Communication enhancement method, device, equipment and storage medium based on 5G RedCap

Abstract

The present application discloses a communication enhancement method, device, equipment and storage medium based on 5G RedCap, which relates to the field of wireless communication network technology. The method includes: monitoring real-time data transmission to determine the uplink and downlink amounts of data transmission; when the uplink amount or downlink amount is greater than the switching threshold, generating a corresponding unilateral switching instruction; slicing the current data transmission path based on the unilateral switching instruction to obtain multiple transmission path fragments; performing edge calculations on the multiple transmission path fragments respectively to determine the confidence of the transmission path fragments; determining the target transmission link according to the confidence, and switching the current transmission path to the target transmission link. Through the above method, the network communication data volume can be detected, and the communication mode of this data transmission can be determined. When the network communication data volume exceeds the load capacity of RedCap, the communication mode can be adaptively switched to enhance the communication capability of RedCap.

Description

Technical Field

[0001] The present application relates to the field of wireless communication network technology, and in particular to a communication enhancement method, apparatus, device and storage medium based on 5G RedCap. Background Art

[0002] In 5G networks, RedCap devices are widely used in the IoT field due to their lower bandwidth requirements and cost-effectiveness. However, when these devices face sudden high data transmission demands, traditional RedCap configurations may not provide sufficient performance. Therefore, designing a mechanism that can automatically switch to eMBB mode when high transmission load is detected is crucial to improving user experience and network efficiency. At present, when implementing mode switching, the mode differentiation and switching are based on the reported user device type during the random access process. However, this method may fail to switch or be stuck when there are fewer XN interfaces configured between different manufacturers during mode switching.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of this application is to provide a communication enhancement method, device, equipment and storage medium based on 5G RedCap, aiming to solve the technical problem in the prior art that the communication mode cannot be flexibly and adaptively switched according to the data communication volume, resulting in poor communication quality.

[0005] To achieve the above objectives, the present application provides a communication enhancement method based on 5G RedCap, the method comprising:

[0006] Monitor real-time data transmission and determine the uplink and downlink data transmission volume;

[0007] When the uplink amount or the downlink amount is greater than a switching threshold, generating a corresponding unilateral switching instruction;

[0008] Slicing the current data transmission path based on the unilateral switching instruction to obtain a plurality of transmission path segments;

[0009] Performing edge computing on each of the plurality of transmission path segments to determine the confidence of the transmission path segments;

[0010] A target transmission link is determined according to the confidence level, and a current transmission path is switched to the target transmission link.

[0011] In one embodiment, the step of slicing the current data transmission path based on the unilateral switching instruction to obtain a plurality of transmission path segments includes:

[0012] Extracting node information of the current data transmission path based on the unilateral switching instruction and generating a node chain;

[0013] Parsing the node information to obtain the link status, delay and bandwidth of the node;

[0014] Obtaining a node score according to the link state, the delay, the bandwidth and the scoring weight;

[0015] When the node score is lower than the target node score, the node corresponding to the node score is determined as a slice node;

[0016] The node chain is sliced ​​into a plurality of transmission path segments based on the slice node.

[0017] In one embodiment, the step of performing edge computing on the plurality of transmission path segments to determine the confidence of the transmission path segments comprises:

[0018] Detecting multiple transmission path segments respectively, determining node connection relationships of nodes in the transmission path, and determining nodes with data connections as relative edge nodes according to the node connection relationships;

[0019] Analyzing the communication log of the relative edge node, extracting the evaluation information of the relative edge node on each node in the transmission path segment, and aggregating the evaluation information into an evaluation information set;

[0020] Perform edge computing based on the evaluation information set, transmit the evaluation information set to an edge computing node, obtain edge computing results, and determine data link parameters of the transmission path segment based on the computing results;

[0021] The confidence of the transmission path segment is obtained based on the data link parameter and the confidence weight.

[0022] In one embodiment, the step of performing edge computing based on the evaluation information set, transmitting the evaluation information set to an edge computing node, obtaining an edge computing result, and determining the data link parameter of the transmission path segment based on the computing result includes:

[0023] Perform edge computing based on the evaluation information set, transmit the evaluation information set to an edge computing node, and enable the edge computing node to generate a periodic variation curve according to the information type of the evaluation information set;

[0024] Determine the maximum value, the minimum value and the average value of the periodic variation curve according to the periodic variation curve;

[0025] determining a first difference between the maximum value and the average value and a second difference between the minimum value and the average value;

[0026] Obtaining an edge calculation weight according to a ratio of the first difference to the second difference;

[0027] The data link parameters of the transmission path segment are calculated according to the edge calculation weight.

[0028] In one embodiment, the step of obtaining the confidence of the transmission path segment based on the data link parameter and the confidence weight comprises:

[0029] determining data delay, packet loss rate, bandwidth utilization, and security score based on the data link parameters;

[0030] The confidence of the transmission path segment is obtained by performing linear weighting based on the data delay, the packet loss rate, the bandwidth utilization, the security score and the confidence weight.

