Search

CN-122028188-A - Network resource pre-allocation method and portable WiFi device

CN122028188ACN 122028188 ACN122028188 ACN 122028188ACN-122028188-A

Abstract

The application relates to the technical field of Internet communication, in particular to a network resource pre-allocation method and a portable WiFi device, which are based on locally acquired user schedules, application histories and environment data, A prediction of a quality of service parameter of an intended network application within a specific time window in the future is generated by a local time sequence prediction model, including an intended bandwidth, a delay requirement and a start time. And then, generating a resource pre-allocation strategy containing a pre-configuration instruction according to the prediction and the predictive load information acquired from the network side, wherein the resource pre-allocation strategy is used for establishing or pre-reserving the network slice with corresponding service quality guarantee before the actual data flow is generated. And finally, executing a pre-configuration instruction at a preset time before the starting time, and sending a slice pre-establishment request to a network side or reserving transmission resources locally. The method can reserve resources in advance before application starting through active prediction and pre-configuration at the terminal side, thereby improving timeliness and certainty of service quality and optimizing network resource utilization rate.

Inventors

  • XU LEI

Assignees

  • 山西中光数字科技有限公司

Dates

Publication Date
20260512
Application Date
20260205

Claims (10)

  1. 1. A network resource pre-allocation method, characterized in that it is executed by a user side terminal device, comprising: S1, a prediction step, namely generating a service quality parameter prediction of at least one expected network application in a future specific time window through a time sequence prediction model of local operation based on locally acquired user schedule, application history and environmental data, wherein the service quality parameter at least comprises an expected bandwidth, a time delay requirement and a starting time; s2, generating a resource pre-allocation strategy containing a pre-allocation instruction according to the service quality parameter prediction and the predictive load information acquired from the network side, wherein the pre-allocation instruction is used for establishing or pre-reserving a network slice with corresponding service quality guarantee before the actual data flow of the expected network application; And S3, executing the pre-configuration instruction at a preset time point before the starting time, and sending a slice pre-establishment request carrying pre-configuration parameters to a network side through a standardized interface or reserving corresponding transmission resources in a local wireless resource scheduler.
  2. 2. The method according to claim 1, wherein the predictive load information obtained from the network side is obtained based on a future period cell load prediction map provided by a network digital twin platform, or by local model estimation after acquisition of neighbor measurement reports by the terminal device as a probe; and in the policy generation step, the resource pre-allocation policy judges whether to trigger pre-handover to a target cell or an alternative radio access technology according to the load information, and the handover instruction is incorporated into the pre-allocation instruction.
  3. 3. The method according to claim 1, wherein the environmental data includes a movement trajectory acquired by an inertial measurement unit and a positioning module built in the terminal device, and the policy generating step further includes: Based on the moving track and pre-stored environment map information, estimating the wireless channel state change of the position of the terminal equipment in the future specific time window through a channel prediction model; The pre-configuration instructions in the resource pre-allocation policy include instructions to activate a backup transmission path or adjust multiple antenna beamforming parameters when the estimated channel quality will be below a threshold value required for a particular application.
  4. 4. The method according to claim 1, wherein in the policy generating step, the task type and semantic priority of the intended network application are identified as follows: analyzing a user calendar event or detecting a pre-operation mode of application starting, and determining an application task to be initiated; Determining a service quality parameter baseline and an acceptable degradation path corresponding to the task type according to a mapping relation library of preset task semantics and a service quality template; Wherein the pre-configured parameters are set at least according to the quality of service parameter baseline.
  5. 5. The method according to claim 1, wherein the method further comprises: s4, cooperation step: performing cooperation negotiation with one or more other terminal devices within a preset communication range, and establishing a temporary device cooperation cluster; When the resource pre-allocation strategy is generated, evaluating the gain of the distributed resource pool sharing or the cooperative relay transmission pair meeting the service quality parameter prediction through the equipment cooperative cluster; and if the gain meets the requirement, incorporating the scheduling of the cooperative transmission into the pre-configuration instruction.
  6. 6. The method of claim 5, wherein the collaboration negotiation employs a multi-agent game-based distributed decision mechanism in which each terminal device acts as an agent to independently decide whether to join the collaboration and the amount of resources contributed or requested until a nash equilibrium state is achieved based on its own resource status, quality of service requirements, and collaboration offers received from neighboring devices.
  7. 7. The method according to claim 1, wherein the method further comprises: S5, transaction steps: When it is determined that an idle wireless resource exists in a certain period of time according to the predicting step and the local resource condition, generating a standardized resource yielding certificate with a time stamp and a digital signature; Issuing a transaction offer containing the resource yielding voucher and the expected price through a device-to-device communication link or accessing a distributed account network; after receiving the promise of the terminal equipment of the purchaser and completing micro payment settlement based on the intelligent contract, opening the local radio frequency resource to the terminal equipment of the purchaser for use according to the promise configuration in the period of the promise of the certificate.
  8. 8. The method of claim 1, wherein the slice pre-establishment request sent to the network side explicitly includes a pre-activation time of a slice, an expected duration, a minimum quality of service guarantee parameter, and a post-slice dormancy resource reclamation policy, and the standardized interface is an application programming interface that complies with a network capability open platform specification.
  9. 9. A portable WiFi device for implementing the network resource pre-allocation method according to any one of claims 1-8, comprising: The heterogeneous access and communication module is integrated with the multimode baseband chip and the software definable radio frequency front end and is used for connecting various wireless access networks and performing device-to-device communication; The multi-source sensing and fusion module comprises a sensor suite for acquiring user behavior and environment data and a probe unit for acquiring network side and air interface state data; The local intelligent decision module is internally provided with a special neural network processor and is used for running the time sequence prediction model, the channel prediction model and a resource pre-allocation strategy generation algorithm; the dynamic network slice execution module is used for instantiating and managing one or more micro slices with different service quality guarantee levels at a local operating system kernel layer or a protocol stack layer, and executing the creation, activation, dormancy and resource scheduling of the slices according to the pre-configuration instruction; And the collaboration and transaction service module is used for executing collaboration networking negotiation with the adjacent equipment, generation and verification of resource certificates and transaction processing based on the distributed account book.
  10. 10. The portable WiFi device according to claim 9, wherein: the software definable radio frequency front end supports the dynamic adjustment of the working frequency band, the bandwidth and the transmitting power through software instructions; The local intelligent decision module is divided into a common calculation area and a safety isolation area at a hardware level, and a part of the time sequence prediction model related to user privacy data only runs in the safety isolation area; The collaboration and transaction service module includes a blockchain security unit that meets universal security standards for storing digital identity keys and performing cryptographic operations related to resource transactions.

