Link self-adaption method for multimode communication system

Abstract

The invention relates to a link self-adaption method for a multimode communication system, which comprises the following steps of: defining a priority list of a waveform, and defining a signal quality evaluation standard of each waveform; according to the waveform priority list, the real-time signal quality of each waveform is monitored in sequence, if it is monitored that the signal quality of any waveform exceeds a preset good signal quality threshold value, the waveform is determined to be the optimal waveform, and otherwise, the current signal quality of the waveform is recorded; if all the waveforms cannot meet the standard of good signal quality, selecting the waveform with the minimum difference as the optimal waveform; the priority list and threshold criteria are dynamically adjusted according to system, user feedback to improve the accuracy and efficiency of future decisions. The problems of insufficient judgment basis and single condition in the multimode waveform switching technology are solved, the resources can be effectively managed and allocated, the waveform with better signal quality is preferentially processed, the response speed and efficiency of the whole system are improved, and the optimal performance is maintained.

Description

Technical Field

[0001] The present invention relates to a telecommunication technology, and in particular to a link adaptation method for a multi-mode communication system. Background Art

[0002] The use of multiple waveforms in mobile communications can better adapt to complex communication environments, meet different business needs, and enhance system flexibility and compatibility.

[0003] Several common multi-mode waveform technologies include: 1) Rate-based switching: the device determines the network transmission rate between different base stations and selects the best base station for switching based on actual needs; 2) Load-based switching: the device selects a base station with a lower network load for switching based on the network load of the current base station; 3) Latency-based switching: when the device finds that the latency of the current base station exceeds the set threshold, the device will switch to other base stations to obtain better network quality.

[0004] The above-mentioned multi-mode waveform switching technology has the following problems: 1) The judgment basis only considers network transmission, and does not comprehensively consider other services, such as voice call services; 2) The network transmission capacity is judged from the network side, and the waveform that does not require a base station is not taken into account, which is not comprehensive; 3) The evaluation criteria are single and not combined with the user's usage scenarios. Summary of the invention

[0005] Aiming at the problems of insufficient judgment basis and single condition in multi-mode waveform switching technology, a link adaptation method for multi-mode communication system is proposed.

[0006] 1) Design an evaluation system that includes multiple dimensions, such as functional integrity, performance indicators, safety, etc. Formulate signal quality evaluation standards based on the characteristics of each waveform to avoid using a single standard to define signal quality;

[0007] 2) Gain in-depth understanding of user needs, behaviors, and usage scenarios, set priorities for waveforms based on user needs, optimize the use of communication resources, and improve the stability and performance of the entire communication network;

[0008] 3) Allow evaluation criteria to be dynamically adjusted based on user feedback and usage data to adapt to changing user needs.

[0009] The technical solution of the present invention is:

[0010] A link adaptation method for a multi-mode communication system comprises the following steps:

[0011] Step 1: Define a priority list of waveforms and define the signal quality evaluation criteria for each waveform, including thresholds for good signal quality and poor signal quality; signal quality includes signal strength, signal stability, and signal noise level;

[0012] Step 2: According to the waveform priority list, the real-time signal quality of each waveform is monitored in turn. If the signal quality of any waveform is detected to exceed the preset threshold of the best signal quality, the waveform is determined as the optimal waveform. Otherwise, the current signal quality of the waveform is recorded.

[0013] Step 3: If all waveforms fail to meet the standard of good signal quality, the optimization phase is entered to calculate the difference between the current signal quality of each waveform and the threshold of good signal quality, and the waveform with the smallest difference is selected as the optimal waveform;

[0014] Step 4: Dynamically adjust the priority list and threshold criteria based on system and user feedback to improve the accuracy and efficiency of future decisions.

