A wireless access network switching method based on terminal location prediction in a 5G private network environment

Abstract

The present invention belongs to the field of wireless communications, and specifically relates to a wireless access network switching method based on terminal location prediction in a 5G private network environment; the method comprises: constructing a 5G private network; establishing a location coordinate system and dividing a plurality of regions within the location coordinate system; each 5G CPE collects IP information and location information of an access mobile terminal device and sends status information to a 5G edge gateway; calculating the regional location probability that the mobile terminal and the 5G CPE belong to the same region; setting the regional location probability as a location attribute weight and setting other plurality of attribute weights, and constructing a comprehensive satisfaction evaluation function according to the attribute weights and status information; solving the comprehensive satisfaction evaluation function to obtain the optimal access 5G CPE; the 5G edge gateway manages the mobile terminal device to quickly switch to the optimal access 5G CPE; the present invention can realize network seamless switching of multiple mobile terminals in a 5G private network environment, and greatly reduce network switching delay.

Description

Technical Field

[0001] The present invention belongs to the field of wireless communications, and specifically relates to a wireless access network switching method based on terminal location prediction in a 5G private network environment. Background Art

[0002] A 5G private network is a private network created using 5G technology that features unified connectivity, optimized services, and secure communications within a specific range. It can achieve special requirements that the public network cannot fully meet, such as low latency, multiple access methods, security, privacy, and reliability.

[0003] Considering the original traditional AC+AP (wireless access controller + wireless access point), the control end is connected by wire. Now based on mobile 5G, the AC is deployed on the back side of the base station to manage the AP and realize the function of seamless roaming. In addition, traditional networks are interconnected through node WiFi, with the same frequency band. Once there are more nodes, co-frequency interference will occur. Although the existing ordinary 5GCPE solution solves the problems existing in the original wired connection, it still causes packet loss when switching access networks during network access, affecting low-latency services. If the traditional AC+AP function can be realized through mobile 5G, on the one hand, it can improve the convenience of network deployment, and on the other hand, the channel staggering between APs and the separation of fronthaul and backhaul can greatly improve the service bandwidth utilization of APs. Therefore, in order to achieve seamless switching, a wireless access network switching method based on terminal location prediction in a 5G private network environment is urgently needed, which can realize the network seamless switching of multiple mobile terminals in a 5G private network environment, greatly reduce the network switching delay, and provide high-quality network services for low-latency business applications. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention proposes a wireless access network switching method based on terminal location prediction in a 5G private network environment, the method comprising:

[0005] S1: Build a 5G private network, which includes a 5G edge gateway, multiple 5G CPEs, and multiple mobile terminal devices;

[0006] S2: Establish a location coordinate system and divide multiple areas in the location coordinate system according to the location of the 5G CPE and the activity range of the mobile terminal device;

[0007] S3: Each 5G CPE collects IP information and location information of the connected mobile terminal device; generates status information based on the IP information and location information and sends the status information to the 5G edge gateway;

[0008] S4: The 5G edge gateway calculates the regional location probability that the mobile terminal and the 5G CPE belong to the same area based on the status information;

[0009] S5: Set the regional location probability as the location attribute weight and set multiple other attribute weights, and construct a comprehensive satisfaction evaluation function based on the attribute weights and state information;

[0010] S6: Use the AOS algorithm to solve the comprehensive satisfaction evaluation function and obtain the optimal access 5G CPE;

[0011] S7: The 5G edge gateway manages mobile terminal devices to quickly switch to the optimal access 5G CPE.

[0012] Preferably, building a 5G private network in step S1 includes: establishing a GRE tunnel between the 5G CPE and the 5G edge gateway, and transmitting user service data from the 5G CPE through the GRE tunnel; the 5G edge gateway deploys a DHCP sever, and the mobile terminal device obtains an IP address and a gateway from the DHCP server; the 5G edge gateway allocates a virtual gateway to each 5G CPE; the mobile terminal connects to the associated 5G CPE and forwards the request of the mobile edge device to the 5G edge gateway through the associated 5G CPE; the 5G edge gateway sends the data packet to the local network and the core network respectively according to the IP address of the received data packet.

[0013] Preferably, the process of calculating the regional location probability includes:

[0014] S41: Calculating the location transfer probability of the mobile terminal according to the state information;

[0015] S42: Calculate the regional location probability of the mobile terminal according to the location transfer probability.

[0016] Furthermore, the formula for calculating the regional location probability is:

[0017]

[0018] Among them, S j (k) indicates that the mobile terminal is located in area A at time k j The probability of S i (k-1) indicates that the mobile terminal is located in area A at time k-1 i The probability, P ij Indicates that the mobile terminal is from area location A i Transfer to regional location A j The position transition probability of , N represents the number of regions.

