WO2022033347A1 - Procédé, dispositif et appareil d'émission de signaux - Google Patents

Procédé, dispositif et appareil d'émission de signaux Download PDF

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Publication number
WO2022033347A1
WO2022033347A1 PCT/CN2021/110072 CN2021110072W WO2022033347A1 WO 2022033347 A1 WO2022033347 A1 WO 2022033347A1 CN 2021110072 W CN2021110072 W CN 2021110072W WO 2022033347 A1 WO2022033347 A1 WO 2022033347A1
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Prior art keywords
detection
perception
terminal
base station
cell environment
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PCT/CN2021/110072
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English (en)
Chinese (zh)
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龚秋莎
苏昕
常国兵
王蒙军
毕海
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大唐移动通信设备有限公司
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Publication of WO2022033347A1 publication Critical patent/WO2022033347A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
    • H04L1/0003—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate by switching between different modulation schemes
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0009—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the channel coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/12—Wireless traffic scheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00—Aspects of pattern recognition specially adapted for signal processing

Definitions

  • the present application relates to the field of communication technologies, and in particular, to a signal transmission method, device, and device.
  • the current New Radio (5G NR) system supports communication in the millimeter wave frequency band, and base stations/terminals often need to use beamforming technology to form narrow beams, which are concentrated in a smaller space area, so that the energy on the radio frequency transmission link can be reduced.
  • the efficiency is higher and the transmission power loss of the base station/terminal is reduced; while the International Mobile Telecom System (IMT)-2030 system will support communication in the terahertz frequency band (0.1-10THz), and the base station/terminal will use higher gain Antennas, as well as integrating a higher number of antennas and using beamforming technology to form "pencil-like" ultra-narrow beams to overcome the high path loss in the terahertz band to improve cell coverage.
  • IMT International Mobile Telecom System
  • the direction of arrival (DOA) estimation technique is used to obtain the beam direction required by the beamformer. Assuming that the observation point is far away from the antenna element, it can be considered that the angles at which the two waves reach the observation point are the same, and the phase difference between the two waves will change with the change of the observation angle. Using the reciprocity of the channel, the DOA is estimated from the upstream signal and used to calculate the downstream beamforming vector.
  • the optimal beam direction is determined by beam scanning.
  • the base station sends a set of reference signals, and these reference signals correspond to a set of downlink beams.
  • the user measures the wireless signals emitted by different beams and reports the relevant information to the base station.
  • the optimal transmit beam while the user adopts the corresponding receive beam.
  • users can employ downlink beam pairs for uplink transmission.
  • the uplink beam scanning process is similar to the downlink, and the network configures Sounding Reference Signal (SRS) to complete the corresponding process.
  • SRS Sounding Reference Signal
  • the channel is not ideal, the effect of phase error on the angle estimation performance cannot be ignored when using DOA estimation; similarly, the accuracy of CSI estimation will also affect the effect of precoding shaping.
  • the higher the operating frequency band of the system the narrower shaped beam will be used to ensure the coverage of the cell. In this case, the traversal beam scanning strategy brings high time complexity.
  • the present application provides a signal transmission method, device and device to solve the problem that when using DOA estimation in fast beam tracking of narrow beams in a mobile scenario, the phase error will affect the angle estimation performance; the accuracy of CSI estimation will affect the prediction performance.
  • the present application provides a signal transmission method, the method comprising:
  • MCS Modulation and Coding Scheme
  • the beam is used for beamforming/scheduling information for scheduling/MCS for modulation and then signal transmission.
  • using the beam for beamforming/scheduling information for scheduling/MCS for modulation and then performing signal transmission includes at least one of the following steps:
  • the angle of the current beam is adjusted upward and/or downward, respectively, the set angle;
  • Beam scanning is performed within the beam scanning range, and the current beam is adjusted according to the scanning result.
  • the beam scanning range is to adopt the direction of the current beam, and the angle of the current beam is adjusted upward and/or downward for the beam corresponding to the set angle, respectively. Scope.
  • predicting the predicted value of the position at the next moment according to the measured value including:
  • the predicted value of the position at the next moment is predicted according to the measured value through a prediction function, the prediction function is used to estimate the average acceleration according to the measured value, and calculate the predicted value of the position at the next moment according to the current speed and the average acceleration.
  • the relevant parameters of the prediction function are initialized by the machine learning method
  • adjusting the relevant parameters of the prediction function including at least one of the following steps:
  • the value of ⁇ t at two adjacent moments is decreased, and when it is determined that the terminal is in a scenario where the moving speed is lower than the set speed low threshold, the value of two adjacent ones is increased.
  • the value of ⁇ t of the acceleration at time is decreased.
