A hierarchical power consumption management and control method based on a 5G access management platform

Abstract

The application discloses a hierarchical power consumption management and control method based on a 5G access management platform, relates to the technical field of 5G communication energy-saving control, and comprises the following steps: collecting operation state information of a communication device; constructing a communication-energy consumption coupled power consumption decision index based on the operation state information, and dividing the operation state of the communication device into a high-performance communication level, an adaptive balance level and a low-power energy-saving level according to the power consumption decision index; generating a corresponding hierarchical power consumption control strategy by the 5G access management platform according to the power consumption level, and issuing the hierarchical power consumption control strategy to the communication device; and executing the hierarchical power consumption control strategy by the communication device adopting a multi-core processing architecture, and synchronously controlling instructions through an inter-core communication mechanism; and changing the communication service load and the network state according to the communication service load and the network state.The application realizes fine, stable and efficient power consumption management and control by combining five-dimensional state modeling, communication-energy consumption coupled decision, hierarchical control, anti-jitter mechanism and key service communication guarantee, and takes into account 5G performance and energy efficiency.

Description

Technical Field

[0001] This invention relates to the field of 5G communication energy-saving control technology, and in particular to a hierarchical power consumption control method based on a 5G access management platform. Background Technology

[0002] With the gradual application of 5G communication in industrial terminals, mobile devices, and IoT scenarios, terminal devices need to simultaneously support multiple types of communication services. In actual operation, these services often coexist concurrently, and the network environment is constantly changing. To meet the requirements of high bandwidth and low latency, communication modules, processors, and related interfaces typically need to maintain a high operating state for extended periods, directly leading to a continuous increase in overall device power consumption. Existing technologies manage devices through preset energy-saving strategies, and some solutions make simple adjustments based on service conditions. However, overall, most methods still rely on fixed rules or single state parameters for control, lacking unified analysis of multiple operating states. The connections between various control links are weak, resulting in limited adaptability in situations with multiple services overlapping and frequent network changes.

[0003] Existing power consumption management methods generally suffer from the following limitations: First, they lack multi-dimensional state modeling capabilities. Most solutions only focus on a few operating parameters for power consumption adjustment, failing to uniformly model and comprehensively analyze communication service load, network link quality, equipment operating status, and energy consumption status. This makes it difficult to reflect the synergistic influence between different factors, resulting in imprecise power consumption decisions. Second, power consumption control mechanisms are imperfect. Existing technologies still rely on preset rules or simple thresholds for control. When service load changes rapidly or network status fluctuates significantly, response delays or unreasonable adjustments are likely to occur. Especially during network handover, cell reselection, or link instability, power consumption strategies are prone to frequent changes, which can negatively impact the stability and reliability of equipment operation. Third, they lack hierarchical control mechanisms. Most existing technologies do not have clear hierarchical mechanisms, making it difficult to differentiate adjustments based on different operating states. This can easily lead to excessive energy saving or insufficient resource utilization. Furthermore, existing solutions generally lack a unified policy generation, distribution, and feedback optimization mechanism based on the access management platform, and do not fully consider the collaborative control issues during multi-core execution. Overall, it is difficult to achieve stable and efficient power consumption management. Summary of the Invention

[0004] In view of the aforementioned existing problems, the present invention is proposed.

[0005] Therefore, this invention provides a hierarchical power consumption control method based on a 5G access management platform, which solves the problems of insufficient multi-dimensional state modeling capabilities, imperfect power consumption control mechanisms, and lack of hierarchical control mechanisms.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a hierarchical power consumption control method based on a 5G access management platform, comprising, Collect operational status information of communication equipment; Based on the operating status information, a power consumption decision index coupled with communication and energy consumption is constructed, and the operating status of communication equipment is divided into high-performance communication level, adaptive balance level and low power consumption energy-saving level according to the power consumption decision index. The 5G access management platform generates corresponding hierarchical power control policies based on power consumption levels and distributes these policies to communication devices. The communication equipment employs a multi-core processing architecture to execute a hierarchical power consumption control strategy and synchronizes control commands through an inter-core communication mechanism. Based on changes in communication service load and network status, power consumption levels and hierarchical power consumption control strategies are updated in real time within adjacent control cycles. The execution results of the hierarchical power consumption control strategy are monitored and evaluated, and performance-energy efficiency feedback information is generated and uploaded to the 5G access management platform.

[0007] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the collection of communication equipment operating status information includes: The communication access status vector, service load status vector, network quality status vector, energy consumption status vector, and equipment operation status vector are collected according to a fixed sampling period. The collected operational status information is standardized and a comprehensive vector is constructed.

[0008] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the step of constructing a communication-energy consumption coupled power consumption decision index based on operating status information, and classifying the operating status of communication equipment into high-performance communication level, adaptive balance level, and low-power energy-saving level according to the power consumption decision index includes: Based on the comprehensive state vector, extract the vectors of service load, network quality, energy consumption status and equipment operation status, and construct a comprehensive power consumption decision index. Based on the relationship between the comprehensive power consumption decision index and the preset threshold, the operating status of communication equipment is divided into high-performance communication level, adaptive balance level and low power consumption energy-saving level.

[0009] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the step of generating corresponding hierarchical power consumption control strategies by the 5G access management platform according to power consumption levels includes: The 5G access management platform pre-builds a set of hierarchical power consumption control strategies, selects the corresponding hierarchical power consumption control strategy according to the current power consumption level through a mapping relationship, and generates the corresponding set of control parameters. The strategy is constrained by combining the range of communication services retained under different power consumption levels, so as to achieve graded power consumption control that takes into account both communication performance and energy efficiency.

