Local collaborative awareness communication link optimization method and device based on super SIM (Subscriber Identity Module) card

Abstract

The invention relates to a local collaborative awareness communication link optimization method and device based on a super SIM (Subscriber Identity Module) card. The method comprises the following steps: a super SIM card obtains current network link information of an auxiliary terminal and obtains historical link information of the terminal in a prediction period; predicting a predicted link in a prediction period by using a link prediction algorithm model and taking the current network link information of the auxiliary terminal, the historical link information of the terminal in the prediction period and the user behavior characteristic preference information recorded by the super SIM card as input; according to a target base station in the prediction link, sending the prediction link to the target base station, so that the target base station incorporates the prediction link into a base station prediction link pool, and performing path integration adjustment on the prediction link in the base station prediction link pool to obtain an integrated prediction link; and receiving the prediction link sent by the target base station, and establishing a data link according to the prediction link sent by the target base station. According to the invention, the local overall data transmission efficiency and the anti-interference capability can be improved.

Description

Technical Field

[0001] This disclosure relates to the field of communications, particularly to the technical fields of transmission and bearer, artificial intelligence, cloud computing, big data, edge computing, infrastructure, and IT support, and especially to a method, apparatus, system, electronic device, storage medium, and program product for optimizing local collaborative sensing communication links based on a super SIM card. Background Technology

[0002] During mobile communication, the SIM (Subscriber Identity Module) card monitors the signal strength, channel quality, and interference of the current network connection in real time. Based on preset communication parameters and operator configuration policies, it dynamically adjusts the modulation and coding scheme, transmission power, and channel resource allocation, prioritizing frequency bands or carriers with high signal-to-noise ratio and low bit error rate. It also adaptively switches network standards according to network congestion levels and matches the optimal coding rate to QoS (Quality of Service) requirements, maximizing data transmission efficiency while ensuring basic communication quality. However, this method suffers from problems such as potential interference with other communications and low overall efficiency due to distributed decision-making. Summary of the Invention

[0003] This disclosure provides a method and apparatus for optimizing local collaborative sensing communication links based on a super SIM card, which can solve the problems of easy interference with other communications and low global efficiency caused by distributed decision-making in related technologies.

[0004] In a first aspect, embodiments of this disclosure provide a method for optimizing a local cooperative sensing communication link based on a Super SIM card. The method is applied to a Super SIM card and includes: Obtain the current network connection information of the super SIM card auxiliary terminal, and obtain the historical connection information of the terminal within the prediction period; Using a link prediction algorithm model, the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card are used as inputs to predict the predicted links within the prediction period. According to the target base station in the predicted link, the predicted link is sent to the target base station so that the target base station includes the predicted link in the base station predicted link pool and performs path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted link; Upon receiving the predicted link sent by the target base station, a data link is established according to the predicted link sent by the target base station.

[0005] Secondly, embodiments of this disclosure provide a method for optimizing a local cooperative sensing communication link based on a super SIM card. The method is applied to a base station and includes: The system receives a predicted link sent by the Super SIM card. The predicted link is based on a link prediction algorithm model. The input of the link prediction algorithm model includes the current network link information of the Super SIM card's affiliated terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card. The predicted links are incorporated into the base station predicted link pool, and the predicted links in the base station predicted link pool are adjusted by path integration to obtain the integrated predicted links. The integrated predicted link is sent to the Super SIM card so that the Super SIM card establishes a data link according to the predicted link sent by the base station.

[0006] Thirdly, embodiments of this disclosure provide a local cooperative sensing communication link optimization device based on a super SIM card, the device being configured in a super SIM card, the device comprising: The first acquisition module is used to acquire the current network connection information of the super SIM card auxiliary terminal; The second acquisition module is used to acquire historical connection information of the terminal within the prediction period; The prediction module is used to predict the predicted links within the prediction period by using a link prediction algorithm model, taking the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card as input. The sending module is configured to send the predicted link to the target base station according to the target base station in the predicted link, so that the target base station includes the predicted link in the base station predicted link pool and performs path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted link. The link establishment module is used to receive the predicted link sent by the target base station and establish a data link according to the predicted link sent by the target base station.

[0007] Fourthly, embodiments of this disclosure provide a local cooperative sensing communication link optimization device based on a super SIM card, the device being configured in a base station, the device comprising: The receiving module is used to receive the predicted link sent by the Super SIM card. The predicted link is predicted based on the link prediction algorithm model. The input of the link prediction algorithm model includes the current network link information of the Super SIM card's affiliated terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card. An optimization module is used to include the predicted links into the base station predicted link pool and to perform path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted links. The sending module is used to send the integrated predicted link to the super SIM card, so that the super SIM card establishes a data link according to the predicted link sent by the base station.

[0008] Fifthly, embodiments of this disclosure provide an electronic device, including: One or more processors; The processor is used to invoke instructions to cause the electronic device to perform the method described in the first or second aspect above.

[0009] In a sixth aspect, embodiments of this disclosure provide a storage medium storing instructions that, when executed on an electronic device, cause the electronic device to perform the method described in the first or second aspect described above.

[0010] In a seventh aspect, embodiments of this disclosure provide a program product, including at least one of a program and instructions, wherein when the program or instructions are executed by an electronic device, they implement the steps of the method described in the first or second aspect.

[0011] According to the technical solution disclosed herein, the efficiency of local and overall data transmission and the ability to resist interference can be improved.

[0012] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0013] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0014] Figure 1 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a super SIM card, according to an exemplary embodiment.

[0015] Figure 2 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a super SIM card, according to an exemplary embodiment.

[0016] Figure 3 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a super SIM card, according to an exemplary embodiment.

[0017] Figure 4 This is a block diagram illustrating a local cooperative sensing communication link optimization system based on a super SIM card, according to an exemplary embodiment.

[0018] Figure 5 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a super SIM card, according to an exemplary embodiment.

[0019] Figure 6 This is a block diagram illustrating a local cooperative sensing communication link optimization device based on a super SIM card, according to an exemplary embodiment.

[0020] Figure 7 This is a block diagram illustrating a local cooperative sensing communication link optimization device based on a super SIM card, according to an exemplary embodiment.

[0021] Figure 8 This is a block diagram of an electronic device 800 according to an exemplary embodiment. Detailed Implementation

[0022] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0023] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0024] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0025] It should be noted that the acquisition, transmission, storage, use, and processing of data in this disclosed technical solution comply with the relevant provisions of national laws and regulations and do not violate public order and good morals.

[0026] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this disclosure are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0027] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0028] In this disclosure, "at least one" means one or more. "More than one" means two or more.

