Public and private network resource configuration method and device, equipment and storage medium
By obtaining the cell set of perceived variation time intervals and movement trajectories in the dual-domain public private network, filtering the target problem cells and configuring network resources, the problems of low network performance and poor user experience of the dual-domain public private network are solved, and the problem of low network performance and poor user experience is achieved. Improved network performance and improved user experience.
Patent Information
- Application Number
- CN202411318379.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-20
- Publication Date
- 2025-02-14
Smart Images
Figure CN119450770A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of communication technology, and in particular to a method, device, equipment and storage medium for configuring public and private network resources. Background Art
[0002] With the advancement of 5G commercialization in China, 5G private network services are constantly expanding, and more and more scenarios have put forward the demand for ToB and ToC integrated private networks. At present, the dual-domain private network solution based on multi-DNN diversion technology is mainly used to meet the needs of public and private network collaborative access of ToC terminals, that is, ToC terminals forward ordinary business traffic through general DNN, and forward private access to the intranet traffic through dedicated DNN to achieve isolation between public and private networks. Dedicated DNN can be automatically triggered or manually switched according to the mobile phone system. The access strategy, carried slices and DNN information of dedicated DNN are controlled by the core network according to the business subscription strategy.
[0003] The user behavior and business model of dual-domain private network users are different from those of public network users and private network users. When the service perception of the dual-domain private network deteriorates, the wireless security solution of the public network or private network alone cannot solve the perception problem of the dual-domain private network well.
[0004] At present, the lack of effective wireless security solutions for dual-domain public and private networks results in low network performance and low user experience for dual-domain public and private networks. Summary of the invention
[0005] The present disclosure provides a method, device, equipment and storage medium for configuring public and private network resources, so as to at least solve the problems of low network performance and low user experience of existing dual-domain public and private networks.
[0006] The technical solution of the present disclosure is as follows:
[0007] The present disclosure provides a method for configuring public and private network resources, including:
[0008] Obtain the time interval of perception deterioration when using the dual-domain public network;
[0009] Determine an initial cell set covering the moving trajectory corresponding to the perception degradation time interval;
[0010] According to the capacity parameter and the communication quality parameter of the initial cell set, a target problem cell set is screened out from the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable;
[0011] Input the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set into the slicing scheme selection model to obtain the wireless slicing scheme classification result of each target problem cell set;
[0012] According to the classification result of the wireless slicing scheme, network resources are configured for the target problem cell set.
[0013] Optionally, the determining an initial cell set covering the moving trajectory corresponding to the perception degradation time interval includes:
[0014] Determining a first cell set used within the perceived degradation time interval;
[0015] Determine the movement trajectory according to the first cell set and the time sequence of connecting cells;
[0016] Determine a target area frame according to the maximum longitude, the maximum latitude, the minimum longitude and the minimum latitude in the first cell set;
[0017] Filtering out a second cell set except the first cell set from cells within the target area frame;
[0018] Filtering a third cell set covering the moving trajectory from the second cell set;
[0019] The initial cell set is determined according to the third cell set and the first cell set.
[0020] Optionally, screening out a target problem cell set from the initial cell set according to a capacity parameter and a communication quality parameter of the initial cell set includes:
[0021] Screening out a candidate problem cell set from the initial cell set according to the capacity parameters in the initial cell set;
[0022] Counting the communication quality parameters of each of the candidate problem cell sets within the perception degradation time interval within a set period;
[0023] Determining the user uplink rate and the user downlink rate of each candidate problem cell according to the communication quality parameter;
[0024] Determine the solution status of the QoS priority scheduling solution according to the user uplink rate, the user downlink rate, the uplink user demand rate and the downlink user demand rate corresponding to the dual-domain private network;
[0025] The target problem cell set whose solution status is unsolvable is screened out from the candidate problem cell set.
[0026] Optionally, the screening out a candidate problem cell set from the initial cell set according to the capacity parameter in the initial cell set includes:
[0027] Cells with capacity parameters greater than a capacity threshold are screened out from the initial cell set as the candidate problem cell set.
[0028] Optionally, the communication quality parameters include: average uplink traffic, average downlink traffic, number of available PRBs, and average number of users, and determining the user uplink rate and user downlink rate of each candidate problem cell according to the communication quality parameters includes:
[0029] Determine the user uplink rate of each candidate problem cell according to the average uplink traffic, the number of available PRBs and the average number of users;
[0030] The user downlink rate of each candidate problem cell is determined according to the average downlink traffic, the number of available PRBs and the average number of users.
[0031] Optionally, determining the solution status of the QoS priority scheduling solution according to the user uplink rate, the user downlink rate, the uplink user demand rate and the downlink user demand rate corresponding to the dual-domain private network includes:
[0032] When the user uplink rate is greater than the uplink user required rate, and the user downlink rate is greater than the downlink user required rate, determining that the solution status of the QoS priority scheduling solution is able to be solved;
[0033] When the user uplink rate is less than or equal to the uplink user required rate, and the user downlink rate is less than or equal to the downlink user required rate, it is determined that the resolution state of the QoS priority scheduling solution is unresolvable.
[0034] Optionally, configuring network resources for the target problem cell set according to the classification result of the wireless slicing scheme includes:
[0035] When the classification result of the wireless slicing scheme is GRB guarantee, according to the average uplink rate and the average downlink rate of the dual-domain private network, the corresponding uplink and downlink guaranteed bandwidths are configured for the target problem cell;
[0036] When the classification result of the wireless slicing scheme is RB resource reservation, the cell characteristic data of the target problem cell set is input into a resource reservation model to obtain downlink RB resource reservation information;
[0037] When the classification results of the wireless slicing scheme are GRB guarantee and RB resource reservation, the corresponding uplink and downlink guaranteed bandwidths are configured for the target problem cells according to the average uplink rate and the average downlink rate of the dual-domain private network, and the cell characteristic data of the target problem cell set is input into the resource reservation model to obtain the downlink RB resource reservation information.
