd
Priority to CN201911311834.3A priority Critical patent/CN112996063B/en
Publication of CN112996063A publication Critical patent/CN112996063A/en
Application granted granted Critical
Publication of CN112996063B publication Critical patent/CN112996063B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0058—Transmission of hand-off measurement information, e.g. measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00837—Determination of triggering parameters for hand-off
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/16—Performing reselection for specific purposes
    • H04W36/165—Performing reselection for specific purposes for reducing network power consumption
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/26—Reselection being triggered by specific parameters by agreed or negotiated communication parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22—Traffic simulation tools or models
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • 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
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the invention discloses a network switching method and a server, which are used for solving the problems that the prior art does not consider the actual Qos requirements of different data services on a network and cannot provide differentiated services. The method comprises the following steps: adjusting the service quality bearing type of the target service; acquiring each influence factor index of the target service from an MR measurement data report of a target network area according to the service quality bearing type of the target service; determining a reference switching threshold value of the target service according to the actual measurement threshold value of each influence factor index of the target service, each influence factor index and the weight thereof; determining a real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service acquired in real time; if the real-time switching threshold value is larger than the reference switching threshold value, network switching operation from the target network area to the adjacent network area is executed, different requirements of different services on the service quality of the network can be met, and personalized services can be provided.

Description

Network switching method and server
Technical Field
The embodiment of the invention relates to the field of mobile communication, in particular to a network switching method and a server.
Background
With the popularization of smart phones and the rapid development of 4G networks, the scale of mobile game business users is on a steady growth trend. The Long Term Evolution (LTE) network has the problems of large delay, data packet loss and the like when carrying the hand-game service, and the user has a prominent stuck problem in the game process, which seriously affects the application experience of the game player and reduces the customer satisfaction.
Handover is a key technology for guaranteeing seamless service connection and user experience in wireless communication. The performance of a handover depends to a large extent on whether the handover can be triggered accurately in time. LTE has more strict QoS (quality of service) guarantee requirements for the carried mobile services, and therefore has higher requirements for handover performance. The existing network switching method comprises the following modes:
1. same-frequency switching in the system: and switching the cells with the same priority and the same frequency by adopting an A3 strategy, namely, when the level of the adjacent cell is higher than that of the serving cell by a certain offset value (for example, the RSRP of the adjacent cell-the RSRP of the serving cell is more than 3 dBm), judging and switching to the adjacent cell by A3.
2. Inter-system pilot frequency handover: switching from a low-priority cell to a high-priority cell, adopting an A2+ A4 strategy, namely starting pilot frequency measurement when the level of a service cell is lower than an A2 threshold (such as ≤ 90 dBm), and judging to switch to a neighboring cell through A4 when the level of the neighboring cell is higher than the A4 threshold (such as ≥ 100 dBm) and the duration time reaches time delay; switching from the high priority cell to the low priority cell, adopting an A2+ A5 strategy, namely starting the pilot frequency measurement when the level of the service cell is lower than an A2 threshold (such as ≦ 90 dBm), when the level of the service cell is lower than an A5 threshold 1 (such as ≦ -105 dBm), the level of the adjacent cell is higher than an A5 threshold 2 (such as ≧ 100 dBm), and when the duration reaches the time lag, switching to the adjacent cell through A5 judgment.
3. Switching different systems: the 4G-2G employs an A2+ B2 strategy, i.e., when the serving cell level is below the A2 threshold (e.g., ≦ 100 dBm), the inter-system measurement is turned on, when the 4G serving cell level is below the B2 threshold 1 (e.g., ≦ -110 dBm), and the 2G cell signal level is above the B2 threshold 2 (e.g., ≧ 95 dBm), then a handover to 2G is initiated.
However, in the existing network handover methods, data services are all default bearers, the same handover scheme is adopted, actual Qos requirements of different data services on the network are not considered, differentiated services cannot be provided, and user experience is poor.
Disclosure of Invention
The embodiment of the invention provides a network switching method and a server, which are used for solving the problems that the actual Qos requirements of different data services on a network are not considered, differentiated services cannot be provided, and the user experience is poor in the prior art.
The embodiment of the invention adopts the following technical scheme:
in a first aspect, a network handover method is provided, where the method includes:
adjusting the service quality bearing type of the target service;
