Resource scheduling optimization method and device for intelligent power distribution terminal, and storage medium

Abstract

The invention provides a resource scheduling optimization method and device for an intelligent power distribution terminal and a storage medium, and the method comprises the steps: obtaining the number of current online users of a cell in response to an access request initiated by UE; judging whether the number of current online users reaches the maximum number of activated users in a preset cell or not; if not, further judging whether the UE is a power terminal; when it is determined that the UE is the power terminal, the UE reports a PDU session establishment request to a core network, and the core network executes 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 the QoS parameter configuration and the channel quality; the base station judges whether the target scheduling priority is lower than that of other power terminals; and when it is determined that the target scheduling priority is lower than that of other power terminals, allowing the UE to perform related services.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to, but is not limited to, a resource scheduling optimization method, device, and storage medium for an intelligent power distribution terminal. Background Art

[0002] Smart meter reading technology is a new type of metering management approach that replaces traditional manual meter reading through automation, digitization, and networking. Its core approach is to automatically transmit data to a cloud platform through intelligent terminals (such as smart power terminals), enabling efficient and accurate usage monitoring, fee settlement, and abnormality alerts. It also allows users to query energy consumption in real time, optimize resource utilization, and help municipalities improve management efficiency and reduce labor costs. It is a critical infrastructure for smart cities and the digital transformation of energy.

[0003] The existing smart meter reading system data transmission methods are divided into the following two methods: Option 1: transforming the power terminal into a card-inserted integrated terminal to complete cell access by receiving the 4G / 5G signal from the macro station; Option 2: amplifying the macro station signal through a signal repeater and transmitting it to the power terminal in the basement.

[0004] However, the above-mentioned smart meter reading technology has the following disadvantages: 1) It does not take into account that when the power terminal is in a basement or remote mountainous area, the macro station signal coverage is weak or basically non-existent, and cannot support the access and data transmission of the power terminal; because there are situations where the macro station users are close to saturation and the number of power terminals is large; 2) It may not be able to meet the business data transmission needs of all power terminals, and the macro station does not consider the difference between power terminals and ordinary users, and cannot guarantee the stable transmission of power terminal data. Summary of the Invention

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

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

[0007] In a first aspect, an embodiment of the present invention provides a resource scheduling optimization method for an intelligent power distribution terminal, which is applied to a wireless data backhaul system for an intelligent power distribution terminal. The system includes at least a base station that supports simultaneous access of power terminals and mobile terminals, a UE, and a core network. The method includes:

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

[0009] Determine whether the number of current online users reaches the maximum number of activated users in the preset cell;

[0010] If it is determined that the condition has not been met, further 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] Calculating, by the base station, 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 perform resource allocation.

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

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

[0017] In some embodiments, the base station calculates the target scheduling priority of the UE based on the QoS parameter configuration and the 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 the remaining penalty factor, wherein the calculation formula of the target scheduling priority is as follows:

[0018]

[0019] Among them, QoS priority is the priority parameter corresponding to 5QI; the remaining delay penalty factor is the remaining time of the delay budget. The smaller the remaining time, the higher the score.

[0020] In a second aspect, an embodiment of the present invention provides an electronic device, comprising: a memory for storing executable instructions; and a processor for implementing the above-mentioned resource scheduling optimization method for the intelligent power distribution terminal when executing the executable instructions stored in the memory.

[0021] In a third aspect, an embodiment of the present invention provides a computer-readable storage medium storing executable instructions for causing a processor to execute the executable instructions to implement the above-mentioned resource scheduling optimization method for the intelligent power distribution terminal.

[0022] The resource scheduling optimization method for the intelligent distribution terminal provided in the embodiment of the present invention first responds to the access request initiated by the UE to obtain the current number of online users in the cell; determines whether the current number of online users has reached the preset maximum number of activated users in the cell; when it is determined that it has not reached the maximum number, 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 the core network, the core network performs authentication and service parameter determination, and sends a PDU session establishment command to the base station; 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 other power terminals, the UE is allowed to establish a PDU session and perform resource allocation. In this way, on the one hand, the present invention ensures that the business data of the power terminal can be uploaded and received normally and stably, and can also provide business services to other mobile phone users; on the other hand, the use of wireless backhaul base stations to realize the function of smart meter reading improves the signal environment of power terminals in areas with poor signal coverage such as basements and remote mountainous areas, compared with the existing method of simply inserting cards into power terminals, and increases the online rate of power terminals; at the same time, it also solves the problem that macro stations with nearly saturated number of power terminal access users cannot guarantee stable transmission of business data. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0024] Figure 2 This is a flow chart of a resource scheduling optimization method for an intelligent power distribution terminal provided by an embodiment of the present invention;

