CN111356247A - Method, device, server and storage medium for selecting slave station through double connection - Google Patents
Method, device, server and storage medium for selecting slave station through double connection Download PDFInfo
- Publication number
- CN111356247A CN111356247A CN202010123420.4A CN202010123420A CN111356247A CN 111356247 A CN111356247 A CN 111356247A CN 202010123420 A CN202010123420 A CN 202010123420A CN 111356247 A CN111356247 A CN 111356247A
- Authority
- CN
- China
- Prior art keywords
- score
- weight
- slave station
- station
- signal quality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 47
- 238000011156 evaluation Methods 0.000 claims abstract description 33
- 238000004891 communication Methods 0.000 claims abstract description 17
- 230000009977 dual effect Effects 0.000 claims description 35
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 7
- 238000010586 diagram Methods 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 102100035409 Dehydrodolichyl diphosphate synthase complex subunit NUS1 Human genes 0.000 description 2
- 101100240466 Homo sapiens NUS1 gene Proteins 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012804 iterative process Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000035755 proliferation Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
- H04W76/15—Setup of multiple wireless link connections
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/142—Network analysis or design using statistical or mathematical methods
-
- 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
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Strategic Management (AREA)
- Computer Networks & Wireless Communication (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Signal Processing (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- General Business, Economics & Management (AREA)
- Pure & Applied Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Probability & Statistics with Applications (AREA)
- Mathematical Physics (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Algebra (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a method for selecting a slave station by double connection, which comprises the following steps: acquiring configuration information of a slave station and a service type of an access terminal; inputting the configuration information and the service type into a trained slave station selection model to obtain an evaluation index of the slave station; selecting the slave station with the highest evaluation index as a target slave station; the invention also discloses a device for selecting the slave station by double connection, a server and a storage medium. By using a preset slave station selection model, the optimal selection of the slave station in the dual-connection is realized, and the communication quality of the access terminal is ensured.
Description
Technical Field
The embodiment of the invention relates to the technical field of 5G communication, in particular to a method, a device, a server and a storage medium for selecting a slave station through dual connection.
Background
Due to the shortage of frequency spectrum resources and the proliferation of large-flow services for mobile users, the need for hot spot coverage by using high frequency points such as 3.5GHz is increasingly obvious. The signal attenuation of high frequency point is more serious, the coverage area of the Cell is smaller, and the base station adopting the low-power Small Cell (Small Cell) becomes a new application scene. In order to enhance the mobility performance of Small Cell deployment networks and increase user throughput, a connection scheme called Dual Connectivity (DC) is introduced. Under dual connectivity, a mobile terminal may simultaneously maintain connectivity with two base stations, one of which is called a master station (MeNB) and the other of which is called a slave station (SeNB). The main station is responsible for controlling the double connection under the double connection. The selection of a secondary station directly affects the effectiveness of the communication.
The method for selecting the slave station in the prior art is as follows: the primary station transmits a request message to the secondary station to request the secondary station to become a secondary base station of the primary station, and receives an acknowledgement message from the secondary station through the primary station to confirm agreement to become a secondary base station, thereby implementing dual connectivity. The method has randomness to the selection of the slave station, the slave station which can not be accessed is the optimal slave station, and the communication quality is easily influenced.
Disclosure of Invention
The invention provides a method, a device, a server and a storage medium for selecting a slave station by double connection.
In a first aspect, an embodiment of the present invention provides a method for selecting a slave station through dual connectivity, which is applied to a dual-connectivity master station, and includes:
acquiring configuration information of a slave station and a service type of an access terminal;
inputting the configuration information and the service type into a trained slave station selection model to obtain an evaluation index of the slave station;
selecting the slave station with the highest evaluation index as a target slave station;
and establishing the connection between the target slave station and the access terminal.