[0019] Preferably, the attributes include bandwidth, delay, jitter, received signal strength, location, and co-channel interference.

[0020] Preferably, the process of constructing a comprehensive satisfaction evaluation function includes:

[0021] S51: construct a user satisfaction evaluation function based on attribute weights and state information;

[0022] S52: constructing a network satisfaction evaluation function according to the state information;

[0023] S53: Construct a comprehensive satisfaction evaluation function according to the user satisfaction evaluation function and the network satisfaction evaluation function.

[0024] Furthermore, the user satisfaction evaluation function is:

[0025]

[0026] Among them, S user represents user satisfaction, η represents the correction parameter, and p i represents the attribute weight of the i-th attribute, a i represents the value of the i-th attribute, and n represents the number of attributes.

[0027] Furthermore, the network satisfaction evaluation function is:

[0028]

[0029] Among them, S net represents network satisfaction, η represents the correction parameter, α represents the first coefficient, β represents the second coefficient, and W represents the bandwidth of the mobile terminal device accessing the network.

[0030] Furthermore, the comprehensive satisfaction evaluation function is:

[0031] S=λS net +(1-λ)S user

[0032] Among them, S represents comprehensive satisfaction, λ represents weight coefficient, S net Indicates network satisfaction, S user Indicates user satisfaction.

[0033] Preferably, the process of the 5G edge gateway managing the mobile terminal device to quickly switch to the optimal access 5G CPE includes: the 5G edge gateway takes the optimal access 5G CPE as the switching target, forwards the service data packet sent by the current mobile terminal to the source 5G CPE to the target 5G CPE according to the switching list, and updates the switching list information of the 5G edge gateway, so as to realize seamless switching of the mobile terminal access network.

[0034] The beneficial effects of the present invention are as follows: the wireless access network switching method based on terminal position prediction in a 5G private network environment proposed in the present invention constructs a 5G private network in which data does not appear, and adopts a Markov model in the 5G private network to use an RSSI-based position prediction method to predict the position of the access mobile terminal, and uses an AOS algorithm to perform global optimization to obtain the optimal access CPE, and the mobile terminal switches according to the optimal access CPE; the present invention predicts the terminal position and comprehensively evaluates multiple objectives on the network side and the user side, thereby achieving seamless network switching of multiple mobile terminals in a 5G private network environment, greatly reducing network switching delay, providing high-quality network services for low-latency business applications, and further improving network resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 This is a flow chart of a wireless access network switching method based on terminal location prediction in a 5G private network environment of the present invention;

[0036] Figure 2 This is a schematic diagram of the 5G private network system structure in the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] The present invention proposes a wireless access network switching method based on terminal location prediction in a 5G private network environment. Figure 1 As shown, the method includes the following contents:

[0039] S1: Build a 5G private network, which includes a 5G edge gateway, multiple 5G CPEs, and multiple mobile terminal devices.

[0040] Build a 5G private network, such as Figure 2 As shown in the figure, the 5G private network includes a 5G edge gateway with a DHCP server deployed, multiple 5G CPEs, and multiple mobile terminal devices; the 5G edge gateway and the 5G CPE communicate through the MQTT protocol, and specifically, a control channel is established between the 5G edge gateway and the 5G CPE through the MQTT protocol. Each mobile terminal accesses the 5G CPE and transmits data through the 5G edge gateway. Specifically, a GRE tunnel is established between the 5G CPE and the 5G edge gateway, and user service data from the 5G CPE is transmitted through the GRE tunnel.

[0041] CPE integrates DHCP RELAY relay function, and mobile terminal devices obtain IP addresses and gateways from the DHCP server of the 5G edge gateway; the 5G edge gateway assigns a virtual gateway to each CPE; when the mobile terminal sets up access to the network, it sends an ARP request to the associated 5G CPE (target CPE), and the proxy MAC address of the ARP request of the access mobile terminal is the CPE itself; the mobile terminal connects to the associated 5G CPE and forwards the request to the 5G edge gateway through the associated 5G CPE; after successful access, the 5G edge gateway sends the data packet to the local network and the core network respectively according to the IP address of the received data packet.

[0042] S2: Establish a location coordinate system and divide multiple areas within the location coordinate system according to the location of the 5G CPE and the activity range of the mobile terminal device.

[0043] In industrial scenarios, a location coordinate system is established based on the regional scope of the 5G private network, and multiple areas are divided within the coordinate system based on the location of the 5G CPE and the activity range of mobile terminal devices.

[0044] S3: Each 5G CPE collects the IP information and location information of the connected mobile terminal device; generates status information based on the IP information and location information and sends the status information to the 5G edge gateway.

