Multi-mode communication power consumption balance optimization method and system for communication terminal
By deploying a lightweight monitoring module in the communication terminal and optimizing the multi-mode communication strategy using a switching power consumption benefit model, the energy consumption and stability issues caused by frequent switching of multi-mode communication terminals in complex environments are solved, achieving energy balance and improved stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-12
- Publication Date
- 2026-04-07
AI Technical Summary
Existing multimode communication terminals frequently exhibit low-return handover jitter behavior under complex wireless environments and fluctuating service loads, leading to increased overall energy consumption and reduced operational stability. There is a lack of power consumption feedback and adaptive optimization mechanisms based on handover behavior results.
A lightweight monitoring module is deployed on the communication terminal side to collect multi-mode communication handover logs, identify handover behavior event samples, and optimize communication handover strategies through inversion analysis of handover power consumption benefit models, including parameters such as signal threshold, hysteresis time, and scanning frequency, to suppress invalid round-trip handovers and reduce handover transient energy consumption.
This approach achieves the goal of suppressing invalid round-trip handovers and reducing transient handover power consumption, while simultaneously improving the stability of communication handover decisions and overall power consumption control capabilities.
Smart Images
Figure CN121815358A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of wireless communication network technology, and in particular to a method and system for optimizing power consumption balance in multi-mode communication for communication terminals. Background Technology
[0002] With the continuous evolution of mobile communication technology and the increasing demands on the adaptability of communication terminals to multiple standards and network environments, communication terminals typically integrate multiple communication modes such as cellular communication and wireless local area networks, and dynamically switch between different communication modes through communication switching strategies to meet comprehensive requirements such as service continuity, communication quality and energy consumption control.
[0003] Currently, existing multimode communication terminals generally employ communication handover strategies based on signal strength, link quality, or simple power consumption thresholds. These strategies use preset signal thresholds, hysteresis times, or fixed dwell times to control communication mode selection and handover, thus ensuring the availability of communication connections to a certain extent. However, in complex wireless environments and under fluctuating service loads, communication handover strategies typically rely on static or empirical parameter configurations, lacking a feedback analysis mechanism for actual handover behavior. This is particularly problematic in distinguishing low-return handover behaviors caused by minor environmental fluctuations or short-term service changes, leading to frequent or unnecessary communication mode recursions or handovers within a short period. While frequent handovers do not significantly improve communication quality, they continuously introduce transient power consumption effects from communication mode reconstruction, protocol renegotiation, and hardware state switching, significantly increasing the overall energy consumption of the communication terminal and increasing system instability. Existing technologies lack an effective means to perform inverse analysis and continuous optimization of communication handover parameters based on real handover behavior samples.
[0004] In summary, existing technologies suffer from the technical problem that multi-mode communication switching strategies rely excessively on static parameter configuration and lack power consumption feedback and adaptive optimization mechanisms based on switching behavior results. This leads to a large number of low-return switching jitter behaviors in communication terminals under small fluctuation conditions, further affecting the overall power consumption control effect and long-term operational stability of communication terminals in multi-mode communication scenarios. Summary of the Invention
[0005] The purpose of this application is to provide a method and system for optimizing power consumption balance in multi-mode communication for communication terminals, in order to solve the technical problem in the prior art that the multi-mode communication switching strategy relies too much on static parameter configuration and lacks a power consumption feedback and adaptive optimization mechanism based on the switching behavior results, which causes the communication terminal to generate a large number of low-return switching jitter behaviors under small fluctuation conditions, further affecting the overall power consumption control effect and long-term operational stability of the communication terminal in multi-mode communication scenarios.
[0006] In view of the above problems, this application provides a method and system for optimizing power consumption balance in multi-mode communication for communication terminals.
[0007] In a first aspect, this application provides a method for optimizing multi-mode communication power consumption balance in communication terminals. This method is implemented through a multi-mode communication power consumption balance optimization system for communication terminals, comprising: deploying a lightweight monitoring module on the communication terminal side, the lightweight monitoring module being used to collect multi-mode communication handover logs and identify handover behavior event samples from the multi-mode communication handover logs; analyzing the jitter characteristic indicators of the handover behavior event samples and outputting a subset of handover jitter samples; obtaining a parameter vector to be optimized on the communication terminal side based on an initial communication handover strategy; wherein, the parameter vector to be optimized is optimized by inverting the handover jitter sample subset through a handover power consumption benefit model to obtain an optimized parameter vector, the handover power consumption benefit model including a steady-state communication power consumption model, a handover transient communication power consumption model, and a handover benefit function; and updating the communication handover strategy on the communication terminal side according to the optimized parameter vector.
[0008] Preferably, the multi-mode communication power consumption equalization optimization method for a communication terminal further includes: identifying switching behavior event samples from the multi-mode communication switching log according to preset switching identification conditions, wherein the switching behavior event samples include a sample set of switching behavior events occurring between multi-mode communication modules; wherein the preset switching identification conditions include at least two switchings between at least two communication modes for the same communication task within a predetermined time window.
[0009] Preferably, the multi-mode communication power consumption equalization optimization method for communication terminals further includes: analyzing the jitter characteristic indicators of each handover behavior event sample in the handover behavior event sample, including dwell time, handover cycle, service load change rate, and power consumption gain difference before and after handover; analyzing the jitter characteristic indicators based on preset judgment rules, and outputting a subset of handover jitter samples that meet the preset judgment rules.