[0025] Figure 3 Schematic diagram of a resource scheduling method according to an embodiment of the present invention;

[0026] Figure 4 1 is a schematic diagram of a signaling flow for base station scheduling provided by an embodiment of the present invention;

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

[0028] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. The described embodiments should not be regarded as limiting the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

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

[0030] The following describes an exemplary application of the resource scheduling and optimization device for a smart power distribution terminal according to an embodiment of the present invention. The resource scheduling and optimization device for a smart power distribution terminal provided by the embodiment of the present invention can be implemented as a terminal or a server. In one implementation, the resource scheduling and optimization device for a smart power distribution terminal provided by the embodiment of the present invention can be implemented as various types of terminals, such as laptops, tablets, desktop computers, and mobile devices. In another implementation, the resource scheduling and optimization device for a smart power distribution terminal provided by the embodiment of the present invention can also be implemented as a server. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms. The terminal and server can be connected directly or indirectly via wired or wireless communication, which is not limited in the embodiment of the present invention. The following describes an exemplary application of the resource scheduling and optimization device for a smart power distribution terminal implemented as a server.

[0031] See also Figure 1 , Figure 1 Schematic diagram of the structure of a smart power distribution terminal data wireless backhaul system 10 provided in an embodiment of the present invention. This embodiment of the present invention provides a smart power distribution terminal data wireless backhaul system, which includes at least a base station, a receiving unit, a coverage unit, an electric meter (i.e., another electric power terminal in the present invention), a common user (i.e., a UE in the present invention), and a core network for establishing communications.

[0032] Figure 1In the system used in this solution, the public network base station is an outdoor macro station, and the receiving unit is a CPE module. A SIM card is inserted into the module and connected to the outdoor macro station as a terminal. Its function is to forward data between the coverage unit and the macro station and establish a data transmission channel between the coverage unit and the outdoor macro station.

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

[0034] The base station in the embodiment of the present invention can support access by both power terminals and ordinary mobile phone users.

[0035] The embodiment of the present invention provides a resource scheduling optimization method for an intelligent power distribution terminal, which is applied to a wireless data backhaul system for an intelligent power distribution terminal. Figure 2 , Figure 2 This is a flow chart of the resource scheduling optimization method for the intelligent power distribution terminal provided by the embodiment of the present invention, which will be combined with Figure 2 The steps shown are explained.

[0036] Step S210: The base station obtains the number of current online users in the cell in response to the access request initiated by the UE.

[0037] In some embodiments, a UE (User Equipment) initiates an access request as its initial attempt to connect to a cell base station to obtain services. When a user turns on a mobile phone, tablet, or other device, or when the device moves from an unavailable area to a covered area, or when the user launches a specific network application, the UE sends an access request signal to the base station. In some embodiments, the access request includes various information, such as the UE's identity (used by the network to authenticate the user), the type of service requested (e.g., voice calls, data access, video streaming, power communications), and the communication capabilities supported by the UE (e.g., whether it supports 5G and supported frequency bands).

[0038] In some embodiments, the number of currently online users in a cell refers to the number of user devices (UEs) within the coverage area of a specific cell at a given moment that have successfully connected and remain connected. As the core management device for the cell, the base station is responsible for monitoring and counting this number in real time. The base station exchanges signaling with connected UEs, tracking their connection status and thus accurately obtaining the number of online users.

[0039] Step S220: Determine whether the number of current online users reaches the preset maximum number of activated users in the cell.

[0040] In some embodiments, the preset maximum number of activated users in a cell refers to the maximum number of online user devices that can be supported simultaneously, which is determined based on factors such as the performance of the cell's base station equipment, available wireless spectrum resources, signal processing capabilities, and service quality standards considered during network planning. It is a preset fixed parameter.

[0041] For example, after evaluation and planning, a cell's base station equipment and network resources are determined to be capable of providing network connectivity for 100 user devices while maintaining a certain quality of service. Therefore, the preset maximum number of active users for this cell is 100. When the number of currently online users in the cell approaches or reaches this preset value, the network may face resource constraints, requiring appropriate measures such as restricting new user access, adjusting resource allocation strategies, or expanding network capacity to ensure network stability and service quality.