  • the three-dimensional cell environment is a three-dimensional model constructed by adopting any of the following steps based on a detection and perception method:
  • the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals;
  • the base station collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the server collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the base station/server collects environmental data through detection and perception signals, constructs an initial three-dimensional cell environment based on the environmental data, and the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server based on the environmental data reported by different terminals , and improve the initial 3D environment data.
  • the terminal/base station/server collects environmental data through detection and perception technology, including:
  • the terminal/base station/server uses active detection and perception signals and/or passive detection and perception signals to detect objects through detection and perception technology, and determines the outline, material and orientation data of objects in the cell according to the detection results.
  • the active detection and perception signal includes any one or more of laser detection and perception signals, millimeter wave sensor detection and perception signals, and terahertz wave sensor detection and perception signals;
  • the passive detection perception signal includes a visual detection perception signal for collecting cell images.
  • determining the measurement values of the terminal at the current moment and the previous moment in the three-dimensional cell environment including:
  • Collect the cell images at the current moment and the previous moment through visual detection and perception signals, perform image recognition on the cell images, and determine the current moment and previous moments of the terminal in the three-dimensional cell environment according to the identified location of the terminal in the cell image. a measurement of the location; or
  • Identify the terminal by using the terahertz wave sensing detection and sensing signal, and use the terahertz/millimeter wave sensing detection and sensing signal to determine the measurement value of the terminal at the current moment and the previous moment position in the three-dimensional cell environment;
  • the beam to be used is determined according to the predicted value of the three-dimensional cell environment and location, including:
  • the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity.
  • the method is applied to the terminal for uplink signal transmission, or applied to the base station for downlink signal transmission.
  • the present application provides a signal transmission device, including a memory and a processor, wherein:
  • the memory is used to store computer programs
  • the processor is used to read the program in the memory and execute the following steps:
  • the beam is used for beamforming/scheduling information for scheduling/MCS for modulation and then signal transmission.
  • the processor uses the beam to perform beamforming/scheduling information for scheduling/MCS for modulation and then perform signal transmission, including at least one of the following steps:
  • the angle of the current beam is adjusted upward and/or downward respectively by the set angle
  • Beam scanning is performed within the beam scanning range, and the current beam is adjusted according to the scanning result.
  • the beam scanning range is to adopt the direction of the current beam, and the angle of the current beam is adjusted upward and/or downward for the beam corresponding to the set angle, respectively. Scope.
  • the processor predicts the predicted value of the position at the next moment according to the measured value, including:
  • the predicted value of the position at the next moment is predicted according to the measured value through a prediction function, the prediction function is used to estimate the average acceleration according to the measured value, and calculate the predicted value of the position at the next moment according to the current speed and the average acceleration.
  • the processor is further configured to perform at least one of the following steps:
  • the relevant parameters of the prediction function are initialized by the machine learning method
  • the processor adjusts the relevant parameters of the prediction function according to the time delay requirement and the change of the position, including at least one of the following steps:
  • the value of ⁇ t at two adjacent moments is decreased, and when it is determined that the terminal is in a scenario where the moving speed is lower than the set speed low threshold, the value of two adjacent ones is increased.
  • the value of ⁇ t of the acceleration at time is decreased.
  • the three-dimensional cell environment is a three-dimensional model constructed by the processor based on a detection and perception method using any of the following steps:
  • the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals;
  • the base station collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the server collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the base station/server collects environmental data through detection and perception signals, constructs an initial three-dimensional cell environment based on the environmental data, and the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server based on the environmental data reported by different terminals , and improve the initial 3D environment data.
  • the terminal/base station/server collects environmental data through detection and perception technology, including:
  • the terminal/base station/server uses active detection and perception signals and/or passive detection and perception signals to detect objects through detection and perception technology, and determines the outline, material and orientation data of objects in the cell according to the detection results.
  • the active detection and perception signal includes any one or more of laser detection and perception signals, millimeter wave sensor detection and perception signals, and terahertz wave sensor detection and perception signals;
  • the passive detection perception signal includes a visual detection perception signal for collecting cell images.
  • the processor determines the measurement values of the terminal at the current moment and the previous moment in the three-dimensional cell environment, including:
  • Collect the cell images at the current moment and the previous moment through visual detection and perception signals, perform image recognition on the cell images, and determine the current moment and previous moments of the terminal in the three-dimensional cell environment according to the identified location of the terminal in the cell image. a measurement of the location; or
  • Identify the terminal by using the terahertz wave sensing detection and sensing signal, and use the terahertz/millimeter wave sensing detection and sensing signal to determine the measurement value of the terminal at the current moment and the previous moment position in the three-dimensional cell environment;
  • the processor determines the adopted beam according to the predicted value of the three-dimensional cell environment and location, including:
  • the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity.
  • the device is a terminal, and the signal transmission is uplink signal transmission; or the device is a base station, and the signal transmission is downlink signal transmission.