[0038] The present disclosure also provides a public-private network resource configuration device, including:
[0039] An acquisition module, used for acquiring a time interval of perception degradation when using a dual-domain public network;
[0040] A determination module, used to determine an initial set of cells covering the moving trajectory corresponding to the perception degradation time interval;
[0041] A screening module, configured to screen out a target problem cell set from the initial cell set according to the capacity parameter and the communication quality parameter of the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable;
[0042] A selection module is used to input the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set into a slicing scheme selection model to obtain a wireless slicing scheme classification result for each of the target problem cell sets;
[0043] A configuration module is used to configure network resources for the target problem cell set according to the classification result of the wireless slicing scheme.
[0044] The present disclosure also provides an electronic device, including:
[0045] processor;
[0046] a memory for storing instructions executable by the processor;
[0047] The processor is configured to execute the instructions to implement each step in the above method.
[0048] The embodiment of the present disclosure further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, each step in the above method is implemented.
[0049] The technical solution provided by the embodiments of the present disclosure brings at least the following beneficial effects:
[0050] In some embodiments of the present disclosure, a perception degradation time interval of using a dual-domain public network is obtained; an initial cell set covering a mobile trajectory corresponding to the perception degradation time interval is determined; a target problem cell set is accurately screened out from the initial cell set based on capacity parameters and communication quality parameters of the initial cell set, wherein the target problem cell set is a cell set whose solution status of a QoS priority scheduling scheme is unsolvable; the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set are input into a slicing scheme selection model to obtain a wireless slicing scheme classification result for each target problem cell set; based on the wireless slicing scheme classification result, network resources are automatically configured for the target problem cell set, and different solutions are configured for each problem cell whose solution status of a QoS priority scheduling scheme is unsolvable, so as to improve the network performance of the dual-domain public and private networks and enhance the user experience.
[0051] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] The drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the description are used to explain the principles of the present disclosure, and do not constitute improper limitations on the present disclosure.
[0053] Figure 1 A flowchart of a method for configuring public and private network resources provided for an exemplary embodiment of the present disclosure;
[0054] Figure 2 A random forest principle diagram provided for an exemplary embodiment of the present disclosure;
[0055] Figure 3 A schematic diagram of constructing a FNN neural network model provided for an exemplary embodiment of the present disclosure;
[0056] Figure 4 A schematic diagram of the structure of a public-private network resource configuration device provided for an exemplary embodiment of the present disclosure;
[0057] Figure 5 A schematic structural diagram of an electronic device provided by an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION
[0058] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.
[0059] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure.
[0060] It should be noted that the user information involved in this disclosure includes but is not limited to: user device information and user personal information; the collection, storage, use, processing, transmission, provision and disclosure of user information in this disclosure comply with the relevant laws and regulations and do not violate public order and good morals.
[0061] The existing wireless security solutions have the following problems.
[0062] Problem 1: When dual-domain private network users have poor perception of their private network services, they cannot accurately locate the problem cell. When dual-domain private network users use private network services, they are constantly moving, so the locations of use are scattered. In addition, the amount of data used for private network services is smaller than that of public network services. Even when there is a cell congestion problem, private network services may not be used, resulting in no corresponding data. Therefore, it is impossible to accurately locate the problem cell completely through private network service data, and private network services do not occur continuously, which will result in a single private network analysis failing to locate potential complaints, leading to repeated complaints.
[0063] Problem 2: Currently, there is no corresponding wireless guarantee solution when dual-domain private network users have poor perception of private network services. The existing dual-domain private network wireless solution reuses large network resources. The general public network services and private network services of the dual-domain private network are carried through different DNNs. When the private network users have poor perception of private network services, they cannot completely rely on the public network's perception optimization solution to solve the problem. At present, there is no wireless guarantee solution for the characteristics of dual-domain services.
[0064] In response to the above technical problems, in some embodiments of the present disclosure, a time interval of perceived deterioration using a dual-domain public network is obtained; an initial cell set covering a mobile trajectory corresponding to the time interval of perceived deterioration is determined; a target problem cell set is accurately screened out from the initial cell set based on the capacity parameters and communication quality parameters of the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable; the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set are input into a slicing scheme selection model to obtain a wireless slicing scheme classification result for each target problem cell set; based on the wireless slicing scheme classification result, network resources are automatically configured for the target problem cell set, and different solutions are configured for each problem cell whose solution status of the QoS priority scheduling scheme is unsolvable, so as to improve the network performance of the dual-domain public and private networks and enhance the user experience.
[0065] The technical solutions provided by various embodiments of the present disclosure are described in detail below in conjunction with the accompanying drawings.
[0066] Figure 1 The following is a flow chart of a method for configuring public and private network resources provided by an exemplary embodiment of the present disclosure. Figure 1 As shown, the method includes:
[0067] S101: Obtaining a time interval of perception degradation when using a dual-domain public network;
[0068] S102: Determine an initial cell set of a moving trajectory corresponding to a coverage perception degradation time interval;
[0069] S103: Filtering a target problem cell set from the initial cell set according to the capacity parameter and the communication quality parameter of the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling solution is unsolvable;
[0070] S104: Input the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set into the slicing scheme selection model to obtain the wireless slicing scheme classification result of each target problem cell set;
[0071] S105: Configure network resources for the target problem cell set based on the classification results of the wireless slicing scheme.
[0072] In this embodiment, the execution subject of the above method may be a terminal device or a server.
