174 results about "Power control algorithm" patented technology

A method of detecting DTX frames in frames received over a communication channel and a power control method are described, where radio link protocol (RLP) information received over the channel may be received, and one or more frames associated with the RLP information may be determined as an erasure or a DTX frame, based on the RLP information. Such determination may be incorporated into outer loop power control algorithms for adjusting a threshold related to a specified quality of service.

A method of controlling transmission power in a mobile radio system in which a power control algorithm controls transmission power as a function of a transmission quality target value, wherein: a target value variation is applied to compensate the effects of a compressed transmission mode in which transmission is interrupted during transmission gaps and the bit rate is increased correspondingly to compensate the transmission gaps, said target value variation includes a first component for compensating the effects of said increase in bit rate and a second component for compensating other effects of transmission gaps, a corresponding anticipated variation of the transmission power is applied, and said anticipated variation of the transmission power corresponds to an approximate value of said target value variation obtained by a process of approximation from said second component.

A rate and power control algorithm for a communication system, the algorithm including the steps of: assigning a target channel condition metric to be met at a first terminal for signaling received from each of one or more remote terminals of the system, each terminal supporting a plurality of rates and a plurality of transmit power levels, each target channel condition metric based upon the type of service supported by each remote terminal; receiving a signal at the first terminal from each remote terminal; and adjusting a respective target channel condition metric assigned for a respective remote terminal in response to signal information generated from the received signal. In variations, the algorithm is performed in a distributed manner by different cells of a communication system and at least two of the remote terminals support traffic of different types of service.

The invention discloses a control method of an alternating voltage sensorless high voltage direct current transmission converter, belonging to the technical field of electrical equipment and comprising the following steps: establishing a stator resistor and an inductor for a virtual motor; building relative position relationships among a current vector, a voltage vector and a flux linkage vector, and analyzing a vectorgram; establishing a converter and flux linkage mathematic model, and calculating a virtual flux linkage vector of a system to obtain a power feedback quantity of the system; acquiring an active control signal and a reactive control signal of the system through a direct power control algorithm, and generating a PWM trigger converter for respectively and independently controlling the active power and reactive power of the system; and utilizing MATLAB simulation software to set up a system model for verifying, and obtaining a systematic selection device when the verification is successful. By utilizing Matlab / Simulink to set up a corresponding simulation model, the designed method is verified to have rapid response speed, the voltage and power after startup can still reach stable values after about 2 power frequency periods and have high steady state precision.

The present invention provides a cross-layer design framework for the multiple access and routing problems in interference-limited wireless ad-hoc networks. It identified interference as an essential factor that couples multiple access and routing decisions through the trade-off between MAC throughput and path length. It formulates an optimization problem that maximizes the multiple access throughputs subject to constraints on the path length, single-to-interference-and-noise-ratio, and transmission power. It incorporates interference into the routing metric and reduces problem complexity via the set-based routing concept that solves the problem for a set of spatially close source nodes. Accordingly, the present invention introduces a joint routing, scheduling and power control algorithm that handles intra-set interference. In addition, it adopted a simple set coordination scheme for handling inter-set interference.

The invention relates to a power control optimization algorithm in a cognitive radio network, which belongs to the field of system resource allocation. The algorithm comprises the following steps: 1, initializing the iteration number of the algorithm, the positions and speed of particles and the basic parameters of the particle swarm; 2, calculating a fitness function value, setting the position Xa of an individual particle as the initial best position, and setting the particle with the best function value in the swarm as the initial best swarm position Gbestk; 3, searching based on a PSO algorithm, updating the best positions of the particles and the swarm and updating the speed and positions of the particles by using a fundamental formula of the particle swarm; and 4, setting a termination standard. The invention conducts study on the non-convex optimization problem controlled by the cognitive radio power and puts forward an improved particle swarm-based power control algorithm which allows utility functions such as an S-type function a convex function and the like to be non-concave, thereby conforming to the actual network better. Parameter adjustment is performed by the particle swarm algorithm to guarantee the global astringency of the algorithm. The algorithm of the invention has better validity and rapidity.