  • the present application provides a device for signal transmission, comprising:
  • a positioning unit configured to determine the measurement values of the terminal at the current moment and the previous moment in a three-dimensional cell environment, where the three-dimensional cell environment is a three-dimensional model constructed based on a detection and perception method;
  • a signal determination unit configured to predict the predicted value of the position at the next moment according to the measured value, and obtain the beam/scheduling information/MCS to be determined and used according to the predicted value of the three-dimensional cell environment and the position;
  • a signal transmission unit configured to perform beamforming by using the beam/scheduling information to perform scheduling/MCS to perform modulation and then perform signal transmission.
  • the signal transmission unit uses the beam to perform beamforming/scheduling information for scheduling/MCS for modulation and then perform signal transmission, including at least one of the following steps:
  • the angle of the current beam is adjusted upward and/or downward respectively by the set angle
  • Beam scanning is performed within the beam scanning range, and the current beam is adjusted according to the scanning result.
  • the beam scanning range is to adopt the direction of the current beam, and the angle of the current beam is adjusted upward and/or downward for the beam corresponding to the set angle, respectively. Scope.
  • the signal determination unit predicts the predicted value of the position at the next moment according to the measured value, including:
  • the predicted value of the position at the next moment is predicted according to the measured value by a prediction function, and the predicted function is used for estimating the average acceleration according to the measured value, and calculates the predicted value of the position at the next moment according to the current speed and the average acceleration.
  • the signal determining unit is further configured to perform at least one of the following steps:
  • the relevant parameters of the prediction function are initialized by the machine learning method
  • the signal determination unit adjusts the relevant parameters of the prediction function according to the time delay requirement and the change of the position, including at least one of the following steps:
  • the value of ⁇ t at two adjacent moments is decreased, and when it is determined that the terminal is in a scenario where the moving speed is lower than the set speed low threshold, the value of two adjacent ones is increased.
  • the value of ⁇ t of the acceleration at time is decreased.
  • the three-dimensional cell environment is a three-dimensional model constructed by the positioning unit based on a detection and perception method using any of the following steps:
  • the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals;
  • the base station collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the server collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the base station/server collects environmental data through detection and perception signals, constructs an initial three-dimensional cell environment based on the environmental data, and the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server based on the environmental data reported by different terminals , and improve the initial 3D environment data.
  • the terminal/base station/server collects environmental data through detection and perception technology, including:
  • the terminal/base station/server uses active detection and perception signals and/or passive detection and perception signals to detect objects through detection and perception technology, and determines the outline, material and orientation data of objects in the cell according to the detection results.
  • the active detection and perception signal includes any one or more of laser detection and perception signals, millimeter wave sensor detection and perception signals, and terahertz wave sensor detection and perception signals;
  • the passive detection perception signal includes a visual detection perception signal for collecting cell images.
  • the positioning unit determines the measurement values of the current moment and the previous moment position of the terminal in the three-dimensional cell environment, including:
  • Collect the cell images at the current moment and the previous moment through visual detection and perception signals, perform image recognition on the cell images, and determine the current moment and previous moments of the terminal in the three-dimensional cell environment according to the identified location of the terminal in the cell image. a measurement of the location; or
  • the terminal is identified by using the terahertz wave sensing detection and perception signal, and the measured value of the current moment and the previous moment position of the terminal in the three-dimensional cell environment is determined by using the terahertz/millimeter wave sensing detection and perception signal.
  • the signal determining unit determines the beam to be used according to the predicted value of the three-dimensional cell environment and location, including:
  • the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity.
  • the apparatus is applied to a terminal to perform uplink signal transmission, or the apparatus is applied to a base station to perform downlink signal transmission.
  • the present application provides a computer program medium on which a computer program is stored, and when the program is executed by a processor, implements the steps of the signal transmission method provided in the first aspect above.
  • the signal transmission method, device and device provided by the present application can realize fast beam tracking of narrow beams or more accurately schedule UEs in mobile scenarios, and ensure low-latency and highly reliable transmission of services.
  • FIG. 2 is a schematic diagram of a downlink transmission beam tracking process in the prior art
  • FIG. 3 is an application scenario of a signal transmission method provided by an embodiment of the present application.
  • FIG. 4 is a flowchart of a signal transmission method provided by an embodiment of the present application.
  • FIG. 5 is a schematic diagram of a three-dimensional cell environment provided by an embodiment of the present application.
  • FIG. 6 is a schematic diagram of a position prediction provided by an embodiment of the present application.
  • FIG. 7 is a schematic diagram of a device for signal transmission provided by an embodiment of the present application.
  • FIG. 8 is a schematic diagram of a signal transmission apparatus according to an embodiment of the present application.