[0073] Among them, the terminal device includes but is not limited to a mobile station (MS), a mobile terminal, a mobile phone, a handset and a portable equipment, etc. The terminal device can communicate with one or more core networks via a radio access network (RAN). For example, the terminal device can be a mobile phone (or a "cellular" phone), a computer with a wireless communication function, etc. The terminal device can also be a computer with a wireless transceiver function, a virtual reality (VR) terminal device, an AR terminal device, a wireless terminal in industrial control, a wireless terminal in self driving, a wireless terminal in remote medical, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc., and the operating system installed on the terminal device includes but is not limited to: IOS, Android, windows, linux, Mac OS and other operating systems. In different networks, the terminal may be called different names, such as user equipment, mobile station, subscriber unit, station, cellular phone, personal digital assistant, wireless modem, wireless communication device, handheld device, laptop computer, cordless phone, wireless local loop station, television, etc. For the convenience of description, it is referred to as terminal equipment in this embodiment.
[0074] In this embodiment, the implementation form of the server is not limited. For example, the server can be a conventional server, a cloud server, a cloud host, a virtual center, or other server devices. The server mainly includes a processor, a hard disk, a memory, a system bus, etc., and a general computer architecture type.
[0075] In this embodiment, a perception degradation time interval of using the dual-domain public network is obtained; an initial cell set covering the mobile trajectory corresponding to the perception degradation time interval is determined; based on the capacity parameters and communication quality parameters of the initial cell set, a target problem cell set is accurately screened out from the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable; the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set are input into a slicing scheme selection model to obtain a wireless slicing scheme classification result for each target problem cell set; based on the wireless slicing scheme classification result, network resources are automatically configured for the target problem cell set, and different solutions are configured for each problem cell whose solution status of the QoS priority scheduling scheme is unsolvable, so as to improve the network performance of the dual-domain public and private networks and enhance the user experience.
[0076] This paper uses public network data to fit user private network usage behavior and evaluate service perception, identifies problem cells through GIS coverage, conducts transfer learning for application scenarios of different network technologies, introduces random forest, FNN neural network and other algorithms to establish a wireless network protection solution model, and provides wireless perception protection solutions for dual-domain private network users.
[0077] In some embodiments of the present disclosure, a dual-domain private network solution based on multi-DNN technology realizes simultaneous access to the public network and the private network through different DNNs. DNN1 carries the services for accessing the public network, and DNN2 carries the services for accessing the private network. The use locations of DNN2 services are scattered, and the amount of data is small. There may even be no data when there is a perception difference problem, so it is impossible to accurately locate the problem cell through the data of DNN2. The terminals used for public network services and private network services are the same, and the moving trajectories of DNN1 and DNN2 are the same. Based on the above situation, the present disclosure fits the cell used by the private network service by tracking the moving trajectory of users with poor perception when using the DNN1 public network service, and judging whether the surrounding cells cover the moving trajectory through GIS information.
[0078] In some embodiments of the present disclosure, an initial cell set of the mobile trajectory corresponding to the time interval of perception deterioration is determined. One achievable method is to determine the first cell set used in the time interval of perception deterioration; determine the mobile trajectory according to the time sequence of connecting cells based on the first cell set; determine the target area frame based on the maximum longitude, maximum latitude, minimum longitude and minimum latitude in the first cell set; filter out the second cell set other than the first cell set from the cells in the target area frame; filter out the initial cell set covering the mobile trajectory from the second cell set.
[0079] In the above embodiment, the first cell set used within the perception deterioration time interval is determined. Specifically, according to the perception deterioration time interval T provided by the user when complaining about poor perception, the network management data is parsed through DPI technology to screen out the first cell set D1 used by the user within the perception deterioration time interval, as shown in Table 1 below.
[0080] User ID Community CGI time longitude latitude **** 460-00-569676-132 2023.11.1 14：23 23.107014 113.287692 **** 460-00-171814-2 2023.11.1 14：26 23.10207 113.28417 **** 460-00-569694-1 2023.11.1 14：30 23.100591 113.284581 ... ... ... ... ...
[0081] Table 1
[0082] Considering that the reason for poor perception may be that the user cannot connect to certain cells when moving, in order to complete these cells, the present disclosure will fit all the cells that the user passes through when moving in the complaint interval through GIS information. Based on the cell information parsed from the network management data, the cell engineering parameter information in the northbound data is associated, as shown in Table 2 below.
[0083]
[0084]
[0085] Table 2
[0086] In the above embodiment, the movement trajectory is determined according to the first cell set and the time sequence of connecting the cells. The movement trajectory L of the user is obtained by connecting the cells in time sequence according to the longitude and latitude of the cells in the first cell set D1.
[0087] In the above embodiment, the target area frame is determined according to the maximum longitude, maximum latitude, minimum longitude and minimum latitude in the first cell set. The maximum longitude, maximum latitude, minimum longitude and minimum latitude of the cells in the first cell set D1 are obtained, and the target area frame is delineated for four vertices at a time.
[0088] In the above embodiment, a second cell set other than the first cell set is selected from the cells in the target area frame; a third cell set covering the mobile trajectory is selected from the second cell set; and an initial cell set is determined based on the third cell set and the first cell set. Among them, all cells in the target area frame are identified through GIS recognition, and the cells in the first cell set D1 are eliminated to obtain the second cell set D2, and the cells in D2 are analyzed to see whether they cover the trajectory L. The engineering parameter data of the D2 cell are as shown in Table 3:
[0089] Community CGI Whether to cover the track 460-00-569456-3 yes 460-00-123814-2 yes 460-00-566494-1 no ... ...
[0090] Table 3
[0091] Coverage judgment method: cell sector S = within 65 degrees (within 32.5 degrees on both sides of the azimuth), sector coverage radius R, whether the formed sector overlaps with L, if so, it is included in the third cell set D3. It should be noted that the coverage radius R in the present disclosure is 100 meters. The third cell set D3 plus the first cell set D1 obtains the initial cell set C for fitting coverage.