[0031] In one embodiment, the step of performing edge computing on the plurality of transmission path segments to determine the confidence of the transmission path segments comprises:

[0032] Determining adjacent nodes of each node in a plurality of the transmission path segments;

[0033] generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining virtual nodes on the virtual transmission path;

[0034] Perform edge computing based on the node information of the virtual node to obtain communication delay and forwarding times, and determine the smoothness and link length of the virtual path according to the communication delay and forwarding times;

[0035] A link score is obtained by weighted calculation based on the patency and the link length;

[0036] A confidence level is obtained according to the link score.

[0037] In one embodiment, the step of generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining the virtual nodes on the virtual transmission path includes:

[0038] Determine the topological relationship of the transmission nodes of the current data transmission network, determine the start and end nodes of the transmission path segment, map the start and end nodes to the topological relationship, and generate a local topological relationship, wherein the start and end nodes include a start node and an end node;

[0039] Generate a direction vector according to the starting node and the ending node;

[0040] Taking the starting node as the starting point and the preset extension parameter as the search radius, a search area is generated;

[0041] Determine a candidate virtual node in the search area that is adjacent to the start node and has a direction consistent with the direction vector;

[0042] A virtual transmission path is generated according to the data transmission relationship of the candidate virtual nodes, and the virtual nodes on the virtual transmission path are determined.

[0043] In one embodiment, the step of generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining the virtual nodes on the virtual transmission path further includes:

[0044] Determine the topological relationship of the transmission nodes of the current data transmission network, determine the start and end nodes of the transmission path segment, map the start and end nodes to the topological relationship, and generate a local topological relationship, wherein the start and end nodes include a start node and an end node;

[0045] Determining transmission delay data of the transmission path segment, and generating a transmission delay threshold based on the transmission delay data;

[0046] Generate multiple virtual transmission paths based on the starting node, the terminating node and the local topological relationship, and respectively determine the virtual transmission delay of each of the virtual transmission paths;

[0047] Determine a virtual transmission path corresponding to the virtual transmission delay that is less than the transmission delay threshold as a candidate transmission path;

[0048] Virtual nodes are determined according to the candidate transmission paths respectively.

[0049] In one embodiment, the step of determining a target transmission link according to the confidence level and switching the current transmission path to the target transmission link includes:

[0050] Comparing the confidence level with a confidence threshold to obtain a confidence comparison result;

[0051] When the confidence comparison result is greater than the confidence threshold, a target transmission link is determined according to the confidence comparison result, and the target transmission link is a transmission path corresponding to the maximum confidence.

[0052] In addition, to achieve the above objectives, the present application also proposes a communication enhancement device based on 5G RedCap, and the communication enhancement device based on 5G RedCap includes:

[0053] Data monitoring module, used to monitor real-time data transmission and determine the uplink and downlink volume of data transmission;

[0054] An instruction generation module, used for generating a corresponding unilateral switching instruction when the uplink amount or the downlink amount is greater than a switching threshold;

[0055] A path slicing module, used for the unilateral switching instruction to slice the current data transmission path to obtain multiple transmission path segments;

[0056] A path confidence module, used to perform edge calculation on a plurality of transmission path segments respectively to determine the confidence of the transmission path segments;

[0057] The communication enhancement module is used to determine a target transmission link according to the confidence level and switch a current transmission path to the target transmission link.

[0058] In addition, to achieve the above-mentioned objectives, the present application also proposes a communication enhancement device based on 5G RedCap, wherein the communication enhancement device based on 5G RedCap includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the communication enhancement method based on 5G RedCap as described above.

[0059] In addition, to achieve the above-mentioned purpose, the present invention also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, the steps of the communication enhancement method based on 5GRedCap as described above are implemented.

[0060] In addition, to achieve the above-mentioned objectives, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the communication enhancement method based on 5G RedCap as described above.

[0061] The present application provides a communication enhancement method based on 5G RedCap, which monitors the real-time data transmission to determine the uplink and downlink amounts of the data transmission; when the uplink or downlink amount is greater than the switching threshold, generates a corresponding unilateral switching instruction; slices the current data transmission path based on the unilateral switching instruction to obtain multiple transmission path fragments; performs edge calculations on the multiple transmission path fragments respectively to determine the confidence of the transmission path fragments; determines the target transmission link according to the confidence, and switches the current transmission path to the target transmission link. The present application monitors the uplink and downlink amounts of the data transmission, and can switch the data transmission mode according to the communication volume, which can ensure that the data transmission clock is carried out in a suitable communication mode and on the best communication link, thereby improving the communication quality of the data, solving the technical problem of being unable to flexibly and adaptively switch the communication mode according to the data throughput, resulting in poor communication quality, and improving the communication quality of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0063] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0064] Figure 1 This is a flow chart of Embodiment 1 of the communication enhancement method based on 5G RedCap of this application;

[0065] Figure 2 This is a schematic diagram of data transmission path slicing according to an embodiment of a communication enhancement method based on 5G RedCap of the present application;

[0066] Figure 3 A schematic diagram of adjacent nodes of an embodiment of a communication enhancement method based on 5G RedCap of the present application;

[0067] Figure 4 A schematic diagram of a virtual transmission path of a transmission path segment of an embodiment of a communication enhancement method based on 5G RedCap of the present application;

[0068] Figure 5 This is a schematic diagram of the module structure of a communication enhancement device based on 5G RedCap according to an embodiment of the present application;

[0069] Figure 6 This is a schematic diagram of the device structure of the hardware operating environment involved in the communication enhancement method based on 5G RedCap in the embodiment of the present application.

