102 results about "Power budget" patented technology

The invention discloses an energy storage operation optimization method and system based on hierarchical multi-agent reinforcement learning. The method comprises the following steps: firstly, initializing a hierarchical multi-agent reinforcement learning decision framework, and defining an interlayer communication synchronization mechanism; then, designing an upper layer reward function for balancing the electric charge income and the battery life loss cost, and optimizing an upper layer planning strategy; a lower layer reward function integrating current smoothness and budget tracking precision is designed, and a lower layer execution strategy is optimized; and finally, deploying the optimized upper-layer planning strategy and the optimized lower-layer execution strategy to an energy storage scheduling task, generating a charging and discharging power budget by an upper-layer planning agent in a day-ahead scheduling stage, and receiving a budget instruction and performing power adjustment by a lower-layer execution agent. According to the invention, by constructing the hierarchical decision-making architecture, coordinated optimization of short-term economic benefit and long-term life protection of the energy storage equipment is realized.

The invention provides a bistatic communication perception integrated beam forming design method based on interference utilization, which belongs to the technical field of base communication, constructs a bistatic communication perception integrated system, and re-derives a Cramer-Rao bound of point target angle estimation under a bistatic model. 16 QAM constructive interference is introduced into communication and perception integrated beam forming design for the first time, the communication and perception integrated beam forming design is modeled into an optimization problem with an optimization variable being a communication signal beam forming matrix, and a target function of the problem is a Cramer-Rao bound of angle estimation of a point target representing perception performance; the constraints include that the power of a base station transmitting signal must be within a power prediction and the communication user receiving signal constraint satisfying 16QAM constructive interference, and the Cramer-Rao bound of the perception performance is reduced as much as possible on the premise that the communication user side satisfies the constructive interference constraint.

This application describes methods and apparatus to allocate uplink (UL) power dynamically across multiple parallel radio frequency links for wireless devices. The wireless device sets an initial maximum transmit power level (MTPL) for each UL radio link of multiple radio links used for UL traffic based on a duty cycle prediction for the respective UL radio link. The wireless device adjusts the initial MTPL for each UL radio link based on a predicted data throughput for the UL radio link relative to a total predicted data throughput for all UL radio links. The adjusted MTPL for each UL radio link can be also reduced when the UL radio link uses UL multiple input multiple output (MIMO) transmission via multiple antenna ports, e.g., by apportioning the adjusted MTPL among the multiple antenna ports of the UL radio link equally.

Systems, methods, and apparatuses disclosed herein can advantageously leverage a power budget to manage heat. These systems, methods, and apparatuses can dynamically distribute the power budget to manage the heat. As part of this dynamic distribution, these systems, methods, and apparatuses can monitor their operation. In some embodiments, when this monitoring indicates that workloads are being created faster than being performed, these systems, methods, and apparatuses can be distributed more of the power budget to optimize the efficiency in performing these workloads. On the other hand, these systems, methods, and apparatuses can be distributed less of the power budget to optimize the efficiency in creating these workloads when this monitoring indicates workloads are being performed faster than being created.

A multi-port power delivery system and a power allocation method thereof are disclosed. The system comprises a first connection port, a second connection port, and a controller which is configured to monitor the average power of each connection port, and decrease the power budget of the first connection port and increase the power budget of the second connection port when the average power of the first connection port falls below a first threshold, and the average power of the second connection port exceeds a second threshold.

The invention relates to dynamic power sharing with power event feedback. Techniques are described for incorporating telemetry related to power source load and frequency of power control events as part of a power balancing algorithm to control electronic device power budget between devices sharing a common power source. The techniques utilize telemetry and control loop algorithms to dynamically balance power between two or more electronic components, which may include CPUs and GPUs. Techniques described herein are used to monitor power source loads and the frequency of a set of predetermined events, which may include performance and / or power control events. Based on this information, the power budget of the device may be dynamically adjusted up or down to maximize performance, which is compared to conventional use of artificial static performance upper limits.

Described herein are devices, systems, methods, and processes for managing power congestion in multi-path routing systems. Indications may be similar to the ECN, and may be used in network headers, including headers for IPV6, SRv6, NSH, or other tunneling protocols. The indications, namely EOPN, PTE, and ECMP-exclude, can provide a mechanism for managing network power consumption and controlling ECMP routing based on flow priority and characteristics. The power budget can be dynamically adjusted based on the current power source mix, which may help to achieve sustainability goals. Hashing optimizations and signaling can be utilized to manage network power congestion and bandwidth-normalized power efficiency availability. A process may be implemented to ensure there is sufficient capacity to serve the expected traffic for different next-hop paths. Additionally, the ECN can be used to quickly react to congestion, bring capacity back online, and maintain optimal network performance, even in the absence of congestion.