[0029] It is worth noting that in the embodiments disclosed herein, certain software, components, models, and other existing solutions in the industry may be mentioned. These should be considered as exemplary, and their purpose is only to illustrate the feasibility of implementing the technical solutions disclosed herein. However, this does not mean that the applicant has used or necessarily used such solutions.

[0030] During mobile communication, the SIM (Subscriber Identity Module) card monitors the signal strength, channel quality, and interference of the current network connection in real time. Based on preset communication parameters and operator configuration policies, it dynamically adjusts the modulation and coding scheme, transmission power, and channel resource allocation, prioritizing frequency bands or carriers with high signal-to-noise ratio and low bit error rate. It also adaptively switches network standards according to network congestion and matches the optimal coding rate with QoS (Quality of Service) requirements to maximize data transmission efficiency while ensuring basic communication quality.

[0031] However, the above method has the following problems: 1) It is easy to interfere with other communications: In high-speed mobile scenarios, the terminal has a lag in detecting instantaneous changes in channel quality and cannot accurately capture dynamic interference characteristics such as Doppler shift and rapid fading. Existing solutions lack consideration for user movement trajectories and historical signal fluctuation patterns. Especially in dense urban areas or high-speed rail environments, the frequent use of base stations and increasing transmission power to improve transmission quality leads to inefficiency and easy interference with other devices.

[0032] 2) Distributed decision-making leads to low global efficiency: Terminals independently select access nodes or modulation and coding schemes based on local measurements, lacking joint resource coordination with the network side. When multiple terminals compete for the same high-quality channel, resource conflicts are easily triggered, exacerbating inter-cell interference and reducing the overall spectrum utilization.

[0033] Based on this, this disclosure provides a method and apparatus for optimizing local collaborative sensing communication links based on a super SIM card. The super SIM card actively acquires the surrounding network situation in real time and uses the built-in channel quality overall optimization algorithm. Based on the super SIM card's own computing and storage resources, it jointly predicts the base station access terminals and coordinates with the base station to complete the allocation of local optimal communication channels and coding optimization strategies, and completes the detection of surrounding devices and network resource coordination, thereby improving the local overall data transmission efficiency and anti-interference capability.

[0034] The following describes, with reference to the accompanying drawings, a method and apparatus for optimizing local cooperative sensing communication links based on a super SIM card, according to embodiments of the present disclosure.

[0035] Figure 1 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a super SIM card, according to an exemplary embodiment. It should be noted that the executing entity of the local cooperative sensing communication link optimization method based on a super SIM card in this embodiment can be a local cooperative sensing communication link optimization device based on a super SIM card. This device can be implemented in software and / or hardware, and can be configured in the super SIM card.

[0036] like Figure 1 As shown, the local cooperative sensing communication link optimization method based on the super SIM card may include, but is not limited to, the following steps.

[0037] In step 101, the current network connection information of the super SIM card auxiliary terminal is obtained, and the historical connection information of the terminal within the prediction period is obtained.

[0038] In the embodiments of this disclosure, the current network connection information of the super SIM card's own affiliated terminal and the historical connection information of the terminal within the prediction period can be read to provide basic data support for subsequent connection prediction.

[0039] In one possible implementation, the current network link information IL can be read from the baseband processing unit of the super SIM card's own auxiliary terminal, which can be represented as: IL=(qc,dt,bid,ns,ss,cl,l), where qc represents the transmission quality requirement, dt represents the current transmission data type, bid represents the unique identification number of the linked base station, ns represents the network standard level, ss represents the signal strength level, cl represents the number of MIMO (Multiple Input Multiple Output) channels, and l represents the location coordinates.

[0040] In one possible implementation, the historical link information HL within the prediction period tc (system parameter, issued to the Super SIM card by the link-assisted optimization management system) can be read from the Super SIM card's own historical link records, and can be represented as follows: HL=[HL1,...,HLnh ], nh represents the total number of historical link handovers within the prediction period tc. Each handover (including changes in signal strength by one level, changes in the linked base station, changes in network standard, changes in transmission quality requirements by one level, and changes in the number of MIMO channels) causes the Super SIM card to write the changed current network link information IL into the historical link record HL. For the k-th record HL in the historical link information HL... k =(qc k ,dt k bid k ,ns k ,ss k ,cl k ,l k ,t c,k ,t e,k ), where qc k Indicates the transmission quality requirement, dt k Indicates the current data type being transmitted, bid k Represents the unique identifier of the linked base station, ns k Indicates network standard level, ss k Indicates signal strength level, cl k Indicates the number of MIMO pathways, l k Represents position coordinates, t c,k ) indicates the link activation time, t e,k Indicates the link's end time.

[0041] In step 102, the link prediction algorithm model is used to predict the predicted links within the prediction period, taking the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card as input.

[0042] In the embodiments of this disclosure, the aforementioned link prediction algorithm model can be a model downloaded by the Super SIM card from the link-assisted optimization management system. This link prediction algorithm model can be a model obtained by pre-training a deep learning model using training data. It can predict links based on the current network link information of the Super SIM card's affiliated terminal, the terminal's historical link information within the prediction period, and the user behavior feature preference information recorded by the Super SIM card, thus obtaining the predicted links within the prediction period. That is, the input to the link prediction algorithm model can include the current network link information of the Super SIM card's affiliated terminal, the terminal's historical link information within the prediction period, and the user behavior feature preference information recorded by the Super SIM card; the output of the model can be the predicted links within the prediction period.

[0043] It is worth noting that the aforementioned link prediction algorithm model can be uniformly distributed by the link-assisted optimization management system. For example, this link prediction algorithm model can be a multimodal hybrid neural network model, which combines temporal analysis, classification prediction, and reinforcement learning into a neural network method. It includes an input layer (input encoding transformation), a feature fusion layer (transformers structure), a prediction layer (LSTM+Attention network), and an output layer (output encoding transformation). The input layer vectorizes the original data, the feature fusion layer uses transformers to extract and fuse features, the prediction layer uses context for association reasoning, and the output layer reverse-encodes the reasoning results to restore the standard output of the predicted link PR.