  • GSM Global System Of Mobile Communication
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • GPRS General Packet Radio Service
  • LTE Long Term Evolution
  • FDD Frequency Division Duplex
  • TDD Time Division Duplex
  • UMTS General Universal Mobile Telecommunication System
  • WiMAX Worldwide Interoperability For Microwave Access
  • the terminal device involved in the embodiments of the present application may be a device that provides voice and/or data connectivity to a user, a handheld device with a wireless connection function, or other processing device connected to a wireless modem.
  • the name of the terminal device may be different.
  • the terminal device may be called user equipment (User Equipment, UE).
  • the wireless end devices may communicate with one or more core networks via the RAN, and the wireless end devices may be mobile end devices such as mobile phones (or "cellular" phones) and computers with mobile end devices, for example, which may be portable , pocket, handheld, computer built-in or vehicle mounted mobile devices that exchange language and/or data with the radio access network.
  • Wireless terminal equipment may also be referred to as a system, a subscriber unit, a subscriber station, a mobile station, a mobile station, a remote station, or an access point.
  • Remote Terminal Remote Terminal
  • Access Terminal Access Terminal
  • User Terminal User Terminal
  • User Agent User Agent
  • User Device User Device
  • the base station may include multiple cells.
  • the base station may also be called an access point, or may refer to a device in the access network that communicates with wireless terminal devices through one or more sectors on the air interface, or other names.
  • the network device can be used to convert received air frames to and from Internet Protocol (IP) packets and act as a router between the wireless end device and the rest of the access network, which can include IP Communications network.
  • IP Internet Protocol
  • the network devices may also coordinate attribute management for the air interface.
  • the network device involved in the embodiments of the present application may be a network device (Base Transceiver Station, BTS) in a Global System For Mobile Communications (GSM) or a Code Division Multiple Access (Code Division Multiple Access, CDMA). ), it can also be a network device (NodeB) in the Wide-Band Code Division Multiple Access (WCDMA), or it can be an evolved network device in the Long Term Evolution (Long Term Evolution, LTE) system (Evolutional Node B, eNB or e-NodeB), 5G base station in 5G network architecture (Next Generation System), or Home Evolved Bode B (HeNB), relay node (Relay Node), home base station ( Femto), pico base station (Pico), etc., which are not limited in the embodiments of the present application.
  • BTS Base Transceiver Station
  • GSM Global System For Mobile Communications
  • CDMA Code Division Multiple Access
  • NodeB Wide-Band Code Division Multiple Access
  • WCDMA Wide-Band Code Division Multiple Access
  • the base station/terminal will use higher gain antennas, integrate a larger number of antennas and use beamforming technology to form a "pencil shape"
  • the ultra-narrow beam is used to overcome the high path loss in the terahertz band to improve the coverage of the cell. Therefore, how to obtain accurate channel information, realize fast beam tracking of narrow beams in mobile scenarios, and ensure low-latency and highly reliable transmission of services is a key technical problem that needs to be solved.
  • the DOA estimation technique is used to obtain the beam direction required by the beamformer. Assuming that the observation point is far away from the antenna element, it can be considered that the angles at which the two waves reach the observation point are the same, as shown in Figure 1. At this time, the phase difference of the two waves will change with the change of the observation angle. Using the reciprocity of the channel, the DOA is estimated from the upstream signal and used to calculate the downstream beamforming vector. However, because the channel is not ideal, when the above DOA estimation is used, the phase error will have a non-negligible impact on the angle estimation performance.
  • the CSI is estimated according to the reference signal, the beamforming PMI is obtained, and the channel change is tracked by updating the precoding weight.
  • the accuracy of CSI estimation will affect the effect of precoding shaping.
  • the optimal beam direction is determined by beam scanning.
  • the base station sends a set of reference signals, and these reference signals correspond to a set of downlink beams.
  • the user equipment (UE1 and UE2 in Figure 2 are used as examples) measures the radio signals emitted by different beams and reports relevant information to the base station , the base station determines the best transmit beam aimed at the user according to the user report, and the user equipment adopts the corresponding receive beam.
  • Using channel reciprocity user equipment can employ downlink beam pairs for uplink transmission.
  • the uplink beam scanning process is similar to the downlink, and the network configures the SRS to complete the corresponding process.
  • the present application proposes a signal transmission method, which can realize beam tracking of narrow beams in a mobile scenario and reduce link instability caused by position estimation errors.
  • This solution can realize fast beam tracking of narrow beams or more accurate scheduling of UEs in mobile scenarios, ensuring low-latency and highly reliable transmission of services.
  • an application scenario of a signal transmission method provided in this embodiment includes a base station 301 , a server 302 , and a terminal 303 .
  • FIG. 3 does not illustrate all the base stations, servers and terminals. In an actual system, there may be multiple base stations, servers and terminals, which will not be repeated here.