The invention discloses a multi-port power delivery system and a power distribution method thereof, the system comprising a first connection port, a second connection port, a controller configured to monitor an average power of each connection port, when the average power of the first connection port is smaller than a first critical value and the average power of the second connection port is larger than a second critical value, the power budget of the first connection port is reduced, and the power budget of the second connection port is increased.

In one embodiment, a method includes receiving a request from a powered device for power to be supplied from power sourcing equipment to the powered device; granting, in response to the request, provisional power to the powered device; receiving, an authentication request from the powered device to authenticate the powered device and reserve power; analyzing user data and device data to determine an authentication status for the powered device; denying power within a power budget for the powered device in response to the analyzing determining that the authentication status for the powered device corresponds to a failed authentication; and using an authenticated-power-profile to determine one or more actions to be performed with respect to the powered device having the failed authentication, in response to a defined number of failed authentications or an expiration of a timeout period defining an amount of time allowed to authenticate the powered device.

Methods, systems, and devices for wireless communications are described. A UE may obtain, via an application program interface (API), an indication of an application type of an application at the UE and information including an indication of performance requirements associated with the application, an indication of a traffic type associated with the application, an indication of whether the performance requirements are being met, an indication of quality of service (QoS) information associated with a packet data unit (PDU) session established for communication by the application, an indication of a network slice associated with the PDU session, an indication of a power consumption of the UE, an indication of whether a power budget of the UE is being met, or any combination thereof. The UE may communicate one or more wireless signals via a subset of multiple antennas of the UE based on the application type or the information.

A method for allocating power of an electronic device, includes generating a power budget indicating an amount of available power for signal transmission and reception. The method also includes determining whether to prioritize communication signals or radar signals for allocating the available power of a battery. In response to a determination to prioritize the communication signals, the method includes allocating a first portion of the available power for the communication signals and a second portion of the of the available power for the radar signals. In response to a determination to prioritize the radar signals, the method includes allocating the first portion of the available power for the radar signals and the second portion of the of the available power for the communication signals. The method further includes transmitting the communication signals and the radar signals based on the allocation.

Telemetry information in the form of platform telemetry, virtualization layer telemetry, and application telemetry can be used to estimate power consumption of a software entity, such as a virtual machine, container, application, or network slice. A controller can take various actions based on software entity power consumption information. If a power limit of an integrated circuit component is exceeded, the controller can reduce the power consumption of a software entity or move the software entity to another integrated circuit component to reduce the power consumption of the integrated circuit component. The controller can determine a total software entity power consumption for software entities associated with a user entity and take actions to keep the total software entity power consumption within a power budget.

In some embodiments, a transmitter may transmit a control signal in such a manner that the control signal may be processed using radio frequency (RF) analog operations at a receiver. The RF analog operation may be preferably selected for receivers with power budget and computational limitations. The control signal may be transmitted on a signal generated according to a plurality of parameters. The receiver may process the signal to identify the plurality of parameters. The receiver may use a mapping of parameters to control information to extract control information embedded in the control signal from the plurality of parameters.

A system and a method are disclosed for power saving and power control in ambient IoT systems. A method performed by an ambient IoT device includes receiving, from a reader, a control indication to trigger a D2R transmission and an indication of a target transmission power; determining if the target transmission power is within a power budget of the ambient IoT device; and in response to determining that the target transmission power is within the power budget of the ambient IoT device, performing the D2R transmission at the target transmission power.

A multi-node server includes a plurality of nodes. Each of the nodes includes a power supply, a transmission circuit, and a control circuit. The power supply is configured to provide a power source. The transmission circuit is configured to transmit the power source and a power status signal to the transmission circuit of the two adjacent nodes, and receive the power source and the power status signal of the two adjacent nodes. The control circuit is configured to control the transmission circuit and the power supply to transmit the power source and the power status signal to the transmission circuit of the two adjacent nodes. The transmission circuit of each of the nodes are connected in series as a ring circuit. The number of the nodes is N, the power of the power supply is Ps, the total power budget of the multi-node server is Pb, and Ps=Pb / (N−1).

