Modifying a vehicular radio based on a schedule of point-to-point vehicular communications

Patent metadata

Field	Value
Publication number	US-12160852-B2
Application number	US-202217573408-A
Country	US
Kind code	B2
Filing date	Jan 11, 2022
Priority date	Sep 4, 2020
Publication date	Dec 3, 2024
Grant date	Dec 3, 2024

Abstract

The disclosure includes embodiments for modifying a vehicle-to-everything (V2X) radio of an ego vehicle that is a connected vehicle. In some embodiments, a method includes analyzing, by a machine learning module executed by a processor, a local dynamic map generated by the ego vehicle to determine schedule data describing a schedule for the ego vehicle to transmit a millimeter wave (mmWave) message to a remote vehicle. The method includes transmitting a V2X message including the schedule data for receipt by the remote vehicle so that the remote vehicle has access to the schedule. The method includes modifying an operation of the V2X radio of the ego vehicle based on the schedule so that the V2X radio transmits the mmWave message to the remote vehicle in compliance with the schedule. The method includes transmitting the mmWave message to the remote vehicle in compliance with the schedule.

First claim

What is claimed is:

1. A method comprising:
analyzing a local dynamic map including digital data about endpoints of a network in a roadway environment, wherein the digital data includes a set of cells that represent the roadway environment and state information including whether the cells are occupied on a cell-by-cell basis;
determining, based on the analyzing of the local dynamic map, schedule data describing a schedule for a first endpoint to transmit a millimeter wave (mmWave) message to a second endpoint, wherein the schedule describes times and locations for transmitting the mmWave message between the first endpoint and the second endpoint;
determining scenario data describing a scenario of one or more of the first endpoint and the second endpoint, wherein the first endpoint and the second endpoints are included in the endpoints of the network in the roadway environment;
retrieving, based on the scenario data, feedback data describing a recommended beam alignment setting which feedback indicates achieved a successful mm Wave transmission previously in the scenario; and
modifying an operation of a vehicle-to-everything (V2X) radio of the first endpoint based on at least one of the recommended beam alignment setting and the schedule so that the V2X radio of the first endpoint exchanges the mmWave message with the second endpoint consistent with at least one of the recommended beam alignment setting and the schedule.

2. The method of claim 1 , wherein the analyzing of the local dynamic map includes estimating changes in the local dynamic map on the cell-by-cell basis so that the schedule is adapted to one or more anticipated changes in the local dynamic map that occur over time.

3. The method of claim 1 , wherein the local dynamic map is updated prior to the analyzing and the update includes determining on the cell-by-cell basis a posterior probability that each cell is occupied and including the posterior probability for each cell in the state information for that cell.

4. The method of claim 1 , wherein the retrieving includes:
generating a beam request message including the scenario data; and
transmitting the beam request message to a server via a V2X network;
wherein the feedback data is based on the beam request message.

5. The method of claim 4 , wherein the beam request message causes the server to query a beam alignment database based on the scenario data and to generate the feedback data describing the recommended beam alignment setting as a query result.

6. The method of claim 1 , further comprising:
modifying an operation of the V2X radio of the second endpoint based on the recommended beam alignment setting to cause a beam of the V2X radio of the first endpoint to be aligned with a beam of the V2X radio of the second endpoint so that the V2X radio of the first endpoint and the V2X radio of the second endpoint exchange the mmWave message using the recommended beam alignment setting.

7. The method of claim 1 , further comprising:
generating mmWave performance data related to an exchange of the mmWave message using the recommended beam alignment setting; and
uploading the mmWave performance data to a server that stores the feedback data as the feedback.

8. A system comprising:
a computer system of a first endpoint including a non-transitory memory storing computer code which, when executed by the computer system, causes the computer system to:
analyze a local dynamic map including digital data about endpoints of a network in a roadway environment, wherein the digital data includes a set of cells that represent the roadway environment and state information including whether the cells are occupied on a cell-by-cell basis;
determine, based on the analysis of the local dynamic map, schedule data describing a schedule for a first endpoint to transmit a millimeter wave (mmWave) message to a second endpoint, wherein the schedule describes times and locations for transmitting the mmWave message between the first endpoint and the second endpoint;
determine scenario data describing a scenario of one or more of the first endpoint and the second endpoint, wherein the first endpoint and the second endpoints are included in the endpoints of the network in the roadway environment;
retrieve, based on the scenario data, feedback data describing a recommended beam alignment setting which feedback indicates achieved a successful mmWave transmission previously in the scenario; and
modify an operation of a vehicle-to-everything (V2X) radio of the first endpoint based on at least one of the recommended beam alignment setting and the schedule so that the V2X radio of the first endpoint exchanges the mmWave message with the second endpoint consistent with at least one of the recommended beam alignment setting and the schedule.

9. The system of claim 8 , wherein the mmWave message is transmitted using the recommended beam alignment setting at a time and a location described by the schedule.

10. The system of claim 8 , wherein the scenario data describing the scenario is based on sensor data describing measurements of a physical environment proximate to the first endpoint.

11. The system of claim 8 , wherein the computer code further causes the computer system to:
generate a beam request message including the scenario data; and
transmit the beam request message to a server via a V2X network;
wherein the feedback data is based on the beam request message.

12. The system of claim 11 , wherein the beam request message causes the server to query a beam alignment database based on the scenario data and to generate the feedback data describing the recommended beam alignment setting as a query result.

13. The system of claim 8 , wherein the computer code further causes the computer system to:
modify an operation of the V2X radio of the second endpoint based on the recommended beam alignment setting to cause a beam of the V2X radio of the first endpoint to be aligned with a beam of the V2X radio of the second endpoint so that the V2X radio of the first endpoint and the V2X radio of the second endpoint exchange the mmWave message using the recommended beam alignment setting.

14. The system of claim 8 , wherein the computer code further causes the computer system to:
generate mmWave performance data related to an exchange of the mmWave message using the recommended beam alignment setting; and
upload the mmWave performance data to a server that stores the feedback data as the feedback.

15. A computer program product comprising a non-transitory memory of a computer system of a first endpoint storing computer-executable code that, when executed by a processor, causes the processor to:
analyze a local dynamic map including digital data about endpoints of a network in a roadway environment, wherein the digital data includes a set of cells that represent the roadway environment and state information including whether the cells are occupied on a cell-by-cell basis;
determine, based on the analysis of the local dynamic map, schedule data describing a schedule for a first endpoint to transmit a millimeter wave (mmWave) message to a second endpoint, wherein the schedule describes times and locations for transmitting the mmWave message between the first endpoint and the second endpoint;
determine scenario data describing a scenario of one or more of the first endpoint and the second endpoint, wherein the first endpoint and the second endpoints are included in the endpoints of the network in the roadway environment;
retrieve, based on the scenario data, feedback data describing a recommended beam alignment setting which fe

Assignees

• Toyota Eng & Mfg North America

Inventors

• Lu Hongsheng
• Cheng Bin

Classifications

• H04W4/46

  for vehicle-to-vehicle communication [V2V] · CPC title

• H04L41/16

  using machine learning or artificial intelligence · CPC title

• H04W84/005

  Moving wireless networks · CPC title

• H04W72/0446 Primary

  Resources in time domain, e.g. slots or frames · CPC title

• H04W4/40 Primary

  for vehicles, e.g. vehicle-to-pedestrians [V2P] · CPC title