Further, the configuration information includes a station type, an idle signal quality, a basic signal quality, an actually measured signal quality, a load margin proportion and a power margin proportion of the secondary station; the inputting the configuration information and the service type into a trained slave station selection model to obtain an evaluation index of the slave station includes:
distributing a first weight to the service type, and determining a first score;
and/or assigning a second weight to the station type to determine a second score;
and/or assigning a third weight to the signal quality, determining a third score;
and/or distributing a fourth weight to the load margin proportion to determine a fourth score;
and/or distributing a fifth weight to the power margin proportion to determine a fifth score;
and summing one or more of the first score, the second score, the third score, the fourth score and the fifth score to obtain the evaluation index of the slave station.
Further, the determining a first score, the determining a second score, the determining a third score, the determining a fourth score, the determining a fifth score, comprises:
assigning a first secondary weight based on the specific category of the traffic type;
the first score is a product of the first weight and the first secondary weight;
assigning a second secondary weight based on the particular category of the site type;
a second score is a product of the second weight and the second secondary weight;
a third score is the product of the difference between the measured signal quality and the base signal quality divided by the difference between the empty-load signal quality and the base signal quality multiplied by the third weight;
a fourth score is a product of the fourth weight and the load margin ratio;
a fifth score is a product of the fifth weight and the power headroom ratio.
Further, after the slave station with the highest selection evaluation index establishes connection with an access terminal, the method further includes:
acquiring one or more combinations of access success rate, handover success rate and call drop rate of the communication between the access terminal and the slave station;
adjusting one or more combinations of a first weight, a second weight, a third weight, a fourth weight and a fifth weight of the slave station selection model until one or more combinations of the access terminal and the slave station with the maximum access success rate, the maximum handover success rate and the minimum call drop rate are obtained;
determining one or more combinations of the first, second, third, fourth and fifth weights as default parameters of the secondary station selection model.
In a second aspect, an embodiment of the present invention further provides an apparatus for selecting a slave station through dual connection, where the apparatus is applied to a master station through dual connection, and includes:
the first acquisition module is used for acquiring the configuration information of the slave station and the service type of the access terminal;
the calculation module is used for inputting the configuration information and the service type into a trained slave station selection model to obtain an evaluation index of the slave station;
the access module is used for selecting the slave station with the highest evaluation index to be determined as the target slave station; and establishing the connection between the target slave station and the access terminal.
Further, the calculation module includes:
a first unit, configured to assign a first weight to the service type, and determine a first score;
and/or a second unit, configured to assign a second weight to the station type, and determine a second score;
and/or a third unit for assigning a third weight to the signal quality, determining a third score;
and/or a fourth unit, configured to assign a fourth weight to the load margin proportion, and determine a fourth score;
and/or a fifth unit, configured to assign a fifth weight to the power headroom ratio, and determine a fifth score;
and the summing unit is used for summing one or more of the first score, the second score, the third score, the fourth score and the fifth score to obtain the evaluation index of the slave station.
In a third aspect, an embodiment of the present invention further provides a server, including a memory and a processor, where the memory stores a computer program executable by the processor, and the processor executes the computer program to implement the method for selecting a secondary station by dual connectivity as described in any one of the above.
In a fourth aspect, the present invention also provides a computer-readable storage medium, which stores a computer program, where the computer program includes program instructions, and the program instructions, when executed, implement the method for selecting a secondary station by dual connectivity as described in any one of the above.
The invention carries out calculation by bringing the configuration information of the slave station and the service type of the access terminal into the preset model, obtains the slave station with the optimal index and ensures the communication quality of the access terminal.
Drawings
Fig. 1 is a flow chart of a method for selecting a secondary station with dual connectivity in one embodiment of the invention.
Fig. 2 is a flow chart of a method for selecting a secondary station by dual connectivity in another embodiment of the present invention.
Fig. 3 is a flow chart of a method for selecting a secondary station by dual connectivity in another embodiment of the invention.
Fig. 4 is a block diagram of an apparatus for a dual connection selection slave in an embodiment of the present invention.
Fig. 5 is a block diagram of an apparatus of a dual connection selection slave station in another embodiment of the present invention.