[0015] Furthermore, step 1 specifically includes the following steps:

[0016] Step 1.1: Define a priority list specifically for waveforms; the purpose of this list is to arrange different waveforms in a certain order to reflect their importance in a specific scenario or system;

[0017] Step 1.2: Define signal quality evaluation criteria for each waveform; this evaluation criterion can measure the signal quality of each waveform and set reasonable thresholds for good signal quality and poor signal quality. Signal quality includes signal strength: a waveform with strong enough signal strength means that it can better resist interference during transmission, thereby ensuring accurate transmission of information; signal stability: a stable signal waveform can always maintain its characteristics during long-term transmission without large fluctuations or distortion; signal noise level: a lower noise level indicates that the waveform is more pure and the signal quality is relatively good.

[0018] Furthermore, step 3 specifically includes the following steps:

[0019] Step 3.1: Carry out specific calculations for each waveform to calculate the difference between the current signal quality of each waveform and the threshold value of the best signal quality; the calculation of this difference is accurately calculated based on the various indicators in the previously determined signal quality evaluation standard; that is, the difference between the current state of each waveform and the threshold value of the best signal quality in the corresponding indicators under the signal strength, stability, and noise level indicators is calculated respectively to obtain the overall difference value;

[0020] Step 3.2: From the difference values ​​calculated from all waveforms, select the waveform with the smallest comprehensive difference according to the actual situation and determine it as the optimal waveform.

[0021] Furthermore, step 4 specifically includes the following steps:

[0022] Step 4.1: Dynamically adjust the priority list and threshold standards based on system feedback. The system will accumulate a large amount of data and information about waveform processing during continuous operation. If the system finds that certain waveforms, although they are at a lower position in the current priority list under specific working conditions, actually have an important impact on the key performance indicators of the system, the priority list needs to be adjusted based on system feedback. For the threshold standard, when the system detects that in certain special cases, there will be deviations when judging according to the existing standards, the signal quality judgment standard system needs to be adjusted based on system feedback.

[0023] Step 4.2: According to user feedback, the priority list and threshold standard are dynamically adjusted; in actual operation, the user may find that the processing results of some waveforms do not meet expectations according to the existing priority list and threshold standard; based on user feedback, this method needs to dynamically adjust the priority list and threshold standard.

[0024] Furthermore, in step 4.1, the system will accumulate a large amount of data and information about waveform processing during continuous operation. For example, the system will record data on the transmission effects of different waveforms in different time periods, the impact on the overall system performance, and the performance under different workloads.

[0025] Furthermore, in step 4.2, the processing results of some waveforms are not as expected. For example, the user may feel that some waveforms that are not important to the current business are given a lower priority, resulting in the business process being affected; according to the current threshold standard, some waveforms are misjudged as poor quality, affecting the normal use of users.

[0026] The beneficial effects of the present invention are:

[0027] 1) Setting priorities for waveforms can effectively manage and allocate resources, give priority to waveforms with better signal quality, and improve the response speed and efficiency of the overall system;

[0028] 2) When all waveforms do not meet the preset quality standards, this method can calculate the gap between each waveform and the ideal state and select the waveform closest to the target, thereby ensuring that the system can maintain optimal performance under different conditions;

[0029] 3) Through this solution, the waveform is adjusted in real time to adapt to changes in the communication transmission process, ensuring that the communication can be transmitted in the best state and meeting the user's needs for high speed and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a waveform switching flow chart of the present invention. DETAILED DESCRIPTION

[0031] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0032] A link adaptation method for a multi-mode communication system, such as Figure 1 As shown, the method comprises the following steps:

[0033] Step 1: Define a priority list of waveforms and define the signal quality evaluation criteria for each waveform, including thresholds for good signal quality and poor signal quality;

[0034] Wherein, step 1 comprises the following steps:

[0035] Step 1.1: Define a priority list specifically for waveforms. The purpose of this list is to arrange different waveforms in a certain order to reflect their importance in a specific scenario or system. For example, in a complex communication system, certain waveforms may be given a higher priority because of their advantages in transmitting critical information.