[0044] It should be noted that the execution capability of the link prediction algorithm model can be determined based on the execution capability of the Super SIM card terminal model, specifically whether the Super SIM card or its auxiliary terminal executes the model. Optionally, in some embodiments, the execution capability of the link prediction algorithm model can be evaluated based on current network link information, historical link information of the terminal within the prediction period, algorithm complexity of the link prediction algorithm model, Super SIM card computing power, idle computing power of the Super SIM card auxiliary terminal, and user behavior feature preference information recorded by the Super SIM card, thus obtaining the Super SIM card terminal model execution capability. Specifically, if the Super SIM card terminal model execution capability is less than or equal to a preset threshold, the Super SIM card is used to execute the link prediction algorithm model; or, if the Super SIM card terminal model execution capability is greater than the preset threshold, the Super SIM card auxiliary terminal is used to execute the link prediction algorithm model.

[0045] As an example, the formula for calculating the execution capability of this super SIM card terminal model can be expressed as follows:

[0046] Wherein, EB represents the execution capability of the Super SIM card terminal model; IL represents the current network connection information; HL represents the historical connection information of the terminal within the prediction period tc; OMP represents the algorithm complexity of the connection prediction algorithm model; CS represents the computing power of the Super SIM card; CT represents the idle computing power of the Super SIM card auxiliary terminal; PU represents the user behavior feature preference information recorded by the Super SIM card; nh represents the total number of historical connection switching within the prediction period tc; v() represents the vectorization transformation of the input parameters; tv() is the monotonic range transformation function, which transforms the original value into the interval between 0 and 1, tv(x)=1 / (1+e -x ).

[0047] It is worth noting that the aforementioned Super SIM card terminal model execution capability can refer to the model execution time. Comparing the Super SIM card terminal model execution capability with a preset threshold can be understood as determining whether the model execution time is within the user's preferred waiting time under fixed resource conditions. When the Super SIM card terminal model execution capability EB is less than or equal to the preset threshold, such as EB≤1, it is considered that the model execution time is within the user's preferred waiting time. This means that the Super SIM card's computing power is sufficient to support the execution of the link prediction algorithm model MP. In this case, the Super SIM card's own computing power can be directly used to execute the link prediction algorithm model MP and predict the predicted link PR within the prediction period tc.

[0048] When the Super SIM card terminal model execution capability EB is greater than the preset threshold, such as EB>1, it is considered that the model execution time exceeds the user's preferred waiting time, which means that the Super SIM card's computing power is insufficient to support the execution of the link prediction algorithm model MP. At this time, the Super SIM card can call the computing power of the auxiliary terminal to execute the link prediction algorithm model MP and predict the predicted link PR within the prediction period tc.

[0049] In step 103, the predicted link is sent to the target base station according to the target base station in the predicted link, so that the target base station includes the predicted link in the base station predicted link pool, and performs path integration adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted link.

[0050] For example, after predicting the predicted link PR within the prediction period tc using the link prediction algorithm model, the predicted link PR can be traversed, and the predicted link can be sent to the target base station BT according to the target base station BT, so that the target base station BT can perform link optimization. For example, when the target base station BT receives the predicted link sent by the Super SIM card, it can add the predicted link to the base station predicted link pool PC. The target base station can then perform base station path integration and adjustment on the predicted links in the base station predicted link pool PC to complete unified base station optimization and further improve the overall transmission effect. In one possible implementation, after the target base station BT receives the predicted link PR sent by the Super SIM card, it adds it to the base station predicted link pool PC. The target base station can perform network standard joint dynamic integration and MIMO path joint dynamic integration on the predicted links in the base station predicted link pool PC. After completing the integration and adjustment, the predicted links that are first or have changed significantly are updated to the updated predicted links, i.e., the integrated predicted links are obtained and sent to the corresponding Super SIM card. The rest remain unchanged from the previous predicted links. As an example, the criterion for judging significant changes can be:

[0051] Among them, PR cPR1 represents the predicted link after the current update, PR2 represents the predicted link after the previous update, and PCL represents the lower bound system coefficient for the predicted link change update.

[0052] In step 104, a predicted link is received from the target base station, and a data link is established according to the predicted link sent by the target base station.

[0053] In some embodiments, after receiving a predicted link from the target base station (which is a link obtained after integration and adjustment by the target base station), it is checked whether a connection to the target base station can be established according to the creation time in the predicted link sent by the target base station. If a connection to the target base station can be established according to the creation time in the predicted link sent by the target base station, a data communication link can be established according to the predicted link sent by the target base station; or, if a connection cannot be established according to the creation time in the predicted link sent by the target base station, a real-time connection can be established according to the current base station linking method.

[0054] For example, after receiving the predicted link, the Super SIM card subtracts the link creation period parameter ptc from the creation time tc in the predicted link and initiates a link creation check task to check whether it can establish a link to the target base station as predicted. If the check shows that it can establish a link to the target base station as predicted, a data communication link is established according to the predicted link; if the check shows that it cannot establish a link to the target base station as predicted, a real-time link is established according to the current base station linking method.

[0055] In the above embodiments, the Super SIM card actively acquires the edge network situation in real time, and uses the built-in channel quality overall optimization algorithm. Based on the Super SIM card's own computing and storage resources, it jointly predicts the base station access terminal and coordinates with the base station to complete the allocation of the local optimal communication channel and coding optimization strategy, and completes the detection of peripheral devices and network resource coordination, thereby improving the local overall data transmission efficiency and anti-interference capability.

[0056] Figure 2 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a super SIM card, according to an exemplary embodiment. It should be noted that the executing entity of the local cooperative sensing communication link optimization method based on a super SIM card in this embodiment can be a local cooperative sensing communication link optimization device based on a super SIM card. This device can be implemented in software and / or hardware, and can be configured in the super SIM card.

[0057] like Figure 2 As shown, the local cooperative sensing communication link optimization method based on the super SIM card may include, but is not limited to, the following steps.

[0058] In step 201, the current network connection information of the super SIM card auxiliary terminal is obtained, and the historical connection information of the terminal within the prediction period is obtained.

[0059] Optionally, step 201 can be implemented using any of the implementation methods in the various embodiments of this disclosure. This disclosure does not limit this implementation and will not elaborate further.

[0060] In step 202, the link prediction algorithm model is loaded from the Super SIM card's own storage.

[0061] Optionally, after loading the link prediction algorithm model from the Super SIM card's own storage, a version verification can be performed on the link prediction algorithm model based on a fingerprint algorithm. This ensures the validity of the link prediction algorithm model version and improves security. In one possible implementation, the fingerprint MF of the link prediction algorithm model MP can be read from the link-assisted optimization management system. The same fingerprint extraction algorithm is then applied to the link prediction algorithm model MP loaded from the Super SIM card's own storage to obtain the local algorithm fingerprint LMF. When the fingerprint MF matches the local algorithm fingerprint LMF, the verification passes, and subsequent processes are executed. When the fingerprint MF does not match the local algorithm fingerprint LMF, the verification fails, and the Super SIM card can update the link prediction algorithm model MP again from the link-assisted optimization management system. After the update is completed, version verification continues.