[0070] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0071] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0072] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0073] The main solution of the embodiment of the present application is: monitoring the real-time data transmission and determining the uplink and downlink amounts of the data transmission;

[0074] When the uplink amount or the downlink amount is greater than a switching threshold, generating a corresponding unilateral switching instruction;

[0075] Slicing the current data transmission path based on the unilateral switching instruction to obtain a plurality of transmission path segments;

[0076] Performing edge computing on each of the plurality of transmission path segments to determine the confidence of the transmission path segments;

[0077] A target transmission link is determined according to the confidence level, and a current transmission path is switched to the target transmission link.

[0078] Currently, when implementing mode switching, mode differentiation and switching are implemented based on the reported user equipment type during the random access process. However, when this method is used and XN interfaces are rarely configured between different manufacturers during mode switching, there is a possibility of switching failure or switching jams.

[0079] The present application provides a solution that can automatically change the communication mode according to the amount of data during data transmission, and adaptively select a suitable communication link for data transmission, thereby improving the quality of data communication.

[0080] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a communication enhancement device based on 5G RedCap, etc., and this embodiment does not specifically limit this. The following takes the communication enhancement device based on 5G RedCap as an example to illustrate this embodiment and the following embodiments.

[0081] The present application embodiment provides a communication enhancement method based on 5G RedCap, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the communication enhancement method based on 5G RedCap of the present application.

[0082] In this embodiment, the communication enhancement method based on 5G RedCap includes steps S10 to S40:

[0083] Step S10, monitoring the real-time data transmission to determine the uplink volume and downlink volume of the data transmission.

[0084] It should be noted that upstream and downstream are used to describe the amount of data transmitted to the Internet or other remote networks during the process of uploading or downloading data in the network. Upstream refers to the amount of data transmitted from the local computer or device to the Internet or other remote networks, that is, the flow of data from "inside" to "outside". Downstream refers to the amount of data transmitted from the Internet or other remote networks to the local computer or device. In short, it is the flow of data from "outside" to "inside".

[0085] It is understandable that a data capture module (Wireshark) is deployed on the network exit of the device to capture all incoming and outgoing data packets. Through the parsing function of Wireshark, the source address and destination address information of each data packet are extracted, and the direction of the data packet is determined based on the source address and destination address information. The parsed data packets are classified into uplink data packets and downlink data packets. And according to the preset recording time, the total amount of uplink or downlink data in a recording cycle can be determined to obtain the uplink and downlink amounts of data transmission.

[0086] Step S20: When the uplink amount or the downlink amount is greater than a switching threshold, a corresponding unilateral switching instruction is generated.

[0087] It should be noted that a unilateral switching instruction refers to a switching instruction used to switch the uplink or downlink communication mode, which can only control one of the uplink or downlink communication links. If you want to switch the uplink and downlink links at the same time, you need to generate two unilateral switching instructions to switch the uplink and downlink respectively.

[0088] It is understandable that the switching threshold corresponds to the maximum tolerable communication volume in the RedCap mode. When the switching threshold is exceeded, there will be certain interference with the communication quality, and data congestion, increased processing delay, data packet loss, etc. may occur.

[0089] In the specific implementation, the switching threshold is limited by the RedCap mode. Due to the data processing capability of the device itself, there is a certain fluctuation in the data. Therefore, the switching threshold can be set as the standard switching threshold. When there is a need for refined processing, the threshold can be calibrated according to the needs of the device itself. This process can be obtained based on the maximum communication volume and communication quality score within the calibration period. This embodiment takes the standard switching threshold as an example to set the switching threshold, where the uplink switching threshold is , the downlink switching threshold is . After capturing the uplink and downside When and uplink switching threshold Compare the downside and the downlink switching threshold is For comparison. > When , an uplink unilateral switching instruction is generated; > When the uplink unilateral switching instruction is generated, the corresponding uplink or downlink is switched according to the uplink unilateral switching instruction or the downlink unilateral switching instruction, and the RedCap mode is changed to the eMBB mode to increase the data throughput.

[0090] Step S30: Slice the current data transmission path based on the unilateral switching instruction to obtain a plurality of transmission path segments.

[0091] It should be noted that the data transmission path refers to the node link obtained in the order in which the data passes through all the nodes during the data transmission process, which is used to represent the data transmission route, and the transmission path fragment is a part of the data transmission path, which can include some or all of the nodes in the data transmission path.

