A resource scheduling optimization method and device of an intelligent power distribution terminal and a storage medium

By optimizing the resource scheduling of intelligent power distribution terminals, and prioritizing resource allocation to power terminals by base stations, the data transmission problem of power terminals in areas with poor signal coverage is solved, the online rate and data transmission stability of power terminals are improved, and the coexistence of power terminals and ordinary users is realized.

CN120456172BActive Publication Date: 2025-11-04INFORMATION & COMM CO OF STATE GRID SHAANXI ELECTRIC POWER CO LTD
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Patent Information

Application Number
CN202510940351.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-09
Publication Date
2025-11-04
Estimated Expiration
2045-07-09

AI Technical Summary

Technical Problem

Existing smart meter reading systems suffer from weak or nonexistent macro base station signal coverage when power terminals are located in basements or remote mountainous areas, resulting in power terminals being unable to access the system and unstable data transmission. Furthermore, when there are a large number of power terminals, the system cannot meet the data transmission needs of business operations.

Method used

By using the resource scheduling optimization method of intelligent power distribution terminals, the base station responds to the UE's access request, determines the number of online users and terminal type, calculates the target scheduling priority, prioritizes the allocation of resources to power terminals, ensures the stable transmission of service data of power terminals, and provides services to other mobile phone users.

Benefits of technology

It improved the online rate and data transmission stability of power terminals, improved environments with poor signal coverage, solved the transmission problem when the number of power terminal users reached saturation, and enabled the coexistence of power terminals and ordinary users.

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Abstract

The application provides a resource scheduling optimization method and device of an intelligent power distribution terminal and a storage medium. The method comprises the following steps: in response to an access request initiated by a UE, acquiring the current number of online users of a cell; determining whether the current number of online users reaches the preset maximum number of activated users of the cell; when it is determined that the current number of online users does not reach the preset maximum number of activated users of the cell, further determining whether the UE is a power terminal; when it is determined that the UE is a power terminal, the UE reports a PDU session establishment request to a core network, the core network performs authentication and service parameter determination, and sends a PDU session establishment command to a base station; the base station calculates the target scheduling priority of the UE based on the QoS parameter configuration and the channel quality; the base station determines whether the target scheduling priority is lower than that of other power terminals; when it is determined that the target scheduling priority is lower than that of other power terminals, the UE is allowed to perform related services.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and relates to, but is not limited to, a resource scheduling optimization method, device and storage medium of an intelligent power distribution terminal. BACKGROUND

[0002] The intelligent meter reading technology is a new type of metering management mode that replaces the traditional manual meter reading through automation, digitization and networking. The core is to automatically transmit data to the cloud platform through intelligent terminals (such as intelligent power terminals), realize efficient and accurate consumption monitoring, cost settlement and abnormal early warning, support users to query energy consumption in real time, optimize resource use, and help municipal departments to improve management efficiency and reduce labor costs. It is an important infrastructure for smart city and energy digital transformation.

[0003] The existing intelligent meter reading system data transmission mode is divided into the following two kinds, which are scheme one: the power terminal is changed into a card insertion type fusion terminal, and the access of the cell is completed through the reception of the 4G / 5G signal of the macro station; scheme two: the signal of the macro station is amplified by the signal direct station and transmitted to the power terminal in the basement.

[0004] However, the above-mentioned intelligent meter reading technology has the following disadvantages: 1) when the power terminal is in the basement or remote mountainous area, the macro station signal coverage is weak or basically no coverage, which cannot support the access and data transmission of the power terminal; there are many power terminals and the macro station users are close to saturation; 2) it may not meet the business data transmission of all power terminals, and the macro station does not consider the difference between the power terminal and the ordinary user, and cannot guarantee the stable transmission of the power terminal data. SUMMARY

[0005] In order to solve the above technical problems existing in the prior art, the present application provides a resource scheduling optimization method, device and storage medium of an intelligent power distribution terminal.