[0010] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the step of distributing the hierarchical power consumption control strategy to the communication equipment includes: By establishing a secure communication channel, the hierarchical power consumption control strategy and control parameter set are encapsulated and sent to the communication device. After verification and execution on the device side, the execution result is fed back to the 5G access management platform.

[0011] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the communication device employs a multi-core processing architecture to execute the hierarchical power consumption control strategy, including: The communication equipment executes a hierarchical power consumption control strategy based on a multi-core processing architecture, and achieves coordinated control of each core through task allocation and dynamic resource scheduling. It also performs joint adjustments to the communication module, interface, and sleep mode, and collects the operating status during the execution process and feeds it back to the 5G access management platform.

[0012] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the step of synchronizing control commands through an inter-core communication mechanism includes: Control commands are distributed to each processing core through an inter-core communication mechanism and executed synchronously. After each core has completed its execution, the synchronization status is fed back. The management and control core performs unified scheduling and updates to ensure that control commands are consistently effective across multiple cores.

[0013] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the step of updating the power consumption level and hierarchical power consumption control strategy in real time within adjacent control cycles according to changes in communication service load and network status includes: Based on changes in communication service load and network status, the comprehensive state vector is periodically updated and the power consumption decision index is recalculated to obtain candidate power consumption levels. By introducing a level change determination mechanism to suppress frequent handovers, and imposing constraints on power consumption levels under the network handover sensitive window, the actual power consumption level is determined. The 5G access management platform generates new hierarchical power consumption control strategies and control parameters based on the updated power consumption levels, and distributes them to communication equipment for smooth adjustment and execution.

[0014] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the monitoring and evaluation of the execution results of the hierarchical power consumption control strategy includes: By collecting operational status data after the strategy is executed, a performance and energy efficiency feedback vector is constructed. The effectiveness of the hierarchical power control strategy is determined by evaluating the execution results of the strategy in conjunction with the current power consumption level.

[0015] As a preferred embodiment of the hierarchical power consumption control method based on a 5G access management platform described in this invention, the step of generating performance-energy efficiency feedback information and uploading it to the 5G access management platform includes: Performance-energy efficiency feedback information is constructed based on performance and energy efficiency feedback vectors, and then encapsulated, verified, and uploaded to the 5G access management platform.

[0016] The beneficial effects of this invention are as follows: By constructing a five-dimensional comprehensive state vector encompassing communication access, service load, network quality, energy consumption status, and device operation, this invention achieves unified modeling and comprehensive analysis of device operating status. Based on communication-energy consumption coupled power consumption decision indicators, it quantifies and determines device operating requirements, improving the precision of power consumption control. By introducing network handover sensitive window constraints, a level change anti-jitter mechanism, and a minimum communication set keep-alive strategy for critical services, it effectively avoids frequent handovers and communication interruptions, improving system stability and reliability. Furthermore, it constructs a hierarchical power consumption control system, relying on the 5G access management platform to achieve policy generation, distribution, and feedback optimization. Combined with a multi-core collaborative execution mechanism, it effectively reduces energy consumption while ensuring communication performance, achieving synergistic optimization of performance and energy efficiency. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a flowchart of a hierarchical power consumption control method based on a 5G access management platform in Example 1.

[0019] Figure 2 This is a diagram of the dynamic power consumption level update and oscillation suppression mechanism in Example 1.

[0020] Figure 3 This is a diagram of the operation status acquisition and integrated status vector construction in Example 1. Detailed Implementation

[0021] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0022] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0023] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0024] Example 1, referring to Figures 1-3 This is the first embodiment of the present invention, which provides a hierarchical power consumption control method based on a 5G access management platform, including the following steps: S1. Collect the operating status information of communication equipment.

[0025] S1.1: Collect communication access status vector, service load status vector, network quality status vector, energy consumption status vector, and equipment operation status vector according to a fixed sampling period.

[0026] Specifically, the communication equipment follows a fixed sampling period. Perform a complete data collection on its own operating status; In each sampling period Inside, the management and control core initiates a data acquisition task, reading status parameters from the communication module, power management unit, battery management module, operation monitoring interface, and industrial interface management unit, and aligning the timestamps of each status parameter. Read the current access information of the communication module, including: the current access network type, the current network registration status, the current bearer connection status, and whether it is currently in the process of network switching; Define the communication access state vector for: ; in, Refers to the current network standard, coded as These represent 5G SA, 5G NSA, 4G, and 3G, respectively. This refers to the current network registration status. This refers to the current state of the bearer connection. This refers to the current network switching status; Network registration status , respectively representing unregistered and registered and able to communicate; Network switching status , respectively represent the non-transitioning state and the transition process; After completing the communication access status acquisition, read the service load data within the current control cycle and define the communication service load vector. for: ; in, This refers to the average uplink speed. This refers to the average downlink speed. Refers to the business type code. Refers to business priority. This refers to the number of active terminals; Furthermore, define the total business rate. for:

[0027] After collecting service load data, further data on current wireless link quality is collected, and a network quality vector is defined. for: ; in, Signal strength Network latency refers to the time between connections. Packet loss rate; After acquiring the communication and network status, the current energy consumption status of the acquisition device is determined, and an energy consumption state vector is defined. for: ; in, This refers to the current average power consumption of the entire system. Refers to the battery's state of charge. Refers to the current power supply method. This refers to the current remaining available energy; The battery state of charge Power supply method is read directly from the battery management module. The following encoding is used: ; in, This indicates that the device is under external power supply. This indicates that the device is in battery powered mode; Calculate the estimated battery life in battery-powered mode. : : Further data collection of the device's internal operating status is used to define the device operating status vector as follows: ; in, Refers to the core workload of communication processing. Refers to the management and control of the core load. Refers to memory usage. This refers to the working status of the communication module. Refers to the working status of the industrial interface; Communication module working status The following encoding is used: ; in, Refers to the fully active state. Refers to an intermittent active state. Refers to a dormant state.