[0092] It can be understood that in the data transmission process, the data sending device sends the data to the middle routing transmission node, and the routing transmission node forwards the data after receiving the data, and forwards it to the next routing transmission node or the data receiving end. The process from sending to receiving the data can be regarded as a complete transmission behavior. Therefore, for example, a routing transmission path includes 5 nodes, namely A, B, C, D, and E, where A is the data sending end, E is the data receiving end, and B, C, and D are respectively routing transmission nodes for receiving and forwarding data. When the data transmission path is A→B→C→D→E, the data transmission path can be sliced ​​into multiple situations, and can be divided from any number of nodes, for example, three transmission path fragments such as A→B, B→C→D, and D→E are obtained.

[0093] In a feasible implementation manner, the step of slicing the current data transmission path based on the unilateral switching instruction to obtain a plurality of transmission path segments includes:

[0094] Extracting node information of the current data transmission path based on the unilateral switching instruction and generating a node chain;

[0095] Parsing the node information to obtain the link status, delay and bandwidth of the node;

[0096] Obtaining a node score according to the link state, the delay, the bandwidth and the scoring weight;

[0097] When the node score is lower than the target node score, the node corresponding to the node score is determined as a slice node;

[0098] The node chain is sliced ​​into a plurality of transmission path segments based on the slice node.

[0099] It should be noted that node information includes the identity information and network information of the routing transmission node or data receiving end, where the network information includes link status, delay, bandwidth, etc. The node score is used to measure the status of the current node. When the node score is higher, it means that the current node has a better overall status and has a higher priority when selecting a link.

[0100] In the specific implementation, when receiving a unilateral switching instruction, the data transmission path of the current link can be determined and the node information of the current transmission path can be obtained. , and combine the node information of the current data transmission link in order to obtain a node chain, which can be expressed as . And analyze the node information to get the link status of the node ,Delay and bandwidth . According to the formula:

[0101]

[0102] in, are the scoring weights, and .

[0103] After obtaining the node score, the node score can be judged. When the node score is lower than the target node score, the node corresponding to the node score is determined as a slice node. Figure 2 , Figure 2 This is a schematic diagram of data transmission path slicing. In the figure, each value represents the score information of the current node, and "×" represents the slice position. The original data transmission path is then sliced ​​into multiple transmission path segments.

[0104] Step S40: performing edge computing on the plurality of transmission path segments respectively to determine the confidence of the transmission path segments.

[0105] It should be noted that confidence is used to describe the security level of a node during information transmission. Confidence depends on information such as data packet loss rate and data delay, and is determined by multiple parameters.

[0106] It is understandable that edge computing is performed on the obtained multiple transmission path segments, and in this process, the adjacent nodes of each node in the transmission path segment can be determined, and the transmission log between the adjacent node and the node in the transmission path segment can be obtained. Figure 3 , Figure 3 is a schematic diagram of adjacent nodes. Figure 3As shown, it is assumed that a node in a transmission path segment establishes data transmission with five adjacent nodes. Then, the confidence can be evaluated based on the transmission logs between the five adjacent nodes and the node to determine the confidence.

[0107] In a feasible implementation manner, the step of performing edge computing on the plurality of transmission path segments to determine the confidence of the transmission path segments includes:

[0108] Detecting multiple transmission path segments respectively, determining node connection relationships of nodes in the transmission path, and determining nodes with data connections as relative edge nodes according to the node connection relationships;

[0109] Analyzing the communication log of the relative edge node, extracting the evaluation information of the relative edge node on each node in the transmission path segment, and aggregating the evaluation information into an evaluation information set;

[0110] Perform edge computing based on the evaluation information set, transmit the evaluation information set to an edge computing node, obtain edge computing results, and determine data link parameters of the transmission path segment based on the computing results;

[0111] The confidence of the transmission path segment is obtained based on the data link parameter and the confidence weight.

[0112] The steps of performing edge computing based on the evaluation information set, transmitting the evaluation information set to an edge computing node, obtaining edge computing results, and determining the data link parameters of the transmission path segment based on the computing results include:

[0113] Perform edge computing based on the evaluation information set, transmit the evaluation information set to an edge computing node, and enable the edge computing node to generate a periodic variation curve according to the information type of the evaluation information set;

[0114] Determine the maximum value, the minimum value and the average value of the periodic variation curve according to the periodic variation curve;

[0115] determining a first difference between the maximum value and the average value and a second difference between the minimum value and the average value;

[0116] Obtaining an edge calculation weight according to a ratio of the first difference to the second difference;

[0117] The data link parameters of the transmission path segment are calculated according to the edge calculation weights.

[0118] In a specific implementation, first, the evaluation information set is transmitted to the edge computing node, so that the edge computing node generates a periodic change curve according to the information type of the evaluation information set, where the period can be the amount of data collected in each data within 1 minute, and the change curve of each type of information is fitted through multiple discrete points, and the maximum value Max, the minimum value Min and the average value Ave in the periodic change curve are determined, and the first difference δ1 between the maximum value and the average value and the second difference δ2 between the minimum value and the average value are determined, and the edge computing weight w is obtained according to the ratio of the first difference to the second difference, w=δ1 / δ2. The data link parameters of the transmission path segment are calculated according to the edge computing weight.