acquiring each influence factor index of the target service from an MR measurement data report of a target network area according to the service quality bearing type of the target service, wherein the influence factor index is used for representing the playing fluency of the target service in the target network area;
determining a reference switching threshold value of the target service according to an actually measured threshold value of each influence factor index of the target service, each influence factor index of the target service and a weight thereof, wherein the actually measured threshold value is a critical value of the influence factor index when the playing fluency of the target service changes;
determining a real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service acquired in real time;
and if the real-time switching threshold value is larger than the reference switching threshold value, executing network switching operation for switching from the target network area to the adjacent network area.
In a second aspect, a server is provided, the server comprising:
the adjusting module is used for adjusting the service quality bearing type of the target service;
an obtaining module, configured to obtain, according to a qos bearer type of the target service, each influence factor indicator of the target service from an MR measurement data report of a target network region, where the influence factor indicator is used to characterize a playing smoothness of the target service in the target network region;
the first determining module is used for determining a reference switching threshold value of the target service according to an actually measured threshold value of each influence factor index of the target service, each influence factor index of the target service and a weight of each influence factor index of the target service, wherein the actually measured threshold value is a critical value of the influence factor index when the playing fluency of the target service changes;
the second determining module is used for determining a real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service acquired in real time;
and the execution module is used for executing the network switching operation of switching from the target network area to the adjacent network area if the real-time switching threshold value is larger than the reference switching threshold value.
In a third aspect, a server is provided, including: a memory storing computer program instructions;
a processor, which when executed by said processor implements the network switching method as described above.
In a fourth aspect, a computer-readable storage medium is provided, which comprises instructions that, when executed on a computer, cause the computer to perform the network handover method as described above when executed.
The embodiment of the invention adopts at least one technical scheme which can achieve the following beneficial effects:
the network switching method provided by the embodiment of the invention obtains each influence factor index of the target service from an MR measurement data report of a target network region by adjusting the service quality bearing type of the target service according to the service quality bearing type, determines the reference switching threshold value of the target service according to the actual measurement threshold value, each influence factor index and the weight thereof of each influence factor index, determines the real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service obtained in real time, and executes the network switching operation of switching from the target network region to the adjacent network region if the real-time switching threshold value is greater than the reference switching threshold value, thereby adjusting the service quality bearing type of the service according to different services, meeting different requirements of different services on the service quality of the network, providing personalized services and improving user experience.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flow chart of a network handover method according to an embodiment of the present disclosure;
fig. 2 is one of schematic practical application scenarios of a network handover method according to an embodiment of the present disclosure;
fig. 3 is a second schematic view of a practical application scenario of the network handover method according to an embodiment of the present disclosure;
fig. 4 is a third schematic view of a practical application scenario of the network handover method according to an embodiment of the present disclosure;
FIG. 5 is a block diagram of one embodiment of a server;
fig. 6 is a second schematic diagram of a server structure provided in an embodiment of the present specification.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, the technical solutions of the present application will be clearly and completely described below with reference to the specific embodiments of the present specification and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art without making any creative effort based on the embodiments in the present specification belong to the protection scope of the present application.
Embodiments of the present invention provide a network switching method and a server, so as to solve the problems that in the prior art, actual Qos requirements of different data services on a network are not considered, differentiated services cannot be provided, and user experience is poor. Embodiments of the present invention provide a network switching method, where an execution subject of the method may be, but is not limited to, an application program, a server, or an apparatus or system capable of being configured to execute the method provided in the embodiments of the present invention.
For convenience of description, the following description will be made of an embodiment of the method, taking an execution subject of the method as a server capable of executing the method as an example. It is understood that the implementation of the method by the server is merely an exemplary illustration and should not be construed as a limitation of the method.