Description

Network resource pre-allocation method and portable WiFi device Technical Field The application relates to the technical field of internet communication, in particular to a network resource pre-allocation method and a portable WiFi device. Background Currently, personal mobile hotspot devices represented by the portable WiFi have become an important network access mode, but the core functions of the personal mobile hotspot devices are still limited to simple routing forwarding and signal relay, and play a role of a transparent pipeline. These devices rely entirely on the real-time state of the operator network or upstream WiFi, employing passive, reactive resource allocation policies. When users perform operations sensitive to network quality, such as video conference, online collaboration and the like, the equipment cannot predict the demands and coordinate resources in advance, so that jamming and interruption occur at the moment of network congestion or signal switching, and the user experience is not guaranteed. Content of the application The application aims to provide a network resource pre-allocation method and a portable WiFi device, so that the portable WiFi device has intelligent prediction capability based on user intention and environment, and actively applies for a network side or pre-configures deterministic resources in a local area. In a first aspect, an embodiment of the present application provides a network resource pre-allocation method, which is executed by a user side terminal device, including: S1, a prediction step, namely generating a service quality parameter prediction of at least one expected network application in a future specific time window through a time sequence prediction model of local operation based on locally acquired user schedule, application history and environmental data, wherein the service quality parameter at least comprises an expected bandwidth, a time delay requirement and a starting time; s2, generating a resource pre-allocation strategy containing a pre-allocation instruction according to the service quality parameter prediction and the predictive load information acquired from the network side, wherein the pre-allocation instruction is used for establishing or pre-reserving a network slice with corresponding service quality guarantee before the actual data flow of the expected network application; And S3, executing the pre-configuration instruction at a preset time point before the starting time, and sending a slice pre-establishment request carrying pre-configuration parameters to a network side through a standardized interface or reserving corresponding transmission resources in a local wireless resource scheduler. In some embodiments, the predictive load information obtained from the network side is obtained based on a future period cell load prediction graph provided by a network digital twin platform, or by local model estimation after the terminal device is used as a probe to collect neighbor cell measurement reports; and in the policy generation step, the resource pre-allocation policy judges whether to trigger pre-handover to a target cell or an alternative radio access technology according to the load information, and the handover instruction is incorporated into the pre-allocation instruction. In some embodiments, the environment data includes a movement track acquired by an inertial measurement unit and a positioning module built in the terminal device, and the policy generating step further includes: Based on the moving track and pre-stored environment map information, estimating the wireless channel state change of the position of the terminal equipment in the future specific time window through a channel prediction model; The pre-configuration instructions in the resource pre-allocation policy include instructions to activate a backup transmission path or adjust multiple antenna beamforming parameters when the estimated channel quality will be below a threshold value required for a particular application. In some embodiments, in the policy generating step, identifying the task type and the semantic priority of the expected network application is specifically: analyzing a user calendar event or detecting a pre-operation mode of application starting, and determining an application task to be initiated; Determining a service quality parameter baseline and an acceptable degradation path corresponding to the task type according to a mapping relation library of preset task semantics and a service quality template; Wherein the pre-configured parameters are set at least according to the quality of service parameter baseline. In some embodiments, the method further comprises: s4, cooperation step: performing cooperation negotiation with one or more other terminal devices within a preset communication range, and establishing a temporary device cooperation cluster; When the resource pre-allocation strategy is generated, evaluating the gain of the distri