[0006] The technical method of the embodiment of the present application is implemented as follows:

[0007] In a first aspect, the embodiment of the present application provides a resource scheduling optimization method of an intelligent power distribution terminal, which is applied to an intelligent power distribution terminal data wireless backhaul system, and the system at least includes a base station supporting the access of power terminals and mobile terminals at the same time, a UE and a core network; the method comprises the following steps:

[0008] The base station acquires the current number of online users of the cell in response to the access request initiated by the UE;

[0009] It is judged whether the current number of online users reaches the preset maximum number of activated users of the cell;

[0010] When it is determined that the UE is not the power terminal, the method further comprises: determining whether the UE is a power terminal;

[0011] When it is determined that the UE is the power terminal, the UE reports a PDU session establishment request to the core network, the core network performs authentication and service parameter determination, and issues a PDU session establishment command to the base station; the base station checks the QoS parameter configuration in the command;

[0012] The base station calculates a target scheduling priority of the UE based on the QoS parameter configuration and channel quality;

[0013] The base station determines whether the target scheduling priority is lower than that of other power terminals;

[0014] When it is determined that the target scheduling priority is lower than that of the other power terminals, the UE is allowed to establish a PDU session and resource allocation.

[0015] In some embodiments, the method further comprises: when the number of current cell users reaches the preset maximum number of active users of the cell, directly rejecting the access request of the current user.

[0016] In some embodiments, the method further comprises: when it is determined that the target scheduling priority is higher than that of the other power terminals, releasing a data resource block, triggering a PDU session modification process, and lowering the target scheduling priority; after determining that the modified scheduling priority is lower than that of the other power terminals, allowing the UE to establish a PDU session and resource allocation.

[0017] In some embodiments, the base station calculates the target scheduling priority of the UE based on the QoS parameter configuration and channel quality, comprising: calculating the target scheduling priority of the UE according to the channel quality of the UE, the QoS priority in the QoS parameter configuration, and the obtained historical throughput and residual penalty factor, and the calculation formula of the target scheduling priority is as follows:

[0018]

[0019] wherein the QoS priority is a priority parameter corresponding to 5QI; and the residual delay penalty factor is a delay budget residual time, and the less the residual time is, the higher the score is.

[0020] In a second aspect, an electronic device is provided, comprising: a memory configured to store executable instructions; and a processor configured to execute the executable instructions stored in the memory to implement the resource scheduling optimization method of the intelligent power distribution terminal.

[0021] In a third aspect, the embodiment of the present application provides a computer readable storage medium storing executable instructions, which are used to cause a processor to execute the executable instructions to implement the resource scheduling optimization method of the intelligent power distribution terminal.

[0022] The resource scheduling optimization method of the intelligent power distribution terminal provided by the embodiment of the present application firstly acquires the current number of online users of a cell in response to an access request initiated by a UE; determines whether the current number of online users reaches a preset maximum number of activated users of the cell; when it is determined that the current number of online users does not reach the preset maximum number of activated users of the cell, further determines whether the UE is a power terminal; when it is determined that the UE is a power terminal, the UE reports a PDU session establishment request to a core network, the core network performs authentication and service parameter determination, and issues a PDU session establishment command to a base station; the base station calculates a target scheduling priority of the UE based on QoS parameter configuration and channel quality; the base station determines whether the target scheduling priority is lower than that of other power terminals; when it is determined that the target scheduling priority is lower than that of other power terminals, the UE is allowed to establish a PDU session and perform resource allocation. In this way, on the one hand, the service data of the power terminal can be normally and stably uploaded and received, and service can also be provided for other mobile phone users; on the other hand, the wireless backhaul base station is used to realize the function of intelligent meter reading, which improves the signal environment of the power terminal in a poor signal coverage environment such as a basement or a remote mountain area, and improves the online rate of the power terminal, compared with the existing method of inserting a card into the power terminal; meanwhile, the problem that a macro station cannot guarantee stable transmission of service data when the number of access users of the power terminal is close to saturation is solved. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 is a structural schematic diagram of a data wireless backhaul system of an intelligent power distribution terminal provided by the embodiment of the present application;

[0024] Figure 2 is a flow schematic diagram of a resource scheduling optimization method of an intelligent power distribution terminal provided by the embodiment of the present application;

[0025] Figure 3 is a flow schematic diagram of a resource scheduling method provided by the embodiment of the present application;

[0026] Figure 4 is a signaling flow schematic diagram of base station scheduling provided by the embodiment of the present application;

[0027] Figure 5 is a structural schematic diagram of an electronic device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to make the objects, technical solutions and advantages of the present application clearer, the following will further describe the present application in detail with reference to the drawings, and the described embodiments should not be regarded as limitation to the present application. All other embodiments obtained by those skilled in the art without creative labor shall fall within the scope of protection of the present application.