  • a signal transmission method provided by an embodiment of the present application includes:
  • Step S401 determining the measured values of the terminal at the current moment and the previous moment in a three-dimensional cell environment, where the three-dimensional cell environment is a three-dimensional model constructed based on a detection and perception method;
  • the above-mentioned three-dimensional cell environment is a three-dimensional model constructed based on the detection and perception method.
  • Figure 5 is a schematic diagram of the above-mentioned three-dimensional cell environment. Detect the perception signal, perform object detection, determine the outline, material and orientation data of the object in the cell according to the detection result, and construct a three-dimensional model of the three-dimensional cell environment according to the environmental data (the data determined above).
  • the aforementioned collection of environmental data by the terminal/base station/server through detection and perception technology includes:
  • the terminal/base station/server uses active detection and perception signals and/or passive detection and perception signals to detect objects through detection and perception technology, and determines the outline, material and orientation data of objects in the cell according to the detection results.
  • the active detection and perception signal includes any one or more of laser detection and perception signals, millimeter wave sensor detection and perception signals, and terahertz wave sensor detection and perception signals;
  • the passive detection perception signal includes a visual detection perception signal for collecting cell images.
  • the base station side can use the detection and perception module to collect UEs within the cell range and environmental information within the cell range, wherein the detection and perception module can be integrated in the base station, or can be used as an independent device for each spatial location within the cell range It is not limited here.
  • Active detection and perception means that the base station controls the detection and perception module to send active detection and perception signals to at least one direction, and the active detection and perception signals include laser detection and perception signals, millimeter-wave sensor detection and perception signals, and terahertz wave sensors. Any one or any of the multiple signals, the above-mentioned signals may be used in combination or separately to determine the contour, material and orientation information of objects in the cell.
  • Active detection and perception method Use laser detection and perception signals to detect objects.
  • the distance information of the target object can be quickly obtained by emitting laser light to each object in the area of the cell and the time difference of receiving the reflected laser light, and the orientation of the target object can be obtained by obtaining the scanning angle of the laser, using the method of laser detection. It has the characteristics of high measurement accuracy, fast response time and insensitivity to changes in the lighting environment.
  • the contour and position information of each object in the community can be detected by laser.
  • Active detection and perception method Use millimeter wave sensor detection and perception signals to detect objects.
  • the laser beam emitted by the laser sensing module has a strong directionality, it is easy to appear blind spots of vision, that is, if there is an obstruction on the laser transmission path, it is impossible to perceive the object information without distance difference. Therefore, for objects in the blind area of vision, the laser blind area can be covered by millimeter waves, and the sensing distance of the millimeter wave sensing module is farther than that of the laser sensing module, and the position information of each object in the cell can be detected through the millimeter wave.
  • Active detection and perception method 3 Use terahertz wave sensing to detect and sense signals to detect objects.
  • the millimeter wave can only determine the position information of each object in the cell, but it is difficult to identify the object, and the terahertz wave has a strong penetration of non-polar materials, so it can detect the occluded target, and the terahertz wave can detect the target.
  • the "fingerprint spectrum" characteristic of Hertz waves can detect the location information and materials of objects in the cell range through terahertz waves.
  • the above-mentioned passive detection and perception signals include visual detection and perception signals, and the orientation information of objects in the cell is determined according to the detection results, including:
  • the base station uses at least one high-definition camera in the detection and perception module to obtain surrounding environment information based on image analysis, and uses image analysis and recognition technology to perceive the shape, size and position of objects within the cell range.
  • the above-mentioned active detection and perception signals and passive detection and perception signals can be used separately or in combination.
  • one method of using the signals in combination is that after the camera performs imaging, the specific category information of the object is obtained through image analysis and recognition. Then the base station controls the position determined by the image analysis, and sends out active detection and perception signals, such as lasers, millimeter waves or terahertz waves, for fixed-point ranging and material analysis.
  • determining the measurement values of the terminal at the current moment and the previous moment in the three-dimensional cell environment including:
  • Collect the cell images at the current moment and the previous moment through visual detection and perception signals, perform image recognition on the cell images, and determine the current moment and previous moments of the terminal in the three-dimensional cell environment according to the identified location of the terminal in the cell image. a measurement of the location; or
  • the terminal is identified by using the terahertz wave sensing detection and perception signal, and the measured value of the current moment and the previous moment position of the terminal in the three-dimensional cell environment is determined by using the terahertz/millimeter wave sensing detection and perception signal.
  • the above-mentioned measurement values for determining the current and previous positions of the terminal in the three-dimensional cell environment are not limited to the use of terahertz/millimeter wave sensing to detect sensing signals, as long as the measurement of the position and time can be achieved. , any form of sensing detection sensing signal can be applied to this application.
  • the location information of the terminal needs to be determined.