[0010] Preferably, the multi-mode communication power consumption equalization optimization method for communication terminals further includes: the preset judgment rule is that the dwell time is less than a first threshold, the switching cycle is less than a second threshold, the absolute value of the service load change rate is less than a third threshold, and the power consumption gain difference before and after the switching is less than a fourth threshold.
[0011] Preferably, the multi-mode communication power consumption equalization optimization method for communication terminals further includes: statistically analyzing the dwell time corresponding to each handover in the handover jitter sample subset; calculating the steady-state power consumption generated during the dwell time and the handover transient power consumption generated during the handover process based on the dwell time, using the steady-state communication power consumption model and the handover transient power consumption model respectively; performing a handover benefit function analysis on the parameter vector to be optimized with minimizing the total energy consumption of the steady-state power consumption and the handover transient power consumption as the optimization objective; the handover benefit function is used to adjust the parameter vector based on the power consumption benefit calculation result of the current candidate parameter vector until an optimized parameter vector that satisfies the optimization objective is obtained.
[0012] Preferably, the multi-mode communication power consumption equalization optimization method for communication terminals further includes: analyzing the handover round-trip sequence in which each handover behavior event sample undergoes at least two handovers; obtaining the initial communication mode and the ending communication mode of the handover round-trip sequence, and marking the handover type label of each handover behavior event sample, wherein the handover type label includes round-trip handover type and jump handover type; when the initial communication mode and the ending communication mode are the same, the current handover behavior event sample is marked as round-trip handover type; when the initial communication mode and the ending communication mode are different, the current handover behavior event sample is marked as jump handover type.
[0013] Preferably, the multi-mode communication power consumption equalization optimization method for communication terminals further includes: obtaining round-trip handover behavior event samples and jump-handover behavior event samples according to the handover type label; performing inversion analysis on the round-trip handover behavior event samples using a handover power consumption benefit model to obtain a first optimized parameter vector based on the parameter vector to be optimized; performing inversion analysis on the jump-handover behavior event samples using a handover power consumption benefit model to obtain a second optimized parameter vector based on the first optimized parameter vector; and updating the communication handover strategy on the communication terminal side according to the second optimized parameter vector.
[0014] Preferably, the multi-mode communication power consumption equalization optimization method for communication terminals further includes: the parameter vector to be optimized includes at least a signal threshold, hysteresis time, minimum dwell time, and scanning frequency; establishing a first set of inversion influence weights between the round-trip-handover behavior event samples and the parameter vector to be optimized; establishing a second set of inversion influence weights between the jump-handover behavior event samples and the parameter vector to be optimized; and performing step-by-step inversion analysis based on the first set of inversion influence weights or the second set of inversion influence weights through the handover power consumption benefit model.
[0015] Preferably, the multi-mode communication power consumption equalization optimization method for communication terminals further includes: analyzing the occurrence frequency of the switching jitter sample subset collected by the lightweight monitoring module after the communication terminal updates the communication switching strategy; when the occurrence frequency is greater than a preset occurrence frequency threshold, incrementally updating the optimization parameter vector.
[0016] Secondly, this application also provides a multi-mode communication power equalization optimization system for communication terminals, used to execute a multi-mode communication power equalization optimization method for communication terminals as described in the first aspect, comprising: a sample identification unit, used to deploy a lightweight monitoring module on the communication terminal side, the lightweight monitoring module being used to collect multi-mode communication handover logs and identify handover behavior event samples from the multi-mode communication handover logs; a sample subset output unit, used to analyze the jitter characteristic indicators of the handover behavior event samples and output a handover jitter sample subset; a vector acquisition unit, used to acquire the parameter vector to be optimized on the communication terminal side based on the initial communication handover strategy; wherein, the parameter vector to be optimized is optimized by inverting the handover jitter sample subset through a handover power gain model to obtain an optimized parameter vector, the handover power gain model including a steady-state communication power consumption model, a handover transient communication power consumption model, and a handover gain function; and a strategy update unit, used to update the communication handover strategy on the communication terminal side according to the optimized parameter vector.
[0017] The technical solution provided in this application has at least the following technical effects or advantages: by achieving the technical goal of adaptive optimization of multi-mode communication handover parameters based on handover behavior samples and power consumption benefit model inversion analysis, it achieves the technical effect of improving the stability of communication handover decisions and the overall energy consumption balance control capability of communication terminals while suppressing invalid round-trip handover and reducing handover transient energy consumption.
[0018] The above description is merely an overview of the technical solution of this application. To enable a clearer understanding of the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description
[0019] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0020] Figure 1 This is a flowchart illustrating a multi-mode communication power consumption equalization optimization method for communication terminals according to this application.
[0021] Figure 2 This is a schematic diagram of the structure of a multi-mode communication power consumption equalization optimization system for a communication terminal according to this application.
[0022] Figure labeling: Sample identification unit 1, Sample subset output unit 2, Vector acquisition unit 3, Policy update unit 4. Detailed Implementation
[0023] This application provides a method and system for optimizing power consumption balance in multi-mode communication for communication terminals. It addresses the technical problem in existing technologies where multi-mode communication handover strategies rely excessively on static parameter configuration and lack power feedback and adaptive optimization mechanisms based on handover behavior results. This leads to numerous low-return handover jitter behaviors in communication terminals under small fluctuations, further impacting the overall power consumption control and long-term operational stability of multi-mode communication scenarios. The method achieves the technical goal of adaptive optimization of multi-mode communication handover parameters based on handover behavior samples and power consumption benefit model inversion analysis. This results in improved stability of communication handover decisions and enhanced overall power consumption balance control capabilities of the communication terminal, while suppressing ineffective round-trip handovers and reducing transient handover energy consumption.