[0028] S1.2: Standardize the collected operational status information and construct a comprehensive vector.

[0029] Specifically, all collected parameters are standardized, and various state variables are integrated into a unified comprehensive state vector. : ; in, Refers to the comprehensive state vector in the t-th control cycle. Refers to the normalized vector of communication access state. Refers to the normalized vector of workload. Refers to the network quality normalized vector. Energy consumption state normalized vector, Refers to the normalized vector of equipment operating status; The management and control core will integrate the state vector. The data is encapsulated into a status message according to a preset data structure and stored in the status cache area, while also being uploaded to the 5G access management platform.

[0030] S2. Based on the operating status information, construct a power consumption decision index that couples communication and energy consumption, and classify the operating status of communication equipment into high-performance communication level, adaptive balance level and low power consumption energy-saving level according to the power consumption decision index.

[0031] S2.1: Based on the comprehensive state vector, extract the service load, network quality, energy consumption status and equipment operation status vectors and construct a comprehensive power consumption decision index.

[0032] Specifically, based on the comprehensive state vector Extract the normalized vector of business load. Network quality normalization Energy consumption state normalization vector and the normalized vector of device operating status ; Based on the normalized vector of communication service load Calculate the business demand index : ; in, Refers to the normalized total business rate. Refers to the normalized business priority. This refers to the normalized number of active terminals; Based on network quality normalization vector Calculate the link maintenance stress index : ; in, This represents the normalized signal strength. This represents the normalized network latency. This represents the normalized packet loss rate; Based on energy consumption state normalization vector Calculate the energy constraint index : ; in, This represents the normalized state of charge of the battery. This represents the normalized average power consumption of the entire system. Based on the normalized vector of device operating status Calculate the equipment load index : ; in, Refers to the normalized CPU load of the communication core. This refers to the normalized CPU load of the management core. Refers to the normalized memory usage rate. This refers to the normalized operating status of the communication module. Refers to the normalized working state of the industrial interface; According to the business demand index Link maintenance pressure index Energy Constraint Index and equipment load index Constructing comprehensive power consumption decision metrics : ; The comprehensive power consumption decision index It is used to characterize the coupling relationship between current communication needs, link pressure, device load and energy constraints.

[0033] S2.2: Based on the relationship between the comprehensive power consumption decision index and the preset threshold, the operating status of communication equipment is divided into high-performance communication level, adaptive balance level and low power consumption energy-saving level.

[0034] Specifically, the comprehensive power consumption decision index Mapped to discrete, executable power levels : ; in, Refers to high-performance communication level, Refers to the adaptive balance level. Refers to low power consumption and energy-saving level. and These refer to the high-performance threshold and the energy-saving threshold, respectively. It should be noted that the threshold and The preset threshold values ​​are as follows: , The power consumption level can be determined using existing power consumption classification techniques that couple communication service load, link quality, and energy state and perform end-to-end energy efficiency verification. Specifically, in typical 5G industrial IoT or mobile terminal application scenarios, at least 300 sets of operating state sequences covering high-load video backhaul, medium-load data interaction, and low-power standby conditions are collected. A comprehensive power consumption decision index is then calculated for each set of state vectors. The evaluation uses corresponding performance indicators, including business throughput, latency compliance rate, AI interpretation accuracy or task completion success rate, and energy efficiency, such as unit business energy consumption and battery life, as joint assessment criteria. It statistically analyzes the high-performance level coverage, energy-saving level false entry rate, and level switching frequency under different threshold combinations. Based on a comprehensive trade-off between communication reliability, energy sustainability, and control stability, it selects a threshold range that maximizes energy efficiency benefits while ensuring the quality of critical business services. Furthermore, through Pareto optimization analysis of false switching rate and missed service rate, it determines the optimal operating point, with the preferred value being... , It is the optimal engineering threshold determined in a real 5G multi-service hybrid deployment scenario through large-scale state data modeling, level behavior validity verification, and joint calibration of performance-energy efficiency-stability triple constraints. It ensures that high-performance communication resources can be reliably activated to meet critical business needs, while also entering low-power mode in a timely manner to effectively suppress idle energy consumption and avoid service degradation or energy waste caused by threshold mismatch.

[0035] S3. The 5G access management platform generates corresponding hierarchical power control strategies based on power consumption levels and distributes these hierarchical power control strategies to communication equipment.

[0036] S3.1: The 5G access management platform pre-builds a set of hierarchical power consumption control strategies, selects the corresponding hierarchical power consumption control strategy according to the current power consumption level through mapping relationship, and generates the corresponding set of control parameters.

