Abstract: Provided are a method and an apparatus for adjusting an inner loop value, The method includes: repeatedly executing the following steps, wherein a history inner loop adjustment factor of each time-domain scheduling unit in a radio frame is initialized to be an initial inner loop adjustment factor of each time-domain scheduling unit: determining a block error rate corresponding to each time-domain scheduling unit according to ACK/NACK information corresponding to each time-domain scheduling unit, wherein the radio frame comprises N time-domain scheduling units, N being a positive integer; determining a current inner loop adjustment factor of each time-domain scheduling unit according to the block error rate corresponding to each time-domain scheduling unit and the history inner loop adjustment factor of each time-domain scheduling unit; and adjusting an inner loop value corresponding to each time-domain scheduling unit according to the current inner loop adjustment factor of each time-domain scheduling unit.

Abstract: The present application provides a model training method, a channel adjustment method, an electronic device, and a computer readable storage medium, the model training method includes: collecting historical samples, with the historical samples including first scheduling information and first information corresponding to a historical data transmission, the first information representing a result of cyclic redundancy check, and the first scheduling information including first intermediate variable information in an adaptive modulation and coding process; and performing model training according to the historical samples to obtain a first prediction model, and during the model training, the first scheduling information is used as an input of the first prediction model, the first information is converted into second information corresponding to the historical data transmission to be used as an output of the first prediction model, and the second information represents a probability value of the result of the cycli

Abstract: A three-dimensional (3D) spectrum situation completion method and device based on a generative adversarial network includes performing graying and coloring preprocessing based on incomplete 3D spectrum situations from historical or empirical spectrum data obtained by a UAV through sampling a target region, obtaining three-channel incomplete 3D spectrum situation maps displayed in colors, forming a training set based on the incomplete 3D spectrum situation maps; training the generative adversarial network based on the training set and obtaining a trained generator network in the generative adversarial network, performing graying and coloring preprocessing based on a measured incomplete 3D spectrum situation obtained by the UAV through sampling a specified measurement region, obtaining a three-channel measured incomplete 3D spectrum situation map displayed in colors, and using the measured incomplete 3D spectrum situation map as input data to the generator network to obtain a three-channel measured complete 3D

Abstract: A method for predicting traffic suppression, an electronic device and a storage medium are disclosed. The method may include: determining a traffic value of suppression point according to a preset network traffic model which represents a mapping relationship between a numerical value of a network parameter of a transmission network and a traffic value, wherein the traffic value of suppression point is a traffic threshold of the transmission network under a current running policy; determining a suppression reference value of a target network parameter corresponding to the traffic value of suppression point; and acquiring a parameter prediction value corresponding to the target network parameter, and determining a traffic suppression prediction result according to the parameter prediction value and the suppression reference value.

Abstract: Provided is a channel identification method. The method includes: acquiring channel data of a terminal; constructing a first feature vector based on the channel data, where the first feature vector represents a numerical value set of cross-correlation values, which change along with time intervals, between channel data at different moments and the channel data themselves and between the channel data at different moments and subsequent channel data at different time intervals; and inputting the first feature vector into a predetermined prediction model to predict a speed of the terminal, or to predict a speed type of a cluster to which the terminal belongs. Further provided are an adaptive transmission method and apparatus based on the channel identification method, a transmission device, a base station, and a computer storage medium.

Abstract: According to a surveying and mapping instrument and method for a wide-area spatial channel map through multi-unmanned aerial vehicle (UAV) cooperation, a measurement signal emission unit generates and emits a measurement signal, a measurement signal multi-UAV cooperative receiving unit receives the measurement signal transmitted through a wireless channel, extracts an effective multipath component from the measurement signal, and frames the effective multipath component and corresponding time and location information for storage, and transmits stored channel data to a channel data fusion processing unit offline, and the channel data fusion processing unit fuses the channel data in terms of space, time, and frequency dimensions, and completes missing channel data to construct a complete wide-area spatial channel map.