[0024] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. It should be understood that this application is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application. It should also be noted that, for ease of description, only the parts related to this application are shown in the accompanying drawings, not all of them.
[0025] Example 1, please refer to the appendix. Figure 1 This application provides a multi-mode communication power equalization optimization method for communication terminals, applied to a multi-mode communication power equalization optimization system for communication terminals, specifically including the following steps:
[0026] A lightweight monitoring module is deployed on the communication terminal side. The lightweight monitoring module is used to collect multi-mode communication handover logs and identify handover behavior event samples from the multi-mode communication handover logs.
[0027] Furthermore, this application also includes: identifying switching behavior event samples from the multi-mode communication switching log according to preset switching identification conditions, wherein the switching behavior event samples include a sample set of switching behavior events occurring between multi-mode communication modules; wherein the preset switching identification conditions include at least two switchings between at least two communication modes for the same communication task within a predetermined time window.
[0028] Furthermore, this application also includes: analyzing a handover round-trip sequence in which each handover event sample undergoes at least two handovers; obtaining the initial communication mode and the ending communication mode of the handover round-trip sequence, and marking a handover type label for each handover event sample, wherein the handover type label includes a round-trip handover type and a jump handover type; when the initial communication mode and the ending communication mode are the same, marking the current handover event sample as a round-trip handover type; when the initial communication mode and the ending communication mode are different, marking the current handover event sample as a jump handover type.
[0029] Furthermore, this application also includes: obtaining round-trip handover behavior event samples and jump-handover behavior event samples based on the handover type label; performing inversion analysis on the round-trip handover behavior event samples using a handover power consumption benefit model to obtain a first optimized parameter vector based on the parameter vector to be optimized; performing inversion analysis on the jump-handover behavior event samples using a handover power consumption benefit model to obtain a second optimized parameter vector based on the first optimized parameter vector; and updating the communication handover strategy on the communication terminal side according to the second optimized parameter vector.
[0030] Furthermore, this application also includes: the parameter vector to be optimized includes at least a signal threshold, hysteresis time, minimum dwell time, and scan frequency; establishing a first set of inversion influence weights between the round-trip-switching behavior event samples and the parameter vector to be optimized; establishing a second set of inversion influence weights between the jump-switching behavior event samples and the parameter vector to be optimized; and performing step-by-step inversion analysis based on the first set of inversion influence weights or the second set of inversion influence weights through the switching power consumption benefit model.
[0031] Specifically, the communication terminal side refers to the operating environment of a terminal device that possesses multiple communication modes and can switch between them. A lightweight monitoring module is deployed on the communication terminal side. This lightweight monitoring module refers to a software or hardware / software combined monitoring unit that is limited in terms of computing resource usage, storage overhead, and energy consumption. The lightweight monitoring module interacts with the communication protocol stack or communication management components to continuously monitor and record the multi-mode communication switching behavior generated by the communication terminal during operation. This allows for real-time perception and data acquisition of the communication switching process without significantly affecting the normal communication performance of the communication terminal. The multi-mode communication switching log refers to structured or semi-structured record data generated during the operation of the communication terminal due to switching operations between different communication modes. The recorded data includes at least the switching time, the communication mode before the switch, the communication mode after the switch, the switching duration, and the switching trigger conditions. By uniformly storing and organizing the multi-mode communication switching logs into a time series, a complete and continuous data foundation is provided for subsequent switching behavior analysis.
[0032] Furthermore, handover behavior event samples are identified from the multi-mode communication handover logs. These handover behavior event samples refer to the set of samples extracted from the multi-mode communication handover logs according to preset identification rules, which can characterize one or more communication mode handover processes. More specifically, the handover behavior event samples focus on identifying invalid round-trip handovers caused by minor fluctuations from the sample library. Invalid round-trip handovers refer to the handover process in which the communication terminal triggers a communication mode switch due to minor fluctuations in signal strength, load level, or environmental parameters within a short period of time, and then quickly returns to the original communication mode after the switch. Invalid round-trip handovers do not produce substantial improvements in communication quality or power consumption benefits, but introduce additional transient power consumption during handover, and are therefore identified as handover behavior event samples that require key analysis and optimization.
[0033] The process involves identifying switching behavior event samples from multi-mode communication switching logs based on preset switching identification criteria. These criteria include at least two switching events occurring between at least two communication modes for the same communication task within a predetermined time window. The predetermined time window is a continuous time interval set to limit the analysis scope. "Same communication task" refers to a communication process identified as logically continuous and with consistent business objectives on the communication terminal side. "Communication mode" refers to the communication operating state corresponding to different communication modules or different communication standards. By counting the number of switching events for the same communication task between different communication modes within the predetermined time window, when the number of switching events reaches at least two, the corresponding switching process is determined as a switching behavior event sample that meets the switching identification criteria, thus avoiding the inclusion of occasional or single switching events in subsequent analysis. A multi-mode communication module refers to a functional module in the communication terminal that supports different communication standards or communication access methods. By comparing and logically judging each entry in the multi-mode communication switching logs against the preset switching identification criteria, switching behavior records that meet the judgment requirements are filtered from the log data, forming switching behavior event samples for subsequent analysis.