[0037] Specifically, a hierarchical power consumption control strategy set S is pre-built in the 5G access management platform: ; in, Control strategies that indicate high-performance communication levels The control strategy represents the adaptive balance level. Control strategies that indicate low power consumption and energy-saving levels; It should be noted that when the communication equipment is at a high-performance communication level... At that time, a control strategy is adopted. Prioritizing the performance of services, such as in high-load scenarios involving video transmission, remote control, or big data uploads, communication modules... Maintaining full activity, the processor operates in high-frequency mode, data transmission cycle Minimize the interval while keeping the industrial interface fully open. Control strategy It can ensure that the requirements of high throughput, low latency and high real-time performance are met, but the corresponding power consumption is relatively high, making it suitable for scenarios with external power supply or sufficient power. When the communication equipment is in an adaptive balance level At that time, a control strategy is adopted. A dynamic trade-off is made between performance and energy consumption, such as in regular data acquisition or medium-load communication scenarios, where communication modules... It can switch between fully active and intermittently active modes. The processor frequency is dynamically adjusted according to the workload. The data transmission cycle for non-critical services is appropriately extended, and some industrial interfaces enter a low-frequency wake-up state. Control strategy It can reduce unnecessary energy consumption while ensuring the normal operation of the main business, thus achieving a balance between performance and energy efficiency; When the communication equipment is in a low power consumption energy-saving mode At that time, a control strategy is adopted. With the primary goal of extending battery life, such as in battery-powered scenarios with low workloads, communication modules... When entering intermittent or sleep mode, the processor frequency drops to a low-power level, non-critical business tasks are postponed or sent in batches, and only the minimum set of critical business communications is retained. and the sending period Implement restrictions and control strategies It can significantly reduce overall power consumption and effectively extend device battery life; Based on the current power consumption level Select the corresponding hierarchical power consumption control strategy from the strategy set S. : ; in, This is the mapping function from level to policy; when hour, when hour, ;when hour, ; Based on the selected control strategy Generate the corresponding set of control parameters. : ; in, This refers to the processor's operating frequency or load limit parameter. This refers to the operating frequency or activation status parameter of the communication module. This refers to the data transmission cycle or communication wake-up cycle. Refers to the control parameters of the industrial interface operating status. This refers to the device's sleep mode control parameters.

[0038] Based on the selected control strategy and the corresponding set of control parameters Different parameter value ranges or control methods can be set according to different power consumption levels. The corresponding measures may include the following: When the selected control strategy For high-performance communication strategies At that time, the set of control parameters The corresponding countermeasure is to adjust the processor's operating frequency parameter. Set to high-frequency operation or a higher load limit to ensure data processing capacity; adjust the communication module parameters. Set to full active state to maintain continuous communication capability; adjust data transmission period parameters. Set to a shorter cycle or real-time transmission mode to meet low-latency service requirements; adjust industrial interface control parameters. Set to fully enabled state to keep relevant peripherals working; adjust the sleep mode parameters. Set to disable entering low-power sleep mode, thereby prioritizing the continuous execution of high-throughput, high-real-time communication services; When the selected control strategy For adaptive balancing strategy In this case, the corresponding countermeasure for the control parameter set is: adjust the processor operating frequency parameter. Set to the intermediate frequency setting, or dynamically adjust the upper limit according to the load; adjust the communication module parameters. Set to intermittent active state to reduce idle power consumption while maintaining communication capability; adjust data transmission period parameters. The transmission cycle is set to dynamically adjust based on service priority, prioritizing critical services and appropriately delaying general services; the industrial interface control parameters are adjusted. Set to partially enabled or wake-up on demand; adjust sleep mode parameters. Set to shallow sleep mode to enter a lightweight energy-saving mode during idle periods, thus balancing performance and energy consumption; When the selected control strategy For adaptive balancing strategy In this case, the corresponding countermeasure for the control parameter set is: adjust the processor operating frequency parameter. Reduce the frequency to a lower level, or limit the processing resources used by non-critical threads; adjust the communication module parameters. Set to low-frequency wake-up, intermittent operation, or sleep / standby mode; set data transmission period parameters. Extend to batch transmission or periodic keep-alive mode, retaining only the data transmission corresponding to the minimum critical business communication set; and adjust industrial interface control parameters. Configure the interface to disable unnecessary interfaces and keep only the necessary interfaces in listening state; set the sleep mode parameter. Configure it to allow entry into low-power sleep mode to extend battery life; When the device detects a low battery state of charge, low service priority, and relatively stable current network link, it can automatically select a low-power energy-saving strategy. The system generates low-frequency processor parameters, module intermittent wake-up parameters, extended transmission cycle parameters, and deep sleep enable parameters accordingly. When the device detects high-priority services, increased link pressure, or is in a critical control phase, it can switch to a high-performance communication strategy. The processor frequency was increased accordingly, the communication module was kept fully active, the transmission cycle was shortened, and the sleep mode was turned off. S3.2: Constrain the strategy by combining the communication service retention range under different power consumption levels, so as to achieve graded power consumption control that takes into account both communication performance and energy efficiency.

[0039] Specifically, further, the communication service retention range is defined for different power consumption levels, and the communication service retention range is used as a constraint for generating the hierarchical power consumption control strategy to ensure that the critical data transmission link is not interrupted after the main power supply is interrupted, thereby achieving refined energy efficiency management. In low power consumption energy saving level Next, construct the minimum communication set for key business functions. : ; Among them, a refers to the heartbeat keep-alive signal, b refers to the fault alarm message, c refers to the critical status feedback, and d refers to the control confirmation response. When the device is in low power saving mode At that time, control strategy Forced to maintain a minimum set of communications for critical business operations The corresponding communication activity is in an available state, and other non-critical business operations are executed with delayed sending, batch sending, compressed sending, or suspension. The set of control parameters under the low power consumption and energy-saving level Minimum communication set for critical business Constraints, in which the communication module remains supported. The lowest communication activation state, sending period parameters according to Limit the minimum communication requirements, and non-critical business scheduling threads enter a suspended or low-frequency wake-up state; When the device is in adaptive balance level At that time, control strategy Retain the minimum communication set for critical business operations And some time-sensitive services, and dynamically adjust the sending cycle of non-critical services according to the current service load and link status; When the device is in high-performance communication level At that time, control strategy Open all communication services, prioritize high throughput, low latency and high real-time service requirements, meet high throughput, low latency and high real-time service requirements under external power supply or sufficient energy conditions, and meet the average power consumption design constraints of the whole machine under normal working mode. The generated hierarchical power consumption control strategy and the corresponding set of control parameters Output.

