5G-based self-organizing network system routing selection method and readable storage medium

Abstract

The present invention relates to the field of mobile communications technology, and in particular to a 5G-based ad hoc network system routing selection method and readable storage medium. The method comprises the following steps: S100, obtaining the path delay and performance parameters of intermediate nodes for each path between a first node and a second node; S200, calculating characteristic values ​​of each path based on the path delay and performance parameters; and S300, selecting a path as the routing path between the first node and the second node based on the characteristic values ​​of each path. This solution can intelligently select a more suitable route for users in different application environments, enabling 5G networks and ad hoc networks to fully leverage their respective advantages and improve network transmission efficiency.

Description

Technical Field

[0001] The present invention relates to the field of mobile communication technologies, and in particular to a 5G-based self-organizing network system routing selection method and a readable storage medium. Background Art

[0002] D2D technology (Device to Device, a method of direct communication between two peer user nodes), as an important component of 5G core technology, can increase the data rate of 5G systems, reduce transmission latency, and extend network coverage. Self-organizing networks (ANNs) are a combination of mobile communications and computer networks. They are characterized by rapid deployment, ease of installation, and flexible structure. They are widely used in specialized fields such as police, firefighting, electricity, and maritime rescue, and are an important supplement to mobile communication networks. Currently, the two networks are typically used separately. When using the network, users need to select their own routes. However, users have no way of knowing whether the selected route is applicable in the current environment or whether it has high network transmission efficiency. This results in poor transmission efficiency and application flexibility.

[0003] 5G networks have the advantages of higher speed, lower latency and larger capacity. However, due to the higher frequency used in 5G, it has the disadvantages of smaller coverage, low anti-interference and penetration ability. Ad hoc networks have the advantages of node interconnection, self-configuration, self-healing, strong resistance to damage and disasters, long transmission distance and low installation cost. However, due to the multi-node transmission method used in ad hoc networks, there are disadvantages such as high latency and low network capacity. Therefore, 5G networks and ad hoc networks have the characteristics of mutual compatibility and complementarity of advantages and disadvantages. If the two are integrated, more suitable routes can be intelligently selected for users in different application environments, so that 5G networks and ad hoc networks can give full play to their own advantages and improve network transmission efficiency. Summary of the Invention

[0004] The present invention provides a 5G-based self-organizing network system routing selection method and a readable storage medium, which can intelligently select a more suitable route for users in different application environments, so that the 5G network and the self-organizing network can give full play to their own advantages and improve network transmission efficiency.

[0005] The present invention provides a basic solution 1:

[0006] A 5G-based self-organizing network system routing selection method includes the following steps:

[0007] S100, obtaining path delays of each path between a first node and a second node and performance parameters of intermediate nodes;

[0008] S200, calculating characteristic values ​​of each path based on path delay and performance parameters;

[0009] S300 : Select a path as a routing path between a first node and a second node according to characteristic values ​​of each path.

[0010] Furthermore, the performance parameters include service rate and signal-to-noise ratio.

[0011] Furthermore, the calculation formula of the eigenvalue is as follows:

[0012]

[0013] Where P is the characteristic value of the path, Ra x is the service rate weighting coefficient of the intermediate node x, Thh x is the service rate of the intermediate node x, Rb x is the signal-to-noise ratio weighting coefficient of the intermediate node x, Sinr x is the signal-to-noise ratio of the intermediate node x, x is the number of intermediate nodes in the path, Rc is the path delay weighting coefficient, and Delay is the path delay.

[0014] Furthermore, the signal-to-noise ratio weighting coefficient is smaller than the service rate weighting coefficient.

[0015] Furthermore, in S300 , the path with the largest characteristic value is selected as the routing path between the first node and the second node.

[0016] Furthermore, it also includes S400, updating the path delay of each path between the first node and the second node and the performance parameters of the intermediate nodes, and recalculating the characteristic value of each path based on the updated path delay and performance parameters; and selecting a path as the routing path between the first node and the second node based on the recalculated characteristic value.

[0017] Furthermore, S400 includes:

[0018] S401, acquiring position change data of a first node and a second node;

[0019] S402, generating a time interval T according to position change data of the first node and the second node;

[0020] S403: After a time interval T, update the path delay of each path between the first node and the second node and the performance parameters of the intermediate nodes, and recalculate the characteristic value of each path based on the updated path delay and performance parameters; select a path as the routing path between the first node and the second node based on the recalculated characteristic value.