[0119] The step of obtaining the confidence of the transmission path segment based on the data link parameter and the confidence weight comprises:

[0120] determining data delay, packet loss rate, bandwidth utilization, and security score based on the data link parameters;

[0121] The confidence of the transmission path segment is obtained by performing linear weighting based on the data delay, the packet loss rate, the bandwidth utilization, the security score and the confidence weight.

[0122] In a specific implementation, each transmission path segment is detected to obtain the nodes and their connection relationships therein, analyze the connection relationships between the nodes, determine which nodes have data connections, analyze the connection relationships between the nodes, determine which nodes have data connections, and the determination formula is:

[0123]

[0124] in, is the i-th transmission path segment, represents the jth node, For Node The connection relationship between them.

[0125] Therefore, relative to the edge nodes It can be expressed as:

[0126]

[0127] Then read the communication log of the relative edge node, extract the evaluation information of each node in the transmission path segment, read the communication log of the relative edge node, extract the evaluation information of each node in the transmission path segment, read the communication log of the relative edge node, and extract the evaluation information of each node in the transmission path segment. Transmit the evaluation information to the edge node, calculate the evaluation information set on the edge computing node, obtain the data link parameters of each node, and calculate the confidence of each node based on the data link parameters and confidence weight. .

[0128]

[0129] in, is the confidence weight, and Loss is the packet loss rate.

[0130] Transfer Path Fragment Confidence for:

[0131]

[0132] In a feasible implementation manner, the step of performing edge computing on the plurality of transmission path segments to determine the confidence of the transmission path segments includes:

[0133] Determining adjacent nodes of each node in a plurality of the transmission path segments;

[0134] generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining virtual nodes on the virtual transmission path;

[0135] Perform edge computing based on the node information of the virtual node to obtain communication delay and forwarding times, and determine the smoothness and link length of the virtual path according to the communication delay and forwarding times;

[0136] A link score is obtained by weighted calculation based on the patency and the link length;

[0137] A confidence level is obtained according to the link score.

[0138] The step of generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining the virtual nodes on the virtual transmission path comprises:

[0139] Determine the topological relationship of the transmission nodes of the current data transmission network, determine the start and end nodes of the transmission path segment, map the start and end nodes to the topological relationship, and generate a local topological relationship, wherein the start and end nodes include a start node and an end node;

[0140] Generate a direction vector according to the starting node and the ending node;

[0141] Taking the starting node as the starting point and the preset extension parameter as the search radius, a search area is generated;

[0142] Determine a candidate virtual node in the search area that is adjacent to the start node and has a direction consistent with the direction vector;

[0143] A virtual transmission path is generated according to the data transmission relationship of the candidate virtual nodes, and the virtual nodes on the virtual transmission path are determined.

[0144] In the specific implementation, for each node in the transmission path segment, its adjacent nodes are determined. An adjacent node refers to a node that is directly connected to the current node. A virtual transmission path is generated based on the starting and ending points of the transmission path segment and its adjacent nodes. The virtual transmission path is a hypothetical transmission path, and its nodes are real. Edge calculation is performed on the node information of the virtual node to determine the communication delay and forwarding times in the virtual path. Since the nodes are real, the communication delay and forwarding times can be based on the selected node information. Figure 4 , Figure 4 The figure is a schematic diagram of a virtual transmission path of a transmission path segment. The dotted part is the virtual transmission path, and “×” is the slicing point. Therefore, the corresponding communication delay and forwarding times can be calculated according to the formed virtual transmission node. The virtual transmission path is weighted according to the communication delay and forwarding times to obtain the link score, and the confidence is determined according to the link score.

[0145] When determining the virtual nodes in the virtual transmission path, the topological relationship of the network transmission nodes can be mapped according to the start and end nodes in the transmission path segment, and the local topological relationship can be locked with the positions of the start and end nodes, which include the start node and the end node. A direction vector is generated with the start node and the end node, the start node is determined as the starting point, and the candidate node list is determined as the search radius with the preset extension parameter, and the direction vector is determined between each node and the start node, and the nodes with the same direction are determined as virtual nodes, and a search area is generated. The candidate virtual nodes adjacent to the start node in the search area and whose directions are consistent with the direction vector are generated according to the data transmission relationship of the candidate virtual nodes, and the virtual nodes on the virtual transmission path are determined.

[0146] Alternatively, transmission delay data of the transmission path segment is determined, a transmission delay threshold is generated based on the transmission delay data, multiple virtual transmission paths are generated based on the starting node, the ending node and the local topological relationship, and the virtual transmission delay of each of the virtual transmission paths is determined respectively, and the virtual transmission path corresponding to the virtual transmission delay less than the transmission delay threshold is determined as a candidate transmission path, and virtual nodes are determined respectively according to the candidate transmission paths.

[0147] Step S50: determine a target transmission link according to the confidence level, and switch the current transmission path to the target transmission link.

[0148] It should be noted that the target transmission link refers to the data transmission link after switching, which has a higher data throughput and performs data transmission based on eMBB, and can realize data transmission that requires high bandwidth and high transmission rate, such as high-definition video.