Fig. 1 is a flowchart of a network handover method according to an embodiment of the present invention, where the method in fig. 1 may be executed by a server, and as shown in fig. 1, the method may include:
step 101, adjusting the service quality bearer type of the target service.
LTE (Long Term Evolution) defines a series of bearer level quality of service Qos parameters to describe a traffic bearer.
Therefore, the QoS bearer type may include QCI (QoS Class Identifier), GBR (Guaranteed Bit Rate), MBR (Master Boot Record), and the like.
The QCI is used to measure the packet forwarding behavior (such as packet loss rate and packet delay budget) of a specific Service Data Flow (SDF). Meanwhile, the QCI is applied to GBR and Non-GBR bearers and is used to specify a control bearer level packet forwarding manner (such as scheduling weight, admission threshold, queue management threshold, link layer protocol configuration, and the like) defined in the access node, which are configured in advance by an operator to the access network node.
It can be known that QCI defines the requirements of throughput, delay and packet loss rate, as shown in table 1:
TABLE 1
QCI Of the broadband type Priority rating Time delay/ms Packet loss ratio (%)
1 GBR 2 100 10％
2 GBR 4 150 1％
3 GBR 3 50 1％
4 GBR 5 300 0.001％
5 non-GBR 1 100 0.001％
6 non-GBR 6 300 1％
7 non-GBR 7 100 0.001％
8 non-GBR 8 300 0.001％
9 non-GBR 9 300 0.001％
And 102, acquiring each influence factor index of the target service from an MR measurement data report of a target network area according to the service quality bearing type of the target service.
The influence factor is a factor influencing the degree of the target service playing process. The influencing factors of the target service may include a time delay and a packet loss rate of a target network region where the target service is located.
The influence factor index is used for representing the playing fluency of the target service in the target network area.
It should be understood that, according to the qos bearer type of the target service, each influencing factor of the target service is determined, and then each influencing factor indicator of the target service is obtained from an MR measurement data report of the target network region.
MR (Measurement Report) refers to that information is transmitted once every 480ms (470 ms on a signaling channel) on a traffic channel, and these data can be used for network evaluation and optimization.
The MR measurement data report comes from the physical layer and RLC layer of the client (User Experience, abbreviated as UX or UE) and enodeb (Evolved Node B, abbreviated as eNB/base station), and the measurement data report generated by calculation in the radio resource management process.
The MR measurement data report in the embodiment of the present invention relates to the following relevant fields, as shown in table 2:
TABLE 2
Figure BDA0002324742510000061
Figure BDA0002324742510000071
Step 103, determining a reference switching threshold value of the target service according to the actual measurement threshold value of each influencing factor index of the target service, each influencing factor index of the target service and the weight thereof.
And the actually measured threshold value is a threshold value of an influence factor index when the playing fluency of the target service changes. For example, when the playing fluency of the target service is poor, the target service has various influence factor indexes.
Each influencing factor of the target service comprises the time delay and the packet loss rate of a target network area where the target service is located; the actually measured threshold value of each influencing factor index of the target service comprises: the time delay is larger than a second threshold value and/or the packet loss rate is larger than a third threshold value. The second threshold and the third threshold may be set arbitrarily according to actual requirements, and embodiments of the present invention are not limited specifically.
In specific implementation, for example, taking the target service as the mobile game service, the second threshold is less than or equal to 120ms, and the third threshold is less than or equal to 5%. Preferably, the second threshold is equal to or less than 150ms.
The actual measurement threshold values of the various influencing factor indexes of the target service can be obtained by real-time measurement of a large number of measurement experiments when a worker starts the target service in a target communication area.
The step can be realized specifically by inputting the actual measurement threshold value of each influencing factor index of the target service, each influencing factor index of the target service and the weight thereof into the calculation model, and outputting the reference switching threshold value of the target service. Wherein the computational model may be a model that includes a specific algorithm.
And step 104, determining a real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service acquired in real time.
The weight of each influencing factor index of the target service obtained by real-time measurement in this step is consistent with the weight of each influencing factor index in step 103.
And 105, if the real-time switching threshold value is greater than the reference switching threshold value, performing network switching operation for switching from the target network area to an adjacent network area.
The network switching method provided by the embodiment of the invention obtains each influence factor index of the target service from an MR measurement data report of a target network region by adjusting the service quality bearing type of the target service according to the service quality bearing type, determines the reference switching threshold value of the target service according to the actual measurement threshold value, each influence factor index and the weight thereof of each influence factor index, determines the real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service obtained in real time, and executes the network switching operation of switching from the target network region to the adjacent network region if the real-time switching threshold value is greater than the reference switching threshold value, thereby adjusting the service quality bearing type of the service according to different services, meeting different requirements of different services on the service quality of the network, providing personalized services and improving user experience.