Fig. 6 is a schematic structural diagram of a server in one embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, a first acquisition module may be referred to as a first acquisition module and, similarly, a second acquisition module may be referred to as a first acquisition module without departing from the scope of the present application. The first acquisition module and the second acquisition module are both acquisition modules, but they are not the same module. The terms "first", "second", etc. are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In one embodiment, fig. 1 is a flow chart of a method for selecting a secondary station with dual connectivity. The dual connection refers to a communication mode in which an access terminal is simultaneously connected with two base stations under the dual connection, wherein one base station is called a master station, the other base station is called a slave station, the master station under the dual connection is responsible for controlling the dual connection, and the selection of the slave station directly influences the communication effect. The method provided in this embodiment is a method for selecting a slave station after the master station and the access terminal confirm. The method can be executed by a primary station with dual connection, optionally, also can be executed by a server, and specifically includes the following steps:
s101, obtaining configuration information of a slave station and a service type of an access terminal.
The configuration information of the slave station in this step includes, but is not limited to, the station type, the idle signal quality, the basic signal quality, the measured signal quality, the load margin ratio and/or the power margin ratio of the slave station, and may further include other configuration information such as the distance between the access terminal and the slave station, and at the same time, the configuration information of the slave station is acquired, and information of the access terminal accessing the dual connection, such as the service type, the distance between the access terminal and the slave station, and the like, may also be acquired.
And S102, inputting the configuration information and the service type into the trained slave station selection model to obtain the evaluation index of the slave station.
And S103, selecting the slave station with the highest evaluation index as the target slave station.
And S104, establishing the connection between the target slave station and the access terminal.
In the embodiment, the preset slave station selection model is used, so that the optimal selection of the slave station in the dual-connection is realized, and the communication quality of the access terminal is ensured.
In another embodiment, as shown in fig. 2, the present embodiment adds a calculation process for a slave station selection model on the basis of the above embodiment, and the present embodiment is executed by the master station with dual connections or by the server, specifically as follows:
s201, obtaining the configuration information of the slave station and the service type of the access terminal.
In this step, the configuration information of the secondary station includes, but is not limited to, configuration information of the secondary station including, but not limited to, a station type, an empty signal quality, a basic signal quality, a measured signal quality, a load margin ratio, and/or a power margin ratio of the secondary station, and may further include other configuration information such as a distance between the access terminal and the secondary station, and meanwhile, while acquiring the configuration information of the secondary station, information of an access terminal accessing the dual connectivity, such as a service type, a distance between the access terminal and the secondary station, and the like, may also be acquired.
Optionally, this step may be followed by: and judging whether the basic quality signal reaches a preset threshold value, if so, retaining the configuration information of the slave station for the next calculation, and if not, deleting the configuration information of the slave station.
S2021, distributing a first weight to the service type, and determining a first score;
and/or assigning a second weight to the station type, and determining a second score;
and/or assigning a third weight to the signal quality, determining a third score;
and/or distributing a fourth weight to the load margin proportion to determine a fourth score;
and/or assigning a fifth weight to the power headroom ratio to determine a fifth score.
In this step, the score is determined by a preset algorithm, and optionally, the step of determining the first score includes:
assigning a first secondary weight based on a specific category of the traffic type;
the first score is a product of the first weight and the first secondary weight.
In the slave station selection model, different weights are distributed according to different importance of base station configuration information and the service type of an access terminal, wherein each type of configuration information and the service type of the access terminal are classified in a first class, and a secondary class can be added to type information such as the service type, the base station type and the like. Optionally, the secondary classification may be nested in multiple layers to make the calculation more accurate, based on differences in the accuracy requirements of the secondary station selection model.
Specifically, taking the first score as an example, the second-level classification under the traffic type of the access terminal may include GBR traffic and NGBR traffic, for example, a lower first-level weight may be configured for a GBR traffic class with a lower rate, and a higher first-level weight may be allocated for an NGBR traffic class with a higher rate.
It should be noted that, in the technical solution of the present invention, the sum of the weights of the first-level classifications is 1, and exemplarily, when there are five first-level classifications, the sum of the first weight, the second weight, the third weight, the fourth weight, and the fifth weight is 1. The factors of the secondary classification are not mutually exclusive, so the sum of the secondary weights may not equal 1.