  • the above-mentioned visual detection and perception signals can be obtained in the following ways: taking pictures with a camera, obtaining surrounding environment information based on machine vision, and perceiving the shape and size of the target object through image analysis and recognition technology, and determining the position of the target object can be determined by monocular imaging. ranging method and binocular stereo vision ranging method. Taking this target object as a reference point, the position of the terminal in the above-mentioned three-dimensional cell environment is obtained.
  • the measurement values of the current moment and the previous moment position of the terminal in the three-dimensional cell environment can be determined by any positioning method, such as sending the position of the device or the relative position to the surrounding objects or the identification of the carrying position to the base station through the terminal, Or the base station can actively scan each terminal and the location of the terminal in the cell, in which, the way to determine each terminal by scanning can be to install a marker in the terminal in advance, and when the base station scans, the scanned object can be determined according to the marker. Whether it is a terminal or not, a marker can also be placed on the surface of the terminal. When the base station recognizes the marker through the image, the object at the location is determined as the terminal.
  • the positional relationship between the terminal and the base station can be mapped, it can be It is applied to the present application to determine the location of the terminal in the cell, wherein the method of determining the location information of the terminal in the cell is not limited to the method provided in the above embodiment, which should be known by those skilled in the art, and will not be repeated here.
  • Step 402 predicting the predicted value of the position at the next moment according to the measured value, and obtaining the beam/scheduling information/MCS determined to be used according to the predicted value of the three-dimensional cell environment and the position;
  • the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity.
  • scheduling and MCS selection may be performed according to the three-dimensional cell environment and the measured value of the terminal location.
  • Step 403 use the beam for beamforming/scheduling information for scheduling/MCS for modulation and then perform signal transmission.
  • the solution provided by the embodiments of the present application obtains a three-dimensional cell environment (ie, a digital 3D channel model) based on perception technology, further realizes more accurate fast beam tracking of moving targets based on prediction technology, and realizes mobile scenarios by directional shaping of antennas to predicted positions more accurate fast beam tracking, or the modulation and scheduling scheme of the terminal can be determined on the basis of tracking the terminal, so that the modulation or scheduling scheme is more accurate and the efficiency of signal modulation/terminal scheduling is improved.
  • a three-dimensional cell environment ie, a digital 3D channel model
  • the modulation and scheduling scheme of the terminal can be determined on the basis of tracking the terminal, so that the modulation or scheduling scheme is more accurate and the efficiency of signal modulation/terminal scheduling is improved.
  • a possible implementation is that the terminal collects environmental data by means of sensing and detection and reports it to the base station/server, and the base station The server constructs a three-dimensional cell environment according to the environmental data reported by different terminals; another possible implementation is that the base station/server collects the environmental data by means of sensing and detection, and constructs the three-dimensional cell environment according to the collected environmental data.
  • the base station/server collects environmental data through detection and perception signals, constructs an initial three-dimensional cell environment according to the above environmental data, and the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server According to the environmental data reported by different terminals, the above-mentioned initial three-dimensional environmental data is improved.
  • the above-mentioned environmental data includes the shape, size, position, material, etc. of the objects in the cell.
  • the above signal transmission method can be applied to the base station for downlink signal transmission:
  • the base station obtains the constructed 3D cell environment through any of the above methods, and the base station determines the current moment and the measured value of the position of the terminal in the 3D cell environment at the previous moment, or, after the server constructs the 3D cell environment, the server determines that the terminal is in the 3D cell environment
  • the measured value of the current time and the previous time in the location, and the measured value of the above location is sent to the base station.
  • the base station predicts the predicted value of the position of the terminal at the next moment based on the measurement value of the current moment and the position of the terminal in the three-dimensional cell environment at the next moment; obtains the beam/scheduling information/MCS used, and finally the base station uses the beam to perform beamforming.
  • /Scheduling information is scheduled /MCS is modulated for signal transmission.
  • the above signal transmission method can also be applied to the terminal for uplink signal transmission:
  • the terminal obtains the constructed 3D cell environment through any of the above methods, and determines the measured values of the terminal's current moment in the 3D cell environment and the position of the previous moment. The current moment and the measurement value of the previous moment in the location, and send the measurement value of the above location to the terminal.
  • the terminal predicts the predicted value of the position of the terminal at the next moment based on the measurement value of the current moment and the previous moment position in the three-dimensional cell environment; obtains the beam/scheduling information/MCS used, and finally the terminal uses the beam to perform beamforming. /Scheduling information is scheduled /MCS is modulated for signal transmission.
  • using the beam for beamforming/scheduling information for scheduling/MCS for modulation and then performing signal transmission includes at least one of the following steps:
  • the angle of the current beam is adjusted upward and/or downward respectively by the set angle
  • Beam scanning is performed within the beam scanning range, and the current beam is adjusted according to the scanning result.