[0149] It is understandable that when determining the target transmission link, the selection can be made according to the confidence, so the confidence can be compared with the confidence threshold to obtain the confidence comparison result. When the confidence comparison result is greater than the confidence threshold, the virtual transmission link corresponding to the confidence comparison result is the candidate target transmission link, and the confidences in the candidate target links are arranged in order of size, and the virtual transmission link corresponding to the maximum confidence is determined as the target transmission link, while the other virtual transmission links are used as priority replacement links in order of size, and when an abnormality occurs in the target transmission link, it can be switched to the priority virtual transmission link in time.

[0150] This embodiment provides a communication enhancement method based on 5G RedCap, which monitors the real-time data transmission to determine the uplink and downlink amounts of data transmission; when the uplink or downlink amount is greater than the switching threshold, generates a corresponding unilateral switching instruction; slices the current data transmission path based on the unilateral switching instruction to obtain multiple transmission path fragments; performs edge calculations on the multiple transmission path fragments respectively to determine the confidence of the transmission path fragments; determines the target transmission link according to the confidence, and switches the current transmission path to the target transmission link. This application monitors the uplink and downlink amounts of data transmission, and can switch the data transmission mode according to the communication volume, which can ensure that the data transmission clock is carried out in a suitable communication mode and on the best communication link, thereby improving the communication quality of the data, solving the technical problem of being unable to flexibly and adaptively switch the communication mode according to the data throughput, resulting in poor communication quality, and improving the communication quality of data transmission.

[0151] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the communication enhancement method based on 5G RedCap of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0152] This application also provides a communication enhancement device based on 5G RedCap, please refer to Figure 5 , the communication enhancement devices based on 5G RedCap include:

[0153] A data monitoring module 10 is used to monitor real-time data transmission and determine the uplink and downlink amounts of data transmission;

[0154] An instruction generation module 20, configured to generate a corresponding unilateral switching instruction when the uplink amount or the downlink amount is greater than a switching threshold;

[0155] A path slicing module 30, used for the unilateral switching instruction to slice the current data transmission path to obtain a plurality of transmission path segments;

[0156] A path confidence module 40, configured to perform edge calculations on the plurality of transmission path segments respectively to determine the confidence of the transmission path segments;

[0157] The communication enhancement module 50 is used to determine a target transmission link according to the confidence level and switch the current transmission path to the target transmission link.

[0158] In a feasible implementation manner, the path slicing module 30 is further used to extract node information of the current data transmission path based on the unilateral switching instruction and generate a node chain;

[0159] Parsing the node information to obtain the link status, delay and bandwidth of the node;

[0160] Obtaining a node score according to the link state, the delay, the bandwidth and the scoring weight;

[0161] When the node score is lower than the target node score, the node corresponding to the node score is determined as a slice node;

[0162] The node chain is sliced ​​into a plurality of transmission path segments based on the slice node.

[0163] In a feasible implementation manner, the path confidence module 40 is further used to detect multiple transmission path segments respectively, determine the node connection relationship of the nodes in the transmission path, and determine the node with data connection as the relative edge node according to the node connection relationship;

[0164] Analyzing the communication log of the relative edge node, extracting the evaluation information of the relative edge node on each node in the transmission path segment, and aggregating the evaluation information into an evaluation information set;

[0165] Perform edge computing based on the evaluation information set, transmit the evaluation information set to an edge computing node, obtain edge computing results, and determine data link parameters of the transmission path segment based on the computing results;

[0166] The confidence of the transmission path segment is obtained based on the data link parameter and the confidence weight.

[0167] In a feasible implementation manner, the path confidence module 40 is further used to determine data delay, packet loss rate, bandwidth utilization and security score according to the data link parameters;

[0168] The confidence of the transmission path segment is obtained by performing linear weighting based on the data delay, the packet loss rate, the bandwidth utilization, the security score and the confidence weight.

[0169] In a feasible implementation manner, the path confidence module 40 is further used to determine adjacent nodes of each node in the plurality of transmission path segments;

[0170] generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining virtual nodes on the virtual transmission path;

[0171] Perform edge computing based on the node information of the virtual node to obtain communication delay and forwarding times, and determine the smoothness and link length of the virtual path according to the communication delay and forwarding times;

[0172] A link score is obtained by weighted calculation based on the patency and the link length;

[0173] A confidence level is obtained according to the link score.

[0174] In a feasible implementation manner, the path confidence module 40 is further used to determine the topological relationship of the transmission nodes of the current data transmission network, determine the start and end nodes of the transmission path segment, map the start and end nodes to the topological relationship, and generate a local topological relationship, wherein the start and end nodes include a start node and an end node;

[0175] Generate a direction vector according to the starting node and the ending node;

[0176] Taking the starting node as the starting point and the preset extension parameter as the search radius, a search area is generated;

[0177] Determine a candidate virtual node in the search area that is adjacent to the start node and has a direction consistent with the direction vector;

[0178] A virtual transmission path is generated according to the data transmission relationship of the candidate virtual nodes, and the virtual nodes on the virtual transmission path are determined.

[0179] In a feasible implementation manner, the communication enhancement module 50 is further used to compare the confidence level with a confidence threshold to obtain a confidence comparison result;

[0180] When the confidence comparison result is greater than the confidence threshold, a target transmission link is determined according to the confidence comparison result, and the target transmission link is a transmission path corresponding to the maximum confidence.