[0029] In the following description, "some embodiments" are referred to, which describe a subset of all possible embodiments, but it can be understood that "some embodiments" can be the same or different subsets of all possible embodiments, and can be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present application have the same meaning as understood by those skilled in the art to which the embodiments of the present application belong. The terms used in the embodiments of the present application are only for the purpose of describing the embodiments of the present application and are not intended to limit the present application.

[0030] The following illustrates an exemplary application of the resource scheduling optimization device of the intelligent power distribution terminal of the embodiments of the present application. The resource scheduling optimization device of the intelligent power distribution terminal provided by the embodiments of the present application can be implemented as a terminal or a server. In one implementation mode, the resource scheduling optimization device of the intelligent power distribution terminal provided by the embodiments of the present application can be implemented as various types of terminals such as a notebook computer, a tablet computer, a desktop computer, a mobile device, etc. In another implementation mode, the resource scheduling optimization device of the intelligent power distribution terminal provided by the embodiments of the present application can also be implemented as a server. The server can be a stand-alone physical server, a server cluster or a distributed system composed of multiple physical servers, a cloud server providing basic cloud computing services such as cloud service, cloud database, cloud computing, cloud function, cloud storage, network service, cloud communication, middleware service, domain name service, security service, content delivery network (CDN, Content Delivery Network), and big data and artificial intelligence platform, etc. The terminal and the server can be directly or indirectly connected through wired or wireless communication mode, which is not limited in the embodiments of the present application. The following will illustrate an exemplary application when the resource scheduling optimization device of the intelligent power distribution terminal is implemented as a server.

[0031] Referring to Figure 1 , Figure 1 FIG. 1 is a structural schematic diagram of the intelligent power distribution terminal data wireless backhaul system 10 provided by the embodiments of the present application. The intelligent power distribution terminal data wireless backhaul system provided by the embodiments of the present application at least includes a base station, a receiving unit, a covering unit, a power meter (i.e. other power terminal in the present application), a general user (i.e. UE in the present application), and a core network for establishing communication.

[0032] Figure 1The system used in the scheme, wherein the public network base station is an outdoor macro station, the receiving unit is a CPE module, a SIM card is inserted, and the CPE module is accessed to the outdoor macro station as a terminal, and the function is to forward data between the coverage unit and the macro station, and to establish a data transmission channel between the coverage unit and the outdoor macro station.

[0033] The coverage unit and the receiving unit are connected through an optical-electric composite cable, the coverage unit is an integrated 4G / 5G dual-mode full-network base station, and the coverage unit is responsible for the access and data service of the power terminal and other ordinary mobile phone users by establishing a cell.

[0034] The base station in the embodiment of the application can simultaneously support the access of the power terminal and the ordinary mobile phone user.

[0035] The embodiment of the application provides a resource scheduling optimization method of an intelligent power distribution terminal, which is applied to an intelligent power distribution terminal data wireless backhaul system, and refers to Figure 2 , Figure 2 The embodiment of the application provides a resource scheduling optimization method of an intelligent power distribution terminal, which is applied to an intelligent power distribution terminal data wireless backhaul system, and refers to Figure 2 The steps shown in the embodiment of the application will be described.

[0036] In step S210, the base station acquires the current number of online users of a cell in response to an access request initiated by the UE.

[0037] In some embodiments, the UE (User Equipment) initiates an access request, which is an initial operation of the UE trying to connect to a cell base station to obtain services. When a user opens a mobile phone, a tablet computer or the like, or the device enters a coverage area from a non-network coverage area, or the user starts a specific network application program, the UE sends an access request signal to the base station. In some embodiments, the access request contains various information, such as the identity of the UE (used for network authentication of the user), the type of service requested to access (such as voice call, data access, video streaming, power communication, etc.), and the communication capability supported by the UE (such as whether 5G is supported, the supported frequency band, etc.).

[0038] In some embodiments, the current number of online users of a cell refers to the number of user equipment that is within the coverage range of a specific cell at a certain moment and has successfully accessed and maintained a connection state. The base station, as the core management device of the cell, is responsible for real-time monitoring and statistics of the number. The base station tracks the connection state of the UE by signaling interaction with the accessed UE, so as to accurately acquire the number of online users.

[0039] In step S220, it is judged whether the current number of online users reaches a preset maximum number of activated users of the cell.

[0040] In some embodiments, the preset maximum number of active users of a cell refers to the maximum number of online user equipment that can be supported at the same time, which is determined based on the base station equipment performance, available wireless spectrum resources, signal processing capability, and quality of service standards considered during network planning of the cell, and is a preset fixed parameter.