[0045] An agent (intelligent entity, i.e., software or hardware entity that can act autonomously) is deployed on each 5G CPE to collect the IP information and location information of the access terminal device, and generate status information based on the IP information and location information. The status information includes: RSSI, bandwidth, usage cost, delay, jitter, packet loss rate, throughput of the wireless signal emitted by the CPE, as well as the IP information and location trajectory information of the mobile terminal device.

[0046] The 5G CPE sends status information to the 5G edge gateway. The 5G edge gateway receives and stores data packets from the 5G CPE and maintains a switching list based on the data source information. The switching list stores all available 5G CPE sets when the mobile terminal device needs to access the network.

[0047] S4: The 5G edge gateway calculates the regional location probability that the mobile terminal and the 5G CPE belong to the same area based on the status information.

[0048] According to the status information, the 5G edge gateway uses the Markov model to use the RSSI (received signal strength) based location prediction method to predict the location of the access terminal, and obtains the regional location probability that the mobile terminal and the 5G CPE belong to the same area; the specific process is as follows:

[0049] S41: Calculate the location transfer probability of the mobile terminal according to the state information.

[0050] IP information is used to identify a specific mobile terminal device. The status information contains the location trajectory information of the mobile terminal. The location transfer probability of the mobile terminal is calculated, that is, the probability of the terminal moving from one area to another, recorded as the probability of moving from area position A to area B. i To area location A j The position transfer probability P ij , the location of the mobile terminal device may be A 1 ,A 2 ,......,A N , N represents the number of regions; the position transfer matrix can be expressed as:

[0051]

[0052] S42: Calculate the regional location probability of the mobile terminal according to the location transfer probability.

[0053] According to the position transfer probability, the regional position probability S can be calculated j (k), the calculation formula is:

[0054]

[0055] Among them, S j (k) indicates that the mobile terminal is located in area A at time k j The probability of S i (k-1) indicates that the mobile terminal is located in area A at time k-1 i The probability, P ij Indicates that the mobile terminal is from area location A i Transfer to regional location A j The position transition probability of , N represents the number of regions.

[0056] S5: Set the regional location probability as the location attribute weight and set multiple other attribute weights, and build a comprehensive satisfaction evaluation function based on the attribute weights and state information.

[0057] A comprehensive satisfaction evaluation function is constructed based on factors such as network performance, different types of task preferences, and co-channel interference between different 5G CPEs. The status information reflects factors such as network performance, different types of task preferences, and co-channel interference between different 5G CPEs. The process of constructing a comprehensive satisfaction evaluation function based on attribute weights and status information includes:

[0058] S51: Construct a user satisfaction evaluation function based on attribute weights and status information.

[0059] Multiple attributes are extracted from the status information, including the bandwidth, delay, jitter, received signal strength, co-channel interference and location of the wireless signal sent by the CPE, and the values ​​of different attributes are obtained. To ensure data consistency, all attributes are normalized to obtain normalized attribute values.

[0060] The regional location probability that the mobile terminal and the 5G CPE belong to the same area is set as the location attribute weight, and other multiple attribute weights are manually set according to the degree of different attributes.

[0061] The user satisfaction evaluation function is:

[0062]

[0063] Among them, S user represents user satisfaction (an indicator that satisfies the network requirements of the terminal as much as possible when the terminal accesses), η represents the correction parameter, and p i represents the attribute weight of the i-th attribute, a i represents the value of the i-th attribute, and n represents the number of attributes.

[0064] S52: Construct a network satisfaction evaluation function according to the status information.

[0065] The bandwidth of the mobile terminal accessing the network is obtained from the status information, and a network satisfaction evaluation function is constructed according to the bandwidth of the mobile terminal accessing the network:

[0066]

[0067] Among them, S net represents network satisfaction, η represents the correction parameter, α represents the first coefficient, β represents the second coefficient, the first coefficient and the second coefficient are manually set, and W represents the bandwidth of the mobile terminal device accessing the network.

[0068] S53: Construct a comprehensive satisfaction evaluation function according to the user satisfaction evaluation function and the network satisfaction evaluation function.

[0069] The comprehensive satisfaction evaluation function is:

[0070] S=λS net +(1-λ)S user

[0071] Where S represents the comprehensive satisfaction; λ represents the weight coefficient, which is determined according to the user's emphasis on the user side and the network side; S net Indicates network satisfaction, S user Indicates user satisfaction.

[0072] S6: Use the AOS algorithm to solve the comprehensive satisfaction evaluation function and obtain the optimal access 5G CPE.

[0073] The network parameters of the 5G private network are randomly initialized, and the AOS (atomic orbital search) algorithm is used to solve the comprehensive satisfaction evaluation function. Specifically, the maximum number of iterations is input, and the 5G CPE that can be switched by the mobile device is obtained as a set of candidate solutions according to the switching list. The candidate solution set is input to obtain a candidate solution priority queue, and the candidate solution corresponding to the highest energy value is selected as the optimal access 5G CPE.