Abstract: A method for predicting traffic suppression, an electronic device and a storage medium are disclosed. The method may include: determining a traffic value of suppression point according to a preset network traffic model which represents a mapping relationship between a numerical value of a network parameter of a transmission network and a traffic value, wherein the traffic value of suppression point is a traffic threshold of the transmission network under a current running policy; determining a suppression reference value of a target network parameter corresponding to the traffic value of suppression point; and acquiring a parameter prediction value corresponding to the target network parameter, and determining a traffic suppression prediction result according to the parameter prediction value and the suppression reference value.

Abstract: According to a surveying and mapping instrument and method for a wide-area spatial channel map through multi-unmanned aerial vehicle (UAV) cooperation, a measurement signal emission unit generates and emits a measurement signal, a measurement signal multi-UAV cooperative receiving unit receives the measurement signal transmitted through a wireless channel, extracts an effective multipath component from the measurement signal, and frames the effective multipath component and corresponding time and location information for storage, and transmits stored channel data to a channel data fusion processing unit offline, and the channel data fusion processing unit fuses the channel data in terms of space, time, and frequency dimensions, and completes missing channel data to construct a complete wide-area spatial channel map.

Abstract: A heat dissipation system for a high-speed train running in a low-vacuum tube is provided. Component groups that provide power and resistance for the movement and stop of a train are provided at a periphery, close to the train, in a low-vacuum tube. The component group is provided with a group A cooling assembly. The group A cooling assembly includes a group A cooling-type heat exchanger and/or a group A nozzle assembly attached to the back of the component group. Since the friction between the train running at high speed and the air in the low-vacuum tube and the operation of the key equipment in the low-vacuum tube will generate a lot of heat, the group A cooling assembly in the component group in the low-vacuum tube exchanges the heat with the air in the low-vacuum tube.

Abstract: The present application provides a model training method, a channel adjustment method, an electronic device, and a computer readable storage medium, the model training method includes: collecting historical samples, with the historical samples including first scheduling information and first information corresponding to a historical data transmission, the first information representing a result of cyclic redundancy check, and the first scheduling information including first intermediate variable information in an adaptive modulation and coding process; and performing model training according to the historical samples to obtain a first prediction model, and during the model training, the first scheduling information is used as an input of the first prediction model, the first information is converted into second information corresponding to the historical data transmission to be used as an output of the first prediction model, and the second information represents a probability value of the result of the cycli

Abstract: A class D amplifier is provided, including: a first comparator, configured to generate a first comparison result based on a positive end input signal and a triangular wave; a second comparator, configured to generate a second comparison result based on a negative end input signal and the triangular wave; an exclusive OR gate, configured to generate a first control signal based on the first comparison result and the second comparison result; a first AND gate, configured to generate a positive end PMW output based on the first comparison result and the first control signal; and a second AND gate, configured to generate a negative end PMW output based on the second comparison result and the first control signal; and an output stage, configured to generate the positive end output signal and the negative end output signal correspondingly based on the positive end PMW output and the negative end PMW output.

Abstract: An outer loop initial value adjustment method, a device, and a readable storage medium are disclosed. The method may include: acquiring feature information of a plurality of User Equipment (UEs) scheduled by a cell; performing raster division on the feature information of the plurality of UEs to obtain a plurality of rasters; determining an outer loop corresponding to each of the rasters, where an outer loop value of each raster is within a target Block Error Rate (BLER) range; determining a target raster corresponding to a target UE according to the feature information of the target UE, where the target UE is one of the plurality of UEs scheduled by the cell; and determining the outer loop value corresponding to the target raster as an initial outer loop value of the target UE.

Abstract: Provided are a method and an apparatus for adjusting an inner loop value, The method includes: repeatedly executing the following steps, wherein a history inner loop adjustment factor of each time-domain scheduling unit in a radio frame is initialized to be an initial inner loop adjustment factor of each time-domain scheduling unit: determining a block error rate corresponding to each time-domain scheduling unit according to ACK/NACK information corresponding to each time-domain scheduling unit, wherein the radio frame comprises N time-domain scheduling units, N being a positive integer; determining a current inner loop adjustment factor of each time-domain scheduling unit according to the block error rate corresponding to each time-domain scheduling unit and the history inner loop adjustment factor of each time-domain scheduling unit; and adjusting an inner loop value corresponding to each time-domain scheduling unit according to the current inner loop adjustment factor of each time-domain scheduling unit.