As an embodiment, the target service is a mobile game service, and step 101 may be specifically implemented as:
and adjusting the bearer of the hand-game service from the default bearer QCI9 to the special bearer QCI3.
In the embodiment of the invention, the hand-trip service is most sensitive to the end-to-end time delay of the bearer network, and the Qos parameter setting of the hand-trip service is changed to adjust from the default bearer QCI9 to the special bearer QCI3, so that personalized service is provided for different types of services, the playing fluency of the hand-trip service is ensured, service separation is realized, and the user experience is improved.
As an embodiment, before executing step 103, the network handover method provided in the embodiment of the present invention may further include:
and determining the weight of each influence factor index of the target service by adopting an entropy method.
According to the probability theory, the weight of each influence factor index is determined by adopting an entropy method, and the principle is as follows: when the difference between a certain influence factor index and the standard value is large, the entropy value is small, which shows that the effective information quantity provided by the influence factor index is large, the discrimination is high, so the weight setting is also large, the weight of each influence factor index is objectively quantized by adopting an 'entropy value method', and the judgment error caused by manually setting the factor weight is avoided.
Specifically, the calculation process by the entropy method is as follows:
for example, suppose m cells have n influencing factor indicators forming the indicator matrix D:
Figure BDA0002324742510000091
obtaining a matrix R through normalization processing:
Figure BDA0002324742510000092
the entropy value E of each column can be calculated j ：
Figure BDA0002324742510000093
The closer E is to 1, the more difficult the influence factor index is to be distinguished, and the corresponding distinguishing degree F j Comprises the following steps:
F j ＝1-E j
the weight W of each influencer indicator j Comprises the following steps:
Figure BDA0002324742510000094
as an embodiment, after step 101 is executed, the network handover method provided in the embodiment of the present invention may further include:
determining each influence factor of the target service according to the service quality bearing type of the target service;
determining the hierarchical relationship of each influence factor of the target service according to the attribute of each influence factor of the target service;
constructing a perception model of the target service according to the hierarchical relationship of all the influence factors of the target service, wherein the perception model comprises all the influence factors of the target service;
determining each influence factor of the target service according to the service quality bearing type of the target service; according to the attribute of each influencing factor, utilizing an Analytic Hierarchy Process (AHP for short) to decompose a plurality of factors related to perception of the target service into a plurality of layers from top to bottom according to different attributes, wherein the factors of the same layer belong to or influence the factors of the upper layer, and simultaneously dominate the factors of the next layer or are influenced by the factors of the lower layer so as to determine the hierarchical relationship of each influencing factor of the target service and construct a perception model of the target service.
For example, it is assumed that each influencing factor includes delay, coverage, quality, load, packet loss rate, uplink packet loss rate, downlink packet loss rate, and the like. Based on the attributes of the influencing factors, the hierarchical relationship of the influencing factors of the target service is obtained by using an AHP analytic hierarchy process, and a perception model of the target service is obtained, as shown in FIG. 2.
It should be added that after the perceptual model of the target service is established, the weight of each influencing factor in each layer and the weight of each layer can be determined by using an entropy method. The specific calculation method is detailed in the related contents of the above embodiments, and is not described herein again. And after calculating the weight of each layer, performing total hierarchical ranking on each layer, wherein the total hierarchical ranking refers to a process of determining the relative importance of all influencing factors of a certain layer to a total target.
By way of example, assume that as shown in figure 3,
m influencing factors C of C layer 1 ，c 2 ，……，c m Ordering the overall target o as a feature vector w = a 1 ，a 2 ，……，a m
P layer n influencing factors on upper layer c j Is ordered into a feature vector b 1j ，b 2j ，……，b nj (j＝1,2，……，m)
The total hierarchical ordering of the P layers is as follows: p 1 ：a 1 b 11 +a 2 b 12 +……a m b 1m
P 2 ：a 1 b 21 +a 2 b 22 +……a m b 2m
……
P n ：a 1 b n1 +a 2 b n2 +……a m b nm
That is, the weight of the total target o by the i influencing factors of the P layer is:
Figure BDA0002324742510000111
if expressed in tabular form, as shown in table 3;
TABLE 3
Figure BDA0002324742510000112
Step 102 may be specifically implemented as:
and acquiring each influence factor index of each influence factor of the target service in the perception model from an MR measurement data report of a target network area.