The invention discloses a full wind speed power control method for fixed propeller pitch variable speed wind power generator set, belonging to control method in technical field of wind power generation and realizing aim of controlling fixed propeller pitch variable speed wind power generator set to operate safely and efficiently at different wind speeds. The control method consists of three parts: (1) rotating speed adjustment link; (2) maximum power tracking link; and (3) maximum power limiting link. The rotating speed adjustment link comprises a rotating speed adjuster P1D1; the maximum power tracking and controlling link comprises rotating speed feedback optimal power control algorithm and an adjuster P1D2; and the maximum power limiting link comprises a pneumatic power observer and an adjuster P1D3. By using the control method in the invention, maximum power tracking under the wind speed corresponding to rating rotating speed of the set, constant rotating speed operation over the wind speed corresponding to the rating rotating speed and under the rating wind speed, constant power operation over the rating rotating speed, and soft switching among the three working conditions can be conveniently realized. The invention has certain application prospect in fixed propeller pitch variable speed wind power generator set in China.

The invention relates to a method for controlling output power of a radio transmitter, the radio transmitter operating on a radio channel. The method includes determining requested output power level, and deriving output power, which is to be used, on the basis of a power control algorithm having at least a first and a second power control area, maximum output power of the first area being derived at least on the basis of theoretical minimum attenuation to adjacent receivers, and maximum output power of the second area being derived at least on the basis of actual minimum attenuation to adjacent receivers, wherein an adjacent receiver is a receiver operating on an adjacent channel with respect to the operating channel of said radio transmitter.

A method of adjusting a power level of communications over a channel in a wireless communications network. In the method, a determination (e.g., by a radio network controller (RNC)) is made regarding a number of base stations actively communicating with a mobile station. For example, the determination may indicate whether the mobile station is engaged in soft handoff or simplex mode. One of a plurality of power control algorithms (e.g., a fixed offset power control algorithm, a channel quality indicator (CQI) power control algorithm, etc.) is selected based on the determination. A power level of communications over the channel (e.g., a downlink communications channel to the mobile station) is then adjusted in accordance with the selected power control algorithm.

A power control method includes: receiving a plurality of power use request information associated with a plurality of electrical devices, calculating a power consumption of the plurality of the electrical devices and an average value of the power consumption in a predetermined time period, based on the plurality of the power use request information, comparing the average value and the calculated power consumption in the predetermined time period to determine at least one scheduling interval in which the calculated power consumption is greater than the average value, and performing a scheduling in which a maximum power use time of at least one electrical device included in the at least one determined scheduling interval is moved to another interval The power use request information may be one from among time information and power consumption information corresponding to the operation of each of the plurality of the electrical devices.

The invention provides a deep residual error network named as UcnNet, and a weighted minimum mean square error (WMMSE) algorithm of a real number domain under a network (UCN) taking a user as a centeris fitted. Specifically, in order to effectively manage the coupling interference in the UCN, deriving and using a WMMSE-based real number domain power control algorithm under multi-cell cooperationfor generating a training label close to the optimal total capacity of the system; and then inputting a multistage residual structure, training a network of a batch normalization layer, giving input channel information by outputting an activation function meeting power constraints, and predicting the transmitting power of each base station. After UcnNet training is completed, under the condition that global channel information is input, output similar to WMMSE can be generated through few calculations. An experiment simulation result shows that the high fitting capability of UcnNet is shown, the fitting efficiency can reach 97.68%, and meanwhile, the efficiency is improved by more than 100 times than that of a WMMSE iterative algorithm.

An uplink power control system for terminals in a satellite communication system provides closed loop power control using feedback signals generated at a satellite. The satellite performs inter-beam routing of uplink signals from satellite terminals, and processing of uplink signals to generate terminal transmission-specific feedback information that is transmitted in downlink signals to the terminals. The satellite also generates a beacon signal. An uplink power control algorithm at each terminal uses the beacon signal and feedback data to adjust transmit power.

According to the proposed method, the frequency of power control commands transmitted on a power control channel is changed according to the traffic. When the traffic becomes slower in at least one direction due to a DTX state, a slower transfer rate, asymmetric data transfer or for any other reason, the frequency of power control commands is lowered. Both the base station and the personal station may lower the frequency of the commands which they send. An alternative to changing the frequency of power control commands is to change the energy of power control bits. The duration of power control bits must hereby be extended, if a standard bit error ratio is desired. If the system is frequency-divided and / or time-divided and uses frequency control command of several bits, the length of the command word may be shortened in addition to or as an alternative to the change in frequency. The power control algorithm may be changed several times during a traffic connection.

