# US 12,192,752 B2 · Determination device, determination method, and determination program for switching networks based on a plurality of learning models

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- Number: US 12,192,752 B2
- Document ID: US12192752B2
- Status: Granted
- Kind: B2
- Application number: 17/633,579
- Filed: 2020-04-23
- Published: 2022-09-29
- Granted: 2025-01-07
- Earliest claimed: 2019-08-30
- Assignees: Sony Group Corporation
- Applicants: Sony Group Corporation
- Inventors: Koki Horita; Toshiya Ikenaga; Daichi Ueura; Takeshi Itagaki
- Web page: https://patentgrep.com/patent/US12192752B2

## CPC

- H04W 36/324: {by mobility data, e.g. speed data}
- H04W 36/0083: {Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists}
- H04W 36/00837: {Determination of triggering parameters for hand-off}
- H04W 36/1446: {wherein at least one of the networks is unlicensed}
- H04W 36/304: {due to measured or perceived resources with higher communication quality}
- H04W 84/12: WLAN [Wireless Local Area Networks]
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

A determination device according to the present application includes a communication unit, an acquisition unit, and a determination unit. The communication unit selectively connects to and communicates with a plurality of communication networks. The acquisition unit acquires sensor information detected by a mobile communication device used by a user and communication information indicating a state of communication quality to each communication network. The determination unit determines whether to switch to another communication network among the plurality of communication networks, on the basis of the sensor information and the communication information acquired by the acquisition unit.

## Claims

### Claim 1

A determination device comprising:
a transceiver; and
control circuitry configured to:
selectively connect to and communicate with one of a plurality of communication networks via the transceiver,
wherein the plurality of communication networks comprise one or more LTE networks, one or more 5G Sub 6 networks, one or more 5G mmWave networks and one or more WiFi networks;
acquire both:
sensor information, the sensor information including:
information regarding a current position and speed of a user that is detected by a mobile communication device being used by the user,
information about a future position and speed of the user that is inferred by the mobile communication device, and
information about a time related to downloading information by the user via the mobile communication device, and
communication network specific communication information indicating a state of communication quality of a respective one of the plurality of communication networks; and
determine whether to switch from a current communication network of the plurality of communication networks to another communication network among the plurality of communication networks, on the basis of the acquired sensor information and the acquired communication information,
wherein the current communication network is one of the one or more LTE networks, the one or more 5G Sub 6 networks, the one or more 5G mm Wave networks or the one or more WiFi networks,
wherein the another communication network is a different one of the one or more LTE networks, the one or more 5G Sub 6 networks, the one or more 5G mm Wave networks or the one or more WiFi networks,
wherein the control circuitry:
determines whether to switch from the current communication network to the another communication network based on a plurality of learning models respectively corresponding to the plurality of communication networks, each of the plurality of learning models outputting scores that are generated based on the acquired communication information and the acquired sensor information,
upon determining whether to switch from the current communication network to the another communication network, uses the plurality of learning models to select, as the another communication network, a communication network among the plurality of communication networks having a maximum score of the scores that are output from the plurality of learning models, and
switches from the current communication network to the selected communication network.

### Claim 2 (depends on 1)

The determination device according to claim 1, wherein
for each of the plurality of communication networks, the corresponding communication network specific communication information comprises at least one of a received signal strength indicator (RSSI), a LinkSpeed, or a packet communication state.

### Claim 3 (depends on 1)

The determination device according to claim 1, wherein
the selected communication network is a communication network among the plurality of communication networks having a minimum downloading delay.

### Claim 4

A determination method performed by a device and comprising:
selectively connecting to and communicating with one of a plurality of communication networks,
wherein the plurality of communication networks comprise one or more LTE networks, one or more 5G Sub 6 networks, one or more 5G mmWave networks and one or more WiFi networks;
acquiring both:
sensor information, the sensor information including:
information regarding a current position and speed of a user that is detected by a mobile communication device being used by the user,
information about a future position and speed of the user that is inferred by the mobile communication device, and
information about a time related to downloading information by the user via the mobile communication device, and
communication network specific communication information indicating a state of communication quality of a respective one of the plurality of communication networks; and
determining whether to switch from a current communication network of the plurality of communication networks to another communication network among the plurality of communication networks, on the basis of the acquired sensor information and acquired communication information,
wherein the current communication network is one of the one or more LTE networks, the one or more 5G Sub 6 networks, the one or more 5G mm Wave networks or the one or more WiFi networks,
wherein the another communication network is a different one of the one or more LTE networks, the one or more 5G Sub 6 networks, the one or more 5G mmWave networks or the one or more WiFi networks,
wherein the method further comprises:
determining whether to switch from the current communication network to the another communication network based on a plurality of learning models respectively corresponding to the plurality of communication networks, each of the plurality of learning models outputting scores that are generated based on the acquired communication information and the acquired sensor information,
upon determining whether to switch from the current communication network to the another communication network, using the plurality of learning models to select, as the another communication network, a communication network among the plurality of communication networks having a maximum score of the scores that are output from the plurality of learning models, and
switching from the current communication network to the selected communication network.

### Claim 5

A non-transitory computer product containing a determination program for causing a computer to:
selectively connecting to and communicating with one of a plurality of communication networks,
wherein the plurality of communication networks comprise one or more LTE networks, one or more 5G Sub 6 networks, one or more 5G mmWave networks and one or more WiFi networks;
acquiring both:
information regarding a current position and speed of a user that is detected by a mobile communication device being used by the user,
information about a future position and speed of the user that is inferred by the mobile communication device, and
information about a time related to downloading information by the user via the mobile communication device, and
communication network specific communication information indicating a state of communication quality of a respective one of the plurality of communication networks; and
determining whether to switch from a current communication network of the plurality of communication networks to another communication network among the plurality of communication networks, on the basis of the acquired sensor information and acquired communication information,
wherein the current communication network is one of the one or more LTE networks, the one or more 5G Sub 6 networks, the one or more 5G mm Wave networks or the one or more WiFi networks,
wherein the another communication network is a different one of the one or more LTE networks, the one or more 5G Sub 6 networks, the one or more 5G mm Wave networks or the one or more WiFi networks,
wherein the method further comprises:
determining whether to switch from the current communication network to the another communication network based on a plurality of learning models respectively corresponding to the plurality of communication networks, each of the plurality of learning models outputting scores that are generated based on the acquired communication information and the acquired sensor information,
upon determining whether to switch from the current communication network to the another communication network, using the plurality of learning models to select, as the another communication network, a communication network among the plurality of communication networks having a maximum score of the scores that are output from the plurality of learning models, and
switching from the current communication network to the selected communication network.