[0040] S3.3: By establishing a secure communication channel, the hierarchical power consumption control strategy and control parameter set are encapsulated and sent to the communication device. After verification and execution on the device side, the execution result is fed back to the 5G access management platform.

[0041] Specifically, the 5G access management platform receives a hierarchical power consumption control strategy. and the corresponding set of control parameters ; The 5G access management platform establishes a policy distribution channel based on the terminal device type and network access information; The policy distribution channels include: base station control link, core network control link, and terminal access link; The channel establishment adopts a secure authentication and encryption mechanism to ensure that the control policy reliably reaches the device end; Hierarchical power control strategy and control parameter set Encapsulated into a device-recognizable data packet K; The encapsulated content includes: policy identifier, control parameter field, timestamp, and version number; Before applying the policy, the communication device performs a consistency check on the policy identifier, timestamp, and version number. Depending on the number and type of devices, a unicast or multicast delivery strategy may be adopted. After the policy is applied, the device will return the execution status and exception information to the 5G access management platform.

[0042] S4. The communication equipment adopts a multi-core processing architecture to execute a hierarchical power consumption control strategy and synchronizes control commands through an inter-core communication mechanism.

[0043] S4.1: Communication devices implement hierarchical power consumption control strategies based on a multi-core processing architecture, and achieve collaborative control of each core through task allocation and dynamic resource scheduling.

[0044] Specifically, communication equipment receives tiered power consumption control strategies from the 5G access management platform. and the corresponding set of control parameters ; The communication equipment adopts a multi-core architecture to execute control strategies, including: a communication processing core, a management and control core, and an auxiliary core; According to the hierarchical power consumption control strategy In Parameter allocation tasks: The communication processing core prioritizes high-performance communication tasks, the management and control core performs strategy parsing, status acquisition and control parameter application, and the auxiliary core handles low-priority or intermittent tasks; Multi-core processors dynamically adjust frequency and load: communication core based on Adjust the operating frequency to meet high performance or energy-saving requirements; manage the core to limit the maximum load according to the strategy; CPU adjustment adopts dynamic voltage and frequency adjustment or inter-core load balancing technology.

[0045] S4.2: It also performs joint adjustments to the communication module, interface, and sleep mode, and collects the operating status during the execution process and feeds it back to the 5G access management platform.

[0046] Specifically, according to , , , Parameters, the communication device performs the following operations: Communication module: Set to fully active, intermittently active, or sleep mode, and adjust the transmission cycle. Achieve power consumption optimization; Industrial interface: according to Control interface to wake up or hibernate; Hibernation mode: based on Enable or disable low-power sleep mode; Multi-core processors use a scheduler to enable module control and core tasks to be executed in parallel, ensuring timely response and optimal power consumption. During execution, the communication equipment collects the comprehensive state vector for the next control cycle in real time. The integrated state vector is then encapsulated and uploaded to the 5G access management platform to form a closed-loop feedback.

[0047] S4.3: Control commands are distributed to each processing core through an inter-core communication mechanism and executed synchronously. After each core has completed its execution, the synchronization status is fed back.

[0048] Specifically, when the communication device receives the hierarchical power consumption control strategy... and control parameter set Then, the management and control core initializes the inter-core communication mechanism, establishes a shared memory area to store control instructions and execution status information, and configures inter-core interrupt and synchronization queues to ensure the real-time transmission and sequential consistency of control instructions between processing cores. The management and control core is based on a hierarchical power consumption control strategy. and control parameter set Generate control instructions for each processing core. The control instruction for the i-th processing core is represented as follows: ; in, This indicates the control command distributed to the i-th processing core at time t. This represents the instruction generation function for the i-th processing core; The control commands are written to shared memory through an inter-core communication mechanism and trigger an inter-core interrupt to notify the corresponding processing core to read them. Each processing core receives control commands Then, the corresponding control operation is executed, in which the communication processing core is based on , and Adjust the processor's operating frequency, communication module status, and data transmission cycle; manage and control the core to execute strategy parsing, status acquisition, and global scheduling control; assist the core to execute low-priority task scheduling and periodic wake-up control; and ensure that control commands are consistently effective across all cores by using semaphores or interrupt mechanisms to achieve synchronous execution. After each processing core completes the execution of the control instructions, an execution confirmation flag is generated. And write to shared memory; the inter-core synchronization state is represented as: ; in, This indicates the inter-core synchronization state at time t. This represents the execution confirmation flag for the i-th processing core, where n represents the number of processing cores. This indicates that all processing cores have completed the synchronous execution of the current control command.

[0049] S4.4: The management and control core performs unified scheduling and updates to ensure that control commands are consistently effective across multiple cores.

