IP Library › Granted Patent US 12,573,852
Granted Patent B2
US 12,573,852 · App. 17/709,924 · Granted Mar 10, 2026

Power management of roadside units

Inventors: Satish Chandra Jha (Portland, OR); Kathiravetpillai Sivanesan (Portland, OR); Andradige Silva (Portland, OR); Suman A. Sehra (Folsom, CA); Leonardo Gomes Baltar (Munich, DE); S M Iftekharul Alam (Hillsboro, OR); Vesh Raj Sharma Banjade (Portland, OR)
Assignee: Intel Corporation
H02J3/381G05B13/0265H02J2300/22H02J2300/28
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,573,852
App. No.
17/709,924
Filed
Mar 31, 2022
Granted
Mar 10, 2026
Kind
B2
Art Unit
2115
USPC
700/287
Abstract

Systems and techniques for power management for a roadside unit (RSU) are described herein. In an example, a system may include a processor and memory coupled to the processor with instructions that cause the processor to receive multiple input factors. The multiple input factors corresponding an environmental condition at a location at which the RSU is located and at least one of a power saving preference for the RSU, a green energy usage preference for the RSU, a type of energy source available to the RSU, a quality of service requirement for the RSU, and a capability of the RSU. The processor may transmit a control packet, including parameters to control a mixture of green energy use by the RSU from a green energy power source and traditional energy use by the RSU from a traditional energy power source to the RSU.

Claims (59)

1 . A system for power management for a roadside unit (RSU), the system comprising:

a processor; and

memory coupled to the processor, the memory configured to store instructions that, when executed by processor, cause the processor to execute operations, the operations comprising:

receiving multiple input factors corresponding to an environmental condition at a location at which the RSU is located and at least one of a power saving preference for the RSU, a green-energy usage preference for the RSU, a type of energy source connected to the RSU, a quality of service (QOS) requirement, or a capability of the RSU, wherein the capability of the RSU includes at least one operation capable of being performed by the RSU; and

transmitting a control packet to the RSU, the control packet including parameters to control a mixture of green energy use by the RSU from a green-energy power source and traditional energy use by the RSU from a traditional energy power source, wherein both of the green energy power source and the traditional power source are active and connected to the RSU, and wherein the parameters include:

a green energy usage target, wherein the green energy usage target is a percentage of an estimated maximum power consumption of the RSU; and

a power consumption reduction target, wherein the power consumption reduction target is a reduction of the estimated maximum power consumption of the RSU.

2 . The system of claim 1 , wherein the green-energy power source includes a solar energy generator or a wind energy generator.

3 . The system of claim 2 , wherein the solar energy generator or the wind energy generator is connected to the RSU independently from a power grid.

4 . The system of claim 1 , wherein the traditional power source includes mains power provided from an energy supplier over a power grid.

5 . The system of claim 1 , wherein the traditional power source is the only active power source connected to the RSU, wherein a particular parameter of the parameters is a power consumption reduction target, and wherein the power consumption reduction target is a percentage reduction of an estimated maximum power consumption of the RSU.

6 . The system of claim 5 , wherein the memory includes instructions, that when executed by the processor, cause the processor to execute operations comprising:

powering off a component of the RSU;

placing an additional component of the RSU into a low-power state; and

disabling a particular operation of the RSU to progress toward the power consumption reduction target.

7 . The system of claim 6 , wherein powering off of the component of the RSU, the placing of the additional component of the RSU into a low-power state, and the disabling the particular operation is done for a period of time, and wherein the period of time is determined by a machine-learning algorithm to progress toward the power consumption reduction target.

8 . The system of claim 1 , wherein the memory includes instructions, that when executed by the processor, cause the processor to execute operations comprising:

forming a collaborative group, the collaborative group including the RSU and a second RSU communicatively coupled to the RSU;

determining a power-level demand for the RSU; and

responsive to the power-level demand, transferring the at least one operation to the second RSU.