[0021] The present invention provides a second basic solution:

[0022] A readable storage medium for 5G-based self-organizing network system routing selection is used to store computer-executable instructions, which implement the above-mentioned 5G-based self-organizing network system routing selection method when executed.

[0023] The principles and advantages of the present invention are:

[0024] 1. When data transmission between nodes is required, the eigenvalues ​​of each path between the two nodes are first analyzed. Specifically, the eigenvalues ​​of each path are calculated based on the path delay and the performance parameters of the intermediate nodes within each path. Thus, the data transmission efficiency of the path can be evaluated based on the path delay and performance parameters. The path with the largest eigenvalue is selected as the routing path between the first node and the second node. Compared with randomly selecting a routing path, this method can intelligently select a more suitable and efficient route for users in different application environments, allowing 5G networks and ad hoc networks to fully leverage their advantages and improve network transmission efficiency.

[0025] 2. Compared with the method that uses the characteristic value calculation of remaining power and environmental signal-to-noise ratio, the routing selection method provided in this solution is suitable for IoT scenarios that are sensitive to power and have small data volumes. This system is designed based on application scenarios with sufficient power and are sensitive to service rates, low latency, and large bandwidth.

[0026] 3. Based on the position change data of the first and second nodes, a time interval T is generated. After the time interval T, the characteristic values ​​are recalculated and the routing path is selected. The principle is that in a mobile communication network, the location of the terminal and base station may be in real-time change, so the service rate, signal-to-noise ratio, and path delay will also change in real time. Therefore, it is necessary to select an appropriate interval T based on the application scenario to recalculate the path characteristic values ​​and select the optimal route. In this way, the path can be updated and the parameters of each path can be updated, so the routing path can be reselected, which improves the flexibility of routing path selection, ensures that the routing path used by the user is always the optimal path, and improves data transmission efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flowchart of a 5G-based self-organizing network system routing method according to an embodiment of the present invention.

[0028] Figure 2 This is a networking diagram of an actual application scenario in the 5G-based self-organizing network system routing selection method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following is further described in detail through specific implementation methods:

[0030] Example 1:

[0031] Routing selection method for 5G-based ad hoc network system, such as Figure 1 As shown, the following steps are included:

[0032] S100, when data transmission is required, first obtain the first node and the second node that need to perform output transmission, and obtain the path delay of each path between the first node and the second node and the performance parameters of the intermediate nodes in each path. In this embodiment, the performance parameters include service rate and signal-to-noise ratio. Figure 2 The figure shows a networking diagram of an actual application scenario consisting of a CPE terminal, a base station, a core network, and a server. The terminal CPE1 is the first node and the destination server Server1 is the second node. It is assumed that the terminal CPE1 has data to be transmitted to the destination server Server1.

[0033] Terminal cpe1 detects two paths to reach server 1: Path 1: cpe1 traverses wireless base station bs1 and then a wired network to reach server 1; Path 2: cpe1 reaches cpe3 via an ad hoc network, cpe3 then wirelessly connects to base station bs2 and then via a wired network to reach server 1. The system collects the following path delays and performance parameters between intermediate nodes for each path: Path 1: Delay 1 is 20 ms, the service rate Throughput 11 between cpe1 and bs1 is 60 Mbps, and the signal-to-noise ratio (Sinr 11) is 25; Path 2: Delay 2 is 30 ms, the service rate Throughput 21 between cpe1 and cpe3 is 70 Mbps, and the signal-to-noise ratio (Sinr 21) is 20; the service rate Throughput 22 between cpe3 and bs2 is 80 Mbps, and the signal-to-noise ratio (Sinr 22) is 30.

[0034] S200: Calculate the characteristic value of each path based on the path delay and performance parameters. The calculation formula of the characteristic value is as follows:

[0035]

[0036] Where P is the characteristic value of the path, Ra x is the service rate weighting coefficient of the intermediate node x, Thh x is the service rate of the intermediate node x, Rb x is the signal-to-noise ratio weighting coefficient of the intermediate node x, Sinr x is the signal-to-noise ratio of the intermediate node x, x is the number of intermediate nodes in the path, Rc is the path delay weighting coefficient, and Delay is the path delay. The signal-to-noise ratio weighting coefficient is smaller than the service rate weighting coefficient. In this embodiment, Ra x The value of Rb is 0.1,x The value of is 0.05 and the value of Rc is 100.

[0037] In this embodiment, according to the calculation formula of the characteristic value, the characteristic value of path 1 is P1 = 0.1*60 + 0.05*25 + 100*(1 / 20) = 12.25, and the characteristic value of path 2 is P2 = (0.1*70 + 0.05*20 + 0.1*80 + 0.05*30) + 100*(1 / 30) = 12.08.