[0050] Specifically, the management and control core determines the synchronization status between cores. The system determines the execution result of the control policy. If there are any incomplete, time-out, or abnormal situations, it maintains the effective policy of the previous control cycle or switches to the preset protection policy, and records the abnormal information and reports it to the 5G access management platform. The management and control core is based on an updated hierarchical power consumption control strategy. and control parameter set Regenerate the control instructions for each processing core: ; It also synchronizes updates to each processing core through an inter-core communication mechanism, ensuring smooth switching and consistent control execution between high-performance communication level, adaptive balance level, and low-power energy-saving level.

[0051] S5. Based on changes in communication service load and network status, update the power consumption level and hierarchical power consumption control strategy in real time within adjacent control cycles.

[0052] S5.1: Based on changes in communication service load and network status, periodically update the comprehensive state vector and recalculate the power consumption decision index to obtain candidate power consumption levels.

[0053] Specifically, when the communication device executes the current hierarchical power consumption control strategy During the process, the management and control core follows a preset sampling cycle. Continuously collect operational status information for the new cycle and update the comprehensive state vector. ; The integrated state vector includes the updated service load vector. and network quality vector ; Based on the updated comprehensive state vector Recalculate the business demand index Link maintenance pressure index Energy Constraint Index and equipment load index And construct a new comprehensive power consumption decision index. ; ; Based on comprehensive power consumption decision indicators With preset threshold and Candidate power consumption levels were obtained. :

[0054] S5.2: Frequent handover is suppressed by introducing a level change determination mechanism, and the power consumption level is constrained under the network handover sensitive window to determine the actual power consumption level.

[0055] Specifically, to avoid frequent switching of power consumption levels caused by instantaneous fluctuations in communication service load or network status, a level change determination function is introduced. And map power consumption levels to ordered numerical functions. ,in, , , and define: ; Among them, when Furthermore, if the duration exceeds the preset time window, a power consumption level update is triggered. The threshold for level change; Furthermore, the management and control core is based on the communication access state vector. Determine if the communication device is in a network switching sensitive window: like If so, it is directly determined that the communication device is in the handover execution phase, which is a network handover sensitive window; If the current network registration status And the network registration status in the previous control period t-1 If so, it is determined that the communication device has just lost network registration and is in the network registration recovery or link reconstruction stage, which is a network handover sensitive window; If the current network type is detected If a change occurs within two or more consecutive sampling periods, it is determined that the communication equipment is performing cell reselection, which falls within a network handover sensitive window. If the current bearer connection status If the parameters indicate that the bearer connection has been released, interrupted, or is inactive, it is determined that the user plane link of the communication device is unstable and is in the link reconstruction phase, which is a sensitive window for network switching. The network handover sensitive window includes: cell reselection phase, handover preparation phase, handover execution phase, network registration and recovery phase, and link reconstruction phase; When communication equipment is in a network handover sensitive window, candidate power consumption levels are considered. By applying level constraints, the actual power consumption level can be obtained. ; The level constraints include: prohibiting the power consumption level from jumping from a high level to a low power consumption energy-saving level, or only allowing the power consumption level to be adjusted between the current level and the adjacent higher level; When candidate power consumption level Low power consumption energy saving level At the same time, maintain the power consumption level of the previous control cycle or adjust to the adaptive balance level; Within the network switching sensitive window, only lightweight power-saving actions that do not affect communication continuity are allowed to be performed; The lightweight energy-saving actions include: reducing the scheduling frequency of non-critical tasks, limiting the wake-up frequency of non-critical peripheral interfaces, and delaying the transmission of non-critical data. It also prohibits the execution of power control actions that cause the communication module to enter deep sleep, significantly prolong the communication wake-up cycle, or disable critical communication hold-up function modules; When a service priority is higher than the preset level, during network switching, registration recovery, or critical data backhaul, communication equipment is restricted from entering the low-power energy-saving level. Prioritizing communication stability; When a communication device is simultaneously in a network switching sensitive window and its current or candidate power consumption level is a low-power energy-saving level, the management control core will force the maintenance of the minimum communication set for critical services. The corresponding communication activity is in an active state, so as to form a coordinated control between the power consumption level constraint mechanism and the critical service keep-alive mechanism; It should be noted that the threshold for grade change The preset threshold value ranges from [value range to be filled in]. The power consumption level can be determined using existing power consumption classification techniques that couple communication service load, link quality, and energy state and perform end-to-end energy efficiency verification. Specifically, in typical 5G industrial IoT or mobile terminal application scenarios, at least 300 sets of operating state sequences covering high-load video backhaul, medium-load data interaction, and low-power standby conditions are collected. For each set of state vectors, the power consumption level difference between adjacent time points is calculated. And using the corresponding stability index and energy efficiency-performance joint index as the evaluation basis, statistical analysis was conducted on different... The study considers the number of invalid handovers, effective response delay, and steady-state maintenance capability at a given value. Based on a comprehensive trade-off between communication reliability, energy sustainability, and control stability, a threshold range is selected that ensures timely response to changes in real business needs while suppressing frequent oscillations. Furthermore, Pareto optimization analysis of the false handover rate and missed response rate is used to determine the optimal operating point, with the preferred value being [value missing]. It is the optimal engineering threshold determined in a real 5G multi-service hybrid deployment scenario through large-scale state data modeling, validity verification of level switching behavior, and joint calibration of performance-energy efficiency-stability triple constraints. It ensures that it can avoid frequent fluctuations in power consumption level caused by minor state disturbances, and make reliable and smooth level adjustments to continuous services or changes in energy consumption trends, effectively balancing response agility and operational stability.

[0056] S5.3: The 5G access management platform generates new hierarchical power consumption control strategies and control parameters based on the updated power consumption levels, and sends them to the communication equipment for smooth adjustment and execution.