[0092] In some embodiments of the present disclosure, a target problem cell set is screened out from the initial cell set based on the capacity parameters and communication quality parameters of the initial cell set. One achievable method is to screen out a candidate problem cell set from the initial cell set based on the capacity parameters in the initial cell set; statistically calculate the communication quality parameters of each candidate problem cell set within a set period within the perceived variation time interval; determine the user uplink rate and user downlink rate of each candidate problem cell based on the communication quality parameters; determine the solution status of the QoS priority scheduling solution based on the user uplink rate, user downlink rate, and the uplink user demand rate and downlink user demand rate corresponding to the dual-domain private network; and screen out a target problem cell set whose solution status is unsolvable from the candidate problem cell set.
[0093] In the above embodiment, according to the capacity parameters in the initial cell set, a candidate problem cell set is screened out from the initial cell set. One achievable way is to screen out cells whose capacity parameters are greater than the capacity threshold value from the initial cell set as the candidate problem cell set. It should be noted that the capacity parameters include but are not limited to: cell CGI, frequency band, cell type, networking mode, downlink traffic, uplink traffic, downlink service channel utilization, uplink service channel utilization and downlink control channel utilization.
[0094] Among them, the hourly capacity parameters of the cells in the initial cell set C during the perception degradation time interval are counted, and the cells that exceed the corresponding capacity threshold value are judged as candidate problem cells, and the candidate problem cell set C1 is obtained, as shown in the following Tables 4 and 5.
[0095]
[0096] Table 4
[0097]
[0098]
[0099] Table 5
[0100] The candidate problem cell set is shown in Table 6 below.
[0101] Serial number Community CGI 1 460-00-569456-3 2 460-00-123814-2 3 460-00-566494-1 ... ...
[0102] Table 6
[0103] In this embodiment, the current private network wireless guarantee solutions mainly include QoS priority scheduling (Non-GBR guarantee), GBR guarantee, RB reservation, GBR guarantee + RB reservation and other solutions. Among them, QoS priority scheduling (Non-GBR guarantee) uses a specific 5QI bearer to guarantee service optimization resource allocation, which can solve problems such as network delay and congestion; it is a wide area roaming solution, which has the least impact on the network among the above solutions. Therefore, it is given priority to consider whether QoS priority scheduling (Non-GBR guarantee) can meet the dual-domain private network rate requirements.
[0104] The present disclosure estimates the carrying capacity of each 5QI of the cell to simply predict the uplink and downlink rates of users who activate different 5QIs, thereby selecting a QoS priority scheduling solution.
[0105] It should be noted that QoS priority scheduling (Non-GBR) realizes different scheduling ratios of wireless resources by configuring different 5QIs. According to the service specifications, 5QI6, 5QI8, and 5QI9 can be configured, and the resource scheduling ratio is 4:2:1.
[0106] It should be noted that 5QI (5G Quality Indicator) is an indicator used to indicate the service quality of different data flows in 5G networks. Specifically, 5QI is a set of data flows used to identify specific QoS characteristics. It defines the performance requirements such as priority, delay, and packet loss rate of data flows for different types of applications.
[0107] 5QI=6, for regular Internet traffic such as web browsing and video streaming; low latency, moderate packet loss rate, which makes it suitable for general user experience needs. 5QI=8, for applications that require higher reliability and low latency, such as augmented reality and virtual reality applications (AR / VR); provides stricter service quality guarantees, especially in time-sensitive application scenarios. 5QI=9, for mission-critical applications such as emergency communications or telemedicine; extremely low latency and almost zero packet loss rate to ensure stable and reliable connections. These 5QI values help operators optimize and allocate network resources according to different business needs.
[0108] It should be noted that the communication quality parameters include: average uplink traffic, average downlink traffic, number of available PRBs and average number of users.
[0109] In the above embodiment, the communication quality parameters of each candidate problem cell set within the set period in the perception deterioration time interval are counted. For example, the communication quality parameters of each cell in the candidate problem cell set C1 within the perception deterioration time interval T are counted for 15 minutes, as shown in Table 7 below.
[0110]
[0111] Table 7
[0112] In the above embodiment, the user uplink rate and the user downlink rate of each candidate problem cell are determined according to the communication quality parameters. One achievable method is to determine the user uplink rate of each candidate problem cell according to the average uplink flow, the number of available PRBs and the average number of users; and to determine the user downlink rate of each candidate problem cell according to the average downlink flow, the number of available PRBs and the average number of users.
[0113] For example, suppose the average uplink traffic of 5QI9 in cell A is G 9上 , the number of available PRBs is N, and the average number of 5QI9 users is X9.
[0114] The average PRB uplink load factor of 5QI6 in cell A is W 6上 :
[0115]
[0116] Because the problem cell is congested, the additional traffic when adding users is ignored. If the QoS priority scheduling scheme for the added dual-domain private network users is 5QI9 and t is 15 minutes, the estimated user uplink rate M 9上 :
[0117]
[0118] Similarly, the user downlink rate M can be estimated9下 .
[0119] In the above-mentioned embodiment of the present disclosure, the solution state of the QoS priority scheduling scheme is determined according to the user uplink rate, the user downlink rate, the uplink user demand rate and the downlink user demand rate corresponding to the dual-domain private network. One achievable method is that when the user uplink rate is greater than the uplink user demand rate, and the user downlink rate is greater than the downlink user demand rate, the solution state of the QoS priority scheduling scheme is determined to be solvable; when the user uplink rate is less than or equal to the uplink user demand rate, and the user downlink rate is less than or equal to the downlink user demand rate, the solution state of the QoS priority scheduling scheme is determined to be unsolvable.