Optionally, the service types of the access terminals may also be classified according to CSIB, such as voice, real-time streaming, interactive, background, and so on.
The step of determining a second score comprises:
assigning a second secondary weight based on the specific category of the site type;
the second score is a product of the second weight and the second secondary weight.
The secondary station model is assigned with a second weight of 0.2, and the secondary classification [ Macro Pico/Micor Femeto ] can be set to [ 0.70.80.9 ] so that the second score is 0.2 × 0.2.2-0.04 when the secondary station model is a Macro station.
The calculation formulas of the third score, the fourth score and the fifth score are respectively as follows:
the third score is the product of the difference between the measured signal quality and the basic signal quality divided by the difference between the no-load signal quality and the basic signal quality and multiplied by a third weight;
the fourth score is a product of the fourth weight and the proportion of the load margin;
the fifth score is a product of the fifth weight and the power headroom ratio.
The third score, the fourth score and the fifth score do not need secondary classification and can be directly calculated based on the above-mentioned formula.
Alternatively, the calculation of S2021 may be performed in a matrix manner, specifically, since the master station selects N slave stations to perform calculation when establishing the connection, when not acquiring the service type of the access terminal, the calculation process may be:
taking N slave stations as rows of a matrix A, and taking configuration information of each slave station as columns of the matrix A; multiplying the matrix A by a preset weight vector X corresponding to the configuration information to obtain a vector b; and taking the slave station corresponding to the maximum value of the vector b as the slave station with the optimal evaluation index.
And S2022, summing one or more of the first score, the second score, the third score, the fourth score and the fifth score to obtain the evaluation index of the slave station.
In this step, for example, if the first score is 0.21, the second score is 0.04, the third score is 0.25, the fourth score is 0.09, and the fifth score is 0.72, the evaluation index of the final slave station is 0.21+0.04+0.25+0.09+0.72 — 0.86.
And S203, selecting the slave station with the highest evaluation index as the target slave station.
And S204, establishing the connection between the target slave station and the access terminal.
When selecting a slave station, the master station acquires all slave stations connectable to the access terminal, acquires configuration information of the slave stations and/or a service type of the access terminal, performs the calculation in the above steps S2021 and S2022, obtains evaluation indexes of a plurality of slave stations, sorts the evaluation indexes, establishes a connection between the slave station having the highest score and the access terminal, and simultaneously establishes a connection between the slave station and the master station to form a dual connection for communication.
In the embodiment, the weight is pre-assigned to each factor in the model, so that the configuration information of the slave station is scored based on the preset importance, the configuration information is fully utilized, and the judgment accuracy is improved.
In another embodiment, as shown in fig. 3, the present embodiment adds an iterative process of selecting a model from the secondary station to the above embodiment, where the weights of the model selected from the secondary station are preset, and the preset weights and the secondary weights may not be optimal in the early stage, so that the weights need to be optimized according to the communication effect of the secondary station determined by the initial weights. The method comprises the following specific steps:
s301, obtaining the configuration information of the slave station and the service type of the access terminal.
S3021, distributing a first weight to the service type, and determining a first score;
and/or assigning a second weight to the station type, and determining a second score;
and/or assigning a third weight to the signal quality, determining a third score;
and/or distributing a fourth weight to the load margin proportion to determine a fourth score;
and/or assigning a fifth weight to the power headroom ratio to determine a fifth score.
And S3022, summing one or more of the first score, the second score, the third score, the fourth score and the fifth score to obtain the evaluation index of the slave station.
And S303, selecting the slave station with the highest evaluation index as the target slave station.
S304, establishing the connection between the target slave station and the access terminal.
S305, acquiring one or more combinations of access success rate, handover success rate and call drop rate of the communication between the access terminal and the slave station.
S306, one or more combinations of the first weight, the second weight, the third weight, the fourth weight and the fifth weight of the slave station selection model are adjusted until one or more combinations of the access terminal and the slave station with the maximum access success rate, the maximum handover success rate and the minimum call drop rate are obtained.
And S307, determining one or more combinations of the first weight, the second weight, the third weight, the fourth weight and the fifth weight as default parameters of the slave station selection model.