[0181] The communication enhancement device based on 5G RedCap provided by the present application adopts the communication enhancement method based on 5GRedCap in the above-mentioned embodiment, which can solve the technical problem of poor communication quality caused by the inability to flexibly and adaptively switch the communication mode according to the data communication volume. Compared with the prior art, the beneficial effects of the communication enhancement device based on 5G RedCap provided by the present application are the same as the beneficial effects of the communication enhancement method based on 5G RedCap provided by the above-mentioned embodiment, and the other technical features in the communication enhancement device based on 5GRedCap are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0182] The present application provides a communication enhancement device based on 5G RedCap, and the communication enhancement device based on 5G RedCap includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the communication enhancement method based on 5G RedCap in the above-mentioned embodiment one.

[0183] Reference below Figure 6 , which shows a schematic diagram of the structure of a communication enhancement device based on 5G RedCap suitable for implementing the embodiment of the present application. The communication enhancement device based on 5G RedCap in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 6The communication enhancement device based on 5G RedCap shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0184] like Figure 6 As shown, the communication enhancement device based on 5G RedCap may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. Various programs and data required for the operation of the communication enhancement device based on 5G RedCap are also stored in RAM1004. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the communication enhancement device based on 5G RedCap to communicate with other devices wirelessly or wired to exchange data. Although the figure shows a communication enhancement device based on 5G RedCap with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.

[0185] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0186] The communication enhancement device based on 5G RedCap provided by the present application adopts the communication enhancement method based on 5GRedCap in the above-mentioned embodiment, which can solve the technical problems of communication enhancement based on 5G RedCap. Compared with the prior art, the beneficial effects of the communication enhancement device based on 5G RedCap provided by the present application are the same as the beneficial effects of the communication enhancement method based on 5GRedCap provided by the above-mentioned embodiment, and the other technical features in the communication enhancement device based on 5G RedCap are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0187] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0188] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0189] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the communication enhancement method based on 5G RedCap in the above-mentioned embodiment.

[0190] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0191] The above-mentioned computer-readable storage medium may be included in the communication enhancement device based on 5G RedCap; or it may exist independently without being assembled into the communication enhancement device based on 5G RedCap.

[0192] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the communication enhancement device based on 5G RedCap, the communication enhancement device based on 5G RedCap: monitors real-time data transmission to determine the uplink and downlink amounts of data transmission; generates a corresponding unilateral switching instruction when the uplink amount or the downlink amount is greater than the switching threshold; slices the current data transmission path based on the unilateral switching instruction to obtain multiple transmission path fragments; performs edge computing on the multiple transmission path fragments respectively to determine the confidence of the transmission path fragments; determines the target transmission link according to the confidence, and switches the current transmission path to the target transmission link.

[0193] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0194] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0195] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0196] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned communication enhancement method based on 5G RedCap, and can solve the technical problems of communication enhancement based on 5G RedCap. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the communication enhancement method based on 5G RedCap provided in the above-mentioned embodiment, and will not be repeated here.

[0197] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the communication enhancement method based on 5G RedCap as described above.

[0198] The computer program product provided in this application can solve the technical problem of communication enhancement based on 5G RedCap. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as the beneficial effects of the communication enhancement method based on 5G RedCap provided in the above embodiment, which will not be repeated here.

[0199] The above are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A communication enhancement method based on 5G RedCap, characterized in that: The communication enhancement method based on 5G RedCap includes: Monitor real-time data transmission and determine the uplink and downlink data transmission volume; When the uplink amount or the downlink amount is greater than a switching threshold, generating a corresponding unilateral switching instruction; Slicing the current data transmission path based on the unilateral switching instruction to obtain a plurality of transmission path segments; Detecting multiple transmission path segments respectively, determining the node connection relationship of the nodes in the transmission path, and determining the nodes with data connection as relative edge nodes according to the node connection relationship; analyzing the communication logs of the relative edge nodes, extracting the evaluation information of the relative edge nodes on each node in the transmission path segment, and aggregating the evaluation information into an evaluation information set; performing edge computing based on the evaluation information set, transmitting the evaluation information set to the edge computing node, obtaining edge computing results, and determining the data link parameters of the transmission path segment based on the computing results; obtaining the confidence of the transmission path segment based on the data link parameters and the confidence weight; Or, determine the adjacent nodes of each node in the plurality of transmission path segments; generate a virtual transmission path based on the start and end nodes of the transmission path segments and the adjacent nodes, and determine the virtual nodes on the virtual transmission path; perform edge calculation based on the node information of the virtual nodes to obtain communication delay and forwarding times, and determine the smoothness and link length of the virtual path according to the communication delay and forwarding times; obtain a link score according to a weighted calculation of the smoothness and the link length; and obtain a confidence level according to the link score; Comparing the confidence level with a confidence threshold to obtain a confidence comparison result; When the confidence comparison result is greater than the confidence threshold, a target transmission link is determined according to the confidence comparison result, and the target transmission link is a transmission path corresponding to the maximum confidence.