The embodiment of the invention realizes decision analysis by an AHP analytic hierarchy process, and determines each influence factor of the target service according to the service quality bearing type of the target service; determining the hierarchical relationship of each influence factor of the target service according to the attribute of each influence factor of the target service; and establishing a perception model of the target service according to the hierarchical relationship of the influence factors of the target service, and acquiring the influence factor indexes of the influence factors of the target service in the perception model from the MR measurement data report of the target network region, so as to establish a mapping relationship between the MR measurement data report and the perception model of the target service.
As an embodiment, step 104 may be specifically implemented as:
within a preset time period, if the frequency that the real-time switching threshold value is larger than the reference switching threshold value is determined to exceed a first threshold value, selecting a plurality of different-frequency network areas with different frequencies from the target network area from the adjacent network areas;
and switching the target network area to the pilot frequency network area with the maximum level value according to the ranking of the level values of the pilot frequency network areas.
Background: in the above embodiment of the invention, the MR measurement data report is that the eNB base station periodically notifies the UE of the MR measurement data through the measConfig cell carried in the rrcconnectionreconfiguration message; acquiring each influence factor index of the target service from the MR measurement data report according to the service quality bearing type of the target, and determining a reference switching threshold value of the target service according to the actual measurement threshold value of each influence factor index, each influence factor index and the weight thereof; and then determining that the playing fluency of the target service is poor in the target network communication area according to the fact that the real-time switching threshold value is larger than the reference switching threshold value, and executing network switching operation when the target service is stuck.
The technical solution provided by the embodiment of the present invention specifically implements the network switching operation when the target service is stuck: and in a preset time period, if the frequency of the real-time switching threshold value larger than the reference switching threshold value exceeds the threshold value, selecting a plurality of pilot frequency network areas with different frequencies from the target network area from the adjacent network areas, and switching the target network area to the pilot frequency network area with the maximum level value according to the ranking of the level values of the pilot frequency network areas.
For example, as shown in fig. 4, assuming that the preset time period is 5s and the first threshold is 3, the technical solution of the embodiment of the present invention specifically includes: as described above in step 401, after the MR measurement data report is periodically reported, step 402 determines whether the real-time handover threshold is greater than the reference handover threshold, if so, step 403 is executed; if not, go to step 401. Step 403, if the real-time switching threshold value is greater than the reference switching threshold value, the stuck counter +1; step 404, determining whether the number of times of calking is more than 3 within 5s, if yes, executing step 405; if not, executing step 401; step 405, if the number of times of mortgage is more than 3 within 5s, switching is triggered. And step 406, the eNB base station performs neighbor cell clipping according to the information of the neighboring network region reported by the MR measurement data, performs neighbor cell sorting according to the frequency priority and level value of the neighboring network region, and performs blind handover with the neighboring network region sorted in the front as a handover target.
Preferably, the specific implementation of the technical solution provided in the embodiment of the present invention for performing a network switching operation when a target service is stuck may be as follows: and in a preset time period, if the times that the real-time switching threshold value is larger than the reference switching threshold value are continuously determined to exceed the threshold value, selecting a plurality of pilot frequency network areas with different frequencies from the target network area from the adjacent network areas, and switching the target network area to the pilot frequency network area with the maximum level value according to the sequence of the level values of the pilot frequency network areas.
The network switching method according to the embodiment of the present invention is described in detail above with reference to fig. 1 to 4, and the server according to the embodiment of the present invention is described in detail below with reference to fig. 5.
Fig. 5 is a schematic structural diagram of a server provided in an embodiment of the present specification, and as shown in fig. 5, the server may include:
an adjusting module 501, configured to adjust a qos bearer type of a target service;
an obtaining module 502, configured to obtain, according to a quality of service bearer type of the target service, each influence factor index of the target service from an MR measurement data report of a target network area, where the influence factor index is used to represent a smoothness of playing of the target service in the target network area;
a first determining module 503, configured to determine a reference switching threshold of the target service according to an actual measurement threshold of each influencing factor indicator of the target service, each influencing factor indicator of the target service and a weight of each influencing factor indicator of the target service, where the actual measurement threshold is a critical value of the influencing factor indicator when a fluency degree of playing of the target service changes;