[0034] Furthermore, the analysis of switching behavior event samples reveals switching round-trip sequences where each switching behavior event sample undergoes at least two switching events. A switching round-trip sequence refers to a switching sequence consisting of multiple consecutive communication mode switching events in chronological order within the same communication task or the same time-related range, in order to reflect the behavioral characteristics of repeated changes in communication modes within a short period of time.
[0035] Secondly, the initial and final communication modes of the handover round-trip sequence are obtained. The initial communication mode refers to the communication mode the terminal is in before the first handover in the round-trip sequence, and the final communication mode refers to the communication mode the terminal is in after the last handover in the round-trip sequence. Each handover event sample is labeled with a handover type tag. The handover type tag is a classification identifier used to characterize the structural features of the handover behavior. The handover type tag includes round-trip handover type and jump handover type. The round-trip handover type and jump handover type are used to distinguish whether the communication mode returns to its original state after the handover sequence ends. By comparing and analyzing the initial and final communication modes, a corresponding handover type tag is assigned to each handover event sample. For example, the round-trip handover type is ABA or A→B→C→A, and the jump handover type is ABC.
[0036] Furthermore, when the initial communication mode and the end communication mode are the same, the current handover behavior event sample is marked as a round-trip handover type. The round-trip handover type refers to the handover behavior pattern in which the communication terminal eventually returns to the initial communication mode after experiencing multiple communication mode switches. This type of handover behavior usually reflects that the communication handover strategy is highly sensitive to environmental fluctuations or parameter changes, and has not achieved continuous improvement in terms of communication quality or power consumption benefits. The relevant handover behavior event samples are structurally distinguished by the marking method.
[0037] Meanwhile, when the initial communication mode and the end communication mode are different, the current switching behavior event sample is marked as a jump switching type. The jump switching type refers to the communication terminal finally staying in a communication mode state that is different from the initial communication mode after multiple communication mode switching. This type of switching behavior reflects the process of communication terminal completing communication mode migration in a multi-mode communication environment. By distinguishing between jump switching type and round-trip switching type, a switching behavior structure basis is provided for subsequent differentiated power consumption analysis and parameter optimization.
[0038] Furthermore, based on the switching type label, round-trip-switching behavior event samples and jump-switching behavior event samples are obtained. The switching type label refers to the classification identification information used to identify the structural characteristics of communication mode switching behavior. The round-trip-switching behavior event sample refers to the set of switching behavior samples in which the communication terminal eventually returns to the initial communication mode after multiple communication mode switching. The jump-switching behavior event sample refers to the set of switching behavior samples in which the communication terminal eventually stays in different communication mode states after multiple communication mode switching. By grouping the switching behavior event samples according to the switching type label, the samples with different switching structural characteristics can be distinguished and organized.
[0039] Secondly, the switching power consumption benefit model is used to perform inverse analysis on the round-trip handover behavior event samples to obtain the first optimized parameter vector based on the parameter vector to be optimized. The switching power consumption benefit model refers to a comprehensive model used to characterize the power consumption evolution law and energy consumption benefit relationship of the communication terminal during the communication mode switching process. The inverse analysis refers to the analysis process of reverse derivation and adjustment of the parameter configuration that caused the results, using the observed handover behavior samples and power consumption results as input. The first optimized parameter vector refers to the set of parameters obtained after preliminary correction of the parameter vector to be optimized based on the round-trip handover behavior characteristics, while maintaining the overall stability of the parameters, and is used to reduce the ineffective energy consumption caused by frequent round-trip handover of communication modes.
[0040] Furthermore, by performing inversion analysis on the jump-handover behavior event samples through a switching power consumption benefit model, a second optimized parameter vector based on the first optimized parameter vector is obtained. The second optimized parameter vector refers to the parameter set formed after further adjustment based on the first optimized parameter vector and combined with the communication mode migration characteristics reflected by the jump-handover behavior event samples. By using the first optimized parameter vector as the starting point for inversion, the risk of oscillation in parameter updates is reduced, and the gradual optimization of communication handover strategy parameters is achieved.
[0041] Subsequently, the communication switching strategy on the communication terminal side is updated according to the second optimized parameter vector. The communication switching strategy refers to the set of strategy rules used to control the communication terminal to make communication mode selection and switching decisions in a multi-mode communication environment. By writing the second optimized parameter vector into the communication terminal's running configuration, the communication terminal can execute communication mode switching decisions based on the updated parameters in subsequent communication processes, thereby achieving continuous optimization of multi-mode communication power consumption and improvement of switching behavior stability.
[0042] Furthermore, the parameter vector to be optimized includes at least a signal threshold, hysteresis time, minimum dwell time, and scanning frequency. The parameter vector to be optimized refers to the set of parameters used to control the multi-mode communication switching decision behavior of the communication terminal. The signal threshold refers to the critical value of signal quality used to determine whether the communication terminal triggers a communication mode switch. The hysteresis time refers to the time parameter used to delay the execution of the switching operation after the communication mode switching determination condition is met. The minimum dwell time refers to the shortest time constraint that the communication terminal must maintain the current communication mode after completing a communication mode switch. The scanning frequency refers to the time frequency at which the communication terminal detects and evaluates the available communication modes or network status.
