# US 12,120,589 B2 · Method for predicting channel load > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,120,589 B2 - Document ID: US12120589B2 - Status: Granted - Kind: B2 - Application number: 17/429,258 - Filed: 2020-02-18 - Published: 2022-04-28 - Granted: 2024-10-15 - Earliest claimed: 2019-02-20 - Assignees: Volkswagen Aktiengesellschaft - Applicants: Volkswagen Aktiengesellschaft - Inventors: Daniel Reimann - Web page: https://patentgrep.com/patent/US12120589B2 ## CPC - H04W 4/46: for vehicle-to-vehicle communication [V2V] - G08G 1/0112: {from the vehicle, e.g. floating car data [FCD]} - G08G 1/0125: {Traffic data processing} - G08G 1/0145: {for active traffic flow control} - G08G 1/056: with provision for distinguishing direction of travel - G08G 1/096708: {where the received information might be used to generate an automatic action on the vehicle control} - G08G 1/096741: {where the source of the transmitted information selects which information to transmit to each vehicle} - G08G 1/096791: {where the origin of the information is another vehicle} - G08G 1/163: {involving continuous checking} - H04B 7/0413: MIMO systems - H04B 7/0626: {Channel coefficients, e.g. channel state information [CSI]} - H04B 7/086: {using weights depending on external parameters, e.g. direction of arrival [DOA], predetermined weights or beamforming} - H04B 17/373: Predicting channel quality {or other radio frequency [RF]} parameters - H04L 1/0026: {Transmission of channel quality indication} - H04L 43/0882: Utilisation of link capacity - H04L 47/127: by using congestion prediction - H04W 4/02: Services making use of location information - H04W 4/021: Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences - H04W 4/023: {using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds} - H04W 4/027: {using movement velocity, acceleration information} - H04W 4/40: for vehicles, e.g. vehicle-to-pedestrians [V2P] - H04W 4/44: for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H] - H04W 16/28: using beam steering - H04W 24/08: Testing, {supervising or monitoring} using real traffic - H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports} - H04W 28/0273: {adapting protocols for flow control or congestion control to wireless environment, e.g. adapting transmission control protocol [TCP] (wireless network protocols or protocol adaptations to wireless operation, e.g. wireless application protocol H04W80/00)} - H04W 28/0284: {detecting congestion or overload during communication (monitoring arrangements H04L43/00)} - H04W 64/006: {with additional information processing, e.g. for direction or speed determination} - H04W 72/542: using measured or perceived quality - H04L 1/0033: {arrangements specific to the transmitter} - H04L 1/0036: {arrangements specific to the receiver} - H04W 28/0268: {using specific QoS parameters for wireless networks, e.g. QoS class identifier [QCI] or guaranteed bit rate [GBR] (negotiating SLA or negotiating QoS H04W28/24)} - H04W 72/02: Selection of wireless resources by user or terminal - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) - G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93}) - H04B: TRANSMISSION - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## 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 ### Claim 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. ### Claim 2 (depends on 1) The method of claim 1, wherein the location is defined by a geographic coordinate and a predetermined area around the geographic coordinate. ### Claim 3 (depends on 2) 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. ### Claim 4 (depends on 1) 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. ### Claim 5 (depends on 1) 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). ### Claim 6 (depends on 1) 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. ### Claim 7 (depends on 1) 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. ### Claim 8 (depends on 1) The method of claim 1, wherein the message is broadcasted within a predetermined transmission range around the location. ### Claim 9 (depends on 8) The method of claim 8, wherein the predetermined transmission range is determined based on a road class associated with the location. ### Claim 10 (depends on 1) 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. ### Claim 11 (depends on 1) 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. ### Claim 12 (depends on 1) The method of claim 1, wherein the message is a shared channel quality (SCQ) message or a cooperative communication message (CCM). ### Claim 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. ### Claim 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. ### Claim 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.