Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

64results about How to "Control transmit power" patented technology

Method for improving performance of cell edge users by using multi-objective genetic algorithm

The invention discloses a method for improving the performance of cell edge users by using a multi-objective genetic algorithm, and relates to the field of communication. The method for improving the performance of the cell edge users by using the multi-objective genetic algorithm can reduce the number of edge users to the greatest extent and greatly improve the service quality and the satisfaction degree of the users. The method comprises the following steps: enabling a base station to judge whether a user is a cell edge user or not according to measurement reports of the user; enabling the base station to determine the geographical positions of the edge users in coverage; enabling the base station to determine the base station which is in the vicinity of a cell edge user set according to the geographical positions of the edge users and the geographical position of the base station; enabling the base station to exchange information with the neighboring base station through X2; and enabling the base station to generate a coverage adjusting strategy through the multi-objective genetic algorithm according to the obtained information, and adjusting the activation and the closing of an RRU (radio remote unit), the transmission power and the declination angle and the azimuth angle of an antenna to change the coverage, thereby ensuring that users in the inter-cell overlapping region are as few as possible.
Owner:XIAMEN UNIV +1

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

Wireless transmitting power prediction control method for reliability demand constraint of intelligent substation

The invention discloses a wireless transmitting power prediction control method for reliability demand constraint of an intelligent substation, and the method comprises the steps: constructing a wireless signal propagation state space equation with state observation through the analysis of the relation among reliability, a signal-to-noise ratio and transmitting power and the utilization of a lossmodel and a Kalman filter of wireless signal propagation; performing expected signal-to-noise ratio compensation by estimating a confidence interval of signal-to-noise ratio fluctuation in real time;finally, defining a quadratic cost function taking the difference between the transmitting power and the actual signal-to-noise ratio and the expected signal-to-noise ratio as a target, and realizingoptimal control of the transmitting power through a dynamic programming algorithm. According to the invention, the problem of coordination between the transmitting power of the wireless sensor networkand the wireless communication reliability in the transformer substation environment can be solved, so that the transmitting power of the node is reduced as much as possible while the wireless communication reliability is ensured.
Owner:HEFEI UNIV OF TECH

Method for improving performance of cell edge users by using multi-objective genetic algorithm

The invention discloses a method for improving the performance of cell edge users by using a multi-objective genetic algorithm, and relates to the field of communication. The method for improving the performance of the cell edge users by using the multi-objective genetic algorithm can reduce the number of edge users to the greatest extent and greatly improve the service quality and the satisfaction degree of the users. The method comprises the following steps: enabling a base station to judge whether a user is a cell edge user or not according to measurement reports of the user; enabling the base station to determine the geographical positions of the edge users in coverage; enabling the base station to determine the base station which is in the vicinity of a cell edge user set according to the geographical positions of the edge users and the geographical position of the base station; enabling the base station to exchange information with the neighboring base station through X2; and enabling the base station to generate a coverage adjusting strategy through the multi-objective genetic algorithm according to the obtained information, and adjusting the activation and the closing of an RRU (radio remote unit), the transmission power and the declination angle and the azimuth angle of an antenna to change the coverage, thereby ensuring that users in the inter-cell overlapping region are as few as possible.
Owner:XIAMEN UNIV +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products