In one embodiment, a method includes receiving a request from a powered device for power to be supplied from power sourcing equipment to the powered device; granting, in response to the request, provisional power to the powered device; receiving, an authentication request from the powered device to authenticate the powered device and reserve power; analyzing user data and device data to determine an authentication status for the powered device; denying power within a power budget for the powered device in response to the analyzing determining that the authentication status for the powered device corresponds to a failed authentication; and using an authenticated-power-profile to determine one or more actions to be performed with respect to the powered device having the failed authentication, in response to a defined number of failed authentications or an expiration of a timeout period defining an amount of time allowed to authenticate the powered device.

The present application discloses a beam design method for active reconfigurable smart reflector (active-RIS) assisted dual function radar and communication (DFRC), in which the radar serves a plurality of communication users while perceiving a target, while active RIS is used for communication enhancement. According to the method, on the premise of ensuring certain radar detection power, transmitting waveform with constant modulus and limited power budget, the WSR of a communication user is maximized by jointly designing transmitting beam forming of a radar and reflected beam forming of an active RIS (Radio Information System); and an efficient alternating optimization algorithm based on weighted minimum mean square error and fractional programming is provided to solve the proposed height non-convex optimization problem. A simulation result shows that compared with a passive RIS, the adding of the active RIS effectively improves the weighting sum rate of system communication.

The invention relates to power management based on limited hardware enforced power control. Various techniques and circuit implementations for power reduction management in integrated circuits are disclosed. Specifically, a power manager circuit in an integrated circuit (e.g., a system on chip) may modify a power budget for various components in the integrated circuit to reduce an amount of power control caused by external signaling indicative of a voltage regulator overload (e.g., a voltage drop).

According to one or more embodiments of the disclosure, an example process herein may comprise: identifying a power budget threshold to maintain existing mesh backhaul links in a mesh tree; determining an estimated power budget among potential mesh backhaul links in the mesh tree; performing a channel evaluation of each candidate channel available to establish a backhaul link in the mesh tree; and reconfiguring the mesh tree, in response to a modified power budget for the mesh tree, wherein reconfiguring is based on the estimated power budget and the channel evaluation.

A transmitter may transmit control signals in such a way that the control signals may be processed, at a receiver, using radio frequency (RF) analog operations. For receivers with power budgets and computation constraints, the RF analog operations may be preferred. The control signals may be transmitted on a signal generated according to a plurality of parameters. The receiver may process the signal to identify the plurality of parameters. The receiver may use a mapping of parameters to control information to extract, from the plurality of parameters, control information that has been embedded in the control signals.

A network of access points may be provided. Access points operating in a low power indoor (LPI) mode and access points operating in a standard power (SP or SPI) mode are identified. The access points operating in an SP or SPI mode are sorted by available frequencies and maximum power budget. For each access point in the network, a composite radio frequency (RF) density score is determined, wherein higher density scores correspond to a denser population of access points in the network. If the composite RF density score is above a determined level, the access point that supports frequencies below a threshold level and that have an effective isotropic radiated power (EiRP) above a determined level are determined as a seed candidate. At least one of the seed candidates is determined as a seed access point.

The application discloses a CPU dynamic power distribution method for improving system throughput, comprising the following steps: S1, collecting real-time performance monitoring counter data of each CPU core, obtaining current load characteristic group performance bottleneck risk degree of each core; S2, constructing a load risk prediction model to predict the performance bottleneck risk degree to obtain a risk trend factor, collecting basic power budget data of each CPU core, combining the risk trend factor to obtain an optimal temporary power budget, and outputting a forward-looking power budget bias strategy based on the optimal temporary power budget; S3, performing power consumption modeling based on the power budget bias strategy and a chip constitution factor to construct an optimal V-f mapping table; and S4, based on the optimal V-f mapping, issuing V-f parameters through a CPU power management interface and forming a closed-loop feedback, so that the dynamic power distribution of the CPU is realized.

Power limiting in a processor-based system based on allocating power budgets for different sub-systems based on multiple time-based power limits is disclosed. The processor-based system has multiple power consuming sub-systems (e.g., non-processing unit (PU) and PU sub-systems) that demand and consume power from a power source of the processor-based system. To limit overall power consumption of the processor-based system over different time-based power limits, the processor-based system includes a power limiter circuit. The power limiter circuit is configured to manage multiple, different time-based (e.g., time constant) power limits for the processor-based system and to allocate corresponding power limit budgets to constrain power consumption of different sub-systems based on the multiple time-based power limits. The power limiter circuit can be configured to constrain power consumption of a PU sub-system to a total PU sub-system power limit budget based on the multiple time-based power limits.