The invention discloses a robust resource allocation algorithm of a cognitive heterogeneous wireless network and belongs to the technical field of communication cognitive heterogeneous wireless networks. The robust resource allocation algorithm is characterized by considering a robust resource allocation algorithm in a cognitive heterogeneous multi-network environment influenced by channel parameter perturbation, considering cross-layer interference constraint and bounded channel uncertainty and interference power uncertainty in an objective function, converting the original infinite dimensional multivariate optimization problem into the convex optimization problem of certainty by using a robust optimization theory, obtaining a robust power control algorithm by using a lagrangian duality method, and achieving sharing of the robust resource of the cognitive heterogeneous wireless network. Simulation results show that the algorithm can effectively protect the performance of users of a macro-cellular network and has stronger robustness.

The invention provides one integral wireless multi-jump interface network power control method, which comprises the following steps: according to business speed rate processing initial emission power and according to network topological information processing emission initiating; then on the base adjusting each distribution power control in each frame fully considering each factor of SIR measurement or transmission error; processing statistics for transmission power as next frame power adjusting base.

A method for efficient power control in a (CDMA based) fixed wireless system. The method comprises the steps of (1) monitoring a transmission link of the fixed wireless system for an occurrence of a fade, (2) recording a number of power increases to the transmission link due to said fade, and (3) reducing the power to an appropriate level when said fade is over. The adjusting step includes the steps of determining an appropriate power-down step size, which results in saving power, wherein the step size is influenced by a frame error rate (FER) and selected to maintain a desired FER, and dynamically decreasing the power by the appropriate power-down step size, thereby conserving power and increasing system capacity.

The invention provides a time division long term evolution (TD-LTE) system uplink power control method based on insulation degree. The TD-LTE system uplink power control method is suitable for a scene where a TD-LTE system and a television system coexist, and includes the steps of setting an initial adjacent channel interference ratio (ACIR), and enabling each TD-LTE time division long term evolution user equipment (TD-LTE UE) to set a target signal noise ratio according to the insulation degree of each TD-LTE UE, determining the proportion of path loss and the ACIR through parameter proportion parameters on the premise that the interference of the TD-LTE UE to a television receiver is lower than a threshold, aiming at maximizing data rate sum of the TD-LTE UE and the television receiver to build a power control optimized model using the proportion parameters as optimized function is structured, and solving the power control optimized model and calculating the interference of the TD-LTE UE to the television receiver; and if the interference of the TD-LTE UE to the television receiver is smaller than the threshold, the power control algorithm can be completed, or the ACIR can be adjusted to repeat the steps. The power control method ensures that the the interference of the TD-LTE UE to the television receiver is within an acceptable range, ensures normal work of the television system, and at the same time, improves spectrum effectiveness of the TD-LTE system and the television system.

The invention discloses an uplink self-adaptive closed loop power control method, which is applied to a satellite communication system. The interference with a satellite signal link from the factors, such as environment is eliminated by a binary search increasing-based power control algorithm. A ground control center is introduced into the satellite communication system for analyzing the error rate of a signal; and the power amplification factor at the next moment is calculated by adopting the binary search increasing-based power control algorithm, and various interferences, such as surrounding and the like, are quickly and accurately sensed, so interference is eliminated by self-adaptive power control. The satellite communication system at least comprises a geostationary satellite, an earth station, and the ground control center; a signal carrier is transmitted between the earth station and a satellite; and the ground control center manages a plurality of adjacent earth stations and sends power control commands to the plurality of adjacent earth stations to eliminate the interference with the satellite signal link from the factors, such as environment and the like.

The invention relates to a femtocell power control method based on interference limitation and aims at achieving the purpose of improving the performance of a femtocell subscriber and limiting the interference on a macro subscriber by adjusting emission power of a femtocell through a power control algorithm based on a game model in an OFDMA (orthogonal frequency division multiple access) femtocell system. The requirements of interference limitation on the macro subscriber are introduced in the given utility function, wherein the Lagrange parameters are updated according to the sub-gradient method. Such utility function reflects both the performance of the femtocell subscriber and the threshold requirement of the interference on the macro subscriber. According to the power control method based on the utility function, the limitation requirement of the interference on the macro subscriber is also met while the throughput of the femtocell subscriber is effectively increased.

