IP Library › Granted Patent US 12,120,589
Granted Patent B2
US 12,120,589 · App. 17/429,258 · Granted Oct 15, 2024

Method for predicting channel load

Inventor: Daniel Reimann (Braunschweig, DE)
Assignee: VOLKSWAGEN AKTIENGESELLSCHAFT
H04W4/46G08G1/0112G08G1/0125G08G1/0145G08G1/056H04B7/0413H04B7/0626H04B7/086H04B17/373H04L1/0026H04L43/0882H04L47/127H04W4/023H04W4/027H04W4/40H04W16/28H04W24/08H04W24/10H04W28/0273H04W28/0284H04W64/006H04W72/542
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Quick Facts
Patent No.
US 12,120,589
App. No.
17/429,258
Granted
Oct 15, 2024
Kind
B2
Abstract

A method for predicting channel load. The method includes determining a first channel quality information (CQI) associated with a location and a first time point, predicting traffic flow data associated with the location and a second time point subsequent to the first time point, predicting a second CQI associated with the location and the second time point based on the first CQI and the predicted traffic flow, and selectively transmitting a message comprising the second CQI, the location, and the second time point to at least one transportation vehicle based on the second CQI. Also disclosed is a transportation vehicle and a road side unit (RSU) for performing the method.

Claims (27)

1. A method for predicting channel load, the method comprising:

determining a first channel quality information (CQI) associated with a location and a first time point;

predicting traffic flow data associated with the location and a second time point subsequent to the first time point;

predicting a second CQI associated with the location and the second time point based on the first CQI and the predicted traffic flow; and

selectively transmitting a message comprising the second CQI, the location, and the second time point to at least one transportation vehicle based on the second CQI.

2. The method of claim 1 , wherein the location is defined by a geographic coordinate and a predetermined area around the geographic coordinate.

3. The method of claim 2 , wherein the predetermined area is indicated in the message and/or wherein the area is predetermined based on a trajectory and/or an identifier of a transportation vehicle associated with the location and/or the second CQI.

4. The method of claim 1 , wherein predicting the traffic flow data comprises determining a first number of transportation vehicles entering the area between the first and second time point and determining a second number of transportation vehicles leaving the area between the first and second time point.

5. The method of claim 1 , wherein predicting the traffic flow data comprises determining a propagation direction and/or velocity of a transportation vehicle based on sensor readings and/or based on a cooperative awareness message (CAM).

6. The method of claim 1 , wherein the prediction of the traffic flow data is further based on road information and/or traffic information associated with the location.

7. The method of claim 1 , wherein the prediction of the second CQI comprises assuming predetermined channel usage per transportation vehicle located at or around the position at or around the second time point.

8. The method of claim 1 , wherein the message is broadcasted within a predetermined transmission range around the location.

9. The method of claim 8 , wherein the predetermined transmission range is determined based on a road class associated with the location.

10. The method of claim 1 , wherein the message is transmitted in response to the second CQI exceeding a predetermined first threshold and the message is not transmitted in response to the second CQI being below the first threshold.

11. The method of claim 1 , further comprising:

determining whether the first CQI exceeds one of a predetermined first and second threshold; and

predicting the traffic flow data and the second CQI, in response to the first CQI exceeding the second threshold, and/or

transmitting a message comprising the first CQI, the location, and the first time point to at least one transportation vehicle in response to the first CQI exceeding the first threshold.

12. The method of claim 1 , wherein the message is a shared channel quality (SCQ) message or a cooperative communication message (CCM).

13. A transportation vehicle comprising:

a communication module to communicate with another transportation vehicle and with a station of a communication network;

a plurality of first sensors for detecting a propagation direction and/or velocity of another transportation vehicle; and

a control unit configured to determine a first channel quality information (CQI) associated with a location and a first time point, predict traffic flow data associated with the location and a second time point subsequent to the first time point, predict a second CQI associated with the location and the second time point based on the first CQI and the predicted traffic flow, and selectively transmit a message comprising the second CQI, the location, and the second time point to at least one transportation vehicle based on the second CQI.

14. A road side unit comprising:

a communication module configured to communicate with a transportation vehicle and with another station of a communication network; and

a control unit configured to determine a first channel quality information (CQI) associated with a location and a first time point, predict traffic flow data associated with the location and a second time point subsequent to the first time point, predict a second CQI associated with the location and the second time point based on the first CQI and the predicted traffic flow, and selectively transmit a message comprising the second CQI, the location, and the second time point to at least one transportation vehicle based on the second CQI.

15. A non-transitory computer readable medium including computer program comprising instructions which, when the program is executed by a control unit of a transportation vehicle, cause the control unit to determine a first channel quality information(CQI) associated with a location and a first time point, predict traffic flow data associated with the location and a second time point subsequent to the first time point, predict a second CQI associated with the location and the second time point based on the first CQI and the predicted traffic flow, and selectively transmit a message comprising the second CQI, the location, and the second time point to at least one transportation vehicle based on the second CQI.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 22, 2021
From: REIMANN, DANIEL
To: VOLKSWAGEN AKTIENGESELLSCHAFT
Reel/Frame 057559/0381 →
Priority Claims (3)
EP 19158381 · Feb 20, 2019 · regional
EP 19171569 · Apr 29, 2019 · regional
EP 20152152 · Jan 16, 2020 · regional
Continuity (1)
Related Publication 20220130236A1 · Apr 28, 2022