[0038] S300: Based on the characteristic values ​​of each path, a path is selected as the routing path between the first node and the second node. In this embodiment, the path with the largest characteristic value is selected as the routing path between the first node and the second node. Because the characteristic value P1 of path 1 is greater than the characteristic value P2 of path 2, path 1 is selected as the optimal route for terminal cpe1 to reach destination server server1.

[0039] S400, updating the path delay of each path between the first node and the second node and the performance parameters of the intermediate nodes, and recalculating the characteristic value of each path based on the updated path delay and performance parameters; selecting a path as the routing path between the first node and the second node based on the recalculated characteristic value. S400 includes:

[0040] S401, acquiring position change data of a first node and a second node;

[0041] S402: Generate a time interval T based on the location change data of the first and second nodes. When the location change data of the first or second node is greater than a preset distance, generate a time interval T. The value range of T is 1-5 seconds; otherwise, the value range of T is 5-10 seconds. The specific value is selected based on the actual application scenario. The principle is that the time interval T is set to 5-10 seconds for scenarios where the terminal and base station move relatively little, and to 1-5 seconds for scenarios where the network environment changes significantly and the terminal and base station are moving. This reduces the amount of routing analysis and system power consumption while ensuring the update frequency.

[0042] S403: After a time interval T, the path delays and performance parameters of the intermediate nodes of each path between the first node and the second node are updated. The characteristic values ​​of each path are recalculated based on the updated path delays and performance parameters. Based on the recalculated characteristic values, a path is selected as the routing path between the first node and the second node. This allows the paths to be updated and the parameters of each path to be updated, thereby reselecting the routing path. This improves the flexibility of routing path selection, ensures that the routing path used by the user is always the optimal path, and improves data transmission efficiency.

[0043] A readable storage medium for 5G-based self-organizing network system routing selection is used to store computer-executable instructions, which implement the above-mentioned 5G-based self-organizing network system routing selection method when executed.

[0044] If the above-mentioned 5G-based self-organizing network system routing selection method is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiment when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0045] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme are not described in detail here. Ordinary technicians in the field are aware of all common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the field can improve and implement this scheme in combination with their own abilities under the inspiration given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several variations and improvements can be made, which should also be regarded as the scope of protection of the present invention. These will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A routing selection method for a 5G-based ad hoc network system, characterized by: The following steps are involved: S100, obtaining path delays of each path between a first node and a second node and performance parameters of intermediate nodes; S200, calculating characteristic values ​​of each path based on path delay and performance parameters; The calculation formula of the eigenvalue is as follows: Where, is the characteristic value of the path, is the service rate weighting coefficient of the intermediate node x, is the service rate of the intermediate node x, is the signal-to-noise ratio weighting coefficient of the intermediate node x, is the signal-to-noise ratio of the intermediate node x, is the number of intermediate nodes in the path, is the path delay weighting coefficient, is the path delay; S300, selecting a path as a routing path between a first node and a second node according to characteristic values ​​of each path; The method further includes S400, updating the path delay of each path between the first node and the second node and the performance parameters of the intermediate nodes, and recalculating the characteristic value of each path based on the updated path delay and performance parameters; Selecting a path as a routing path between the first node and the second node according to the recalculated characteristic value; S400 includes: S401, acquiring position change data of a first node and a second node; S402, generating a time interval T according to position change data of the first node and the second node; S403: After a time interval T, update the path delay of each path between the first node and the second node and the performance parameters of the intermediate nodes, and recalculate the characteristic value of each path based on the updated path delay and performance parameters; select a path as the routing path between the first node and the second node based on the recalculated characteristic value.

2. The 5G-based ad hoc network system routing selection method according to claim 1, characterized in that: The performance parameters include service rate and signal-to-noise ratio.

3. The 5G-based ad hoc network system routing selection method according to claim 2, characterized in that: The signal-to-noise ratio weighting coefficient is smaller than the service rate weighting coefficient.

4. The 5G-based ad hoc network system routing selection method according to claim 1, characterized in that: In S300 , a path with the largest characteristic value is selected as a routing path between the first node and the second node.

5. A readable storage medium for routing selection in a 5G-based ad hoc network system, used to store computer-executable instructions, characterized in that: When executed, the computer executable instructions implement the 5G-based self-organizing network system routing selection method described in any one of claims 1 to 4.

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