9 . A computer implemented method of power management for a roadside unit (RSU), the method comprising:

receiving multiple input factors corresponding to an environmental condition at a location at which the RSU is located and at least one of a power saving preference for the RSU, a green-energy usage preference for the RSU, a type of energy source connected to the RSU, a quality of service (QOS) requirement, or a capability of the RSU, wherein the capability of the RSU includes at least one operation capable of being performed by the RSU; and

transmitting a control packet to the RSU, the control packet including parameters to control a mixture of green energy use by the RSU from a green-energy power source and traditional energy use by the RSU from a traditional energy power source, wherein both of the green energy power source and the traditional power source are active and connected to the RSU, and wherein the parameters include:

a green energy usage target, wherein the green energy usage target is a percentage of an estimated maximum power consumption of the RSU; and

a power consumption reduction target, wherein the power consumption reduction target is a reduction of the estimated maximum power consumption of the RSU.

10 . The method of claim 9 , wherein the green-energy power source includes at least one of a solar energy generator or a wind energy generator.

11 . The method of claim 10 , wherein the solar energy generator or the wind energy generator is directly connected to the RSU.

12 . The method of claim 9 , wherein the traditional power source is connected to the RSU via an indirect connection.

13 . The method of claim 9 , further comprising:

forming a collaborative group, the collaborative group including the RSU and a second RSU communicatively coupled to the RSU;

determining a power-level demand for the RSU; and

responsive to the power-level demand, transferring the operation to the second RSU.

14 . The method of claim 13 , wherein the RSU and the second RSU are configurable to transmit respective status information, the respective status information including a current resource usage and at least one of: an available energy source type, a green-energy availability, an environment perception, a compute capability, a communication demand, or a compute demand.

15 . The method of claim 14 , wherein the current resource usage includes information regarding one or more sensors coupled to the RSU and one or more sensors coupled to the second RSU.

16 . The method of claim 15 , wherein the information regarding the one or more sensors coupled to the RSU includes information about an energy source type connected to the one or more sensors coupled to the RSU, and wherein the information about the one or more sensors coupled to the second RSU includes information about an energy source type connected to the one or more sensors coupled to the second RSU, and wherein the information regarding the one or more sensors coupled to the RSU and the one or more sensors coupled to the second RSU further includes information about an availability of a low-power wake-up capability of the one or more sensors coupled to the RSU and the one or more sensors coupled to the second RSU.

17 . At least one non-transitory machine-readable medium including instructions that, when executed with a processor of a computing device, cause the computing device to perform electronic operations to:

receive multiple input factors corresponding to an environmental condition at a location at which a roadside unit (RSU) is located and at least one of a power saving preference for the RSU, a green-energy usage preference for the RSU, a type of energy source connected to the RSU, a quality of service (QOS) requirement, or a capability of the RSU, wherein the capability of the RSU includes at least one operation capable of being performed by the RSU; and

transmit a control packet to the RSU, the control packet including parameters to control a mixture of green energy use by the RSU from a green-energy power source and traditional energy use by the RSU from a traditional energy power source, wherein both of the green energy power source and the traditional power source are active and connected to the RSU, and wherein the parameters include:

a green energy usage target, wherein the green energy usage target is a percentage of an estimated maximum power consumption of the RSU; and

a power consumption reduction target, wherein the power consumption reduction target is a reduction of the estimated maximum power consumption of the RSU.

18 . The at least one non-transitory machine-readable medium of claim 17 , wherein the traditional power source is the only active power source connected to the RSU, wherein a particular parameter of the parameters is a power consumption reduction target, and wherein the power consumption reduction target is a percentage reduction of an estimated maximum power consumption of the RSU.

19 . The at least one non-transitory machine-readable medium of claim 18 , wherein the instructions further cause the processor to:

power off a component of the RSU;

place an additional component of the RSU into a low-power state; and

disable a particular operation of the RSU to progress toward the power consumption reduction target.

20 . The at least one non-transitory machine-readable medium of claim 19 , wherein at least one of the at least one component or the at least one additional component is a sensor coupled to the RSU, and wherein the sensor is a camera, a Light Detection and Ranging (LIDAR) device, or a Radio Detection and Ranging (RADAR) device.

21 . The at least one non-transitory machine-readable medium of claim 19 , wherein powering off of the component of the RSU, the placing of the additional component of the RSU into a low-power state, and the disabling the particular operation is done for a period of time, and wherein the period of time determined by a machine-learning algorithm to progress toward the power consumption reduction target.