[0041] For example, after evaluation and planning of the base station equipment and network resources of a cell, it is determined that the cell can provide network connection for 100 user equipment at the same time under the premise of ensuring a certain quality of service. Therefore, the preset maximum number of active users of the cell is 100. When the current number of online users of the cell approaches or reaches this preset value, the network may face a situation of resource shortage, and corresponding measures need to be taken, such as limiting new user access, adjusting resource allocation strategy, or expanding the network, to ensure the stability of the network and the quality of service.

[0042] Step S230, when it is determined that the preset maximum number of active users is not reached, it is further determined whether the UE is a power terminal.

[0043] In some embodiments, the power terminal refers to various user equipment applied in the field of power systems, such as smart meters, power monitoring terminals, and power distribution automation terminals, which undertake important tasks such as power data collection, transmission, and control.

[0044] In some embodiments, the base station mainly determines whether the UE is a power terminal according to the device identifier, service type identifier, or specific identification code carried in the access request signaling of the UE. For example, the power terminal carries a dedicated device type identifier in the request message according to specific protocol rules when accessing the network, and the base station can determine the type of the UE by analyzing these identifier information. In addition, the service type requested by the UE to access the network can also be used to assist in the determination. If the requested service is related to the power system (such as power data collection service), the possibility of the UE being a power terminal is further increased.

[0045] Step S240, when it is determined that the UE is the power terminal, the UE reports a PDU session establishment request to the core network, the core network performs authentication and service parameter determination, and issues a PDU session establishment command to the base station; the base station checks the QoS parameter configuration in the command.

[0046] In some embodiments, PDU (Protocol Data Unit) is a protocol data unit. After receiving the request, the core network authenticates the UE to verify whether the identity of the UE is legal and whether the UE has the right to access the network and use the requested service. At the same time, the core network determines the corresponding service parameters according to the request of the UE and the network strategy and resource situation, including the QoS parameters allocated for the PDU session.

[0047] In some embodiments, the QoS parameter can include ARP, packet loss rate, maximum bit rate, etc.

[0048] Step S250, the base station calculates the target scheduling priority of the UE based on the QoS parameter configuration and channel quality.

[0049] In some embodiments, the target scheduling priority is a priority identifier assigned to the UE according to the service type of the UE, the quality of service requirement, and the current load condition of the cell, etc.

[0050] Step S260, the base station determines whether the target scheduling priority is lower than other power terminals.

[0051] In the present application, the base station as a key device connecting the UE and the core network in the wireless communication network, is responsible for managing the wireless resource allocation and scheduling in a specific area (cell). The judgment object is the target scheduling priority of the UE (user equipment), which is determined by the network according to the service type of the UE, the quality of service (QoS) requirement, the user subscription information, etc., and is used to measure the relative importance of the UE in resource scheduling. At the same time, the target scheduling priority of the UE is compared with the scheduling priority of other power terminals.

[0052] Step S270, when it is determined that the target scheduling priority is lower than the other power terminals, the UE is allowed to establish a PDU session and perform resource allocation.

[0053] The resource scheduling optimization method of the intelligent power distribution terminal provided by the embodiment of the application first acquires the current number of online users of a cell in response to an access request initiated by a UE; determines whether the current number of online users reaches a preset maximum number of activated users of the cell; when it is determined that the preset maximum number of activated users is not reached, further determines whether the UE is a power terminal; when it is determined that the UE is a power terminal, the UE reports a PDU session establishment request to a core network, the core network performs authentication and service parameter determination, and issues a PDU session establishment command to a base station; the base station calculates a target scheduling priority of the UE based on a QoS parameter configuration and channel quality; the base station determines whether the target scheduling priority is lower than that of other power terminals; when it is determined that the target scheduling priority is lower than that of other power terminals, the UE is allowed to establish a PDU session and perform resource allocation. In this way, on the one hand, the service data of the power terminal can be normally and stably uploaded and received, and service can also be provided for other mobile phone users; on the other hand, the function of intelligent meter reading is realized by using a wireless backhaul base station, the signal environment of the power terminal in a poor signal coverage area such as a basement or a remote mountainous area is improved, and the online rate of the power terminal is improved compared with the existing method of inserting a card into the power terminal; meanwhile, the problem that a macro station cannot guarantee stable transmission of service data when the number of access users of the power terminal approaches saturation is also solved.