A telecommunications system for improving quality of service (QoS) to users via the implementation of an extended outer loop power control algorithm. A radio resource manager (RRM) operates to determine the number of channels allotted to users within a network at a certain time. The RRM implements the extended outer loop power control algorithm for each allotted channel, thus determining SIR reference values for each allotted channel. the RRM ensures that the SIR reference value for any channel does not fall bellow a predetermined minimum value. The SIR reference value to be used for all channels in use is determined as the highest of all the calculated SIR reference values. The extended outer loop power control algorithm can be implemented at a mobile station level, base station level or radio network controller level.

The invention discloses a wireless charging system for an underwater robot and a control method of the wireless charging system. The wireless charging system for the underwater robot comprises a transmitting terminal system and a receiving terminal system, which are in coupled connection; the transmitting terminal system comprises a power supply system, an alternating-current conversion system and a resonance circuit of the transmitting terminal, which are sequentially connected with one another; the receiving terminal system comprises a receiving terminal resonance circuit, a receiving terminal direct-current conversion circuit and a receiving terminal load matching circuit; and the energy control method comprises a robot charge control algorithm and a charge power control algorithm. Wireless charging is carried out on the underwater robot by an electromagnetic induction principle; meanwhile, the energy control method is designed; control on charging of the underwater robot is achieved; and control on constant-power charging and full filling interruption under the condition of low electric charge is achieved.

The invention discloses a cognitive ratio power control method. The method improves a revenue function on the basis of a non-cooperative game power control algorithm proposed by D.Goodman, and provides a new power control algorithm based on non-cooperative game; and simultaneously, for improving the searching precision of the power control algorithm, the invention further provides an improved shuffled frog leaping algorithm. The cognitive radio power control method of the invention has higher calculation accuracy, implements effective control on transmitting power of users, and can improve system performance obviously.

The invention provides a robustness gaming power control method under imperfect CSI for a multi-user OFDMA relay system. The robustness gaming power control method converts a power control problem of a user into a noncooperative gaming problem. In consideration of the channel estimation error condition and on the premise of satisfying the power transmission constraint for users and the interruption probability constraint, the users compete with each other by controlling the emission power so as to maximize the self capacity. Based on a worst-case robustness resource distribution strategy, the algorithm takes the influence of the robustness gaming power control research channel estimation error of the worst channel estimation error on the network performance into account, and then establishes a corresponding network capacity maximization model. The existence and the uniqueness of nash equilibrium of robustness gaming is analyzed and proved, and a distributed robustness power control algorithm is further proposed to improve the network capacity. The simulation result shows that the robustness power control algorithm enables the users to get better performance and can effectively reduce occurrence of interrupt events in the system and belongs to an effective algorithm.

The invention relates to a wireless communication anti-eavesdrop interference power control algorithm based on Q learning. The wireless communication anti-eavesdrop interference power control algorithm comprises steps that S1. transmission power Ps, safety evaluation coefficient Rho, interference power xi, and levels of working time ts are initialized, and working time ts of an edge server is equally divided into k parts, and each part is used as a time slot t<(k)><s>; S2. the related quantity of the working state of the kth time slot t<(k)><s> is calculated; S3. a friendly jammer adopts a Q learning algorithm for learning, and a decision is made in every time slot t<(k)><s> according to a system state S(k), and then a corresponding motion xi(k) is selected; S4. after the Q learning training of the edge server is completed, the friendly jammer is used to schedule the motion X<k> to transmit a friendly interference signal according to an equation V(S<k+1>,X<k>)corresponding to thecurrent state S(k). The jammer is trained by the Q learning algorithm, and then the jammer continues trying to transmit interference power according to information transmission power of legitimate transmitters until the optimal interference power is finally acquired, and therefore maximization of information security and minimization of network energy loss are realized, and ideal effect of network energy utilization rate is improved.