[0057] Specifically, in determining the new power consumption level Subsequently, the 5G access management platform regenerates the hierarchical power consumption control strategy based on the mapping function. : ; And generate the corresponding set of control parameters. : ; The updated graded power control strategy and control parameter set It is sent to the communication device through the communication channel and executed synchronously through the multi-core processing architecture and inter-core communication mechanism; During the policy update process, the communication equipment performs smooth transition control on the differences between the old and new policies, and adopts a gradual adjustment method to switch the processor frequency, communication module status and sleep mode to avoid communication performance degradation due to policy changes.

[0058] S6. Monitor and evaluate the execution results of the hierarchical power consumption control strategy, generate performance-energy efficiency feedback information, and upload it to the 5G access management platform.

[0059] S6.1: Construct a performance and energy efficiency feedback vector by collecting operational status data after the strategy is executed.

[0060] Specifically, the updated hierarchical power consumption control strategy is implemented in the communication equipment. and control parameter set During the process, the management and control core continuously collects operational status data after the strategy is executed within the current control cycle, forming an execution status vector. : ; The execution state vector includes the business load state after the execution strategy is implemented. Network quality status Energy consumption status and equipment operating status ; Based on execution state vector Extract communication performance metrics and construct performance feedback vectors. : ; in, Refers to business throughput. Refers to the latency compliance rate. Packet loss control rate This refers to the success rate of task completion; Based on execution state vector Extract energy consumption-related indicators and construct an energy efficiency feedback vector. : ; in, Refers to unit business energy consumption. This refers to the change in the state of charge of a battery. This refers to average power consumption.

[0061] S6.2: Evaluate the execution results of the hierarchical power control strategy in conjunction with the current power consumption level to determine the effectiveness of the strategy execution.

[0062] Specifically, based on performance feedback vectors and energy efficiency feedback vector Combined with the current power consumption level The corresponding control objectives are used to evaluate the execution results of the hierarchical power consumption control strategy: If business throughput Compared to the previous period, the latency has decreased significantly, and the latency compliance rate has also improved. If the synchronization rate decreases, the communication performance is deemed substandard. If the task completion success rate Decline, and packet loss control rate If the value decreases, it indicates an abnormality in the execution of critical business processes. If unit business energy consumption Significantly higher than typical energy efficiency levels or battery state-of-charge changes at current power consumption levels. If an unexpectedly rapid decline is observed, then the energy efficiency is deemed to have fallen short of expectations. If any of the conditions are met, then a hierarchical power consumption control strategy is determined. If the execution fails, the hierarchical power consumption control strategy is deemed to be executed effectively.

[0063] S6.3: Construct performance-energy efficiency feedback information based on performance and energy efficiency feedback vectors, and upload it to the 5G access management platform after encapsulation and verification.

[0064] Specifically, based on performance feedback vectors Energy efficiency feedback vector Current power consumption level and current graded power consumption control strategies Build performance-energy efficiency feedback information : ; in, This is a label indicating the policy execution status, with values ​​of either valid or invalid. Performance-Energy Efficiency Feedback Information The data is encapsulated according to the predefined data format of the 5G access management platform, and a timestamp and a unique device identifier are added. A lightweight integrity check is performed before uploading, and performance-energy efficiency feedback information is transmitted via an encrypted channel. Uploaded to the 5G access management platform to support platform-side policy verification, anomaly root cause analysis, and adaptive optimization.

[0065] In summary, this invention constructs a five-dimensional comprehensive state vector encompassing communication access, service load, network quality, energy consumption status, and device operation. This enables unified modeling and comprehensive analysis of device operating status. Based on communication-energy consumption coupled power consumption decision indicators, it quantifies and determines device operating requirements, improving the precision of power consumption control. By introducing network handover sensitive window constraints, a level change anti-jitter mechanism, and a minimum communication set keep-alive strategy for critical services, it effectively avoids frequent handovers and communication interruptions, improving system stability and reliability. Furthermore, it constructs a hierarchical power consumption control system, relying on a 5G access management platform to generate, distribute, and optimize policies. Combined with a multi-core collaborative execution mechanism, it effectively reduces energy consumption while ensuring communication performance, achieving synergistic optimization of performance and energy efficiency.