[0120] For example, the estimated user uplink rate M 9上 , User downlink rate M 9下 Compare the uplink user demand rate and downlink user demand rate corresponding to the dual-domain private network. If the estimated values are greater than the demand values, the output solution for this problem cell is the QoS priority scheduling solution: 5QI9. Otherwise, continue to estimate whether 5QI8 meets the demand. If 5QI8 does not meet the demand, then estimate 5QI6. If 5QI6 does not meet the demand, then the solution status of the output QoS priority scheduling solution is unsolvable. Judge each cell in the candidate problem cell set C1, and the output result example is shown in Table 8 below:
[0121] Serial number Community CGI QoS priority scheduling solution 1 460-00-569456-1 5QI 2 460-00-123814-1 5QI 3 460-00-123814-3 Unable to resolve ... ... ...
[0122] Table 8
[0123] Among them, the target problem cell set C2 cannot be solved by the QoS priority scheduling solution.
[0124] In this embodiment, for the cells in the target problem cell set C2 that cannot be solved by the QoS priority scheduling scheme, solutions such as GBR guarantee, RB reservation, GBR guarantee + RB reservation, etc. are used to solve them. There is currently no solution for superimposing slices on the dual-domain private network. Although the traffic model of the dual-domain private network and the private network is not exactly the same, the wireless slicing capabilities are the same; and currently 5G private network services have been widely used, and the existing network already has a lot of mature application data. Therefore, the present disclosure uses transfer learning to model the 5G private network slicing scheme data based on the random forest algorithm and trains a slicing scheme selection model. It is applied to the classification of wireless guarantee schemes when the perception of dual-domain private networks is poor.
[0125] The training process of the slicing scheme selection model is as follows:
[0126] (1) Construct training samples.
[0127] The training samples are constructed according to the private network service requirements and actual cell indicators as follows.
[0128] The non-data class values in the historical data are digitally mapped to establish an evaluation training sample set.
[0129] Some mapping rules are shown in Table 9 below:
[0130] Tiling scheme Digital twin GBR Guarantee 0 RB resource reservation 1 GBR guarantee + RB resource reservation 2
[0131] Table 9
[0132] Reliability requirements are divided into five levels according to business specifications, and the mapping is shown in Table 10:
[0133] Reliability requirements Digital twin A 0 AA 1 AAA 2 AAAA 3 AAAAA 4
[0134] Table 10
[0135] The latency is divided into four levels according to the service specifications, and the mapping is shown in Table 11:
[0136] Latency Digital twin 30-50 0 20-30 1 10-20 2 5-10 3
[0137] Table 11
[0138] The evaluation training sample set is constructed as shown in Table 12:
[0139]
[0140]
[0141] Table 12
[0142] (2) Construct a slicing scheme selection model based on the random forest algorithm.
[0143] Figure 2 A random forest principle diagram is provided for an exemplary embodiment of the present disclosure. Figure 2 As shown in the figure, 30 training samples are randomly selected from the 900 original data sets with replacement in the training sample set, and classification and regression trees are constructed in parallel. This is repeated 50 times, and the number of decision trees is 15. For new data, each tree makes a decision and finally votes to confirm which category it is classified into. The final trained slicing scheme selection model is obtained.
[0144] (3) Input the actual data of the dual-domain private network.
[0145] The dual-domain private network demand parameters and the cell operation parameters of the target problem cell set are brought into the slicing scheme selection model.
[0146] The dual-domain private network demand data comes from the demand information filled in by the user when opening the dual-domain private network service, which is digitally mapped, as shown in Table 13 below:
[0147]
[0148] Table 13
[0149] The hourly performance data of each cell in the target problem cell set C2 within the perception degradation time interval is counted and digitally mapped, as shown in Table 14 below:
[0150]
[0151] Table 14
[0152] (4) Output the classification results of wireless slicing solutions
[0153] The actual data of the dual-domain private network is input into the trained slicing scheme selection model, and the classification results of the wireless slicing schemes of each cell in the target problem cell set are output. An example is shown in Table 15 below:
[0154] Community CGI Preliminary wireless slicing solution 460-00-569456-3 GBR Guarantee 460-00-123814-2 RB resource reservation ... ...
[0155] Table 15
[0156] (5) Detailed plan for wireless slicing
[0157] The present invention determines the GBR activation level according to the GBR level classification of the service side package and the dual-domain private network service needs.
[0158] The GBR activation level has different settings according to different operator packages. An example is shown in Table 16:
[0159]
[0160] Table 16
[0161] In some embodiments of the present disclosure, network resources are configured for a target problem cell set according to a classification result of a wireless slicing scheme. One achievable method is that when the classification result of the wireless slicing scheme is GRB guarantee, corresponding uplink and downlink guaranteed bandwidths are configured for the target problem cell according to the average uplink rate and average downlink rate of the dual-domain private network; when the classification result of the wireless slicing scheme is RB resource reservation, the cell characteristic data of the target problem cell set is input into a resource reservation model to obtain downlink RB resource reservation information; when the classification result of the wireless slicing scheme is GRB guarantee and RB resource reservation, corresponding uplink and downlink guaranteed bandwidths are configured for the target problem cell according to the average uplink rate and average downlink rate of the dual-domain private network, and the cell characteristic data of the target problem cell set is input into a resource reservation model to obtain downlink RB resource reservation information.
[0162] For example, when the slicing scheme is GBR guarantee, the corresponding uplink and downlink guaranteed bandwidth is configured in the cells of the target problem cell set according to the average uplink rate (single terminal Mbps) and average downlink rate (single terminal Mbps) required by the service. The specific algorithm is as follows:
[0163] Assume that "uplink rate (single terminal Mbps)" or "downlink rate (single terminal Mbps)" is x, and guaranteed bandwidth (Mbps) is y.