In the above steps S305-S307, after the slave station selected by the slave station selection model establishes connection with the access terminal, communication quality information of the access terminal and the slave station is obtained, including but not limited to one or more combinations of access success rate, handover success rate and call drop rate.
Since there are many access terminals establishing dual connection with the master station for a period of time, there are also multiple sets of one or more combinations of the obtained access success rate, handover success rate and call drop rate. The adjustment and iteration process in step S306 may be performed for one of the access terminals, or for a plurality of access terminals within a preset range. For example, the preset range may be 200 meters dense in urban areas and 1km suburban areas, and then one or more combinations of the obtained access success rate, handover success rate and call drop rate refer to statistical data for all access terminals in the above range.
The weight adjustment process of step S306 uses a machine learning method, optionally, a neural network or a markov chain, to obtain a maximum access success rate, a maximum handover success rate, and/or a minimum drop call rate by continuously iteratively adjusting the weight values.
In step S307, to ensure that the weight is the optimal and most stable value, the access success rate, the handover success rate and/or the call drop rate may be continuously evaluated within a preset time period, and it is determined whether the evaluation index is stably maintained at the optimal value or the variance is always maintained within a set range, if so, the weight at this time is set as the default parameter of the slave station selection model.
In the embodiment, the weight in the model is optimized, so that the slave station selection model can be continuously and iteratively optimized according to the actual communication effect, the weight information can be more accurately determined, the selection of the optimal slave station is continuously adjusted to obtain a more optimized result, and the use experience of a user is improved.
Another embodiment provides a device 4 for selecting a secondary station with dual connections, which specifically includes the following modules:
a first obtaining module 401, configured to obtain configuration information of a slave station and a service type of an access terminal;
a calculating module 402, configured to input the configuration information and the service type into the trained slave station selection model to obtain an evaluation index of the slave station;
an access module 403, configured to select a slave station with the highest evaluation index to determine as a target slave station; and establishing the connection between the target slave station and the access terminal.
As shown in fig. 5, in an alternative embodiment, the calculation module 402 further includes:
a first unit 4021, configured to assign a first weight to a service type of an access terminal, and determine a first score; the unit is also used for distributing a first secondary weight based on the specific category of the service type; the first score is a product of the first weight and the first secondary weight.
And/or a second unit 4022 for assigning a second weight to the station type, determining a second score; the unit is also used for distributing a second secondary weight based on the specific category of the station type; the second score is a product of the second weight and the second secondary weight.
And/or a third unit 4023, configured to assign a third weight to the signal quality, and determine a third score; the third score is the product of the difference between the measured signal quality and the basic signal quality divided by the difference between the no-load signal quality and the basic signal quality and multiplied by a third weight; .
And/or a fourth unit 4024, configured to assign a fourth weight to the load margin proportion, and determine a fourth score; the fourth score is a product of the fourth weight and the load margin ratio.
And/or a fifth unit 4025, configured to assign a fifth weight to the power headroom ratio, and determine a fifth score; the calculation process is a fifth score which is a product of the fifth weight and the power headroom ratio.
The summing unit 4026 is configured to sum one or more of the first score, the second score, the third score, the fourth score, and the fifth score to obtain an evaluation index of the slave station.
A second obtaining module 404, configured to obtain one or more combinations of an access success rate, a handover success rate, and a dropped call rate of communication between the access terminal and the secondary station.
An adjusting module 405, configured to adjust one or more combinations of the first weight, the second weight, the third weight, the fourth weight, and the fifth weight of the secondary station selection model until one or more combinations of the access success rate of the access terminal and the secondary station is the maximum, the handover success rate is the maximum, and the call drop rate is the minimum.
A setting module 406, configured to determine one or more combinations of the first weight, the second weight, the third weight, the fourth weight and the fifth weight as default parameters of the secondary station selection model.
The device for selecting the slave station through double connection provided by the embodiment of the invention can execute the method for selecting the slave station through double connection provided by any embodiment of the invention, and has corresponding execution methods and beneficial effects of functional modules.