[0062] In step 203, the execution capability of the link prediction algorithm model is evaluated based on the current network link information, the historical link information of the terminal within the prediction period, the algorithm complexity of the link prediction algorithm model, the computing power of the Super SIM card, the idle computing power of the Super SIM card auxiliary terminal, and the user behavior feature preference information recorded by the Super SIM card, so as to obtain the execution capability of the Super SIM card terminal model.

[0063] As an example, the formula for calculating the execution capability of this super SIM card terminal model can be expressed as follows: For example, the execution capability of the super SIM card terminal model can be calculated using the calculation formula based on the current network connection information, the terminal's historical connection information within the prediction period, the algorithm complexity of the connection prediction algorithm model, the super SIM card's computing power, the idle computing power of the super SIM card's auxiliary terminal, and the user behavior feature preference information recorded by the super SIM card. This execution capability is then compared to a preset threshold. If the super SIM card terminal model's execution capability is less than or equal to the preset threshold, step 204 is executed; if the super SIM card terminal model's execution capability is greater than the preset threshold, step 205 is executed. In other words, steps 204 and 205 are steps executed under different conditions.

[0064] In step 204, if the execution capability of the Super SIM card terminal model is less than or equal to a preset threshold, the Super SIM card is used to execute the link prediction algorithm model.

[0065] For example, when the Super SIM card terminal model execution capability EB is less than or equal to a preset threshold, such as EB≤1, it means that the Super SIM card computing power is sufficient to support the execution of the link prediction algorithm model MP. At this time, the Super SIM card's own computing power can be used directly to execute the link prediction algorithm model MP. That is, the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card are used as inputs to predict the predicted link PR within the prediction period tc.

[0066] In some embodiments, the above-described link prediction algorithm model may include: determining the directional velocity of the Super SIM card within the prediction period by the directional acceleration trend; obtaining the estimated number of links np within the prediction period by using the prediction period and directional velocity; performing np iterations of the estimated number of links, with each iteration taking the current network link information, the historical link information of the terminal within the prediction period, the user behavior feature preference information recorded by the Super SIM card, the iteration number ni, and the directional velocity as inputs, performing link prediction algorithm model inference to obtain the ni-th predicted link, and obtaining the predicted links within the prediction period after the iteration is completed.

[0067] For example, the specific process of executing the above-mentioned link prediction algorithm model may include the following steps 1) to 3): Step 1) The SuperSIM card evaluates the directional velocity VP within the prediction period tc.

[0068] The SuperSIM card can obtain the directional velocity VP within the evaluation prediction period tc using the following method:

[0069] The VEP() function represents the directional acceleration trend, which can be obtained through the following method: First, solve the following equation to obtain the weight parameters. a 1. a 2. a 3:

[0070] at this time: Among them, l k Indicates the k-th position; l k- Indicates the (k-1)th position; t s,k t represents the time measured at the k-th position; s,k+1This represents the time measured at the (k-1)th position.

[0071] Step 2) Obtain the predicted link quantity np within the prediction period tc by using the quantity prediction period tc and the directional velocity VP. For example, the predicted link quantity np can be obtained as follows: .

[0072] Step 3) Perform np iterations of the predicted number of links. Each iteration takes the current network link information IL, the terminal's historical link information HL within the prediction period tc, the user behavior feature preference information PU recorded by the Super SIM card, the iteration number ni, and the directional velocity VP as inputs to perform inference on the link prediction algorithm model and obtain the ni-th predicted link PR. ni After the iteration is completed, the predicted link PR is obtained.

[0073] In step 205, if the execution capability of the Super SIM card terminal model is greater than a preset threshold, the link prediction algorithm model is executed using the Super SIM card auxiliary terminal.

[0074] For example, when the Super SIM card terminal model execution capability EB is greater than a preset threshold, such as EB>1, it indicates that the Super SIM card's computing power is insufficient to support the execution of the link prediction algorithm model MP. In this case, the Super SIM card calls upon the computing power of the auxiliary terminal to execute the link prediction algorithm model MP. That is, it uses the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card as input to predict the predicted link PR within the prediction period tc. The implementation method of executing the link prediction algorithm model MP in this step can be found in the description of the specific process of executing the link prediction algorithm model MP in step 204 above, and will not be repeated here.

[0075] To ensure the usability of the prediction results, the predicted links generated by the link prediction algorithm model MP can be corrected (adaptation conversion). Optionally, in some embodiments, based on any one or a set of the above embodiments, such as... Figure 2 As shown, the local cooperative sensing communication link optimization method based on the super SIM card may further include the following steps 206 and 207.

[0076] In step 206, dynamic state coordination is performed through the current link to obtain the consistency of the motion state between the Super SIM card and the surrounding Super SIM cards.

[0077] In some embodiments, a motion state consistency synchronization message is sent to the currently linked base station. This synchronization message may include the super SIM card's directional velocity and coordinate position within the prediction period. The synchronization message is used by the base station to locate all super SIM cards linked to itself whose coordinates are within its synchronization check range, and to calculate the motion state consistency between the super SIM card and its surrounding super SIM cards based on the directional velocity of the checked super SIM card. The motion state consistency between the super SIM card and its surrounding super SIM cards is then received from the base station.

[0078] For example, after a SuperSIM card obtains the directional velocity VP of tc within the prediction period (evaluation), it can send a surrounding motion state consistency synchronization message M to the currently linked base station. This message may contain: directional velocity VP and coordinate position l. After receiving the consistency synchronization message M, the base station can search for all SuperSIM cards linked to itself whose coordinate l' is within the synchronization check range ca of coordinate position l. After subtracting VP from directional velocity VP', the number of SuperSIM cards whose magnitude is less than the synchronization error range PE after dividing by the magnitude of directional velocity VP' is the total number of SuperSIM cards within the synchronization check range ca, thus obtaining the motion state consistency.

[0079] As an example, the formula for calculating the consistency of the motion state of this Super SIM card with that of surrounding Super SIM cards is as follows:

[0080] Where VP' is the directional velocity fed back to the base station by the super SIM card under inspection; VP is the directional velocity of the super SIM card within the prediction period; l is the coordinate position of the super SIM card within the prediction period; l' is the position fed back to the base station by the super SIM card under inspection; PE is the system coefficient; ca is the synchronization check range, ca=(VP tc) / c, where c is the speed of light; cou is a counting function, the result of which is the number of elements in the counted set.