[0164] Judgment coefficient a n =x / y n According to the current private network service package, the value range of y is: y = {100, 70, 50, 30, 20, ...}. That is, y1 = 100, y2 = 70, and so on, we can get a1, a2, a3, ...a n ; Judge a in turn n Is it greater than or equal to 1? If yes, select y n Corresponding to the guaranteed bandwidth (Mbps) level, if not, continue to judge.
[0165] For another example, the resource reservation model is an FNN neural network. According to the service specifications of different operators, RB resource reservation schemes generally have multiple uplink and downlink gear combinations, which require a large-scale training data set. Neural networks have better performance in the training of large-scale data sets, so the present disclosure adopts the FNN neural network algorithm for training.
[0166] The present invention uses transfer learning to train 5G private network slicing solution data based on the FNN neural network algorithm, constructs an RB resource reservation detailed solution selection model, and applies it to the selection of RB resource reservation detailed solutions for dual-domain private networks.
[0167] Taking the downlink RB resource reservation solution as an example, the uplink solution is the same as the downlink solution.
[0168] According to the service specification RB resource reservation scheme, there are N types of downlink reserved positions, which are digitally mapped. An example is shown in Table 17 below:
[0169] Downlink reservation ratio (%) Digital twin 1 0 2 1 5 2 10 3 ... ...
[0170] Table 17
[0171] Based on actual production experience, relevant features are selected and training sample examples are constructed as shown in Table 18:
[0172]
[0173] Table 18
[0174] Among them, the cell coding mode coefficient = QPSK coding mode ratio * 1.1758 + 16QAM coding mode ratio * 2.5703 + 64QAM coding mode ratio * 5.1152 + 256*QAM coding mode ratio * 7.4063, and the coefficient multiplied by each coding mode ratio is determined by its theoretical maximum transmission efficiency value.
[0175] Figure 3A schematic diagram of constructing a FNN neural network model provided by an exemplary embodiment of the present disclosure. Figure 3 As shown, the data is normalized and used as model input data to train the downlink RB resource reservation model. The FNN model is trained. After normalization, the data is used as the training set and the test set in a ratio of 85% and 15%.
[0176] Among them, the relevant functions and parameters of the model have been verified and optimized and are as follows: activation function: Softmax; loss function: cross entropy; optimizer: Adam; batch size: 1; number of data points: 3000; neurons: 5.
[0177] Due to the high load of the capacity problem cell, the downlink traffic successfully transmitted by the cell MAC layer under the higher load is less affected by the reservation ratio and can be ignored in the estimation. Therefore, this scheme directly brings the dual-domain private network demand downlink rate and the problem cell feature data classified as RB resource reservation in the preliminary scheme into the trained FNN model to output the downlink RB resource reservation scheme.
[0178] The dual-domain private network demand data is shown in Table 19:
[0179] Downlink rate (single terminal Mbps) 5
[0180] Table 19
[0181] The characteristic data of the problem cell is shown in Table 20 below:
[0182]
[0183]
[0184] Table 20
[0185] Bring in the trained model and output the downlink RB resource reservation plan.
[0186] The output uplink and downlink solutions are combined to output the final RB resource reservation solution, as shown in Table 21 below:
[0187] Community CGI Refine the plan 460-00-562356-1 5% up, 10% down 460-00-123254-1 10% up, 30% down ... ...
[0188] Table 21
[0189] When the slicing scheme is GBR guarantee + RB resource reservation, the above GBR guarantee scheme and RB resource reservation scheme are refined.
[0190] In some embodiments of the present disclosure, the detailed solution for each cell in the candidate problem cell set C1, where the QoS priority scheduling solution has different 5QIs, directly retains the highest priority 5QI (5QI priority is: 5QI6>5QI8>5QI9), such as the following Table 22:
[0191] Community CGI Refine the plan Final Output 1 QoS priority scheduling: 5QI6 QoS priority scheduling: 5QI6 2 QoS priority scheduling: 5QI9 QoS priority scheduling: 5QI6 ... ... ...
[0192] Table 22
[0193] Output the final wireless perception protection solution, an example is shown in Table 23 below:
[0194]
[0195] Table 23
[0196] Subsequently, relevant data configuration can be implemented based on the output wireless perception assurance solution to enhance user perception.
[0197] In some embodiments of the present disclosure, since the wireless perception protection scheme output by the present disclosure consumes wireless resources and generates new charges, users need to subscribe to corresponding packages. After the present disclosure outputs the corresponding wireless protection scheme according to user behavior and cell information, the scheme will be pushed to the user through the system. The user can subscribe to the recommended scheme package on the relevant page according to the needs. The provincial secondary industry editing system configures the corresponding data according to the user's subscription information, completes the package activation, and improves the user's dual-domain private network usage perception.
[0198] The templates for ordering demand packages are as follows: Table 24, Table 25 and Table 26:
[0199]
[0200] Table 24
[0201]
[0202] Table 25
[0203]
[0204] Table 26
[0205] In the above method embodiment of the present disclosure, a perception degradation time interval of using a dual-domain public network is obtained; an initial cell set covering a mobile trajectory corresponding to the perception degradation time interval is determined; a target problem cell set is accurately screened out from the initial cell set according to the capacity parameters and communication quality parameters of the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable; the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set are input into a slicing scheme selection model to obtain a wireless slicing scheme classification result for each target problem cell set; according to the wireless slicing scheme classification result, network resources are automatically configured for the target problem cell set, and different solutions are configured for each problem cell whose solution status of the QoS priority scheduling scheme is unsolvable, so as to improve the network performance of the dual-domain public and private networks and enhance the user experience.
[0206] Figure 4 FIG. 4 is a schematic diagram of a public-private network resource configuration device 40 provided in an exemplary embodiment of the present disclosure. Figure 4 As shown, the public-private network resource configuration device 40 includes: an acquisition module 41 , a determination module 42 , a screening module 43 , a selection module 44 and a configuration module 45 .