[0054] In some embodiments, the method further includes: when the current number of cell users reaches the preset maximum number of activated users of the cell, directly rejecting the access request of the current user.

[0055] In some embodiments, the method further includes: when it is determined that the target scheduling priority is higher than that of the other power terminals, releasing a data resource block, triggering a PDU session modification process, and performing lowering processing on the target scheduling priority; after it is determined that the modified scheduling priority is lower than that of the other power terminals, allowing the UE to establish a PDU session and perform resource allocation.

[0056] In some embodiments, the base station calculates the target scheduling priority of the UE based on the QoS parameter configuration and channel quality, including: calculating the target scheduling priority of the UE according to the channel quality of the UE, the QoS priority in the QoS parameter configuration, and the obtained historical throughput and residual penalty factor, and the calculation formula of the target scheduling priority is as follows:

[0057]

[0058] wherein the QoS priority is a priority parameter corresponding to 5QI; and the residual delay penalty factor is a delay budget residual time, and the less the residual time is, the higher the score is.

[0059] In the following, an exemplary application of the embodiment of the application in an actual application scenario will be described.

[0060] The base station using wireless backhaul indicates that the backhaul rate is limited, that is, the air interface resource of the cell is limited. When other ordinary mobile phone users access the cell and the base station is connected to a large number of power terminals, the access and uplink and downlink services of the ordinary terminals can impact the services of the power terminals, and affect the service stability of the power terminals. At the same time, the base station must ensure that all power terminals are stably connected to the cell and perform service data transmission, so the embodiment proposes a special resource scheduling method for power terminals and other mobile phone terminals in the cell, which can be seen from Figure 3 including:

[0061] Limiting the access priority: within the cell capacity range, if the online users of the power terminal have reached the maximum active users of the cell, new mobile phone terminals will not be allowed to access; in the case of simultaneous access, the access of the power terminal users is preferred.

[0062] Limiting the service priority: when the UE reports the PDU session establishment request to the core network, the core network authenticates the request and determines the service parameters, and issues the PDU session establishment command to the base station, the base station checks the QoS parameter configuration (ARP, packet loss rate, maximum bit rate, etc.) in the command, and according to the current physical resource occupation of the cell, the scheduling priority is calculated comprehensively, if it is higher than other power terminals, the scheduling priority is appropriately reduced, so that it is lower than other power terminals, to ensure the normal uploading of power terminal data, at the same time, it is considered that the current channel condition does not meet the service, the actual QoS parameter of the UE at this time is regarded as the QoS configuration that can be met by the base station, and is reported to the core network through the N2 message, triggering the PDU session modification process.

[0063] The application proposes a method for differentiating the scheduling of physical resources of power terminal users and ordinary terminals, and improves the stability of data transmission of the power terminal.

[0064] The application applies the base station using wireless backhaul to the intelligent meter reading technology, increases the flexibility of base station deployment, and reduces the cost of transmission construction.

[0065] The base station used in the application is a 4G / 5G full-network base station, which can provide communication services for other mobile phone users nearby while covering power terminals.

[0066] The above signaling process is shown in Figure 4 , and the dashed box is the special scheduling method of the base station for this case. If the scheduling priority is lower than that of other power terminals, the user is normally scheduled under the condition that the backhaul link is stable and not congested.

[0067] It should be noted that, in the embodiments of the present application, if the resource scheduling optimization method of the intelligent power distribution terminal is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of the present application can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for causing a terminal to execute all or part of the method described in the embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM, Read Only Memory), a magnetic disk or an optical disk, and various program code storage media. Thus, the embodiments of the present application are not limited to any particular hardware and software combination.

[0068] Correspondingly, the embodiments of the present application provide an electronic device, Figure 5 is a schematic diagram of the composition structure of the electronic device provided by the embodiments of the present application, as Figure 5 shown, the electronic device 500 at least includes: a processor 501 and a computer readable storage medium 502 configured to store executable instructions, wherein the processor 501 generally controls the overall operation of the electronic device 500. The computer readable storage medium 502 is configured to store instructions and applications executable by the processor 501, and can also cache data to be processed by the processor 501 and each module in the electronic device 500, and can be realized by a flash memory (FLASH) or a random access memory (RAM, Random Access Memory).

[0069] The embodiments of the present application provide a storage medium storing executable instructions, wherein the executable instructions are stored, and when the executable instructions are executed by a processor, the processor will execute the method provided by the embodiments of the present application, for example, the method shown in Figure 2 .