[0036] Step 1.2: Define a signal quality evaluation criterion for each waveform. This evaluation criterion can measure the signal quality of each waveform and set reasonable thresholds for good signal quality and poor signal quality. Signal quality includes

[0037] 1) Signal strength: A waveform with a strong enough signal strength means that it can better resist interference during transmission, thus ensuring accurate transmission of information;

[0038] 2) Signal stability: A stable signal waveform can always maintain its characteristics during long-term transmission without large fluctuations or distortion;

[0039] 3) Signal noise level: A lower noise level indicates that the waveform is purer and the signal quality is relatively better.

[0040] Step 2: According to the waveform priority list, the real-time signal quality of each waveform is monitored in turn. If the signal quality of any waveform is detected to exceed the preset threshold of the best signal quality, the waveform is determined as the optimal waveform. Otherwise, the current signal quality of the waveform is recorded.

[0041] Step 3: If all waveforms fail to meet the standard of good signal quality, the optimization phase is entered to calculate the difference between the current signal quality of each waveform and the threshold of good signal quality, and the waveform with the smallest difference is selected as the optimal waveform;

[0042] Wherein, step 3 comprises the following steps:

[0043] Step 3.1: Carry out specific calculations for each waveform to calculate the difference between the signal quality currently presented by each waveform and the threshold value of the best signal quality. This difference is calculated accurately based on the various indicators in the previously determined signal quality evaluation standard. That is, the difference between the current state of each waveform and the threshold value of the best signal quality in the corresponding indicators such as signal strength, stability, and noise level is calculated separately to obtain the overall difference value;

[0044] Step 3.2: From the difference values ​​calculated from all waveforms, select the waveform with the smallest comprehensive difference according to the actual situation and determine it as the optimal waveform. This selection method is a suboptimal selection strategy when all waveforms do not meet the ideal signal quality standard. By selecting the waveform with the smallest difference from the signal quality threshold, a relatively good waveform can be selected as much as possible for subsequent operations under the current unsatisfactory situation, and adjustments can be made based on this relatively optimal waveform.

[0045] For waveforms with minimal differences, in practical applications, it is necessary to comprehensively consider signal strength, signal stability, and noise level based on waveform characteristics. For example, when communicating over a long distance, a higher signal strength is required to ensure coverage; under waveforms that are mainly voice services, a lower noise level is required to ensure the clarity of the audio signal.

[0046] Step 4: Based on system feedback, dynamically adjust the priority list and threshold criteria to improve the accuracy and efficiency of future decisions.

[0047] Wherein, step 4 comprises the following steps:

[0048] Step 4.1: Dynamically adjust the priority list and threshold standards based on the feedback from the multi-mode communication system. The system will accumulate a large amount of data and information about waveform processing during continuous operation. For example, the system will record data on the transmission effect of different waveforms in different time periods, the impact on the overall system performance, and the performance under different workloads. If the system finds that certain waveforms, although they are at a lower position in the current priority list under specific working conditions, actually have an important impact on the key performance indicators of the system, the priority list needs to be adjusted based on the system feedback. For the threshold standard, when the system detects that in certain special cases, there will be deviations when judging according to the existing standards, the signal quality judgment standard system needs to be adjusted based on the system feedback.

[0049] Step 4.2: Dynamically adjust the priority list and threshold standards based on user feedback. In actual operation, users will find that the processing results of some waveforms do not meet expectations according to the existing priority list and threshold standards. For example, users may feel that some waveforms that are not important to the current business are given lower priorities, resulting in business processes being affected; according to the current threshold standards, some waveforms are misjudged as poor quality, affecting the normal use of users. Based on user feedback, this method requires dynamic adjustment of the priority list and threshold standards.

[0050] The above-mentioned embodiment only expresses one implementation mode of the present invention, and its description is relatively specific and detailed, but it cannot be understood as limiting the scope of the invention patent. It should be pointed out that for ordinary technicians in this field, several modifications and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be based on the attached claims.

