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CN-122002436-A - Mobile communication terminal network switching method and system

CN122002436ACN 122002436 ACN122002436 ACN 122002436ACN-122002436-A

Abstract

The invention belongs to the technical field of mobile communication, in particular to a mobile communication terminal network switching method and a system, wherein the method comprises the steps of collecting multidimensional network parameters and terminal self state parameters; judging the working mode of the terminal and dynamically distributing parameter weights, pre-judging the state of a source network through a machine learning model, screening a target network, establishing a pre-connection channel, executing differential seamless switching, generating a feedback result, inhibiting ping-pong switching and optimizing the model, and supporting multi-terminal collaborative switching. The system comprises functional modules at the terminal side and optionally a cloud auxiliary module. The multi-dimensional decision, active prejudgment and seamless switching language feedback optimization core logic is adopted, so that switching accuracy, real-time performance and low power consumption are realized, switching delay is less than or equal to 50ms, the occurrence rate of ping-pong switching is reduced by more than 80%, and the novel hardware is not needed, so that the method is suitable for various mobile communication terminals and application scenes.

Inventors

  • LUO XIANFA

Assignees

  • 深圳市创盈泰盛科技有限公司

Dates

Publication Date
20260508
Application Date
20260209

Claims (8)

  1. 1. A mobile communication terminal network switching method, comprising the steps of: (1) The method comprises the steps of collecting multidimensional parameters of a source network, a candidate network and state parameters of a terminal in real time, wherein the multidimensional parameters comprise signal strength, network bandwidth, transmission delay, packet loss rate, network load rate and terminal access power consumption, and the state parameters of the terminal comprise moving speed, current running application type and residual electric quantity; (2) Judging a current working mode of the terminal according to the state parameters of the terminal, wherein the working mode comprises a low-delay priority mode, a low-power-consumption priority mode, a bandwidth priority mode and a cooperative mode, and dynamically distributing the weight of each network parameter according to the working mode to generate a network priority scoring standard; (3) Based on the historical parameter trend, pre-judging the future parameter change trend of the source network through a lightweight machine learning model, and if the pre-judging source network parameter is deteriorated below a preset threshold value, starting candidate network screening to screen out a target network with the highest comprehensive score; (4) Establishing a pre-connection channel with a target network, completing identity authentication and link negotiation, executing a differentiated switching strategy according to the type of the current running application, realizing seamless transmission of data packets, and completing network switching; (5) Collecting operation parameters of a target network after switching, generating a switching feedback result, setting a switching cooling period to inhibit ping-pong switching, and updating machine learning model parameters; (6) If the terminal is in the multi-terminal linkage scene, the main terminal uniformly generates a cooperative switching strategy, and sequentially triggers each linkage terminal to switch to the target network, so that cooperative switching verification is completed.
  2. 2. The method according to claim 1, wherein in the step (2), the total weight of the transmission delay and the packet loss rate is equal to or greater than 50% in the low-delay priority mode, the weight of the terminal access power consumption is equal to or greater than 40% in the low-power priority mode, the weight of the network bandwidth is equal to or greater than 40% in the bandwidth priority mode, and the weight of the network stability parameter is equal to or greater than 45% in the cooperative mode.
  3. 3. The method for switching the mobile communication terminal network according to claim 1, wherein in the step (3), the comprehensive score of the target network is more than or equal to 15% of the current score of the source network, the switching is prevented from being triggered by small parameter differences, and the lightweight machine learning model adopts a local deployment mode and occupies less than or equal to 10MB of the terminal storage space.
  4. 4. The method for switching a mobile communication terminal network according to claim 1, wherein in the step (4), the differentiated switching policy includes that a real-time application adopts a data packet seamless forwarding mode, a switching delay is less than or equal to 50ms, and a non-real-time application adopts a batch data packet migration mode, so that switching power consumption of the terminal is reduced.
  5. 5. The method for switching networks of mobile communication terminals according to claim 1, wherein in the step (5), the duration of the switching cooling period is 10-15s, and if the power consumption of the terminal after switching is higher than 20% before switching, the priority of the target network is temporarily lowered for 5-10min.
  6. 6. The mobile communication terminal network switching system according to any one of claims 1-5, comprising a terminal side module integrated in a mobile communication terminal, wherein the terminal side module comprises a multi-dimensional acquisition module, a mode judgment and weight distribution module, a switching pre-judgment and screening module, a seamless switching execution module, a feedback optimization module and a multi-terminal cooperation module, wherein each module realizes bidirectional data interaction through a terminal internal bus; the multi-dimensional acquisition module is used for acquiring multi-dimensional parameters of a source network and a candidate network and state parameters of the terminal; The mode judging and weight distributing module is used for judging the working mode of the terminal, dynamically distributing the network parameter weight and generating a scoring standard; The switching pre-judging and screening module is used for pre-judging the source network state through a machine learning model and screening the target network; the seamless switching execution module is used for establishing a pre-connection channel, executing a differential switching strategy and completing network switching; The feedback optimization module is used for generating a switching feedback result, inhibiting ping-pong switching and updating machine learning model parameters; The multi-terminal coordination module is used for generating a coordination switching strategy under a multi-terminal linkage scene to finish switching synchronization and verification.
  7. 7. The mobile communication terminal network switching system according to claim 6, further comprising a cloud auxiliary module, wherein the cloud auxiliary module is configured to receive switching feedback data of a plurality of terminals, establish a large data sample library, optimize general parameters of a machine learning model, and push regional network status early warning to the terminals.
  8. 8. The system according to claim 6, wherein the multi-dimensional acquisition module is dynamically adjustable in acquisition frequency, the normal scene acquisition frequency is 1 time/s, the mobile scene acquisition frequency is 5 times/s, and each module is dynamically started and stopped according to the terminal state.

