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32results about How to "Guarantee service quality" patented technology

Power allocation method and device in multiple input multiple output open loop region

The invention discloses a power allocation method and a power allocation device in a multiple input multiple output open loop region. The method comprises that: when the available subcarriers of a base station are mapped to F frequency subregions, and a multiple input multiple output (MIMO) open loop region is set in the ith frequency subregion, then the data subcarrier power p2 of the MIMO open loop region in the ith frequency subregion is in accordance with the following condition: Pout is less than or equal to Pmax; wherein detaFi is power difference between a frequency subregion Fi and a frequency subregion F0, i is more than or equal to 0 and less than or equal to F, and the F is more than or equal to 1, the Pmax is the maximum value of the total transmission power of each orthogonal frequency division multiplexing (OFDM) symbol, the Pout is the total actual transmission power of each OFDM symbol; Nused is available subcarrier quantity in each OFDM symbol; and deta1p and deta2p are power constraint values, and are more than or equal to zero. The invention also provides a power allocation device in the multiple input multiple output open loop region. By the method and the device, the interference of the whole network can be reduced to a certain level so that the service quality of cell-edge users and the frequency spectrum efficiency of the whole network are ensured.
Owner:ZTE CORP

System capacity prediction method based on service volume

The invention discloses a system capacity prediction method based on service volume. The method is characterized by comprising the following steps; collecting original data of at least one month or more; first rejecting seasonal factor effects, selecting a model group based on a linear model, a moving average model and an ARIMA model; calculating a weight index of each model by utilizing a multiple regression model; and then introducing genetic algorithm machine learning to iteratively optimize the model group to obtain optimal model group parameters, calculating a daily dimension prediction result and a minute dimension prediction result, and calculating a system capacity demand based on the prediction results of the two dimensions by utilizing a fitting relationship between the service and historical data of the system capacity. By applying the prediction method provided by the invention, the influence of external factors on prediction is comprehensively considered, the parameters are automatically optimized through model group prediction and introduction of a genetic algorithm, not only can the change of a transaction structure and a service volume trend be flexibly coped with,but also the prediction result is improved, so that the average error is less than 5%, and the service quality of Internet application is favorably guaranteed.
Owner:江苏博云科技股份有限公司

Method for switching master mode and slave mode of encryption card and encryption card

The invention provides a method for switching a master mode and a slave mode of an encryption card and the encryption card. The encryption card comprises a power module, a detection module and a mode switching module, wherein the power module detects the power supply situation of a peripheral component interconnect (PCI) or a PCI express (PCIE) interface, and automatically supplies power to the encryption card if the PCI or the PCIE interface cannot be supplied with power; the detection module detects whether a host fails or not, and if the host fails, transmits a mode switching request to the mode switching module; after receiving the mode switching request from the detection module, the mode switching module switches the operating mode of the encryption card from the slave mode to the master mode; and the encryption card independently works in the master mode and continues providing a service for application. Under the condition of normal working of the host, the encryption card exchanges data with the external application through the host, and the host and the encryption card perform own functions, namely, the host functions in the reception and transmission of the data and the like and the encryption card only functions in encryption so as to ensure relatively higher working efficiency; and when the host fails, the encryption card can dynamically switch own operating mode from the slave mode to the master mode and work independently to continue providing the service for the application and ensure the quality of service when the host fails.
Owner:DAWNING CLOUD COMPUTING TECH CO LTD

Base station selection and task unloading method and device for mobile edge calculation system, equipment and medium

The invention discloses a base station selection and task unloading method and device for a mobile edge calculation system, equipment and a medium. The method comprises the following steps: building a calculation model of switching time delay, communication time delay and queuing time delay of the mobile edge calculation system in any time slot based on two decision variables, namely service placement and base station selection; minimizing non-switching time delay to obtain service placement and base station selection decisions at an initial moment; according to the decision of the previous time slot, the switching time delay and the non-switching time delay of the current time slot are calculated, and whether the current time slot migrates the service or not is determined based on the principle of tolerating more non-switching time delays; if the service is not migrated, the decision of the current time slot is kept to be the same as that of the previous time slot; if the service is migrated, minimizing the non-switching time delay of the current time slot, and obtaining the service placement and base station selection decision of the current time slot; and iteratively calculating service placement and base station selection decisions of all time slots. According to the method, low-delay processing and user service quality are guaranteed, and the randomness of user movement is met.
Owner:HUNAN UNIV

Internet data center demand response optimization method based on multi-objective evolutionary algorithm

The invention discloses an internet data center demand response optimization method based on a multi-objective evolutionary algorithm, and the method comprises the following steps: collecting the maximum value and the maximum workload capacity of each data center server, and collecting the total workload of front and rear end web portals; establishing an internet data center demand response model by taking data center profit maximization and customer service quality optimization as targets, and proposing a decision variable reduction method; providing a population-based method to find a finite solution set, namely a Pareto optimal solution. In the iteration process, the Pareto optimum is used for improving the quality of the solution. According to the algorithm, the convergence and diversity of the algorithm are ensured through operations such as variation, crossover, hybrid crossover, selection, archive updating and the like. According to the Internet data center demand response optimization method based on the multi-objective evolutionary algorithm, the feasibility of physical constraints and the expandability of the number of decision variables are effectively solved through the multi-objective evolutionary algorithm, and the internet data center demand response optimization method realizes good balance between data center profit and customer service quality.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +3
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