Abstract: A three-dimensional (3D) spectrum situation completion method and device based on a generative adversarial network includes performing graying and coloring preprocessing based on incomplete 3D spectrum situations from historical or empirical spectrum data obtained by a UAV through sampling a target region, obtaining three-channel incomplete 3D spectrum situation maps displayed in colors, forming a training set based on the incomplete 3D spectrum situation maps; training the generative adversarial network based on the training set and obtaining a trained generator network in the generative adversarial network, performing graying and coloring preprocessing based on a measured incomplete 3D spectrum situation obtained by the UAV through sampling a specified measurement region, obtaining a three-channel measured incomplete 3D spectrum situation map displayed in colors, and using the measured incomplete 3D spectrum situation map as input data to the generator network to obtain a three-channel measured complete 3D

Abstract: The present application relates to the technical field of communications, and in particular to a method for scheduling spectrum resources and a storage medium. The method for scheduling spectrum resources includes: obtaining a grid according to dividing a cell in a network, each grid corresponding to one resource block or one resource block group; obtaining offline feature data; performing an interference mark on the grid according to the offline feature data, to obtain a mark model; and scheduling spectrum resources according to the mark model.

Abstract: A method and a device for measuring a four-dimensional (4D) radiation pattern of an outdoor antenna based on an unmanned aerial vehicle (UAV) are provided. The device includes a measurement path planning unit, a UAV platform unit, a radiation signal acquisition unit, a data command processing unit, and a ground data processing unit. The measurement path planning unit, the radiation signal acquisition unit, and the data command processing unit each are suspended from the UAV platform unit by using a pod. The present disclosure applies to the radiation pattern measurement of an outdoor antenna.

Abstract: A method and a device for measuring a four-dimensional (4D) radiation pattern of an outdoor antenna based on an unmanned aerial vehicle (UAV) are provided. The device includes a measurement path planning unit, a UAV platform unit, a radiation signal acquisition unit, a data command processing unit, and a ground data processing unit. The measurement path planning unit, the radiation signal acquisition unit, and the data command processing unit each are suspended from the UAV platform unit by using a pod. The present disclosure applies to the radiation pattern measurement of an outdoor antenna.

Abstract: Provided is a channel identification method. The method includes: acquiring channel data of a terminal; constructing a first feature vector based on the channel data, where the first feature vector represents a numerical value set of cross-correlation values, which change along with time intervals, between channel data at different moments and the channel data themselves and between the channel data at different moments and subsequent channel data at different time intervals; and inputting the first feature vector into a predetermined prediction model to predict a speed of the terminal, or to predict a speed type of a cluster to which the terminal belongs. Further provided are an adaptive transmission method and apparatus based on the channel identification method, a transmission device, a base station, and a computer storage medium.

Abstract: A heat dissipation system for a high-speed train running in a low-vacuum tube is provided. Component groups that provide power and resistance for the movement and stop of a train are provided at a periphery, close to the train, in a low-vacuum tube. The component group is provided with a group A cooling assembly. The group A cooling assembly includes a group A cooling-type heat exchanger and/or a group A nozzle assembly attached to the back of the component group. Since the friction between the train running at high speed and the air in the low-vacuum tube and the operation of the key equipment in the low-vacuum tube will generate a lot of heat, the group A cooling assembly in the component group in the low-vacuum tube exchanges the heat with the air in the low-vacuum tube.

Abstract: A graphical policy interface architecture may enable simplified graphical development of customized policy logic for software controllers to control network services, connections, and devices. The policy logic based on graphical policy logic notation may be compiled and installed at run-time into a software controller.