[0043] Secondly, the first set of inversion influence weights is established for round-trip handover behavior event samples and the vector of parameters to be optimized. Round-trip handover behavior event samples refer to the set of handover behavior samples in which the communication terminal returns to the initial communication mode after multiple communication mode switching. The inversion influence weights refer to the set of weight parameters used to quantify the degree of influence of different parameters to be optimized on the handover behavior. By statistically analyzing the handover frequency, dwell time and power consumption change characteristics in the round-trip handover samples, the influence weights of each parameter to be optimized in the round-trip handover scenario are constructed to guide the adjustment direction and adjustment range during parameter inversion.
[0044] Furthermore, a second set of inversion influence weights is established for the jump-switching behavior event samples and the parameter vector to be optimized. The jump-switching behavior event samples refer to the set of switching behavior samples in which the communication terminal eventually stays in different communication mode states after multiple communication mode switching. By analyzing the communication mode migration path, switching benefit changes and power consumption evolution characteristics in the jump-switching samples, a second set of inversion influence weights corresponding to the parameter vector to be optimized is formed to reflect the differences in the role of different parameters in communication mode migration decisions.
[0045] Subsequently, by switching the power consumption benefit model, a step-by-step inversion analysis is performed based on the first or second set of inversion influence weights. The step-by-step inversion analysis refers to the process of reverse derivation and correction of the parameter vector to be optimized in stages and dimensions according to the preset parameter adjustment order and weight distribution. By introducing the corresponding inversion influence weights into the switching power consumption benefit model, the parameter adjustment is prioritized to the parameter dimensions that have a greater impact on the current switching type, thereby reducing the instability caused by parameter coupling and improving the convergence and optimization effect of the inversion analysis.
[0046] Analyze the jitter characteristic indicators of the switching behavior event samples and output a subset of switching jitter samples.
[0047] Furthermore, this application also includes: analyzing the jitter characteristic indicators of each handover behavior event sample in the handover behavior event sample, including dwell time, handover cycle, service load change rate, and power consumption difference before and after handover; analyzing the jitter characteristic indicators based on preset judgment rules, and outputting a subset of handover jitter samples that meet the preset judgment rules.
[0048] Furthermore, this application also includes: the preset judgment rule is that the dwell time is less than a first threshold, the switching cycle is less than a second threshold, the absolute value of the service load change rate is less than a third threshold, and the power consumption gain difference before and after the switching is less than a fourth threshold.
[0049] Specifically, the analysis focuses on the jitter characteristic indicators of each handover event sample. These jitter characteristic indicators are a set of multi-dimensional feature parameters used to quantify invalid round-trip handovers caused by communication handover jitter. These include dwell time, handover cycle, service load change rate, and the power consumption difference before and after the handover. Dwell time refers to the length of time a communication terminal maintains its current communication mode after a single communication mode switch. The handover cycle is the time interval between two adjacent communication mode switches. The service load change rate is the proportional relationship between the change in communication task load level before and after the handover and the baseline load level. The power consumption difference before and after the handover refers to the difference in energy consumption gain per unit time between the power consumption level of the communication mode before the handover and the power consumption level of the communication mode after the handover.
[0050] Secondly, based on preset judgment rules, jitter characteristic indicators are analyzed, and a subset of handover jitter samples that meet the preset judgment rules is output. The preset judgment rules refer to multi-condition joint judgment criteria predefined during the system design phase. Further, the preset judgment rules are: dwell time less than a first threshold, handover period less than a second threshold, absolute value of service load change rate less than a third threshold, and power consumption gain difference before and after handover less than a fourth threshold. The first, second, third, and fourth thresholds refer to the upper limit parameters set for different jitter characteristic indicators. By imposing time-scale constraints on dwell time and handover period, frequent and short-term communication mode handover behaviors are limited; by imposing amplitude constraints on the absolute value of service load change rate, reasonable handovers caused by significant service changes are excluded; and by imposing constraints on the power consumption gain difference before and after handover, handover behaviors that fail to produce significant energy consumption gains are identified, thereby achieving accurate identification of low-gain, high-frequency communication handover jitter behaviors. The handover jitter sample subset refers to the set of samples that meet the handover jitter characteristic requirements among all handover behavior event samples. By logically matching the jitter feature indicators corresponding to each switching behavior event sample with preset judgment rules, switching behavior event samples that simultaneously meet multiple judgment conditions are selected, and the selection results are aggregated to form a switching jitter sample subset for subsequent targeted power consumption optimization analysis.
[0051] Obtain the parameter vector to be optimized on the communication terminal side based on the initial communication handover strategy.
[0052] Specifically, the parameter vector to be optimized is optimized by inverting the switching jitter sample subset through the switching power consumption benefit model to obtain the optimized parameter vector. The switching power consumption benefit model includes a steady-state communication power consumption model, a switching transient communication power consumption model, and a switching benefit function.
[0053] Furthermore, this application also includes: statistically analyzing the dwell time corresponding to each handover in the handover jitter sample subset; calculating the steady-state power consumption generated during the dwell time and the handover transient power consumption generated during the handover process based on the dwell time, respectively, using the steady-state communication power consumption model and the handover transient power consumption model; performing a handover benefit function analysis on the parameter vector to be optimized with the goal of minimizing the total energy consumption of the steady-state power consumption and the handover transient power consumption, wherein the handover benefit function is used to adjust the parameter vector based on the power consumption benefit calculation result of the current candidate parameter vector until an optimized parameter vector that satisfies the optimization goal is obtained.
