Cloud-based network optimizer for connected vehicles
地域：
Toyota-shi, Aichi-ken
摘要
The disclosure includes embodiments for providing cloud-based network optimization for connected vehicles. In some embodiments, a method includes receiving, by a connected vehicle, configuration data describing a set of candidate vehicle-to-anything (V2X) channels of a V2X radio of the connected vehicle and configuration selection probability values describing a likelihood that particular candidate V2X channels of the set will be selected. In some embodiments, the method includes selecting a V2X channel from the set that does not have the highest likelihood of being selected. In some embodiments, the method includes configuring the V2X radio of the connected vehicle to transmit data packets using the selected V2X channel.
說明書
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The specification relates to providing cloud-based network optimization for connected vehicles.
Connected vehicles have access to many different radio types such as the following: Dedicated Short-Range Communication (DSRC); Long-Term Evolution (LTE); wireless fidelity (WiFi); and millimeter wave (mmWave). Each radio type performs differently in different situations. There are existing solutions which seek to help connected vehicles select an optimal radio type to use, but these have major deficiencies.
There are existing solutions which use a cloud server to collect network data, determine optimum radio types for different geographic regions and they provide data to connected vehicles which specify the optimum radio type. All the different connected vehicles within the geographic region then use the optimum radio type. These existing solutions have three deficiencies which make them inadequate for use in the real-world. First, the existing solutions do not consider external channel load and resource demand when determining optimum radio types, and as a result, frequently the radio type which is designated as being optimum is actually not optimum. Second, the existing solutions define an optimum radio type and then require all connected vehicles to use this optimum radio type, which results in channel congestion and poor performance by the radio type designated as optimum. Third, the existing solutions do not consider the need or benefit of globally configuring which radio types are used within each geographic region with the goal of maximizing the residual channel load experienced for each radio type in all the geographic regions.
權(quán)利要求
What is claimed is:1. A method comprising:receiving, by a connected vehicle, configuration data describing a set of candidate vehicle-to-anything (V2X) channels of a V2X radio of the connected vehicle; determining configuration selection probabilities describing a likelihood that particular candidate V2X channels of the set will be selected based in part on a resource demand as determined by an amount of network traffic generated by controllable vehicles within a geographic region that includes the connected vehicle; selecting a V2X channel from the set that does not have a highest likelihood of being selected based on the configuration selection probabilities; and configuring the V2X radio of the connected vehicle to transmit data packets using the selected V2X channel. 2. The method of claim 1 , wherein configuration selection probabilities are operable to maximize a residual channel load experienced in a plurality of geographic regions for all the V2X channels supported by the V2X radio. 3. The method of claim 1 , wherein the configuration selection probabilities are determined based in part on an amount of traffic generated by non-vehicle wireless devices within the geographic region that includes the connected vehicle. 4. The method of claim 1 , wherein the connected vehicle sends its location to a network optimizer and the configuration data is received from the network optimizer responsive to the connected vehicle entering the geographic region. 5. The method of claim 1 , wherein the connected vehicle is a controllable vehicle because the connected vehicle includes an onboard unit having a configuration selector that is operable to execute the method when executed by the onboard unit. 6. The method of claim 1 , wherein the connected vehicle is an automated vehicle. 7. The method of claim 1 , wherein the connected vehicle is a highly automated vehicle that operates itself without human intervention. 8. The method of claim 1 , wherein the selected V2X channel is selected from a group that includes one of the following: a wireless fidelity (WiFi) channel; a 3G channel; a 4G channel; a Long-Term Evolution (LTE) channel; a millimeter wave communication channel; a Dedicated Short-Range Communication (DSRC) channel; and an LTE-V2X channel. 9. The method of claim 1 , wherein the selected V2X channel is selected from a group that does not include one of the following: a WiFi channel; a 3G channel; a 4G channel; an LTE channel; a millimeter wave communication channel; a DSRC channel; and an LTE-V2X channel. 10. A system comprising:a processor communicatively coupled to a non-transitory memory that stores computer code that is operable, when executed by the processor, to cause the processor to: receive configuration data describing a set of candidate vehicle-to-anything (V2X) channels of a V2X radio of a connected vehicle; determine configuration selection probabilities describing a likelihood that particular candidate V2X channels of the set will be selected based in part on a resource demand as determined by an amount of network traffic generated by controllable vehicles within a geographic region that includes the connected vehicle; selecting a V2X channel from the set that does not have a highest likelihood of being selected based on the configuration selection probabilities; and configuring the V2X radio of the connected vehicle to transmit data packets using the selected V2X channel. 11. The system of claim 10 , wherein configuration selection probabilities are operable to maximize a residual channel load experienced in a plurality of geographic regions for all the V2X channels supported by the V2X radio. 12. The system of claim 10 , wherein the configuration selection probabilities are determined based in part on an amount of traffic generated by non-vehicle wireless devices within the geographic region that includes the connected vehicle. 13. The system of claim 10 , wherein the controllable vehicles each include a configuration selector. 14. The system of claim 10 , wherein the connected vehicle is a controllable vehicle because the connected vehicle includes a configuration selector that is described by the computer code. 15. The system of claim 10 , wherein the connected vehicle is an automated vehicle. 16. The system of claim 10 , wherein the connected vehicle is a highly automated vehicle that operates itself without human intervention. 17. A computer program product comprising a non-transitory memory storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:receiving configuration data describing a set of candidate vehicle-to-anything (V2X) channels of a V2X radio of a connected vehicle; determining configuration selection probabilities describing a likelihood that particular candidate V2X channels of the set will be selected based in part on a resource demand as determined by an amount of network traffic generated by controllable vehicles within a geographic region that includes the connected vehicle; selecting a V2X channel from the set that does not have a highest likelihood of being selected based on the configuration selection probabilities; and configuring the V2X radio of the connected vehicle to transmit data packets using the selected V2X channel. 18. The computer program product of claim 17 , wherein configuration selection probabilities are operable to maximize a residual channel load experienced in a plurality of geographic regions for all the V2X channels supported by the V2X radio. 19. The computer program product of claim 17 , wherein the configuration selection probabilities are determined based in part on an amount of traffic generated by non-vehicle wireless devices within the geographic region that includes the connected vehicle. 20. The computer program product of claim 17 , wherein the connected vehicle sends its location to a network optimizer and the configuration data is received from the network optimizer responsive to the connected vehicle entering the geographic region.
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