Fig. 6 is a schematic structural diagram of a server according to another embodiment of the present invention, as shown in fig. 6, the apparatus includes a processor 501, a memory 502, an input device 503, and an output device 504; the number of the processors 501 in the device may be one or more, and fig. 6 takes one processor 501 as an example; the processor 501, the memory 502, the input device 503 and the output device 504 of the apparatus may be connected by a bus or other means, for example, in fig. 6.
The memory 502 is used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as modules corresponding to the method for selecting a secondary station by dual connectivity in the foregoing embodiments of the present invention (for example, the first obtaining module 401, the calculating module 402, and the like in the foregoing embodiments). The processor 501 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 502, namely, the method for selecting a secondary station by dual connection is realized.
The memory 502 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 502 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 502 may further include memory located remotely from processor 501, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
In another embodiment, as shown in figure 6, there is provided a storage medium containing computer executable instructions which when executed by a computer processor are for performing a method of dual connectivity selection of secondary stations, the method comprising:
acquiring configuration information of a slave station, wherein the configuration information comprises a station type, no-load signal quality, basic signal quality, actually-measured signal quality, load margin proportion and/or power margin proportion of the slave station and/or an acquired service type of an access terminal;
inputting the service type of the access terminal and/or the configuration information of the slave station into a preset slave station selection model to obtain the evaluation index of the slave station;
and selecting the slave station with the highest evaluation index to establish connection with the access terminal.
Of course, the storage medium containing computer-executable instructions provided by the embodiments of the present invention is not limited to the method operations described above, and may also perform operations related to the method for selecting a secondary station by dual connectivity provided by any embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-only memory (ROM), a Random Access Memory (RAM), a FLASH memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the search apparatus, the included modules are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, the specific names of the functional modules are only for convenience of distinguishing from each other and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A method of dual connectivity selection of a secondary station, the method comprising:
acquiring configuration information of a slave station and a service type of an access terminal;
inputting the configuration information and the service type into a trained slave station selection model to obtain an evaluation index of the slave station;
selecting the slave station with the highest evaluation index as a target slave station;
and establishing the connection between the target slave station and the access terminal.
2. A method of dual connectivity selection for a secondary station as claimed in claim 1, characterised in that the configuration information includes the station type, the idle signal quality, the base signal quality, the measured signal quality, the load margin ratio and the power margin ratio of the secondary station; the inputting the configuration information and the service type into a trained slave station selection model to obtain an evaluation index of the slave station includes:
distributing a first weight to the service type, and determining a first score;
and/or assigning a second weight to the station type to determine a second score;
and/or assigning a third weight to the signal quality, determining a third score;
and/or distributing a fourth weight to the load margin proportion to determine a fourth score;
and/or distributing a fifth weight to the power margin proportion to determine a fifth score;
and summing one or more of the first score, the second score, the third score, the fourth score and the fifth score to obtain the evaluation index of the slave station.
3. The method of dual connectivity selection of a secondary station of claim 2, wherein the determining a first score, the determining a second score, the determining a third score, the determining a fourth score, the determining a fifth score, comprises:
assigning a first secondary weight based on the specific category of the traffic type;
the first score is a product of the first weight and the first secondary weight;
assigning a second secondary weight based on the particular category of the site type;
a second score is a product of the second weight and the second secondary weight;
a third score is the product of the difference between the measured signal quality and the base signal quality divided by the difference between the empty-load signal quality and the base signal quality multiplied by the third weight;
a fourth score is a product of the fourth weight and the load margin ratio;
a fifth score is a product of the fifth weight and the power headroom ratio.
4. A method of a dual-connection selection secondary station as claimed in claim 2, further comprising, after said establishing a connection of the target secondary station with an access terminal:
acquiring one or more combinations of access success rate, handover success rate and call drop rate of the communication between the access terminal and the slave station;
adjusting one or more combinations of a first weight, a second weight, a third weight, a fourth weight and a fifth weight of the slave station selection model until one or more combinations of the access terminal and the slave station with the maximum access success rate, the maximum handover success rate and the minimum call drop rate are obtained;
determining one or more combinations of the first, second, third, fourth and fifth weights as default parameters of the secondary station selection model.