[0054] Specifically, the optimization parameter vector on the communication terminal side is obtained based on the initial communication switching strategy. The initial communication switching strategy refers to the set of strategies pre-configured and used to control the communication mode switching behavior before power consumption equalization optimization is performed. The optimization parameter vector refers to the set of parameters composed of multiple control parameters related to the communication switching decision in a predetermined order, forming an initial state description of the parameters used for subsequent power consumption optimization analysis.
[0055] Among them, the dwell time corresponding to each handover in the statistical handover jitter sample subset refers to the set of low-return, high-frequency handover behavior samples obtained by filtering through jitter feature judgment rules. Dwell time refers to the length of time that the communication terminal maintains the current communication mode after completing a communication mode switch. By calculating the time difference between the time nodes before and after each handover behavior in the handover jitter sample subset, the statistical results of the dwell time corresponding to each handover behavior are obtained.
[0056] Furthermore, the handover power consumption benefit model includes a steady-state communication power consumption model, a handover transient communication power consumption model, and a handover benefit function. The handover power consumption benefit model is a comprehensive analytical model used to uniformly describe the power consumption evolution law and benefit evaluation logic of communication terminals during multi-mode communication handover. By combining the steady-state communication power consumption model, the handover transient communication power consumption model, and the handover benefit function, a complete parameter inversion and power consumption optimization analysis framework is constructed to guide the systematic adjustment of communication handover strategy parameters. The steady-state communication power consumption model is a mathematical model used to describe the cumulative energy consumption of a communication terminal over time in a stable communication mode. The handover transient communication power consumption model is a mathematical model used to characterize the instantaneous energy consumption introduced during communication mode handover due to signal reconstruction, protocol renegotiation, and hardware state adjustment. Based on the dwell time, the steady-state communication power consumption model and the handover transient communication power consumption model calculate the steady-state power consumption generated during the communication mode dwell period and the handover transient power consumption generated during the handover process, respectively. By using the dwell time as an input parameter, the energy consumption value during the stable operation phase of the communication mode and the transient energy consumption value generated during the handover phase are calculated, thus obtaining the complete handover-related power consumption composition.
[0057] Subsequently, the handover benefit function refers to the functional relationship used to quantify the energy consumption benefit or loss caused by communication handover behavior under different parameter configurations. With minimizing the total energy consumption of steady-state power consumption and handover transient power consumption as the optimization objective, a handover benefit function analysis is performed on the parameter vector to be optimized. Total energy consumption refers to the total energy consumption composed of steady-state communication power consumption and handover transient communication power consumption within a given analysis period. By introducing the handover benefit function into the parameter space, the power consumption benefit calculation results corresponding to the current candidate parameter vector are evaluated, and the parameter vector is iteratively adjusted based on the evaluation results until an optimized parameter vector that minimizes the total energy consumption is obtained.
[0058] The communication handover strategy on the communication terminal side is updated according to the optimized parameter vector.
[0059] Furthermore, this application also includes: analyzing the occurrence frequency of the switching jitter sample subset collected in the lightweight monitoring module after the communication terminal side updates the communication switching strategy; when the occurrence frequency is greater than a preset occurrence frequency threshold, incrementally updating the optimized parameter vector.
[0060] Specifically, the communication switching strategy on the communication terminal side is updated according to the optimized parameter vector. The communication switching strategy refers to a set of strategy rules used to control the communication terminal to select and switch between multiple communication modes, so that the communication terminal operates under the updated parameter conditions, providing a new operating state for subsequent effect evaluation.
[0061] Then, after updating the communication handover strategy, the communication terminal analyzes the frequency of occurrence of the handover jitter sample subset collected by the lightweight monitoring module. The lightweight monitoring module refers to the monitoring unit used to continuously collect the operating status of the communication terminal and the communication handover log. The handover jitter sample subset refers to the set of communication handover behavior samples with short dwell time, short handover cycle and limited power consumption benefit. The occurrence frequency refers to the number of times or proportion of the handover jitter sample subset being identified and recorded within a predetermined statistical period. By statistically analyzing the occurrence frequency, the actual effect of the updated communication handover strategy on suppressing handover jitter behavior is evaluated.
[0062] Furthermore, when the frequency of occurrence exceeds a preset frequency threshold, the optimized parameter vector is incrementally updated. The preset frequency threshold is a reference threshold parameter used to determine whether the handover jitter is still at an unacceptable level. Incremental update refers to a small-amplitude, directional parameter adjustment based on the original optimized parameter vector. By triggering the incremental update mechanism when the frequency of occurrence exceeds the threshold, the parameter adjustment process is made gradual and stable, thereby avoiding the adverse effects of frequent and large parameter changes on communication performance.
[0063] In summary, the multi-mode communication power consumption equalization optimization method for communication terminals provided in this application has the following technical effects: by achieving the technical goal of adaptive optimization of multi-mode communication handover parameters based on handover behavior samples and power consumption benefit model inversion analysis, it achieves the technical effect of improving the stability of communication handover decisions and the overall power consumption equalization control capability of communication terminals while suppressing invalid round-trip handover and reducing handover transient energy consumption.