[0207] The acquisition module 41 is used to obtain a time interval of perception degradation when using the dual-domain public network;
[0208] A determination module 42, configured to determine an initial cell set of a moving trajectory corresponding to a coverage perception degradation time interval;
[0209] A screening module 43 is used to screen out a target problem cell set from the initial cell set according to the capacity parameter and the communication quality parameter of the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable;
[0210] The selection module 44 is used to input the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set into the slicing scheme selection model to obtain the wireless slicing scheme classification result of each target problem cell set;
[0211] The configuration module 45 is used to configure network resources for the target problem cell set according to the classification results of the wireless slicing scheme.
[0212] Optionally, when determining the initial cell set of the moving trajectory corresponding to the coverage perception degradation time interval, the determination module 42 is configured to:
[0213] Determining a first cell set used within a time interval of perceived degradation;
[0214] Determine the movement trajectory according to the first cell set and the time sequence of connecting the cells;
[0215] Determine a target area frame according to the maximum longitude, the maximum latitude, the minimum longitude and the minimum latitude in the first cell set;
[0216] Filtering out a second set of cells other than the first set of cells from cells within the target area frame;
[0217] Filtering a third cell set covering the moving trajectory from the second cell set;
[0218] An initial cell set is determined according to the third cell set and the first cell set.
[0219] Optionally, when screening out a target problem cell set from the initial cell set according to the capacity parameter and the communication quality parameter of the initial cell set, the screening module 43 is configured to:
[0220] According to the capacity parameters in the initial cell set, a candidate problem cell set is screened out from the initial cell set;
[0221] Counting the communication quality parameters of each candidate problem cell set within a set period within a time interval of perception degradation;
[0222] Determine the user uplink rate and user downlink rate of each candidate problem cell according to the communication quality parameters;
[0223] Determine the solution status of the QoS priority scheduling solution based on the user uplink rate, user downlink rate, uplink user demand rate and downlink user demand rate corresponding to the dual-domain private network;
[0224] A target problem cell set whose solution status is unsolvable is selected from the candidate problem cell set.
[0225] Optionally, when screening out a candidate problem cell set from the initial cell set according to the capacity parameter in the initial cell set, the screening module 43 is configured to:
[0226] Cells whose capacity parameters are greater than the capacity threshold are selected from the initial cell set as the candidate problem cell set.
[0227] Optionally, the communication quality parameters include: average uplink traffic, average downlink traffic, number of available PRBs and average number of users. When the screening module 43 determines the user uplink rate and user downlink rate of each candidate problem cell according to the communication quality parameters, it is used to:
[0228] Determine the user uplink rate of each candidate problem cell based on the average uplink traffic, the number of available PRBs, and the average number of users;
[0229] The user downlink rate of each candidate problem cell is determined based on the average downlink traffic, the number of available PRBs and the average number of users.
[0230] Optionally, when the screening module 43 determines the solution state of the QoS priority scheduling solution according to the user uplink rate, the user downlink rate, the uplink user demand rate and the downlink user demand rate corresponding to the dual-domain private network, it is used to:
[0231] When the user uplink rate is greater than the uplink user required rate, and the user downlink rate is greater than the downlink user required rate, the solution state of the QoS priority scheduling solution is determined to be able to be solved;
[0232] When the user uplink rate is less than or equal to the uplink user required rate, and the user downlink rate is less than or equal to the downlink user required rate, it is determined that the solution state of the QoS priority scheduling solution is unsolvable.
[0233] Optionally, when configuring network resources for the target problem cell set according to the classification result of the wireless slicing scheme, the configuration module 45 is used to:
[0234] When the classification result of the wireless slicing scheme is GRB guarantee, the corresponding uplink and downlink guaranteed bandwidth is configured for the target problem cell according to the average uplink rate and average downlink rate of the dual-domain private network;
[0235] When the classification result of the wireless slicing scheme is RB resource reservation, the cell characteristic data of the target problem cell set is input into the resource reservation model to obtain downlink RB resource reservation information;
[0236] When the classification results of the wireless slicing scheme are GRB guarantee and RB resource reservation, the corresponding uplink and downlink guaranteed bandwidths are configured for the target problem cells according to the average uplink rate and average downlink rate of the dual-domain private network, and the cell characteristic data of the target problem cell set is input into the resource reservation model to obtain the downlink RB resource reservation information.
[0237] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.
[0238] Figure 5 FIG. 1 is a schematic diagram of a structure of an electronic device provided by an exemplary embodiment of the present disclosure. Figure 5 As shown, the electronic device includes: a memory 51 and a processor 52. In addition, the electronic device also includes a power supply component 53 and a communication component 54.
[0239] The memory 51 is used to store computer programs and can be configured to store various other data to support operations on the electronic device. Examples of such data include instructions for any application program or method operating on the electronic device.
[0240] The memory 51 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
[0241] The communication component 54 is used for data transmission with other devices.
[0242] The processor 52 can execute computer instructions stored in the memory 51 to: obtain a time interval of perceived deterioration when using a dual-domain public network; determine an initial cell set that covers a mobile trajectory corresponding to the time interval of perceived deterioration; screen out a target problem cell set from the initial cell set based on capacity parameters and communication quality parameters of the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable; input the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set into a slicing scheme selection model to obtain a wireless slicing scheme classification result for each target problem cell set; and configure network resources for the target problem cell set based on the wireless slicing scheme classification result.
[0243] Accordingly, the present disclosure also provides a computer-readable storage medium storing a computer program. When the computer-readable storage medium stores the computer program and the computer program is executed by one or more processors, the one or more processors execute Figure 2 Each step in the method embodiment.
[0244] Accordingly, the present disclosure also provides a computer program product, the computer program product includes a computer program / instruction, the computer program / instruction is executed by a processor Figure 2 Each step in the method embodiment.