Claims

1. A link adaptation method for a multimode communication system, characterized in that: The steps include: Step 1: Define a priority list of waveforms and define the signal quality evaluation criteria for each waveform, including thresholds for good signal quality and poor signal quality; signal quality includes signal strength, signal stability, and signal noise level; Step 2: According to the waveform priority list, the real-time signal quality of each waveform is monitored in turn. If the signal quality of any waveform exceeds the preset threshold of the best signal quality, the waveform is determined as the optimal waveform. Otherwise, the current signal quality of the waveform is recorded. Step 3: If all waveforms fail to meet the standard of good signal quality, the optimization phase is entered to calculate the difference between the current signal quality of each waveform and the threshold of good signal quality, and the waveform with the smallest difference is selected as the optimal waveform; Step 4: Dynamically adjust the priority list and threshold criteria based on system and user feedback to improve the accuracy and efficiency of future decisions.

2. The link adaptation method for a multimode communication system according to claim 1, characterized in that: Step 1 specifically includes the following steps: Step 1.1: Define a priority list specifically for waveforms; the purpose of this list is to arrange different waveforms in a certain order to reflect their importance in a specific scenario or system; Step 1.2: Define signal quality evaluation criteria for each waveform; this evaluation criterion can measure the signal quality of each waveform and set reasonable thresholds for good signal quality and poor signal quality. Signal quality includes signal strength: a waveform with strong enough signal strength means that it can better resist interference during transmission, thereby ensuring accurate transmission of information; signal stability: a stable signal waveform can always maintain its characteristics during long-term transmission without large fluctuations or distortion; signal noise level: a lower noise level indicates that the waveform is more pure and the signal quality is relatively good.

3. The link adaptation method for a multimode communication system according to claim 2, characterized in that: Step 3 specifically includes the following steps: Step 3.1: Carry out specific calculations for each waveform to calculate the difference between the current signal quality of each waveform and the threshold value of the best signal quality; the calculation of this difference is accurately calculated based on the various indicators in the previously determined signal quality evaluation standard; that is, the difference between the current state of each waveform and the threshold value of the best signal quality in the corresponding indicators under the signal strength, stability, and noise level indicators is calculated respectively to obtain the overall difference value; Step 3.2: From the difference values ​​calculated from all waveforms, select the waveform with the smallest comprehensive difference according to the actual situation and determine it as the optimal waveform.

4. The link adaptation method for a multi-mode communication system according to claim 3, characterized in that: Step 4 specifically includes the following steps: Step 4.1: Dynamically adjust the priority list and threshold standards based on system feedback. The system will accumulate a large amount of data and information about waveform processing during continuous operation. If the system finds that certain waveforms, although they are at a lower position in the current priority list under specific working conditions, actually have an important impact on the key performance indicators of the system, the priority list needs to be adjusted based on system feedback. For the threshold standard, when the system detects that in certain special cases, there will be deviations when judging according to the existing standards, the signal quality judgment standard system needs to be adjusted based on system feedback. Step 4.2: According to user feedback, the priority list and threshold standard are dynamically adjusted; in actual operation, the user may find that the processing results of some waveforms do not meet expectations according to the existing priority list and threshold standard; based on user feedback, this method needs to dynamically adjust the priority list and threshold standard.

5. The link adaptation method for a multi-mode communication system according to claim 4, characterized in that: In step 4.1, the system will accumulate a large amount of data and information about waveform processing during continuous operation. For example, the system will record data on the transmission effects of different waveforms in different time periods, the impact on the overall system performance, and the performance under different workloads.

6. The link adaptation method for a multi-mode communication system according to claim 4, characterized in that: In step 4.2, the processing results of some waveforms are not as expected. For example, users may feel that some waveforms that are not important to the current business are given lower priority, which affects the business process; according to the current threshold standard, some waveforms are misjudged as poor quality, affecting the normal use of users.

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