a second determining module 504, configured to determine a real-time switching threshold value of the target service according to each influence factor indicator of the target service acquired in real time and a weight thereof;
an executing module 505, configured to execute a network handover operation for performing a handover from the target network area to an adjacent network area if the real-time handover threshold is greater than the reference handover threshold.
In an embodiment, the target service is a mobile game service, and the adjusting module 501 includes:
and the adjusting unit is used for adjusting the bearer of the hand-game service from the default bearer QCI9 to the special bearer QCI3.
In an embodiment, the server further comprises:
a third determining module 506, configured to determine the weight of each impact factor indicator of the target service by using an entropy method.
In one embodiment, the execution module 505 comprises:
a selecting unit, configured to select, within a preset time period, a plurality of pilot frequency network areas having different frequencies from the target network area from neighboring network areas if it is determined that the number of times that the real-time handover threshold is greater than the reference handover threshold exceeds a first threshold;
and the switching unit is used for switching the target network area to the pilot frequency network area with the maximum level value according to the ranking of the level values of the pilot frequency network areas.
In an embodiment, the server further comprises:
a fourth determining module 507, configured to determine, according to the qos bearer type of the target service, each influencing factor of the target service;
a fifth determining module 508, configured to determine, according to the attribute of each influencing factor of the target service, a hierarchical relationship between each influencing factor of the target service;
a building module 509, configured to build a perceptual model of the target service according to a hierarchical relationship between the influencing factors of the target service, where the perceptual model includes the influencing factors of the target service;
the obtaining module 502 includes:
an obtaining unit, configured to obtain, from an MR measurement data report of a target network region, each influence factor indicator of each influence factor of the target service included in the perceptual model.
In an embodiment, each influencing factor of the target service includes a time delay and a packet loss rate of a target network area where the target service is located;
the actually measured threshold value of each influencing factor index of the target service comprises: the time delay is larger than a second threshold value and/or the packet loss rate is larger than a third threshold value.
In an embodiment, the second threshold is equal to or less than 120ms, and the third threshold is equal to or less than 5%.
The embodiment of the invention obtains each influence factor index of the target service from the MR measurement data report of the target network area by adjusting the service quality bearing type of the target service according to the service quality bearing type, determines the reference switching threshold value of the target service according to the actual measurement threshold value, each influence factor index and the weight thereof of each influence factor index, determines the real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service obtained in real time, and executes the network switching operation of switching from the target network area to the adjacent network area if the real-time switching threshold value is greater than the reference switching threshold value, thereby adjusting the service quality bearing type of the service according to different services, meeting different requirements of different services on the service quality of the network, providing personalized service and improving the user experience.
A server according to an embodiment of the present invention will be described in detail below with reference to fig. 6. Referring to fig. 6, at the hardware level, the server includes a processor, optionally an internal bus, a network interface, and a memory. As shown in fig. 6, the Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the server may also include the hardware needed to implement other services.
The processor, the network interface, and the memory may be interconnected by an internal bus, which may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 6, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.
The processor reads the corresponding computer program from the nonvolatile memory to the memory and then runs the computer program to form the association device of the resource value-added object and the resource object on the logic level. The processor executes the program stored in the memory and is specifically configured to perform the operations of the method embodiments described herein.
The method disclosed in the embodiments of fig. 1 to 4 and the method executed by the server may be applied to a processor, or may be implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or by instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
The server shown in fig. 6 may also execute the methods shown in fig. 1 to fig. 4, and implement the functions of the network switching method in the embodiments shown in fig. 1 to fig. 4, which are not described herein again in the embodiments of the present invention.
Of course, besides the software implementation, the server of the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution main body of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the processes of the method embodiments, and can achieve the same technical effects, and in order to avoid repetition, the details are not repeated here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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, embedded processor, 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (9)