Description

Mobile communication terminal network switching method and system Technical Field The invention belongs to the technical field of mobile communication, and particularly relates to a mobile communication terminal network switching method and system. Background With the rapid development of mobile communication technology, multi-network system collaborative coverage such as 5G, 4G and WiFi 6/6E has become a mainstream scene, and mobile communication terminals need to flexibly switch networks according to actual network environments, so as to ensure communication quality, reduce power consumption and improve user experience. In the prior art, network switching of a mobile communication terminal is mainly triggered based on a single index, and has the following core defects: Judging whether to switch or not only according to the signal intensity, ignoring key parameters such as network bandwidth, transmission delay, network load, terminal power consumption and the like, and easily generating the problems of strong signal but low bandwidth, delay surge after switching and the like, for example, in dense business circles, the 5G signal intensity is sufficient but the network load is too high, and the terminal still maintains 5G connection, so that data transmission is blocked; Ping-pong switching is frequent, namely, in two network signal junction areas, such as indoor and outdoor junctions and WiFi and 5G coverage overlapping areas, a terminal switches networks frequently due to signal intensity fluctuation, so that communication is interrupted, data packets are lost, and meanwhile, the power consumption of the terminal is increased; The existing switching mechanism is mostly 'passively triggered', namely, the switching process is started only when the current network signal is deteriorated below a threshold value, connection needs to be reestablished in the switching process, 100-500ms delay exists, and the low-delay scene requirements of high-definition videos, real-time games, industrial Internet of things and the like cannot be met; and the multi-terminal coordination loss is that for a multi-terminal linkage scene, each terminal independently performs network switching, the communication requirement between the terminals is not considered, and the problems of data synchronization interruption and coordination efficiency reduction between the terminals are easy to occur after partial terminals switch networks. Disclosure of Invention In order to solve the problems of one-sided, frequent ping-pong switching, delayed response and insufficient multi-terminal coordination of the conventional network switching decision, the invention provides a mobile communication terminal network switching method and system, which realize accurate switching, real-time and low power consumption, support multi-terminal coordination switching and improve communication experience and coordination efficiency in a multi-network scene. In order to realize the functions, the technical scheme adopted by the invention is as follows, a mobile communication terminal network switching method comprises the following steps: The method comprises the steps of collecting multidimensional network parameters of a source network and a candidate network in real time by a terminal, wherein the multidimensional parameters comprise signal strength, network bandwidth, transmission delay, network packet loss rate, network load rate and power consumption value of the terminal accessed to the network, and collecting state parameters of the terminal, wherein the state parameters of the terminal comprise terminal moving speed, current running application type and terminal residual electric quantity; Judging the state of a terminal and the priority of a network, namely judging the current working mode of the terminal according to the state parameters of the terminal, wherein the working mode comprises a low-delay priority mode, a low-power priority mode, a bandwidth priority mode and a cooperative mode, dynamically distributing the weight of each network parameter according to the working mode to generate a network priority scoring standard, wherein the total weight of transmission delay and packet loss rate is more than or equal to 50% in the low-delay priority mode, the weight of terminal access power consumption is more than or equal to 40% in the low-power priority mode, the weight of network bandwidth is more than or equal to 40% in the bandwidth priority mode, and the weight of network stability parameter is more than or equal to 45% in the cooperative mode; switching the pre-judging and candidate network screening, namely pre-judging the parameter change trend of the source network within 5-10 seconds in the future through a lightweight machine learning model based on the historical parameters acquired in the step (1), starting the candidate network screening if the pre-judging source network parameters are deteriorated below a preset threshold value,