5. A device for selecting slave station by double connection is applied to a master station by double connection, and is characterized by comprising:
the first acquisition module is used for acquiring the configuration information of the slave station and the service type of the access terminal;
the calculation module is used for inputting the configuration information and the service type into a trained slave station selection model to obtain an evaluation index of the slave station;
the access module is used for selecting the slave station with the highest evaluation index to be determined as the target slave station; and establishing the connection between the target slave station and the access terminal.
6. The apparatus of claim 5, wherein the configuration information includes a station type, an idle signal quality, a basic signal quality, a measured signal quality, a load margin ratio, and a power margin ratio of the secondary station, and the calculation module comprises:
a first unit, configured to assign a first weight to the service type, and determine a first score;
and/or a second unit, configured to assign a second weight to the station type, and determine a second score;
and/or a third unit for assigning a third weight to the signal quality, determining a third score;
and/or a fourth unit, configured to assign a fourth weight to the load margin proportion, and determine a fourth score;
and/or a fifth unit, configured to assign a fifth weight to the power headroom ratio, and determine a fifth score;
and the summing unit is used for summing one or more of the first score, the second score, the third score, the fourth score and the fifth score to obtain the evaluation index of the slave station.
7. A dual connectivity selection secondary station as claimed in claim 5, further comprising:
a second obtaining module, configured to obtain one or more combinations of an access success rate, a handover success rate, and a call drop rate of communication between the access terminal and the slave station;
an adjusting module, configured to adjust one or more combinations of a first weight, a second weight, a third weight, a fourth weight, and a fifth weight of the slave station selection model until one or more combinations of a maximum access success rate, a maximum handover success rate, and a minimum call drop rate of the access terminal and the slave station are obtained;
a setting module for determining one or more combinations of the first, second, third, fourth and fifth weights as default parameters of the secondary station selection model.
8. A server, comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, the processor when executing the computer program implementing the method of dual connectivity selection secondary station as claimed in any one of claims 1 to 4.
9. A computer-readable storage medium, characterized in that the storage medium stores a computer program comprising program instructions which, when executed, implement a method of dual-connection selection of a secondary station as claimed in any of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010123420.4A CN111356247B (en) | 2020-02-27 | 2020-02-27 | Method, device, server and storage medium for selecting secondary station by double connection |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010123420.4A CN111356247B (en) | 2020-02-27 | 2020-02-27 | Method, device, server and storage medium for selecting secondary station by double connection |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111356247A true CN111356247A (en) | 2020-06-30 |
| CN111356247B CN111356247B (en) | 2023-08-15 |
Family
ID=71198015
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010123420.4A Active CN111356247B (en) | 2020-02-27 | 2020-02-27 | Method, device, server and storage medium for selecting secondary station by double connection |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111356247B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080014991A1 (en) * | 2006-07-14 | 2008-01-17 | Rajiv Laroia | Methods and apparatus for supporting multiple connections |
| JP2016019239A (en) * | 2014-07-10 | 2016-02-01 | 日本電信電話株式会社 | Radio communication method, radio communication system, and radio communication program |
| CN107148037A (en) * | 2017-07-18 | 2017-09-08 | 宇龙计算机通信科技(深圳)有限公司 | A kind of system of selection, terminal and the server of the small base station of terminated |
| WO2018171634A1 (en) * | 2017-03-24 | 2018-09-27 | 华为技术有限公司 | Communication method, device and system in wireless network |