[0042] Step S230: When it is determined that the requirement is not met, further determining whether the UE is a power terminal.

[0043] In some embodiments, power terminals refer to various types of user equipment used in the power system field, such as smart meters, power monitoring terminals, distribution automation terminals, etc. These devices undertake important tasks such as power data collection, transmission and control.

[0044] In some embodiments, the base station primarily determines whether the UE is a power terminal based on information such as the device identifier, service type identifier, or specific identification code carried in the UE's access request signaling. For example, when accessing the network, the power terminal will carry a unique device type identifier in the request message according to specific protocol rules. The base station can determine the type of UE by parsing this identification information. In addition, the judgment can be supplemented by the type of service the UE requests access. If the requested service is related to the power system (such as a power data collection service), the possibility of the UE being a power terminal is further increased.

[0045] In 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 sends a PDU session establishment command to the base station; the base station checks the QoS parameter configuration in the command.

[0046] In some embodiments, a PDU (Protocol Data Unit) is a protocol data unit. After receiving the request, the core network authenticates the UE to verify its identity and authorization to access the network and use the requested service. Furthermore, based on the UE's request and network policies and resources, the core network determines the appropriate service parameters, including QoS parameters, for the PDU session.

[0047] In some embodiments, QoS parameters may 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 based on factors such as the service type of the UE, the quality of service requirement, and the current load status of the cell.

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

[0051] In this invention, a base station, a key device in a wireless communication network connecting UEs and the core network, is responsible for managing the allocation and scheduling of radio resources within a specific area (cell). The target scheduling priority of the UE (user equipment) is determined by the network based on factors such as the UE's service type, quality of service (QoS) requirements, and user subscription information. This priority is used to measure the relative importance of the UE in resource scheduling. The UE's target scheduling priority is also compared with the scheduling priorities of other power terminals.

[0052] Step S270: 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 perform resource allocation.

[0053] The resource scheduling optimization method for the intelligent distribution terminal provided in the embodiment of the present invention first responds to the access request initiated by the UE to obtain the current number of online users in the cell; determines whether the current number of online users has reached the preset maximum number of activated users in the cell; when it is determined that it has not reached the maximum number, 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 the core network, the core network performs authentication and service parameter determination, and sends a PDU session establishment command to the base station; 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 other power terminals, the UE is allowed to establish a PDU session and perform resource allocation. In this way, on the one hand, the present invention ensures that the business data of the power terminal can be uploaded and received normally and stably, and can also provide business services to other mobile phone users; on the other hand, the use of wireless backhaul base stations to realize the function of smart meter reading improves the signal environment of power terminals in areas with poor signal coverage such as basements and remote mountainous areas, compared with the existing method of simply inserting cards into power terminals, and increases the online rate of power terminals; at the same time, it also solves the problem that macro stations with nearly saturated number of power terminal access users cannot guarantee stable transmission of business data.

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

[0055] In some embodiments, the method also includes: when it is determined that the target scheduling priority is higher than the other power terminals, releasing the data resource block, triggering the PDU session modification process, and lowering the target scheduling priority; after determining that the modified scheduling priority is lower than 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 the 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 the remaining penalty factor, wherein the calculation formula of the target scheduling priority is as follows:

[0057]

[0058] Among them, QoS priority is the priority parameter corresponding to 5QI; the remaining delay penalty factor is the remaining time of the delay budget. The smaller the remaining time, the higher the score.

[0059] The following describes an exemplary application of an embodiment of the present invention in a practical application scenario.

[0060] The use of wireless backhaul by the base station indicates that the backhaul rate is limited, that is, the air interface resources of the cell are limited. When there are other ordinary mobile phone users accessing the cell and there are many power terminals connected to the base station, the access and uplink and downlink services of ordinary terminals may have an impact on the ongoing services of the power terminals, affecting the service stability of the power terminals. At the same time, the base station must ensure that all power terminals can stably access the cell and perform service data transmission. Therefore, this embodiment proposes a special resource scheduling method for power terminals and other mobile phone terminals in the cell, which can be seen in Figure 3 include:

[0061] Limit access priority: within the cell's capacity, if the number of online power terminal users has reached the maximum number of activated users in the cell, no new mobile terminal will be allowed to access; in the case of simultaneous access, power terminal users will be given priority.