[0064] Example 2: Based on the same inventive concept as the multi-mode communication power equalization optimization method for communication terminals described in the foregoing examples, this application also provides a multi-mode communication power equalization optimization system for communication terminals. Please refer to the appendix. Figure 2The system includes: a sample identification unit 1, used to deploy a lightweight monitoring module on the communication terminal side, the lightweight monitoring module being used to collect multi-mode communication handover logs and identify handover behavior event samples from the multi-mode communication handover logs; a sample subset output unit 2, used to analyze the jitter characteristic indicators of the handover behavior event samples and output a handover jitter sample subset; a vector acquisition unit 3, used to acquire the parameter vector to be optimized on the communication terminal side based on the initial communication handover strategy; wherein, the parameter vector to be optimized is optimized by inverting the handover jitter sample subset through a handover power consumption benefit model to obtain an optimized parameter vector, the handover power consumption benefit model including a steady-state communication power consumption model, a handover transient communication power consumption model, and a handover benefit function; and a strategy update unit 4, used to update the communication handover strategy on the communication terminal side according to the optimized parameter vector.
[0065] Furthermore, the multi-mode communication power consumption equalization optimization system for communication terminals is also used to: identify switching behavior event samples from the multi-mode communication switching log according to preset switching identification conditions, wherein the switching behavior event samples include a sample set of switching behavior events occurring between multi-mode communication modules; wherein the preset switching identification conditions include at least two switchings between at least two communication modes for the same communication task within a predetermined time window.
[0066] Furthermore, the multi-mode communication power consumption equalization optimization system for communication terminals is also used to: analyze the jitter characteristic indicators of each handover behavior event sample in the handover behavior event sample, including dwell time, handover cycle, service load change rate, and power consumption gain difference before and after handover; analyze the jitter characteristic indicators based on preset judgment rules, and output a subset of handover jitter samples that meet the preset judgment rules.
[0067] Furthermore, the multi-mode communication power consumption balancing optimization system for communication terminals is further configured such that: the preset judgment rule is that the dwell time is less than a first threshold, the switching cycle is less than a second threshold, the absolute value of the service load change rate is less than a third threshold, and the power consumption gain difference before and after the switching is less than a fourth threshold.
[0068] Furthermore, the multi-mode communication power consumption equalization optimization system for communication terminals is also used for: statistically analyzing the dwell time corresponding to each handover in the handover jitter sample subset; calculating the steady-state power consumption generated during the dwell time and the handover transient power consumption generated during the handover process based on the dwell time, respectively, using the steady-state communication power consumption model and the handover transient power consumption model; performing a handover benefit function analysis on the parameter vector to be optimized with the goal of minimizing the total energy consumption of the steady-state power consumption and the handover transient power consumption, wherein the handover benefit function is used to adjust the parameter vector based on the power consumption benefit calculation result of the current candidate parameter vector until an optimized parameter vector that satisfies the optimization goal is obtained.
[0069] Furthermore, the multi-mode communication power equalization optimization system for communication terminals is also used for: analyzing the handover round-trip sequence in which each handover event sample undergoes at least two handovers; obtaining the initial communication mode and the ending communication mode of the handover round-trip sequence, and marking the handover type label of each handover event sample, wherein the handover type label includes round-trip handover type and jump handover type; when the initial communication mode and the ending communication mode are the same, the current handover event sample is marked as round-trip handover type; when the initial communication mode and the ending communication mode are different, the current handover event sample is marked as jump handover type.
[0070] Furthermore, the multi-mode communication power equalization optimization system for communication terminals is further configured to: obtain round-trip handover behavior event samples and jump-handover behavior event samples based on the handover type label; perform inversion analysis on the round-trip handover behavior event samples using a handover power gain model to obtain a first optimized parameter vector based on the parameter vector to be optimized; perform inversion analysis on the jump-handover behavior event samples using a handover power gain model to obtain a second optimized parameter vector based on the first optimized parameter vector; and update the communication handover strategy on the communication terminal side according to the second optimized parameter vector.
[0071] Furthermore, the multi-mode communication power consumption equalization optimization system for communication terminals is further configured to: the parameter vector to be optimized includes at least a signal threshold, hysteresis time, minimum dwell time, and scanning frequency; establish a first set of inversion influence weights between the round-trip-handover behavior event samples and the parameter vector to be optimized; establish a second set of inversion influence weights between the jump-handover behavior event samples and the parameter vector to be optimized; and perform step-by-step inversion analysis based on the first set of inversion influence weights or the second set of inversion influence weights using the handover power consumption benefit model.
[0072] Furthermore, the multi-mode communication power consumption equalization optimization system for communication terminals is also used to: analyze the occurrence frequency of the switching jitter sample subset collected by the lightweight monitoring module after the communication terminal updates the communication switching strategy; when the occurrence frequency is greater than a preset occurrence frequency threshold, incrementally update the optimization parameter vector.
[0073] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The multi-mode communication power equalization optimization method and specific example for a communication terminal in the foregoing embodiment one are also applicable to the multi-mode communication power equalization optimization system for a communication terminal in this embodiment. Through the foregoing detailed description of the multi-mode communication power equalization optimization method for a communication terminal, those skilled in the art can clearly understand the multi-mode communication power equalization optimization system for a communication terminal in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.
[0074] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
[0075] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of this application and its equivalents, this application also intends to include such modifications and variations.