Certain aspects of the present disclosure provide techniques and apparatus for multi-connection radio frequency (RF) exposure compliance. An example method of wireless communication includes obtaining a transmit power budget associated with a time interval. The method also includes determining transmit power in a connection-by-connection manner among a plurality of connections based at least in part on the transmit power budget and one or more characteristics associated with the plurality of connections. The method also includes transmitting signals associated with the connections at respective transmit powers within the time interval.

Described herein are devices, systems, methods, and processes for managing power congestion in multi-path routing systems. Indications may be similar to the ECN, and may be used in network headers, including headers for IPv6, SRv6, NSH, or other tunneling protocols. The indications, namely EOPN, PTE, and ECMP-exclude, can provide a mechanism for managing network power consumption and controlling ECMP routing based on flow priority and characteristics. The power budget can be dynamically adjusted based on the current power source mix, which may help to achieve sustainability goals. Hashing optimizations and signaling can be utilized to manage network power congestion and bandwidth-normalized power efficiency availability. A process may be implemented to ensure there is sufficient capacity to serve the expected traffic for different next-hop paths. Additionally, the ECN can be used to quickly react to congestion, bring capacity back online, and maintain optimal network performance, even in the absence of congestion.

The application discloses a dynamic power distribution method of a gallium nitride power adapter and relates to the technical field of intelligent power management, comprising the following steps: interval look-up table is performed on a thermal-electric coupling state record set, the minimum constraint power upper limit is obtained, a change rate limit and a holding window constraint are executed, and an available power budget table is generated; the available power budget table is projected into time slice available energy quotas, a time slice burst request mark and a dynamic quota arrangement are performed in combination with a port capacity demand table, and a time slice energy quota table is generated; the time slice energy quota table is arranged and mapped into a port target voltage and a port target current, and is issued and controlled by ports, sampling and deviation recording are simultaneously executed, and a power distribution execution record set is generated. The application realizes the structured characterization of three types of physical constraints, is used for subsequent parallel look-up table decision, accurately limits the power upper limit, and takes into account safety and efficiency.

The invention discloses a general-inductance integrated waveform power distribution method for the Internet of Vehicles, and belongs to the technical field of Internet of Vehicles and general-inductance integration. Comprising the steps of constructing a communication and sensing integrated system architecture based on the Internet of Vehicles, designing a power distribution scheme based on a communication data rate index and a sensing Cramer-Rao bound, designing a constraint algorithm of multi-objective optimization, solving a communication and sensing performance boundary to obtain an optimal distribution strategy and the like. Aiming at the advantage that a delay-Doppler domain modulation technology has high robustness in a high-speed vehicle network scene, the invention provides an Internet of Vehicles communication and inductance integrated waveform power distribution method under limited power budget, and meanwhile, the communication downlink sum rate and speed sensing Cramer-Rao bound performance is improved; and an efficient and reliable sensing means is provided for intelligent traffic cooperative control.

A system to provide dynamic equalization for power management. In some embodiments, the system comprises a powered communication port configured to receive audio data and line power, and one or more amplifiers configured to drive one or more speakers. The one or more amplifiers have a peak power consumption that exceeds the maximum power of the line power. The system also comprises power supply circuitry, including at least one capacitor, and an equalizer. The equalizer is configured to generate equalized audio data by: performing a first attenuation on a spectral region of the audio data based on an estimated power budget; applying a temporary second attenuation (e.g., a volume reduction) based on the capacitor voltage; applying a first gain to reverse a portion of the volume reduction over a first time period; and applying a second gain to reverse a remainder of the volume reduction over a second time period.

The invention discloses a power budget distribution method and device, and belongs to the technical field of power supplies, and the method comprises the steps: taking historical power consumption data as a basis, carrying out the learning of the historical power consumption data through employing a deep learning algorithm, achieving the short-term power consumption prediction, and combining the importance of equipment, dynamically adjusting the power distribution of each piece of equipment, the power supply use budgets of different devices are reasonably distributed, so that the overall power supply use is more efficient, and power supply waste caused by excessive power utilization of individual devices is avoided.

Systems and methods are disclosed for allocating and distributing power management budgets for subsystems of a computer system. For each of a plurality of subsystems, a power management system may generate a long-term power budget and a closed-loop power budget, and then determine a final power budget to provide to the subsystem, e.g., by applying a min function, a weighted sum, or some other function to the long-term power budget and the closed-loop power budget. The closed-loop power budget is determined based on observations of power draw over a past period of time, and therefore cannot respond immediately to large changes in power. The long-term power budget is generated based on a prediction of battery capability over an upcoming window of time, and may therefore provide a power cap before the system is under duress.