1. A method for network handover, comprising:
adjusting the service quality bearing type of the target service;
acquiring each influence factor index of the target service from an MR measurement data report of a target network area according to the service quality bearing type of the target service, wherein the influence factor index is used for representing the playing fluency of the target service in the target network area;
determining a reference switching threshold value of the target service according to an actually measured threshold value of each influence factor index of the target service, each influence factor index of the target service and a weight thereof, wherein the actually measured threshold value is a critical value of the influence factor index when the playing fluency of the target service changes;
determining a real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service acquired in real time;
if the real-time switching threshold value is larger than the reference switching threshold value, network switching operation for switching from the target network area to the adjacent network area is executed;
after adjusting the qos bearer type of the target service, the method includes:
determining each influence factor of the target service according to the service quality bearing type of the target service;
determining the hierarchical relationship of each influence factor of the target service according to the attribute of each influence factor of the target service;
constructing a perception model of the target service according to the hierarchical relation of all the influence factors of the target service, wherein the perception model comprises all the influence factors of the target service;
acquiring each influence factor index of the target service from an MR measurement data report of a target network area, wherein the influence factor index comprises the following steps:
and acquiring each influence factor index of each influence factor of the target service in the perception model from an MR measurement data report of a target network area.
2. The method of claim 1, wherein the target service is a hand-trip service, and wherein the adjusting the qos bearer type of the target service comprises:
and adjusting the bearer of the hand-trip service from the default bearer QCI9 to the special bearer QCI3.
3. The method of claim 1, wherein before determining the reference handover threshold value of the target service according to the measured threshold value of the impact factor indicator of the target service, the impact factor indicator of the target service and the weight thereof, further comprising:
and determining the weight of each influence factor index of the target service by adopting an entropy method.
4. The method of claim 1, wherein performing a network handover operation from the target network region to a neighboring network region if the real-time handover threshold is greater than the reference handover threshold comprises:
within a preset time period, if the frequency that the real-time switching threshold value is larger than the reference switching threshold value is determined to exceed a first threshold value, selecting a plurality of different-frequency network areas with different frequencies from the target network area from the adjacent network areas;
and switching the target network area to the pilot frequency network area with the maximum level value according to the ranking of the level values of the pilot frequency network areas.
5. The method of claim 1, wherein each influencing factor of the target service includes a delay and a packet loss rate of a target network area where the target service is located;
the actually measured threshold value of each influence factor index of the target service comprises: the time delay is larger than a second threshold value and/or the packet loss rate is larger than a third threshold value.
6. The method of claim 5, wherein the second threshold is less than or equal to 120ms and the third threshold is less than or equal to 5%.
7. A server, comprising:
the adjusting module is used for adjusting the service quality bearing type of the target service;
an obtaining module, configured to obtain, according to a qos bearer type of the target service, each influence factor indicator of the target service from an MR measurement data report of a target network region, where the influence factor indicator is used to characterize a playing smoothness of the target service in the target network region;
the first determining module is used for determining a reference switching threshold value of the target service according to an actually measured threshold value of each influence factor index of the target service, each influence factor index of the target service and a weight of each influence factor index of the target service, wherein the actually measured threshold value is a critical value of the influence factor index when the playing fluency of the target service changes;
the second determining module is used for determining a real-time switching threshold value of the target service according to each influence factor index and the weight thereof of the target service acquired in real time;
an execution module, configured to execute a network handover operation for performing a handover from the target network region to an adjacent network region if the real-time handover threshold is greater than the reference handover threshold;
the server further comprises:
a fourth determining module, configured to determine each influencing factor of the target service according to a quality of service bearer type of the target service;
a fifth determining module, configured to determine, according to attributes of the impact factors of the target service, a hierarchical relationship between the impact factors of the target service;
the building module is used for building a perception model of the target service according to the hierarchical relation of all the influence factors of the target service, and the perception model comprises all the influence factors of the target service;
the acquisition module comprises:
an obtaining unit, configured to obtain, from an MR measurement data report of a target network region, each influence factor indicator of each influence factor of the target service included in the perceptual model.
8. A server, comprising:
a memory storing computer program instructions;
processor for implementing the network handover method according to any of claims 1 to 6 when said computer program is executed by said processor.
9. A computer-readable storage medium, characterized in that,
the computer-readable storage medium comprising instructions which, when executed on a computer, cause the computer to carry out the network handover method according to any one of claims 1 to 6 when executed.
CN201911311834.3A 2019-12-18 2019-12-18 Network switching method and server Active CN112996063B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911311834.3A CN112996063B (en) 2019-12-18 2019-12-18 Network switching method and server