Claims
1. A method for optimizing power consumption balancing in multi-mode communication for communication terminals, characterized in that, The method includes: A lightweight monitoring module is deployed on the communication terminal side. The lightweight monitoring module is used to collect multi-mode communication handover logs and identify handover behavior event samples from the multi-mode communication handover logs. Analyze the jitter characteristic indicators of the switching behavior event samples and output a subset of switching jitter samples; Obtain the parameter vector to be optimized on the communication terminal side based on the initial communication handover strategy; Specifically, the parameter vector to be optimized is optimized by inverting the switching jitter sample subset through the switching power consumption benefit model to obtain the optimized parameter vector. The switching power consumption benefit model includes a steady-state communication power consumption model, a switching transient communication power consumption model, and a switching benefit function. The communication handover strategy on the communication terminal side is updated according to the optimized parameter vector.
2. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 1, characterized in that, Based on preset handover identification conditions, handover behavior event samples are identified from the multi-mode communication handover log. The handover behavior event samples include a set of samples based on handover behavior events occurring between multi-mode communication modules. The preset switching identification conditions include the same communication task switching between at least two communication modes at least twice within a predetermined time window.
3. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 2, characterized in that, The method includes analyzing the jitter characteristic indicators of the handover behavior event samples and outputting a subset of handover jitter samples. Analyze the jitter characteristics of each handover behavior event sample in the handover behavior event sample, including dwell time, handover cycle, service load change rate, and power consumption difference before and after handover; The jitter feature index is analyzed based on preset judgment rules, and a subset of switching jitter samples that meet the preset judgment rules is output.
4. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 3, characterized in that, The preset judgment rules are: the dwell time is less than the first threshold, the switching cycle is less than the second threshold, the absolute value of the service load change rate is less than the third threshold, and the difference in power consumption before and after the switching is less than the fourth threshold.
5. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 1, characterized in that, The method for optimizing the parameter vector by inverting the switching power consumption benefit model to analyze the switching jitter sample subset and obtaining the optimized parameter vector includes: The dwell time corresponding to each switch in the aforementioned switch jitter sample subset is statistically analyzed. The steady-state communication power consumption model and the switching transient communication power consumption model calculate the steady-state power consumption generated during the communication mode dwell time and the switching transient power consumption generated during the switching process, respectively, based on the dwell time. With the goal of minimizing the total energy consumption of the steady-state power consumption and the switching transient power consumption, a switching benefit function analysis is performed on the parameter vector to be optimized. The switching benefit function is used to adjust the parameter vector based on the power consumption benefit calculation result of the current candidate parameter vector until an optimized parameter vector that satisfies the optimization goal is obtained.
6. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 2, characterized in that, After identifying samples of switching behavior events, the method also includes: Analyze the handover round-trip sequence in the handover event sample where each handover event sample has at least two handovers; Obtain the initial communication mode and the end communication mode of the switching round-trip sequence, and mark the switching type label of each switching behavior event sample. The switching type label includes round-trip switching type and jump switching type. When the initial communication mode and the end communication mode are the same, the current handover behavior event sample is marked as a round-trip handover type; When the initial communication mode and the end communication mode are different, the current switching behavior event sample is marked as a jump switching type.
7. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 6, characterized in that, Based on the switching type label, round-trip switching behavior event samples and jump-switching behavior event samples are obtained; By switching power consumption benefit model, the round-trip-switching behavior event samples are inverted to obtain the first optimized parameter vector based on the parameter vector to be optimized. By switching the power consumption benefit model, the jump-switching behavior event samples are inverted and analyzed to obtain a second optimization parameter vector based on the first optimization parameter vector. The communication handover strategy on the communication terminal side is updated according to the second optimized parameter vector.
8. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 7, characterized in that, The parameter vector to be optimized includes at least the signal threshold, hysteresis time, minimum dwell time, and scan frequency; Establish the first set of inversion influence weights between the round-trip-switching behavior event samples and the parameter vector to be optimized; Establish a second set of inversion influence weights between the jump-switching behavior event samples and the parameter vector to be optimized; The switching power consumption benefit model performs a step-by-step inversion analysis based on either the first set of inversion influence weights or the second set of inversion influence weights.
9. The multi-mode communication power consumption equalization optimization method for communication terminals as described in claim 1, characterized in that, After updating the communication handover strategy on the communication terminal side according to the optimized parameter vector, the method further includes: The frequency of occurrence of the handover jitter sample subset collected by the lightweight monitoring module is analyzed after the communication terminal updates the communication handover strategy. When the occurrence frequency is greater than a preset occurrence frequency threshold, the optimized parameter vector is incrementally updated.
10. A multi-mode communication power consumption equalization optimization system for communication terminals, characterized in that, The steps for implementing the multi-mode communication power equalization optimization method for a communication terminal according to any one of claims 1 to 9 include: A sample identification unit is used to deploy a lightweight monitoring module on the communication terminal side. The lightweight monitoring module is used to collect multi-mode communication handover logs and identify handover behavior event samples from the multi-mode communication handover logs. The sample subset output unit is used to analyze the jitter characteristic indicators of the switching behavior event samples and output a switching jitter sample subset. A vector acquisition unit is used to acquire the parameter vector to be optimized on the communication terminal side based on the initial communication switching strategy; Specifically, the parameter vector to be optimized is optimized by inverting the switching jitter sample subset through the switching power consumption benefit model to obtain the optimized parameter vector. The switching power consumption benefit model includes a steady-state communication power consumption model, a switching transient communication power consumption model, and a switching benefit function. The strategy update unit is used to update the communication handover strategy on the communication terminal side according to the optimized parameter vector.