[0081] In step 207, the predicted link predicted by the link prediction algorithm model is corrected based on the consistency of the motion state between the Super SIM card and the surrounding Super SIM cards.

[0082] It is worth noting that the predicted link PR obtained by the link prediction algorithm model is itself a model inference result. By adapting the output result, the usability of the prediction result can be ensured. In some embodiments, the optional implementation of correcting the predicted link predicted by the link prediction algorithm model may include: using the location in the predicted link predicted by the link prediction algorithm model to query the base station of the location in the positioning system as the target base station of the predicted link; truncating the network standard level value in the predicted link predicted by the link prediction algorithm model to the range supported by the target base station; truncating the transmission quality requirement value in the predicted link predicted by the link prediction algorithm model to the range supported by the target base station; truncating the MIMO path value in the predicted link predicted by the link prediction algorithm model to the range supported by the target base station; and performing secondary optimization on the link quality in the predicted link predicted by the link prediction algorithm model based on the consistency of the motion state of the Super SIM card and surrounding Super SIM cards.

[0083] For example, taking location l in the predicted link PR, the base station at that location is queried in a positioning system (such as an LBS positioning system) as the target base station BT for the predicted link. Network standard level check: The network standard level ns in the predicted link PR is thresholded according to the target base station BT, that is, the network standard level ns value is truncated to the range supported by the target base station BT. Quality check: The transmission quality requirement qc in the predicted link PR is thresholded according to the target base station BT, that is, the transmission quality requirement qc value is truncated to the range supported by the target base station BT. MIMO path check: The MIMO path cl in the predicted link PR is thresholded according to the target base station BT, that is, the MIMO path cl value is truncated to the range supported by the target base station BT. Link quality super SIM secondary optimization: The link quality qc in the predicted link PR is further optimized according to the consistency of its own and surrounding super SIM card motion states AS. As an example, the link quality qc in the predicted link PR is further optimized using the following formula:

[0084] Where qc' represents the link quality after secondary optimization; mc represents the minimum quality requirement; ms represents the maximum signal strength level; and ss represents the signal strength level in the predicted link PR.

[0085] Through secondary optimization, the communication quality of other Super SIM cards can be minimized by increasing the signal transmission power of a single Super SIM card.

[0086] In step 208, the predicted link is sent to the target base station according to the target base station in the predicted link, so that the target base station includes the predicted link in the base station predicted link pool and performs path integration adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted link.

[0087] Optionally, step 208 can be implemented using any of the implementation methods in the various embodiments of this disclosure. This disclosure does not limit this implementation and will not elaborate further.

[0088] In step 209, a predicted link is received from the target base station, and a data link is established according to the predicted link sent by the target base station.

[0089] Optionally, step 209 can be implemented using any of the implementation methods in the various embodiments of this disclosure. This disclosure does not limit this implementation and will not elaborate further.

[0090] In the above embodiments, the Super SIM card obtains preliminary predictions based on its historical data and completes data correction to ensure the availability of the prediction results. By jointly optimizing the prediction results with the base station, the Super SIM card's predictions can reduce mutual interference with other communications, improve the overall local transmission effect, and enhance the overall local data transmission efficiency and anti-interference capability.

[0091] Figure 3 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a Super SIM card, according to an exemplary embodiment. It should be noted that the executing entity of the local cooperative sensing communication link optimization method based on a Super SIM card in this embodiment can be a Super SIM card-based local cooperative sensing communication link optimization device. This device can be implemented in software and / or hardware, and can be configured in a base station. For example, the base station can be the target base station in this document, i.e., the target base station in the predicted link sent by the Super SIM card.

[0092] like Figure 3 As shown, the local cooperative sensing communication link optimization method based on the super SIM card may include, but is not limited to, the following steps.

[0093] In step 301, the predicted link sent by the Super SIM card is received.

[0094] In the embodiments of this disclosure, the predicted link can be predicted based on a link prediction algorithm model. The input to the link prediction algorithm model may include the current network link information of the Super SIM card's auxiliary terminal, the terminal's historical link information within the prediction period, and user behavior feature preference information recorded by the Super SIM card. The implementation method of predicting the predicted link using the link prediction algorithm model can be found in the description of the relevant steps in the Super SIM card side-side embodiments above, and will not be repeated here. Optionally, the Super SIM card can send the predicted link output by the link prediction algorithm model to the target base station in the predicted link, and the target base station receives the predicted link sent by the Super SIM card. Optionally, after obtaining the predicted link output by the link prediction algorithm model, the Super SIM card can correct the predicted link and send the corrected predicted link to the target base station in the predicted link, and the target base station receives the predicted link sent by the Super SIM card. The implementation method of correcting the predicted link can be found in the relevant description in the Super SIM card side-side method embodiments above, and will not be repeated here.

[0095] In step 302, the predicted links are included in the base station predicted link pool, and the predicted links in the base station predicted link pool are adjusted by path integration to obtain the integrated predicted links.

[0096] In the embodiments of this disclosure, after receiving the predicted link sent by the Super SIM card, the base station can include the predicted link in the base station predicted link pool, and perform base station path integration and adjustment on the predicted links in the base station predicted link pool to complete the unified optimization of the base station, which can further improve the overall transmission effect.

[0097] In some embodiments, the network types whose total number of network types exceeds the lower limit of the proportion optimization among all predicted links in the base station predicted link pool can be obtained, and the predicted links that are not of this network type can be adjusted to the network type with the largest proportion. The number of MIMO paths in all predicted links can be summarized as the total number of MIMO paths. If the total number of MIMO paths is greater than the base station MIMO path multiplication idle multiplexing ratio PR, the number of MIMO paths in the predicted links can be adjusted according to the transmission quality and signal strength level, direction speed, and motion state consistency in the predicted links. After each predicted link of the Super SIM card is received and the integration adjustment is completed, the predicted links that are first or have changed significantly are updated to the predicted links after the current update, thus obtaining the integrated predicted links.

[0098] For example, the base station can perform joint dynamic integration of network standards, that is: the base station obtains all predicted links in the predicted link pool PC, obtains all network standards whose total number of network standards exceeds the lower limit of the optimization limit PBL (system parameter, adjustable, default is, for example, 60%), and adjusts the type of predicted links that are not of this network standard to the network standard with the largest proportion. The base station performs joint dynamic integration of MIMO paths, that is: the base station obtains all predicted link PCs in the predicted link pool PC, summarizes the number of MIMO paths in them as the total number of MIMO paths, when the total number of MIMO paths is greater than the idle-multiplexing ratio PR of the base station's MIMO paths, the number of MIMO paths c1 of the predicted link PR is adjusted according to the transmission quality qc, signal strength level ss, directional velocity VP, and motion state consistency AS in the predicted link PC, according to the following method:

[0099] Where cl' represents the number of predicted link MIMO paths after dynamic integration, and the base station MIMO path multiplication time-idle multiplexing ratio PR represents the ratio between the maximum number of virtual equal MIMO channels that the base station can provide through time division multiplexing, frequency division multiplexing, and idle suspension methods and the number of physical MIMO channels.