[0062] Limit service priority: When the UE reports a PDU session establishment request to the core network, the core network authenticates the request and determines the service parameters, and sends a 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 comprehensively calculates its scheduling priority based on the physical resource occupancy of the current cell. If it is higher than other power terminals, its scheduling priority is appropriately lowered to be lower than other power terminals to ensure normal upload of power terminal data. At the same time, it is considered that the current channel conditions do not meet the needs of the service. The actual QoS parameters of the UE at this time are used as the QoS configuration that the base station can meet, and are reported to the core network through the N2 message, triggering the PDU session modification process.

[0063] The present invention proposes a method for differentially scheduling physical resources of power terminal users and ordinary terminals, thereby improving the stability of power terminal data transmission.

[0064] The present invention applies wireless backhaul base stations to intelligent meter reading technology, thereby increasing the flexibility of base station deployment and reducing transmission construction costs.

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

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

[0067] It should be noted that, in the embodiment of the present invention, if the resource scheduling optimization method for the above-mentioned 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 solution of the embodiment of the present invention, or the part that contributes to the relevant technology, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a number of instructions for enabling a terminal to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk. In this way, the embodiment of the present invention is not limited to any specific combination of hardware and software.

[0068] Correspondingly, an embodiment of the present invention provides an electronic device, Figure 5 FIG. 1 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 5 As shown, the electronic device 500 includes at least: 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 or processed by the processor 501 and various modules in the electronic device 500, which can be implemented using flash memory (FLASH) or random access memory (RAM).

[0069] An embodiment of the present invention provides a storage medium storing executable instructions, wherein the executable instructions are stored. When the executable instructions are executed by a processor, the processor will be caused to execute the method provided by the embodiment of the present invention, for example, Figure 2 The method shown.

[0070] In some embodiments, the storage medium can be a computer-readable storage medium, such as a ferroelectric random access 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 memory, an optical disc, or a compact disc read-only memory (CD-ROM); it can also be various devices including one or any combination of the above memories.

[0071] In some embodiments, executable instructions may be in the form of a program, software, software module, script, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may 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, executable instructions may, but need not necessarily, correspond to a file in a file system, may be stored as part of a file storing other programs or data, such as one or more scripts in a Hypertext Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinating files (e.g., files storing one or more modules, subroutines, or code portions). By way of example, executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located in one location, or on multiple electronic devices distributed across multiple locations and interconnected via a communication network.

[0073] The above description is merely an embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and scope of the present invention are included in the scope of protection of the present invention.

[0074] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that the specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present invention. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention. The serial numbers of the above-mentioned embodiments of the present invention are for description only and do not represent the advantages and disadvantages of the embodiments.

[0075] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method or device comprising 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 or device. In the absence of further restrictions, an element defined by the statement "comprises a..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, 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 merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A resource scheduling optimization method for an intelligent power distribution terminal, characterized in that: Applied to a wireless data backhaul system for intelligent power distribution terminals, the system includes at least a base station supporting simultaneous access of power terminals and mobile terminals, a UE, and a core network; the method includes: The base station obtains, in response to the access request initiated by the UE, the number of current online users in the cell; Determine whether the number of current online users reaches the maximum number of activated users in the preset cell; If it is determined that the condition has not been met, further determining whether the UE is a power terminal; 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; Calculating, by the base station, a 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 establish a PDU session and perform resource allocation.

2. The method according to claim 1, characterized in that The method further comprises: When the number of users in the current cell reaches the preset maximum number of activated 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 method further comprises: When it is determined that the target scheduling priority is higher than the other power terminals, the data resource block is released, the PDU session modification process is triggered, and the target scheduling priority is lowered; After determining that the modified scheduling priority is lower than that of the other power terminals, the UE is allowed to perform related services.

4. The method according to claim 1, wherein The base station calculates, based on the QoS parameter configuration and the channel quality, a target scheduling priority of the UE, including: Calculate the target scheduling priority of the UE according to the channel quality of the UE, the QoS priority in the QoS parameter configuration, the obtained historical throughput, and the remaining penalty factor. The calculation formula of 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. The smaller the remaining time, the higher the score.

5. An electronic device, characterized in that: include: a memory for storing executable instructions; The processor is configured to implement the resource scheduling optimization method for the intelligent power distribution terminal according to any one of claims 1 to 4 when executing the executable instructions stored in the memory.

6. A computer-readable storage medium, characterized in that Executable instructions are stored, which are used to cause the processor to execute the executable instructions to implement the resource scheduling optimization method of the intelligent distribution terminal according to any one of claims 1 to 4.

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