[0074] S7: The 5G edge gateway manages mobile terminal devices to quickly switch to the optimal access 5G CPE.

[0075] The 5G edge gateway takes the optimal access 5G CPE as the switching target, forwards the service data packets sent by the current mobile terminal to the source 5G CPE to the target 5G CPE according to the switching list, and updates the switching list information of the 5G edge gateway to achieve seamless switching of mobile terminal access to the network.

[0076] The above embodiments further illustrate the purpose, technical solutions and advantages of the present invention in detail. It should be understood that the above embodiments are only preferred implementation modes of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made to the present invention within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A wireless access network switching method based on terminal location prediction in a 5G private network environment, characterized in that: include: S1: Build a 5G private network, which includes a 5G edge gateway, multiple 5G CPEs, and multiple mobile terminal devices; Building a 5G private network in step S1 includes: establishing a GRE tunnel between the 5G CPE and the 5G edge gateway, and transmitting user service data from the 5G CPE through the GRE tunnel; the 5G edge gateway deploys a DHCP server, and the mobile terminal device obtains an IP address and gateway from the DHCP server; the 5G edge gateway allocates a virtual gateway to each 5G CPE; the mobile terminal connects to the associated 5G CPE and forwards the request of the mobile edge device to the 5G edge gateway through the associated 5G CPE; the 5G edge gateway sends the data packet to the local network and the core network respectively according to the IP address of the received data packet; S2: Establish a location coordinate system and divide multiple areas in the location coordinate system according to the location of the 5G CPE and the activity range of the mobile terminal device; S3: Each 5G CPE collects IP information and location information of the connected mobile terminal device; generates status information based on the IP information and location information and sends the status information to the 5G edge gateway; the process of calculating the regional location probability includes: S41: Calculate the location transfer probability of the mobile terminal according to the state information; the formula for calculating the regional location probability is: Among them, S j (k) indicates that the mobile terminal is located in area A at time k j The probability of S i (k-1) indicates that the mobile terminal is located in area A at time k-1 i The probability, P ij Indicates that the mobile terminal is from area location A i Transfer to regional location A j The position transfer probability, N represents the number of regions; S42: Calculating the regional location probability of the mobile terminal according to the location transfer probability; S4: The 5G edge gateway calculates the regional location probability that the mobile terminal and the 5G CPE belong to the same area based on the status information; S5: Set the regional location probability as the location attribute weight and set multiple other attribute weights, and build a comprehensive satisfaction evaluation function based on the attribute weights and status information; the attributes include bandwidth, delay, jitter, received signal strength, location, and co-channel interference; S6: Use the AOS algorithm to solve the comprehensive satisfaction evaluation function and obtain the optimal access 5G CPE; S7: The 5G edge gateway manages mobile terminal devices to quickly switch to the optimal access 5G CPE.

2. According to claim 1, a wireless access network switching method based on terminal location prediction in a 5G private network environment is characterized in that: The process of constructing a comprehensive satisfaction evaluation function includes: S51: construct a user satisfaction evaluation function based on attribute weights and state information; S52: constructing a network satisfaction evaluation function according to the state information; S53: Construct a comprehensive satisfaction evaluation function according to the user satisfaction evaluation function and the network satisfaction evaluation function.

3. According to claim 2, a wireless access network switching method based on terminal location prediction in a 5G private network environment is characterized in that: The user satisfaction evaluation function is: Among them, S user represents user satisfaction, η represents the correction parameter, and p i represents the attribute weight of the i-th attribute, a i represents the value of the i-th attribute, and n represents the number of attributes.

4. According to claim 2, a wireless access network switching method based on terminal location prediction in a 5G private network environment is characterized in that: The network satisfaction evaluation function is: Among them, S net represents network satisfaction, η represents the correction parameter, α represents the first coefficient, β represents the second coefficient, and W represents the bandwidth of the mobile terminal device accessing the network.

5. According to claim 2, a wireless access network switching method based on terminal location prediction in a 5G private network environment is characterized in that: The comprehensive satisfaction evaluation function is: S=λS net +(1-λ)S user Among them, S represents comprehensive satisfaction, λ represents weight coefficient, S net Indicates network satisfaction, S user Indicates user satisfaction.

6. According to claim 1, a wireless access network switching method based on terminal location prediction in a 5G private network environment is characterized in that: The process of 5G edge gateway managing the rapid switching of mobile terminal devices to the optimal access 5G CPE includes: the 5G edge gateway takes the optimal access 5G CPE as the switching target, forwards the service data packets sent by the current mobile terminal to the source 5G CPE to the target 5G CPE according to the switching list, and updates the switching list information of the 5G edge gateway, so as to realize seamless switching of mobile terminal access network.

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