[0100] After receiving and integrating the predicted links from the Super SIM card, the base station can update the first or most significantly changed predicted links with the updated predicted links and distribute them to the corresponding Super SIM cards. The remaining predicted links will remain unchanged. As an example, the criteria for determining significant changes could be:

[0101] Among them, PR c PR1 represents the predicted link after the current update, PR2 represents the predicted link after the previous update, and PCL represents the lower bound system coefficient for the predicted link change update.

[0102] In step 303, the integrated predicted link is sent to the Super SIM card so that the Super SIM card can establish a data link according to the predicted link sent by the base station.

[0103] In embodiments of this disclosure, the base station can send the integrated predicted link to the corresponding Super SIM card. After receiving the predicted link from the base station, the Super SIM card can establish a data link according to the predicted link. For example, after receiving the predicted link sent by the base station (which is a link obtained after integration and adjustment by the base station), the Super SIM card checks whether it can connect to the base station according to the creation time in the predicted link. If it can connect to the base station according to the creation time in the predicted link, a data communication link can be established according to the predicted link; or, if it cannot connect to the base station according to the creation time in the predicted link, a real-time connection can be established using the current base station connection method.

[0104] In the above embodiments, the Super SIM card actively acquires the edge network situation in real time, and uses the built-in channel quality overall optimization algorithm. Based on the Super SIM card's own computing and storage resources, it jointly predicts the base station access terminal and coordinates with the base station to complete the allocation of the local optimal communication channel and coding optimization strategy, and completes the detection of peripheral devices and network resource coordination, thereby improving the local overall data transmission efficiency and anti-interference capability.

[0105] Figure 4 This is a block diagram illustrating a local cooperative sensing communication link optimization system based on a super SIM card, according to an exemplary embodiment. Figure 4 As shown, the local cooperative sensing communication link optimization system based on a Super SIM card may include a Super SIM card 401 and a base station 402. The Super SIM card 401 can be configured to execute the local cooperative sensing communication link optimization method based on a Super SIM card in the above-described Super SIM card-side method embodiment. The base station 402 can be configured to execute the local cooperative sensing communication link optimization method based on a Super SIM card in the above-described base station-side method embodiment. Further details are omitted here.

[0106] Figure 5 This is a flowchart illustrating a local cooperative sensing communication link optimization method based on a super SIM card, according to an exemplary embodiment. Figure 5 As shown, the implementing entity of this method can be a local cooperative sensing communication link optimization system based on a super SIM card, and the method may include, but is not limited to, the following steps.

[0107] In step 501, the Super SIM card reads the current network connection information of its own auxiliary terminal and obtains the historical connection information of the terminal within the prediction period.

[0108] In step 502, the Super SIM card uses a link prediction algorithm model, taking the current network link information of its own affiliated terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card as input, to predict the predicted link within the prediction period.

[0109] In step 503, the predicted link is sent to the target base station according to the target base station in the predicted link.

[0110] For example, the target base station is base station BT.

[0111] In step 504, after the target base station receives the predicted link PR sent by the super SIM card, it includes it in the base station predicted link pool PC and performs path integration adjustment on the predicted link PR in the base station predicted link pool PC to obtain the integrated predicted link PR.

[0112] In step 505, after receiving the predicted link, the Super SIM card establishes a data link based on the predicted link.

[0113] The implementation methods of steps 501-505 above can be found in the description of the relevant steps in the above Super SIM card and base station side method embodiments, and will not be repeated here.

[0114] Figure 6 This is a block diagram illustrating a local cooperative sensing communication link optimization device based on a super SIM card, according to an exemplary embodiment. The device can be configured on a super SIM card. Figure 6 As shown, the local collaborative sensing communication link optimization device based on the super SIM card may include: a first acquisition module 601, a second acquisition module 602, a prediction module 603, a sending module 604, and a link establishment module 605.

[0115] The first acquisition module 601 is used to acquire the current network connection information of the super SIM card auxiliary terminal.

[0116] The second acquisition module 602 is used to acquire the historical connection information of the terminal within the prediction period.

[0117] The prediction module 603 is used to predict the predicted links within the prediction period by using the link prediction algorithm model, taking the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card as input.

[0118] The sending module 604 is used to send the predicted link to the target base station according to the target base station in the predicted link, so that the target base station will include the predicted link in the base station predicted link pool, and perform path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted link.

[0119] The link establishment module 605 is used to receive the predicted link sent by the target base station and establish a data link according to the predicted link sent by the target base station.

[0120] In some embodiments, the prediction module 603 is further configured to: evaluate the execution capability of the link prediction algorithm model based on the current network link information, the terminal's historical link information within the prediction period, the algorithm complexity of the link prediction algorithm model, the computing power of the Super SIM card, the idle computing power of the Super SIM card's auxiliary terminal, and the user behavior feature preference information recorded by the Super SIM card, thereby obtaining the Super SIM card terminal model execution capability. Specifically, if the Super SIM card terminal model execution capability is less than or equal to a preset threshold, the Super SIM card is used to execute the link prediction algorithm model; or, if the Super SIM card terminal model execution capability is greater than the preset threshold, the Super SIM card's auxiliary terminal is used to execute the link prediction algorithm model.

[0121] In some embodiments, the prediction module 603 is further configured to: obtain the motion state consistency between the Super SIM card and surrounding Super SIM cards through dynamic state coordination of the current link; and correct the predicted link predicted by the link prediction algorithm model based on the motion state consistency between the Super SIM card and surrounding Super SIM cards.