| WO2019010713A1 (en) * | 2017-07-14 | 2019-01-17 | 深圳前海达闼云端智能科技有限公司 | Method, device, and base station for terminal switching, and storage medium |
| CN109246740A (en) * | 2018-10-12 | 2019-01-18 | 中国联合网络通信集团有限公司 | A kind of evaluation method and device of network quality |
| CN109963315A (en) * | 2017-12-25 | 2019-07-02 | 中国移动通信集团公司 | A kind of prothetic group station distribution method and device |
| CN110225546A (en) * | 2019-06-26 | 2019-09-10 | 武汉虹信通信技术有限责任公司 | Auxiliary node control method and base station in a kind of dual link |
| US20190306763A1 (en) * | 2018-04-02 | 2019-10-03 | T-Mobile Usa, Inc. | Optimizing new radio standalone and dual connectivity access |
-
2020
- 2020-02-27 CN CN202010123420.4A patent/CN111356247B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080014991A1 (en) * | 2006-07-14 | 2008-01-17 | Rajiv Laroia | Methods and apparatus for supporting multiple connections |
| JP2016019239A (en) * | 2014-07-10 | 2016-02-01 | 日本電信電話株式会社 | Radio communication method, radio communication system, and radio communication program |
| WO2018171634A1 (en) * | 2017-03-24 | 2018-09-27 | 华为技术有限公司 | Communication method, device and system in wireless network |
| WO2019010713A1 (en) * | 2017-07-14 | 2019-01-17 | 深圳前海达闼云端智能科技有限公司 | Method, device, and base station for terminal switching, and storage medium |
| CN107148037A (en) * | 2017-07-18 | 2017-09-08 | 宇龙计算机通信科技(深圳)有限公司 | A kind of system of selection, terminal and the server of the small base station of terminated |
| CN109963315A (en) * | 2017-12-25 | 2019-07-02 | 中国移动通信集团公司 | A kind of prothetic group station distribution method and device |
| US20190306763A1 (en) * | 2018-04-02 | 2019-10-03 | T-Mobile Usa, Inc. | Optimizing new radio standalone and dual connectivity access |
| CN109246740A (en) * | 2018-10-12 | 2019-01-18 | 中国联合网络通信集团有限公司 | A kind of evaluation method and device of network quality |
| CN110225546A (en) * | 2019-06-26 | 2019-09-10 | 武汉虹信通信技术有限责任公司 | Auxiliary node control method and base station in a kind of dual link |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111356247B (en) | 2023-08-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108495341B (en) | Resource reservation method and system based on flow direction prediction and mobile communication system | |
| Ting et al. | Wireless heterogeneous transmitter placement using multiobjective variable-length genetic algorithm | |
| CN104584622A (en) | Method and system for cellular network load balance | |
| CN107484209B (en) | Network load balancing vertical switching method considering user QoS | |
| JP2006303788A (en) | Searching method, searching system, and searching program | |
| CN107046700A (en) | It is a kind of to predict the method and apparatus that mobile terminal switches base station | |
| CN110784883B (en) | Base station construction evaluation method, device, equipment and storage medium | |
| US20110045780A1 (en) | Radio measurement in a radiocommunications network | |
| CN103686914A (en) | A service-preference-and-network-condition-based vertical handoff method (SNVHO) | |
| CN108307412B (en) | User-centered ultra-dense network interference management method based on grouping game | |
| CN108462965A (en) | Share planing method in a kind of steel tower demand site | |
| CN104349326B (en) | Network plan method | |
| CN103686895A (en) | Switching control method, wireless network controller and access node | |
| St-Hilaire et al. | Uplink UMTS network design—an integrated approach | |
| CN109391946B (en) | Base station cluster planning method and device | |
| CN111356247B (en) | Method, device, server and storage medium for selecting secondary station by double connection | |
| Ma et al. | Heterogeneous network selection algorithm for novel 5G services based on evolutionary game | |
| Wang et al. | Base station deployment with capacity and coverage in WCDMA systems using genetic algorithm at different height | |
| KR101842880B1 (en) | Method and system for dynamic allocting frequency based on radio environment map | |
| CN103281701B (en) | A kind of collaboration frequency spectrum Forecasting Methodology of cognitive radio networks | |
| CN107231653B (en) | Weighted graph modeling method for channel reuse in wireless cellular network | |
| Munjal et al. | Improved network selection for multimedia applications | |
| Giral-Ramírez et al. | Evaluation of the performance of a collaborative proposal of multiple access in cognitive radio networks | |
| Sharma et al. | Situation-aware wireless networks | |
| Naeem et al. | Hybrid fuzzy logic engine for ping-pong effect reduction in cognitive radio network |
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 |