The present invention pertains to power control in cellular networks (1). A power control algorithm (201) is operated to control transmission powers on radio links (downlinks and / or uplinks). An information collector (203; 127) is adapted to collect power distribution information indicating how the transmission powers of a selected plurality of radio links are distributed in a dynamic power range extending from a minimum power level Pmin to a maximum power level Pmax. A feedback generator (205; 129) is adapted to generate feedback for modifying the operation of the power control algorithm (201) based on the power distribution information. The feedback makes the operation of the power control algorithm (201) less sensitive to initial settings of operational parameters and varying conditions in the radio environment. The burden on the operator to select optimal settings for operational parameters is therefore lowered. The invention can be achieved using conventional measurement reports from user terminals.

Devices and methods are disclosed for reducing power control cushion of a user terminal configured to communicate with a satellite and a gateway station. The present invention provides a power control algorithm implemented in a user terminal that is designed to operate in a satellite communication system. The power control algorithm can recursively calculate a returnlink power to reduce a power control cushion so that an extra link margin is available to the satellite communication system. The present invention also provides a source coding technique that provides an accurate feedback signal for the user terminal. The average metric of input signal frames is coded in a sequence of bits that are carried by contiguous output signal frames.

The invention provides a method and device for resisting interference in a wireless local area network. The method comprises the following steps that all APs are periodically polled, and the channel quality evaluation sheet of the current work channel of the currently-processed AP is acquired; whether the current work channel of the currently-processed AP reaches standards or not is judged according to the channel quality evaluation sheet; under the condition that the current work channel of the currently-processed AP does not reach the standards, whether the number of times of being substandard reaches a preset trigger threshold or not is judged; if the number of the times of being substandard reaches the preset trigger threshold, the automatic channel allocation algorithm of the currently-processed AP is triggered, and the work channel of the currently-processed AP is adjusted; if the number of the times of being substandard does not reach the preset trigger threshold, an interference source interfering the currently-processed AP is searched for, the power control algorithm of the interference source is triggered, and the power of the interference source is adjusted. According to the method and device, interference in the current wireless local area network is reduced, the overall performance of the wireless local area network is improved, the method and device can be applied to existing 802.11a / b / g / n and evolution versions following the 802.11a / b / g / n, and whole-network interference processing is achieved in a co-ordination mode.

The invention relates to a D2D (Device to Device) communication joint mode selection and proportional fairness resource scheduling optimization method. The invention aims to solve problems that most of the current literature is limited to the research for a single optimization problem of D2D communication mode selection or resource scheduling, and that the related research focuses on taking the maximum throughput as a resource scheduling objective and ignores the fairness between subscribers. The specific process comprises the steps of firstly calculating the channel gain; secondly, respectively calculating the signal to interference plus noise ratio, the instantaneous data rate, a proportional fairness function and the average transmission rate of each D2D subscriber and each cellular subscriber in a t-th time slot under a dedicated mode and a multiplexing mode; thirdly, acquiring a mathematical model for joint mode selection and proportional fairness scheduling; fourthly, solving an optimal control matrix p* by using an optical power control algorithm; and fifthly, performing D2D subscriber communication mode selection and resource scheduling under the multiplexing mode according to the optimal control matrix p*. The D2D communication joint mode selection and proportional fairness scheduling optimization method is applied to the field of D2D communication interference suppression.

The invention discloses a wireless sensor network rolling horizon signal-to-noise ratio estimation method with packet loss. The method comprises the following steps of: 1) obtaining a state space model of a wireless sensor network by use of a signal-to-noise ratio formula, a power control algorithm and a flow rate control algorithm; 2) modeling the packet loss into a random process of Bernoulli distribution according to the characteristics of packet loss to obtain a wireless sensor network model with packet loss; 3) transforming the rolling horizon signal-to-noise ratio estimation problem into an equivalent minimization problem according to the set rolling horizon window length N and the weight matrixes Pi, Q and R; and 4) solving the minimization problem based on a first-order optimization principle and a random method to obtain a wireless sensor network rolling horizon signal-to-noise ratio estimator, and obtaining the optimal estimated value and the predicted value of the next moment of the signal-to-noise ratio by the estimator. The method disclosed by the invention has a reasonable model and has functions of compensating packet loss and performing online calculation.