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911311834.3A CN112996063B (en) 2019-12-18 2019-12-18 Network switching method and server

Publications (2)

Publication Number Publication Date
CN112996063A CN112996063A (en) 2021-06-18
CN112996063B true CN112996063B (en) 2023-04-07

Family

ID=76343994

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911311834.3A Active CN112996063B (en) 2019-12-18 2019-12-18 Network switching method and server

Country Status (1)

Country Link
CN (1) CN112996063B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113938920B (en) * 2021-09-06 2023-08-22 中国联合网络通信集团有限公司 Method and device for predicting heavy tillage influence

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101516115A (en) * 2008-12-23 2009-08-26 同济大学 Method for carrying out adaptive optimization switching on group services based on demand prediction and priority
CN102497659A (en) * 2011-12-05 2012-06-13 中国电信股份有限公司 Method and system for network selection under dual-network coverage, and dual-mode terminal
CN107071841A (en) * 2017-03-02 2017-08-18 重庆邮电大学 The vertical handoff method optimized in heterogeneous network based on changeable weight
CN107979858A (en) * 2017-12-07 2018-05-01 北京小米移动软件有限公司 Data path switching method, device, terminal and computer-readable recording medium
CN108235344A (en) * 2016-12-22 2018-06-29 中国移动通信集团上海有限公司 The configuration method and device of a kind of adjacent area suitable for eSRVCC switchings
CN108259188A (en) * 2016-12-29 2018-07-06 中国移动通信集团浙江有限公司 Data service ensures processing method, device and server
CN108901052A (en) * 2018-08-10 2018-11-27 北京邮电大学 A kind of switching method and device of heterogeneous network

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108476455A (en) * 2016-08-10 2018-08-31 华为技术有限公司 A kind of method for automatically selecting and switching, wireless access point and the system of channel

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101516115A (en) * 2008-12-23 2009-08-26 同济大学 Method for carrying out adaptive optimization switching on group services based on demand prediction and priority
CN102497659A (en) * 2011-12-05 2012-06-13 中国电信股份有限公司 Method and system for network selection under dual-network coverage, and dual-mode terminal
CN108235344A (en) * 2016-12-22 2018-06-29 中国移动通信集团上海有限公司 The configuration method and device of a kind of adjacent area suitable for eSRVCC switchings
CN108259188A (en) * 2016-12-29 2018-07-06 中国移动通信集团浙江有限公司 Data service ensures processing method, device and server
CN107071841A (en) * 2017-03-02 2017-08-18 重庆邮电大学 The vertical handoff method optimized in heterogeneous network based on changeable weight
CN107979858A (en) * 2017-12-07 2018-05-01 北京小米移动软件有限公司 Data path switching method, device, terminal and computer-readable recording medium
CN108901052A (en) * 2018-08-10 2018-11-27 北京邮电大学 A kind of switching method and device of heterogeneous network

Also Published As

Publication number Publication date
CN112996063A (en) 2021-06-18

Similar Documents

Publication Publication Date Title
CN109195170B (en) Cell capacity expansion method and device and storage medium
US11778544B2 (en) Slice information processing method and apparatus
EP3849236B1 (en) Communication method and related device
US9693200B2 (en) Method and system of providing data service according to a user's future location
CN111614563A (en) User plane path selection method and device
EP4075752A1 (en) Intelligent capacity planning and optimization
CN111328084B (en) Method and device for evaluating cell capacity
US10194338B2 (en) Network optimization method and apparatus, and base station
JP2019062510A (en) Management device, control method therefor, and program
US20210274359A1 (en) Capacity planning method and apparatus
WO2018126989A1 (en) Network acquisition method and apparatus
CN113645696A (en) Network resource pre-allocation method, device, system and medium
CN112996063B (en) Network switching method and server
RU2553075C2 (en) Network object and method for rendering service for user objects in communication network
CN105050121A (en) Sector optimizing method and device
CN109640356B (en) Congestion control method and device and access network equipment
WO2020215282A1 (en) Method and apparatus for evaluate data traffic depressed by radio issues
CN106686668B (en) method and device for selecting voice fallback cell
CN108271184A (en) VoLTE method for processing business and device
CN108243449B (en) User terminal grouping scheduling method and device
CN110708665B (en) Method and device for determining home area of access network equipment
CN112085282A (en) Cell flow prediction method and server
US20230413063A1 (en) Obtaining Samples for Learning-Based Resource Management by Adjusting Flow Characteristics
US20240250763A1 (en) Interference identification in a ran
WO2024164838A1 (en) Method and apparatus for determining uplink rate, electronic device, and storage medium

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