[0066] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A hierarchical power consumption control method based on a 5G access management platform, characterized in that: include, Collect operational status information of communication equipment; Based on the operating status information, a power consumption decision index coupled with communication and energy consumption is constructed, and the operating status of communication equipment is divided into high-performance communication level, adaptive balance level and low power consumption energy-saving level according to the power consumption decision index. According to the business demand index Link maintenance pressure index Energy Constraint Index and equipment load index Constructing comprehensive power consumption decision metrics : ； The comprehensive power consumption decision index It is used to characterize the coupling relationship between current communication needs, link pressure, device load, and energy constraints; The 5G access management platform generates corresponding hierarchical power control policies based on power consumption levels and distributes these policies to communication devices. In low power consumption energy saving level Below, construct the minimum communication set for key business functions. : ； in, Refers to the heartbeat keep-alive signal, Refers to fault alarm messages. Refers to critical status feedback. Refers to the control confirmation response; The set of control parameters under the low power consumption and energy-saving level Minimum communication set for critical business Constraints, in which the communication module remains supported. The lowest communication activation state, sending period parameters according to Limit the minimum communication requirements, and non-critical business scheduling threads enter a suspended or low-frequency wake-up state; The communication equipment employs a multi-core processing architecture to execute a hierarchical power consumption control strategy and synchronizes control commands through an inter-core communication mechanism. The management and control core is based on a hierarchical power consumption control strategy. and control parameter set Generate control instructions for each processing core; Control commands are distributed to each processing core through an inter-core communication mechanism and executed synchronously. After each core has completed its execution, the synchronization status is fed back. The management and control core performs unified scheduling and updates to ensure that control commands are consistently effective across multiple cores; The management and control core is based on the inter-core synchronization status. The system judges the execution result of the control policy. If there are any incomplete, time-out, or abnormal situations, it maintains the effective policy of the previous control cycle or switches to the preset protection policy, and records the abnormal information and reports it to the 5G access management platform. Based on changes in communication service load and network status, power consumption levels and tiered power control strategies are updated in real time within adjacent control cycles, including: Based on changes in communication service load and network status, the comprehensive state vector is periodically updated and the power consumption decision index is recalculated to obtain candidate power consumption levels. By introducing a level change determination mechanism to suppress frequent handovers, and imposing constraints on power consumption levels under the network handover sensitive window, the actual power consumption level is determined. To avoid frequent power consumption level switching caused by instantaneous fluctuations in communication service load or network status, a level change determination function is introduced. And map power consumption levels to ordered numerical functions. ,in, , , and define: ； Among them, when Furthermore, if the duration exceeds the preset time window, a power consumption level update is triggered. The threshold for level change; The network handover sensitive window includes: cell reselection phase, handover preparation phase, handover execution phase, network registration and recovery phase, and link reconstruction phase; When communication equipment is in a network handover sensitive window, candidate power consumption levels are considered. By applying level constraints, the actual power consumption level can be obtained. ; The level constraints include: prohibiting the power consumption level from jumping from a high level to a low power consumption energy-saving level, or only allowing the power consumption level to be adjusted between the current level and the adjacent higher level; Within the network switching sensitive window, only lightweight power-saving actions that do not affect communication continuity are allowed to be performed; The lightweight energy-saving actions include: reducing the scheduling frequency of non-critical tasks, limiting the wake-up frequency of non-critical peripheral interfaces, and delaying the transmission of non-critical data. The 5G access management platform generates new hierarchical power consumption control strategies and control parameters based on the updated power consumption levels, and distributes them to the communication equipment for smooth adjustment and execution. The execution results of the hierarchical power consumption control strategy are monitored and evaluated, and performance-energy efficiency feedback information is generated and uploaded to the 5G access management platform.

2. The hierarchical power consumption control method based on a 5G access management platform as described in claim 1, characterized in that: The operational status information of the collected communication equipment includes: The communication access status vector, service load status vector, network quality status vector, energy consumption status vector, and equipment operation status vector are collected according to a fixed sampling period. The collected operational status information is standardized and a comprehensive vector is constructed.

3. The hierarchical power consumption control method based on a 5G access management platform as described in claim 2, characterized in that: The construction of a communication-energy consumption coupling power consumption decision index based on operational status information, and the classification of communication equipment operational status into high-performance communication level, adaptive balance level, and low-power energy-saving level according to the power consumption decision index, includes: Based on the comprehensive state vector, extract the vectors of service load, network quality, energy consumption status and equipment operation status, and construct a comprehensive power consumption decision index. Based on the relationship between the comprehensive power consumption decision index and the preset threshold, the operating status of communication equipment is divided into high-performance communication level, adaptive balance level and low power consumption energy-saving level.

4. The hierarchical power consumption control method based on a 5G access management platform as described in claim 3, characterized in that: The hierarchical power control strategy generated by the 5G access management platform based on power consumption levels includes: The 5G access management platform pre-builds a set of hierarchical power consumption control strategies, selects the corresponding hierarchical power consumption control strategy according to the current power consumption level through a mapping relationship, and generates the corresponding set of control parameters. The strategy is constrained by combining the range of communication services retained under different power consumption levels, so as to achieve graded power consumption control that takes into account both communication performance and energy efficiency.

5. The hierarchical power consumption control method based on a 5G access management platform as described in claim 4, characterized in that: The step of distributing the graded power consumption control strategy to the communication device includes: By establishing a secure communication channel, the hierarchical power consumption control strategy and control parameter set are encapsulated and sent to the communication device. After verification and execution on the device side, the execution result is fed back to the 5G access management platform.

6. The hierarchical power consumption control method based on a 5G access management platform as described in claim 5, characterized in that: The communication device employs a multi-core processing architecture to implement a graded power consumption control strategy, including: The communication equipment executes a hierarchical power consumption control strategy based on a multi-core processing architecture, and achieves coordinated control of each core through task allocation and dynamic resource scheduling. It also performs joint adjustments to the communication module, interface, and sleep mode, and collects the operating status during the execution process and feeds it back to the 5G access management platform.

7. The hierarchical power consumption control method based on a 5G access management platform as described in claim 6, characterized in that: The monitoring and evaluation of the execution results of the hierarchical power consumption control strategy includes: By collecting operational status data after the strategy is executed, a performance and energy efficiency feedback vector is constructed. The effectiveness of the hierarchical power control strategy is determined by evaluating the execution results of the strategy in conjunction with the current power consumption level.

8. The hierarchical power consumption control method based on a 5G access management platform as described in claim 7, characterized in that: The process of generating performance-energy efficiency feedback information and uploading it to the 5G access management platform includes: Performance-energy efficiency feedback information is constructed based on performance and energy efficiency feedback vectors, and then encapsulated, verified, and uploaded to the 5G access management platform.

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