[0070] In some embodiments, the storage medium can be a computer-readable storage medium, such as a ferroelectric memory (FRAM), a read only memory (ROM), a programmable read only memory (PROM), an erasable programmable read only memory (EPROM), an electrically erasable programmable read only memory (EEPROM), a flash memory, a magnetic surface storage, an optical disk, or a compact disk read only memory (CD-ROM), and the like. It can also be various devices including one or any combination of the above memories.

[0071] In some embodiments, the executable instructions can be in the form of programs, software, modules, scripts, or code, written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages, and can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.

[0072] By way of example, the executable instructions can or can not correspond to a file in a file system, can be stored in a part of a file that holds other programs or data, such as one or more scripts stored in a hypertext markup language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files, such as files that store one or more modules, sub programs, or code portions. The executable instructions can be deployed to be executed on one electronic device or on multiple electronic devices that are located at one site or distributed across multiple sites and interconnected by a communication network.

[0073] The above description is only some embodiments of the present application, and is not intended to limit the protection scope of the present application. Any modification, equivalent replacement, and improvement within the spirit and scope of the present application shall be included in the protection scope of the present application.

[0074] It is to be understood that the terminology "one embodiment" or "an embodiment" used throughout this specification means that a particular feature, structure or characteristic described is included in at least one embodiment of the application. Therefore, appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily referring to the same embodiment. Furthermore, the particular features, structures or characteristics can be combined in any suitable manner in one or more embodiments. It is to be understood that the sequence of steps in the above-described various embodiments of the present application does not mean that the execution order of the steps is prior or posterior, and the execution order of the steps should be determined according to their functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The sequence of the above-described embodiments of the present application is only for description, and does not represent the advantages or disadvantages of the embodiments.

[0075] It should be noted that, in this document, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the recited element. In several embodiments provided by the present application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. The above-described apparatus embodiments are only illustrative, for example, the division of the units is only a logical function division, and actual implementation can have another division, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed.

[0076] The above description is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any skilled person in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A resource scheduling optimization method for an intelligent power distribution terminal, characterized in that, A wireless data backhaul system for intelligent power distribution terminals, the system comprising at least a base station, a user interface unit (UE), and a core network supporting simultaneous access by power terminals and mobile terminals; the method comprising: The base station responds to the access request initiated by the UE and obtains the number of currently online users in the cell; Determine whether the current number of online users has reached the preset maximum number of activated users for the community; If it is determined that the target has not been reached, then it is further determined whether the UE is a power terminal; When the UE is determined to be the power terminal, the UE reports a PDU session establishment request to the core network. The core network performs authentication and service parameter determination, and sends a PDU session establishment command to the base station. When it is determined that the UE is not the power terminal, the base station checks the QoS parameter configuration in the command; The base station calculates the target scheduling priority of the UE based on the QoS parameter configuration and channel quality. The base station determines whether the target scheduling priority is lower than that of other power terminals; When it is determined that the target scheduling priority is lower than that of the other power terminals, the UE is allowed to perform relevant services; When it is determined that the target scheduling priority is not lower than that of the other power terminals, the data resource block is released, the PDU session modification process is triggered, and the target scheduling priority is reduced; after it is determined that the modified scheduling priority is lower than that of the other power terminals, the UE is allowed to perform relevant services.

2. The method according to claim 1, characterized in that, The method further includes: When the number of current users in the cell reaches the preset maximum number of active users in the cell, the access request of the current user is directly rejected.

3. The method according to claim 1, characterized in that, The base station calculates the target scheduling priority of the UE based on the QoS parameter configuration and channel quality, including: Based on the UE's channel quality, the QoS priority in the QoS parameter configuration, and the obtained historical throughput and remaining latency penalty factor, the target scheduling priority of the UE is calculated. The calculation formula for the target scheduling priority is as follows: ; Among them, QoS priority is the priority parameter corresponding to 5QI; the remaining delay penalty factor is the remaining time of the delay budget, and the less the remaining time, the higher the score.

4. An electronic device, characterized in that, include: Memory, used to store executable instructions; The processor, when executing executable instructions stored in the memory, implements the resource scheduling optimization method for the intelligent power distribution terminal according to any one of claims 1 to 3.

5. A computer-readable storage medium, characterized in that, The device stores executable instructions, which, when executed by a processor, implement the resource scheduling optimization method for the intelligent power distribution terminal as described in any one of claims 1 to 3.

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