2. The method according to claim 1, characterized in that The step of slicing the current data transmission path based on the unilateral switching instruction to obtain a plurality of transmission path segments comprises: Extracting node information of the current data transmission path based on the unilateral switching instruction and generating a node chain; Parsing the node information to obtain the link status, delay and bandwidth of the node; Obtaining a node score according to the link state, the delay, the bandwidth and the scoring weight; When the node score is lower than the target node score, the node corresponding to the node score is determined as a slice node; The node chain is sliced ​​into a plurality of transmission path segments based on the slice node.

3. The method according to claim 1, characterized in that The steps of performing edge computing based on the evaluation information set, transmitting the evaluation information set to an edge computing node, obtaining edge computing results, and determining the data link parameters of the transmission path segment based on the computing results include: Perform edge computing based on the evaluation information set, transmit the evaluation information set to an edge computing node, and enable the edge computing node to generate a periodic variation curve according to the information type of the evaluation information set; Determine the maximum value, the minimum value and the average value of the periodic variation curve according to the periodic variation curve; determining a first difference between the maximum value and the average value and a second difference between the minimum value and the average value; Obtaining an edge calculation weight according to a ratio of the first difference to the second difference; The data link parameters of the transmission path segment are calculated according to the edge calculation weight.

4. The method according to claim 1, characterized in that The step of obtaining the confidence of the transmission path segment based on the data link parameter and the confidence weight comprises: determining data delay, packet loss rate, bandwidth utilization, and security score based on the data link parameters; The confidence of the transmission path segment is obtained by performing linear weighting based on the data delay, the packet loss rate, the bandwidth utilization, the security score and the confidence weight.

5. The method according to claim 1, characterized in that The step of generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining the virtual nodes on the virtual transmission path comprises: Determine the topological relationship of the transmission nodes of the current data transmission network, determine the start and end nodes of the transmission path segment, map the start and end nodes to the topological relationship, and generate a local topological relationship, wherein the start and end nodes include a start node and an end node; Generate a direction vector according to the starting node and the ending node; Taking the starting node as the starting point and the preset extension parameter as the search radius, a search area is generated; Determine a candidate virtual node in the search area that is adjacent to the start node and has a direction consistent with the direction vector; A virtual transmission path is generated according to the data transmission relationship of the candidate virtual nodes, and the virtual nodes on the virtual transmission path are determined.

6. The method according to claim 1, characterized in that The step of generating a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determining the virtual nodes on the virtual transmission path also includes: Determine the topological relationship of the transmission nodes of the current data transmission network, determine the start and end nodes of the transmission path segment, map the start and end nodes to the topological relationship, and generate a local topological relationship, wherein the start and end nodes include a start node and an end node; Determining transmission delay data of the transmission path segment, and generating a transmission delay threshold based on the transmission delay data; Generate multiple virtual transmission paths based on the starting node, the terminating node and the local topological relationship, and respectively determine the virtual transmission delay of each of the virtual transmission paths; Determine a virtual transmission path corresponding to the virtual transmission delay that is less than the transmission delay threshold as a candidate transmission path; Virtual nodes are determined according to the candidate transmission paths respectively.

7. A communication enhancement device based on 5G RedCap, characterized in that: The communication enhancement device based on 5G RedCap includes: Data monitoring module, used to monitor real-time data transmission and determine the uplink and downlink volume of data transmission; An instruction generation module, used for generating a corresponding unilateral switching instruction when the uplink amount or the downlink amount is greater than a switching threshold; A path slicing module, used for the unilateral switching instruction to slice the current data transmission path to obtain multiple transmission path segments; A path confidence module is used to detect multiple transmission path segments respectively, determine the node connection relationship of the nodes in the transmission path, and determine the node with data connection as a relative edge node according to the node connection relationship; analyze the communication log of the relative edge node, extract the evaluation information of the relative edge node on each node in the transmission path segment, and aggregate the evaluation information into an evaluation information set; perform edge computing based on the evaluation information set, transmit the evaluation information set to the edge computing node, obtain the edge computing result, and determine the data link parameter of the transmission path segment based on the calculation result; obtain the confidence of the transmission path segment based on the data link parameter and the confidence weight; or determine the adjacent nodes of each node in the multiple transmission path segments; generate a virtual transmission path based on the start and end nodes of the transmission path segment and the adjacent nodes, and determine the virtual node on the virtual transmission path; perform edge computing based on the node information of the virtual node to obtain the communication delay and forwarding times, and determine the smoothness and link length of the virtual path according to the communication delay and forwarding times; obtain the link score by weighted calculation based on the smoothness and the link length; obtain the confidence according to the link score; The communication enhancement module is used to compare the confidence level with a confidence threshold to obtain a confidence comparison result; when the confidence comparison result is greater than the confidence threshold, determine a target transmission link according to the confidence comparison result, and the target transmission link is a transmission path corresponding to the maximum confidence level.

8. A communication enhancement device based on 5G RedCap, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the communication enhancement method based on 5G RedCap as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the communication enhancement method based on 5G RedCap as described in any one of claims 1 to 6 are implemented.

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