[0245] Above Figure 5 The communication component in is configured to facilitate wired or wireless communication between the device where the communication component is located and other devices. The device where the communication component is located can access a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G / LTE, 5G and other mobile communication networks, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
[0246] Above Figure 5 The power supply component in the device provides power to various components of the device where the power supply component is located. The power supply component may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the device where the power supply component is located.
[0247] The electronic device also includes a display screen and an audio component.
[0248] The display screen includes a screen, and the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
[0249] The audio component may be configured to output and / or input audio signals. For example, the audio component includes a microphone (MIC), and when the device where the audio component is located is in an operating mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal may be further stored in a memory or sent via a communication component. In some embodiments, the audio component also includes a speaker for outputting an audio signal.
[0250] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0251] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0252] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0253] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.
[0254] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0255] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.
[0256] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules 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 disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.
[0257] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0258] The above are only specific embodiments of the present disclosure, so that those skilled in the art can understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for configuring public and private network resources, characterized in that: include: Obtain the time interval of perception deterioration when using the dual-domain public network; Determine an initial cell set covering the moving trajectory corresponding to the perception degradation time interval; According to the capacity parameter and the communication quality parameter of the initial cell set, a target problem cell set is screened out from the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable; Input the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set into the slicing scheme selection model to obtain the wireless slicing scheme classification result of each target problem cell set; According to the classification result of the wireless slicing scheme, network resources are configured for the target problem cell set.
2. The method according to claim 1, characterized in that The determining of an initial cell set covering the moving trajectory corresponding to the perception degradation time interval includes: Determining a first cell set used within the perceived degradation time interval; Determine the movement trajectory according to the first cell set and the time sequence of connecting cells; Determine a target area frame according to the maximum longitude, the maximum latitude, the minimum longitude and the minimum latitude in the first cell set; Filtering out a second cell set except the first cell set from cells within the target area frame; Filtering a third cell set covering the moving trajectory from the second cell set; The initial cell set is determined according to the third cell set and the first cell set.
3. The method according to claim 1, characterized in that Screening out a target problem cell set from the initial cell set according to the capacity parameter and the communication quality parameter of the initial cell set includes: Screening out a candidate problem cell set from the initial cell set according to the capacity parameters in the initial cell set; Counting the communication quality parameters of each of the candidate problem cell sets within the perception degradation time interval within a set period; Determining the user uplink rate and the user downlink rate of each candidate problem cell according to the communication quality parameter; Determine the solution status of the QoS priority scheduling solution according to the user uplink rate, the user downlink rate, the uplink user demand rate and the downlink user demand rate corresponding to the dual-domain private network; The target problem cell set whose solution status is unsolvable is screened out from the candidate problem cell set.
4. The method according to claim 3, characterized in that The step of selecting a candidate problem cell set from the initial cell set according to the capacity parameter in the initial cell set includes: Cells with capacity parameters greater than a capacity threshold are screened out from the initial cell set as the candidate problem cell set.
5. The method according to claim 3, characterized in that: The communication quality parameters include: average uplink traffic, average downlink traffic, number of available PRBs and average number of users, and determining the user uplink rate and user downlink rate of each candidate problem cell according to the communication quality parameters includes: Determine the user uplink rate of each candidate problem cell according to the average uplink traffic, the number of available PRBs and the average number of users; The user downlink rate of each candidate problem cell is determined according to the average downlink traffic, the number of available PRBs and the average number of users.
6. The method according to claim 3, characterized in that The determining the solution status of the QoS priority scheduling scheme according to the user uplink rate, the user downlink rate, the uplink user demand rate and the downlink user demand rate corresponding to the dual-domain private network includes: When the user uplink rate is greater than the uplink user required rate, and the user downlink rate is greater than the downlink user required rate, determining that the solution status of the QoS priority scheduling solution is able to be solved; When the user uplink rate is less than or equal to the uplink user required rate, and the user downlink rate is less than or equal to the downlink user required rate, it is determined that the resolution state of the QoS priority scheduling solution is unresolvable.
7. The method according to claim 1, characterized in that The configuring network resources for the target problem cell set according to the classification result of the wireless slicing scheme includes: When the classification result of the wireless slicing scheme is GRB guarantee, according to the average uplink rate and the average downlink rate of the dual-domain private network, the corresponding uplink and downlink guaranteed bandwidths are configured for the target problem cell; When the classification result of the wireless slicing scheme is RB resource reservation, the cell characteristic data of the target problem cell set is input into a resource reservation model to obtain downlink RB resource reservation information; When the classification results of the wireless slicing scheme are GRB guarantee and RB resource reservation, the corresponding uplink and downlink guaranteed bandwidths are configured for the target problem cells according to the average uplink rate and the average downlink rate of the dual-domain private network, and the cell characteristic data of the target problem cell set is input into the resource reservation model to obtain the downlink RB resource reservation information.
8. A public-private network resource configuration device, characterized in that: include: An acquisition module, used for acquiring a time interval of perception degradation when using a dual-domain public network; A determination module, used to determine an initial set of cells covering the moving trajectory corresponding to the perception degradation time interval; A screening module, configured to screen out a target problem cell set from the initial cell set according to the capacity parameter and the communication quality parameter of the initial cell set, wherein the target problem cell set is a cell set whose solution status of the QoS priority scheduling scheme is unsolvable; A selection module is used to input the dual-domain private network demand parameters and the cell operation parameters of the target problem cell set into a slicing scheme selection model to obtain a wireless slicing scheme classification result for each of the target problem cell sets; A configuration module is used to configure network resources for the target problem cell set according to the classification result of the wireless slicing scheme.
9. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement each step in the method according to any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, each step of the method according to any one of claims 1 to 7 is implemented.