22 . The at least one non-transitory machine-readable medium of claim 17 , wherein the instructions further cause the processor to:

form a collaborative group, the collaborative group including the RSU and a second RSU communicatively coupled to the RSU;

determine a power-level demand for the RSU; and

responsive to the power-level demand, transfer the at least one operation to the second RSU.

23 . The at least one non-transitory machine-readable medium of claim 22 , wherein the RSU and the second RSU are configurable to transmit respective status information, the respective status information including a current resource usage and at least one of: an available energy source type, a green-energy availability, an environment perception, a compute capability, a communication demand, or a compute demand, wherein the current resource usage includes information regarding one or more sensors coupled to the RSU and one or more sensors coupled to the second RSU, wherein the information regarding the one or more sensors coupled to the RSU includes information about an energy source type connected to the one or more sensors coupled to the RSU, and wherein the information about the one or more sensors coupled to the second RSU includes information about an energy source type connected to the one or more sensors coupled to the second RSU.

24 . A roadside unit (RSU) comprising:

a processor; and

memory coupled to the processor, the memory configured to store instructions that, when executed by processor, cause the processor to execute operations, the operations comprising:

receiving multiple input factors corresponding to an environmental condition at a location at which the RSU is located and at least one of a power saving preference for the RSU, a green-energy usage preference for the RSU, a type of energy source connected to the RSU, a quality of service (QOS) requirement, or a capability of the RSU, wherein the capability of the RSU includes at least one operation capable of being performed by the RSU; and

transmitting a control packet to the RSU, the control packet including parameters to control a mixture of green energy use by the RSU from a green-energy power source and traditional energy use by the RSU from a traditional energy power source, wherein both of the green energy power source and the traditional power source are active and connected to the RSU, and wherein the parameters include:

a green energy usage target, wherein the green energy usage target is a percentage of an estimated maximum power consumption of the RSU; and

a power consumption reduction target, wherein the power consumption reduction target is a reduction of the estimated maximum power consumption of the RSU.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 4, 2022
From: JHA, SATISH CHANDRA; SIVANESAN, KATHIRAVETPILLAI; SILVA, ANDRADIGE; SEHRA, SUMAN A.; GOMES BALTAR, LEONARDO; ALAM, S M IFTEKHARUL; SHARMA BANJADE, VESH RAJ
To: INTEL CORPORATION
Reel/Frame 059814/0837 →
Continuity (1)
Related Publication 20220224121A1 · Jul 14, 2022
References Cited (10)
US 20080183337A1 · Szabados · 2008 [cited by examiner]
US 20170174090A1 · Lakamp · 2017 [cited by examiner]
US 20170270787A1 · Menard · 2017 [cited by examiner]
US 20220114010A1 · Guim Bernat · 2022 [cited by examiner]
Choi, Sean, et al., “? NIC Interactive Serverless Compute on Programmable SmartNICs”, [Online]. Retrieved from the Internet: <https://arxiv.org/abs/1909.11958>, (Sep. 26, 2019), 15 pages. [cited by applicant]
Kidd, Taylor, “Power Management States P States, C States, and Package C States”, [Online]. Retrieved from the Internet: <https://web.archive.org/web/20201112010810/https://software.intel.com/content/www/us/en/develop/a… [cited by applicant]
Liu, Ming, et al., “E3 energy efficient microservices on SmartNIC accelerated servers”, Proceedings of the 2019 USENIX Conference on Usenix Annual Technical Conference (USENIX ATC '19), (2019), 17 pages. [cited by applicant]
Travers, Matthew, “CPU Power Consumption Experiments and Results Analysis of Intel i7 4820K”, Newcastle University Technical Report Series NCL-EEE-MICRO-TR-2015-197, (Jun. 2015), 42 pages. [cited by applicant]
Wei, Qing, et al., “Energy Minimization for Infrastructure to Vehicle Communications with Multiple Roadside Units”, 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2019.… [cited by applicant]
Zhang, Shan, et al., “Cost Effective Vehicular Network Planning with Cache-Enabled Green Roadside Units”, IEEE ICC 2017 Next Generation Networking and Internet Symposium, (May 21, 2017), 6 pages. [cited by applicant]