  • the beam scanning range is to adopt the direction of the current beam, and the angle of the current beam is adjusted upward and/or downward for the beam corresponding to the set angle, respectively. Scope.
  • the block error rate of the signal when the block error rate of the signal is greater than the set threshold, it is used to expand around the prediction direction ⁇ , that is, to expand the beam within the range of ⁇ for coverage, where the value of ⁇ depends on Positioning accuracy and the distance r between the terminal and the base station;
  • the beam scanning can be performed within the beam scanning range, for example, within the range of ⁇ , and then the optimal beam-forming beam can be obtained.
  • predicting the predicted value of the position at the next moment according to the measured value including:
  • the predicted value of the position at the next moment is predicted according to the measured value through a prediction function, the prediction function is used to estimate the average acceleration according to the measured value, and calculate the predicted value of the position at the next moment according to the current speed and the average acceleration.
  • the next step is to predict the predicted value of the next moment position through the prediction function, as shown in FIG. 6 : Schematic diagram of location prediction.
  • the above prediction function is used to estimate the average acceleration according to the above measured value, and calculate the predicted value of the position at the next moment according to the current speed and the average acceleration.
  • v 0 S P0-P-1 / ⁇ t
  • v -1 S P-1-P-2 / ⁇ t, . . .
  • v -(N-1) S P-(N-1)-PN / ⁇ t, where S P0-P-1 : is the distance between P 0 and P -1 ; ⁇ t is the distance between two adjacent points The sampling time difference between sampling instants.
  • a 0 (v 0 -v -1 )/ ⁇ t
  • a -1 (v -1 -v -2 )/ ⁇ t
  • a' is the average acceleration of the previous M moments.
  • P 1 ' is a point in the v 1 direction with a distance P 0 of S, and the v 1 direction can be obtained from the v 0 direction and the direction of the acceleration a' by the parallelogram law.
  • the method also includes at least one of the following steps:
  • the relevant parameters of the prediction function are initialized by the machine learning method
  • the relevant parameters of the prediction function are initialized by a machine learning method.
  • the measurement values of the positions in the above-mentioned three-dimensional cell environment are collected, processed and analyzed, feature selection, evaluation and improvement are performed, and relevant parameters of the initialization function of the prediction function are obtained.
  • the above-mentioned method of obtaining the predicted value of the position at the next moment is not uniquely determined.
  • the predicted value of the position at the next moment can be obtained by any method, which can be applied to the present application, and is not limited to The manners provided by the foregoing embodiments should be known by those skilled in the art, and will not be repeated here.
  • adjusting the relevant parameters of the prediction function including at least one of the following steps:
  • M is adaptively configured according to the position change.
  • the value of M for calculating the average acceleration at M times is reduced;
  • the direction of the motion acceleration is approximately the same;
  • the value of ⁇ t at two adjacent moments is decreased, and when it is determined that the terminal is in a scenario where the moving speed is lower than the set speed low threshold, the value of two adjacent ones is increased.
  • ⁇ t can be configured according to the moving speed. In high-speed motion scenarios, the value of ⁇ t decreases, and in low-speed motion scenarios, the value of ⁇ t increases.
  • the relevant parameters of the above-mentioned prediction function are not fixed, and the relevant parameters of the above-mentioned prediction function will be adaptively adjusted according to the time delay requirement and the change of the above-mentioned position.
  • the range of the above cell environment may be the farthest range that the cell base station can cover during communication, or the farthest detection position that the cell base station can detect.
  • the final determined cell environment range is the cell base station. The position that can be covered by communication and can be detected by the cell base station.
  • the objects in the cell can be either objects that are stationary for a period of time, or objects that move within the cell.
  • the environmental information determined by the stationary objects and the environmental information determined by the moving objects can be used in combination or separately. The purpose is to ensure that the positions of objects and terminals in the above-mentioned cells are timely.
  • the beam signal will be affected. Therefore, after determining the terminal, it is detected whether each object within the cell has a position change compared with the three-dimensional cell environment drawn at the previous moment. If there is a position change, the current stereo is updated according to the current position information.
  • the environment model specifically, firstly reports the 3D cell environment to the base station, and then only reports moving objects (moving cars, pedestrians, etc.), and no longer reports static objects (buildings, trees, stationary cars, etc.), unless the environment is static Objects have changed.
  • the executive body of constructing a three-dimensional cell environment can be the base station itself (using base station detection or terminal detection)/server itself (sampling server detection or terminal detection)/base station and terminal cooperation.
  • the method is described in detail:
  • the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals.
  • the terminal obtains the environmental conditions around the terminal through technologies such as camera photography/terahertz detection;
  • the terminal takes pictures through the camera, obtains the surrounding environment information based on machine vision, and perceives the shape and size of the target object through image analysis and recognition technology.
  • the determination of the position of the target object can be obtained by the monocular imaging ranging method and the binocular stereo vision ranging method.