[0122] In some embodiments, the prediction module 603 is further configured to: send a synchronization message on the motion state consistency of the surrounding super SIM cards to the currently linked base station, the synchronization message including: the directional velocity and coordinate position of the super SIM card within the prediction period, the synchronization message being used by the base station to find all super SIM cards linked to itself whose coordinates are within the synchronization check range of the coordinate position, and to calculate the motion state consistency between the super SIM card and the surrounding super SIM cards based on the directional velocity of the checked super SIM card; receive the motion state consistency of the super SIM card and the surrounding super SIM cards sent by the base station; wherein, the calculation formula for the motion state consistency of the super SIM card and the surrounding super SIM cards is expressed as follows:

[0123] Wherein, VP' is the directional velocity fed back to the base station by the inspected SuperSIM card; VP is the directional velocity of the SuperSIM card within the prediction period; l is the coordinate position of the SuperSIM card within the prediction period; l' is the position fed back to the base station by the inspected SuperSIM card; PE is the system coefficient; ca is the synchronization check range; and cou is the counting function, the result of which is the number of elements in the statistical set.

[0124] In some embodiments, the prediction module 603 is further configured to: query the location of the base station in the positioning system as the target base station of the predicted link based on the location in the predicted link predicted by the link prediction algorithm model; truncate the network standard level value in the predicted link predicted by the link prediction algorithm model to the range supported by the target base station; truncate the transmission quality requirement value in the predicted link predicted by the link prediction algorithm model to the range supported by the target base station; truncate the MIMO path value in the predicted link predicted by the link prediction algorithm model to the range supported by the target base station; and perform secondary optimization on the link quality in the predicted link predicted by the link prediction algorithm model based on the consistency of the motion state between the Super SIM card and surrounding Super SIM cards.

[0125] In some embodiments, executing the link prediction algorithm model includes: determining the directional velocity of the Super SIM card within a prediction period based on the directional acceleration trend; obtaining the estimated number of links np within the prediction period based on the prediction period and the directional velocity; performing np iterations of the estimated number of links, with each iteration taking the current network link information, the historical link information of the terminal within the prediction period, the user behavior feature preference information recorded by the Super SIM card, the iteration number ni, and the directional velocity as inputs, and performing link prediction algorithm model inference to obtain the ni-th predicted link. After the iteration is completed, the predicted links within the prediction period are obtained.

[0126] In some embodiments, the link establishment module 605 is configured to: create a data communication link according to the predicted link sent by the target base station if the creation time check in the predicted link sent by the target base station indicates that the link can be established to the target base station according to the predicted link; or, if the creation time check in the predicted link sent by the target base station indicates that the link cannot be established to the target base station according to the predicted link, perform a real-time linking according to the current base station linking method.

[0127] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0128] Figure 7 This is a block diagram illustrating a local cooperative sensing communication link optimization device based on a super SIM card, according to an exemplary embodiment. The device can be configured in a base station. Figure 7 As shown, the local collaborative sensing communication link optimization device based on the super SIM card may include: a receiving module 701, an optimization module 702, and a sending module 703.

[0129] The receiving module 701 is used to receive the predicted link sent by the Super SIM card. The predicted link is based on the link prediction algorithm model. The input of the link prediction algorithm model includes the current network link information of the Super SIM card's affiliated terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card.

[0130] The optimization module 702 is used to include the predicted links into the base station predicted link pool and to perform path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted links.

[0131] The sending module 703 is used to send the integrated predicted link to the Super SIM card so that the Super SIM card can establish a data link according to the predicted link sent by the base station.

[0132] In some embodiments, the optimization module 702 is used to: obtain all network standards in the base station prediction link pool whose total number of network standards exceeds the lower limit of the proportion optimization, and adjust the type of prediction links that are not of this network standard to the network standard with the largest proportion; summarize the number of MIMO paths in all prediction links as the total number of MIMO paths, and when the total number of MIMO paths is greater than the base station MIMO path multiplication idle multiplexing ratio PR, adjust the number of MIMO paths in the prediction links according to the transmission quality and signal strength level, direction speed, and motion state consistency in the prediction links; after each prediction link of the Super SIM card is received and the integration adjustment is completed, update the prediction links that are first or have changed significantly to the prediction links after the current update, that is, obtain the integrated prediction links.

[0133] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0134] Figure 8 This is a block diagram illustrating an electronic device 800 according to an exemplary embodiment. For example, the electronic device 800 may be a base station, a super SIM card, or a terminal (such as a smartphone, tablet, etc.).

[0135] Reference Figure 8 The electronic device 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, an input / output (I / O) interface 812, and a communication component 816.

[0136] Processing component 802 typically controls the overall operation of device 800. Processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the method described above. In addition, processing component 802 may include one or more modules to facilitate interaction between processing component 802 and other components.

[0137] Memory 804 is configured to store various types of data to support the operation of electronic device 800. Examples of this data include instructions for any application or method operating on electronic device 800. Memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0138] Power component 806 provides power to various components of electronic device 800. Power component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 800.

[0139] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc.

[0140] Communication component 816 is configured to facilitate wired or wireless communication between electronic device 800 and other devices. Electronic device 800 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 816 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 816 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0141] In an exemplary embodiment, the electronic device 800 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0142] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, which can be executed by a processor 820 of an electronic device 800 to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0143] In an exemplary embodiment, a program product is also provided, including at least one of a program and instructions, wherein the at least one of the program and instructions, when executed by an electronic device, implements the steps of the above-described method. For example, the at least one of the program and instructions can implement the steps of the above-described method when executed by a processor 820 of an electronic device 800.

[0144] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0145] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for local co-sensing communication link optimization based on super-SIM card, characterized in that, The method is applied to a Super SIM card, and the method includes: Obtain the current network connection information of the super SIM card auxiliary terminal, and obtain the historical connection information of the terminal within the prediction period; Using a link prediction algorithm model, the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card are used as inputs to predict the predicted links within the prediction period. According to the target base station in the predicted link, the predicted link is sent to the target base station so that the target base station includes the predicted link in the base station predicted link pool and performs path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted link; Upon receiving the predicted link sent by the target base station, a data link is established according to the predicted link sent by the target base station.

2. The method of claim 1, wherein, The method further includes: Based on the current network connection information, the historical connection information of the terminal within the prediction period, the algorithm complexity of the connection prediction algorithm model, the computing power of the Super SIM card, the idle computing power of the Super SIM card auxiliary terminal, and the user behavior feature preference information recorded by the Super SIM card, the execution capability of the connection prediction algorithm model is evaluated to obtain the execution capability of the Super SIM card terminal model. Specifically, if the execution capability of the Super SIM card terminal model is less than or equal to a preset threshold, the Super SIM card is used to execute the link prediction algorithm model; or, if the execution capability of the Super SIM card terminal model is greater than the preset threshold, the Super SIM card auxiliary terminal is used to execute the link prediction algorithm model.

