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US 2026/0291805 A1Published application
System
AssigneeSoftBank Group Corp.
InventorAmane ORITO
Life of this patent
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Abstract
A system includes a processor that is configured to: collect location information of mobile terminals and analyze the collected location information to predict network demand, input a demand prediction result as a prompt to a generative artificial intelligence model in order to instruct automatic execution of an optimal network configuration according to time and location, and monitor an operating status of base stations by using sensors and monitoring software and, when an abnormality is detected, activate an automatic repair module to perform repair.
Claims20
A system comprising:
- circuitry configured to:
- receive, via a communication interface coupled to a packet-switched network, position data of mobile terminals from an information acquisition apparatus, aggregate the position data based on time intervals and spatial units to generate distribution data;
- obtain, from a storage device, the distribution data together with historical communication volume data and performance data of communication apparatuses constituting a communication network, associate the distribution data with the communication volume data and the performance data to generate demand prediction data, and compute demand prediction results for predetermined times and areas;
- construct a prompt data structure comprising the demand prediction results and event data associated with a time range and an area range, and transmit the prompt data structure together with the demand prediction data to a generative neural network model to cause the generative neural network model to output a configuration plan comprising setting parameters for the communication network for each time and each area;
- generate setting data for the communication apparatuses based on the configuration plan, and transmit the setting data to the communication apparatuses via a communication management apparatus to change parameters of the communication network for resource allocation and quality control;
- analyze operation state data of the communication apparatuses acquired from detection apparatuses and monitoring programs, upon detecting an abnormality of at least one communication apparatus, construct a repair prompt data structure comprising abnormality data and configuration data of the communication apparatuses, transmit the repair prompt data structure to the generative neural network model to obtain a repair procedure plan, and execute an automatic repair process comprising at least one of a setting change, a restart process, and a route switching process based on the repair procedure plan;
- and
- store the demand prediction results, the configuration plan, and an execution status of the repair process as learning data in the storage device, and update at least one of the prompt data structure and the demand prediction data based on the learning data.
5 more elements
A system comprising:
- circuitry configured to:
- receive position data of mobile terminals via a communication interface coupled to a packet-switched network, and aggregate the position data by time intervals and spatial units to generate distribution data;
- associate the distribution data with historical communication volume data and performance data of communication apparatuses to generate demand prediction data, and compute demand prediction results;
- construct a prompt data structure comprising the demand prediction results and event data, and transmit the prompt data structure to a generative neural network model to obtain a configuration plan for the communication network;
- generate setting data based on the configuration plan and transmit the setting data to the communication apparatuses to change network parameters;
- detect an abnormality of at least one communication apparatus from operation state data, construct a repair prompt data structure, transmit the repair prompt data structure to the generative neural network model to obtain a repair procedure plan, and execute an automatic repair process based on the repair procedure plan;
- store the demand prediction results, the configuration plan, and repair execution status as learning data;
- and
- update at least one of the prompt data structure and the demand prediction data based on the learning data.
6 more elements
A method comprising:
- receiving, by circuitry via a communication interface coupled to a packet-switched network, position data of mobile terminals, and aggregating the position data based on time intervals and spatial units to generate distribution data;
- associating the distribution data with historical communication volume data and performance data of communication apparatuses to generate demand prediction data, and computing demand prediction results for predetermined times and areas;
- constructing a prompt data structure comprising the demand prediction results and event data, and transmitting the prompt data structure to a generative neural network model to obtain a configuration plan comprising setting parameters for the communication network;
- generating setting data based on the configuration plan and transmitting the setting data to the communication apparatuses via a communication management apparatus to change parameters for resource allocation and quality control;
- analyzing operation state data, upon detecting an abnormality, constructing a repair prompt data structure and transmitting the repair prompt data structure to the generative neural network model to obtain a repair procedure plan, and executing an automatic repair process based on the repair procedure plan;
- and
- storing the demand prediction results, the configuration plan, and repair execution status as learning data, and updating at least one of the prompt data structure and the demand prediction data based on the learning data.
4 more elements
Dependencies are inferred from the claim text.