3. The method according to claim 1 or 2, characterized in that, The method further includes: By dynamically coordinating the current links, the consistency of the movement state between the Super SIM card and surrounding Super SIM cards is obtained; Based on the consistency of the movement states of the Super SIM card and surrounding Super SIM cards, the predicted links predicted by the link prediction algorithm model are corrected.

4. The method of claim 3, wherein, The process of dynamically coordinating the current link to obtain the consistency of the movement state between the Super SIM card and surrounding Super SIM cards includes: Send a synchronization message on the motion state consistency of the surrounding super SIM card to the currently linked base station. The synchronization message includes the directional velocity and coordinate position of the super SIM card within the prediction period. The synchronization message is used by the base station to find all super SIM cards that are linked to the base station itself and whose coordinates are within the synchronization check range of the coordinate position. The base station calculates the motion state consistency between the super SIM card and the surrounding super SIM cards based on the directional velocity of the checked super SIM card and the directional velocity of the super SIM card. The consistency of the movement state of the received super SIM card with that of surrounding super SIM cards, as transmitted by the base station; The formula for calculating the consistency of the movement state between the Super SIM card and surrounding Super SIM cards is as follows: Wherein, VP' is the directional velocity fed back to the base station by the super SIM card under inspection; VP is the directional velocity of the super SIM card within the prediction period; l is the coordinate position of the super SIM card within the prediction period; l' is the position fed back to the base station by the super SIM card under inspection; PE is the system coefficient; ca is the synchronization check range; and cou is a counting function, the result of which is the number of elements in the statistical set.

5. The method according to claim 3, characterized in that, The step of correcting the predicted link based on the consistency of the movement states of the super SIM card and surrounding super SIM cards includes: Using the location in the predicted link predicted by the link prediction algorithm model, the base station at the predicted location is queried in the positioning system as the target base station of the predicted link; The network standard level value in the predicted link predicted by the link prediction algorithm model is truncated to the range supported by the target base station; The transmission quality requirement value in the predicted link predicted by the link prediction algorithm model is truncated to the range supported by the target base station; The MIMO path values ​​in the predicted links generated by the link prediction algorithm model are truncated to the range supported by the target base station; The link quality in the predicted links predicted by the link prediction algorithm model is further optimized based on the consistency of the movement state of the Super SIM card and surrounding Super SIM cards.

6. The method according to claim 2, characterized in that, The execution of the link prediction algorithm model includes: The directional velocity of the super SIM card within the prediction period is determined by the directional acceleration trend; The predicted number of links np within the prediction period is obtained by using the prediction period and the directional velocity. The link prediction algorithm is executed for np rounds of iteration. Each round of iteration takes the current network link information, the terminal's historical link information within the prediction period, the user behavior feature preference information recorded by the Super SIM card, the iteration round number ni, and the directional speed as inputs. The link prediction algorithm model is then used to infer the ni-th predicted link. After the iteration is completed, the predicted links within the prediction period are obtained.

7. The method according to claim 1, characterized in that, The step of establishing a data link according to the predicted link sent by the target base station includes: If, based on the creation time in the predicted link sent by the target base station, a connection can be established to the target base station according to the predicted link, then a data communication link is created according to the predicted link sent by the target base station; or... If a connection to the target base station cannot be established according to the predicted link creation time as sent by the target base station, a real-time connection is established according to the current base station connection method.

8. A method for optimizing local cooperative sensing communication links based on a super SIM card, characterized in that, The method is applied to a base station, and the method includes: The system receives a predicted link sent by the Super SIM card. The predicted link is based on a link prediction algorithm model. The input of the link prediction algorithm model includes the current network link information of the Super SIM card's affiliated terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card. The predicted links are incorporated into the base station predicted link pool, and the predicted links in the base station predicted link pool are adjusted by path integration to obtain the integrated predicted links. The integrated predicted link is sent to the Super SIM card so that the Super SIM card establishes a data link according to the predicted link sent by the base station.

9. The method according to claim 8, characterized in that, The step of integrating and adjusting the predicted links in the base station predicted link pool to obtain the integrated predicted links includes: Obtain all network types in the predicted links in the base station predicted link pool whose total number of network types exceeds the lower limit of the proportion optimization, and adjust the type of the predicted links that are not of this network type to the network type with the largest proportion. The total number of MIMO paths in all predicted links is summed as the total number of MIMO paths. If the total number of MIMO paths is greater than the base station MIMO path multiplication idle multiplexing ratio (PR), the number of MIMO paths in the predicted links is adjusted according to the transmission quality and signal strength level, direction velocity, and motion state consistency in the predicted links. After each predicted link received from the Super SIM card and the integration and adjustment are completed, the first predicted link or the one that has changed significantly is updated to the predicted link of the current update, thus obtaining the integrated predicted link.

10. A local cooperative sensing communication link optimization device based on a super SIM card, characterized in that, The device is configured on a super SIM card, and the device includes: The first acquisition module is used to acquire the current network connection information of the super SIM card auxiliary terminal; The second acquisition module is used to acquire historical connection information of the terminal within the prediction period; The prediction module is used to predict the predicted links within the prediction period by using a link prediction algorithm model, taking the current network link information of the auxiliary terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card as input. The sending module is configured to send the predicted link to the target base station according to the target base station in the predicted link, so that the target base station includes the predicted link in the base station predicted link pool and performs path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted link. The link establishment module is used to receive the predicted link sent by the target base station and establish a data link according to the predicted link sent by the target base station.

11. A local cooperative sensing communication link optimization device based on a super SIM card, characterized in that, The device is configured in a base station, and the device includes: The receiving module is used to receive the predicted link sent by the Super SIM card. The predicted link is predicted based on the link prediction algorithm model. The input of the link prediction algorithm model includes the current network link information of the Super SIM card's affiliated terminal, the historical link information of the terminal within the prediction period, and the user behavior feature preference information recorded by the Super SIM card. An optimization module is used to include the predicted links into the base station predicted link pool and to perform path integration and adjustment on the predicted links in the base station predicted link pool to obtain the integrated predicted links. The sending module is used to send the integrated predicted link to the super SIM card, so that the super SIM card establishes a data link according to the predicted link sent by the base station.

12. An electronic device, characterized in that, include: One or more processors; The processor is configured to invoke instructions to cause the electronic device to perform the method of any one of claims 1-6 and 7-8.

13. A storage medium storing instructions, characterized in that, When the instructions are executed on an electronic device, the electronic device causes the electronic device to perform the method of any one of claims 1-6 and 7-8.

14. A program product comprising at least one of a program and instructions, characterized in that, When at least one of the program or instructions is executed by an electronic device, it implements the steps of the method according to any one of claims 1-6 and 7-8.

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