  • the characteristics of the material of the reflective object can be obtained. Specifically, on the basis of taking pictures with the camera, further, for the reflective surface at a specific position, with the help of the "fingerprint spectrum" characteristic of the terahertz wave, the target component can be identified.
  • the material characteristics of the reflective objects are part of the necessary information of the digital 3D model, and other communication systems choose whether they need it according to the situation;
  • the base station collects environmental data by detecting and sensing signals, and constructs a three-dimensional cell environment according to the above-mentioned environmental data.
  • the base station obtains the environmental conditions around the base station through technologies such as camera photography/terahertz detection;
  • the base station takes pictures through one or a group of cameras, obtains surrounding environment information based on machine vision, and perceives the shape and size of the target object through image analysis and recognition technology.
  • the determination of the position of the target object can be obtained by the monocular imaging ranging method and the binocular stereo vision ranging method.
  • the characteristics of the material of the reflective object can be obtained. Specifically, on the basis of taking pictures with the camera, further, for the reflective surface at a specific position, with the help of the "fingerprint spectrum" characteristic of the terahertz wave, the target component can be identified.
  • the material characteristics of the reflective objects are part of the necessary information of the digital 3D model, and other communication systems choose whether they need it according to the situation;
  • the terminal may obtain the digital three-dimensional model from the base station.
  • the server collects environmental data by detecting and sensing signals, and constructs a three-dimensional cell environment according to the above-mentioned environmental data.
  • the server in this embodiment acts as a cloud/side terminal, obtains the surrounding environment through a large number of distributed detection and perception modules, and uses technologies such as camera photography/terahertz detection;
  • the cloud/side end uses one or a group of distributed detection and perception modules, mainly referring to the camera to take pictures, to obtain the surrounding environment information based on machine vision, and to perceive the shape and size of the target object through image analysis and recognition technology.
  • the determination of the position of the target object can be obtained by the monocular imaging ranging method and the binocular stereo vision ranging method.
  • the characteristics of the material of the reflective object can be obtained. Specifically, on the basis of taking pictures with the camera, further, for the reflective surface at a specific position, with the help of the "fingerprint spectrum" characteristic of the terahertz wave, the target component can be identified.
  • the material characteristics of the reflective objects are part of the necessary information of the digital 3D model, and other communication systems choose whether they need it according to the situation;
  • the base station/terminal downloads information such as the digital three-dimensional model corresponding to the base station from the cloud/side terminal;
  • the cloud/side server stores digital three-dimensional models of multiple base stations
  • the base station/terminal sends a request to the cloud/side server wirelessly, and sends the location information of the base station to the cloud/side server, requesting to determine the location surrounding the base station
  • the cloud/side server feeds back the corresponding digital 3D model wirelessly to the base station/terminal.
  • the base station/terminal sends a request to the cloud/side server wirelessly, and sends the base station/terminal location, frequency, selected path threshold, the number of antennas, antenna distance and other information to the cloud/side server to request a channel Information matrix
  • the cloud/side server can obtain 1 or X strongest paths greater than a certain threshold through the digital three-dimensional model, base station and terminal location by ray tracing method, and accumulate the selected path signals to obtain the channel information matrix H, And feed back the corresponding channel information to the base station/terminal by wireless.
  • the base station/server collects environmental data through detection and perception signals, constructs an initial three-dimensional cell environment based on the above-mentioned environmental data, and the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server is based on the environment reported by different terminals. data, and improve the above initial 3D environment data.
  • the base station or cloud/edge obtains the surrounding environment through technologies such as camera photography/terahertz detection; selects and determines the main reflective objects, occluders, etc., and abstracts them into three-dimensional or three-dimensional combined graphics such as cuboid, triangular prism, etc., to construct a geographical environment digital three-dimensional models;
  • the characteristics of the material of the reflective object are obtained.
  • the material characteristics of the reflective object are part of the necessary information of the digital three-dimensional model, and other communication systems can choose whether it is required according to the situation;
  • the terminal obtains the environmental conditions around the terminal through technologies such as camera photography/terahertz detection; selects and determines the main reflective objects, obstructions, etc., and the terminal reports the obtained surrounding environmental conditions to the base station or cloud/side terminal, so that the base station or cloud/side After receiving the above information, the edge further supplements the constructed digital three-dimensional model to obtain a more complete three-dimensional model.
  • the terminal obtains the digital three-dimensional model from the base station or cloud/side;
  • the terminal obtains the environmental conditions around the terminal through technologies such as camera photography/terahertz detection; selects and determines the main reflective objects, occlusions, etc., and further supplements the obtained digital 3D model to obtain a more complete 3D model;
  • the terminal takes pictures through the camera, obtains the surrounding environment information based on machine vision, and perceives the shape and size of the target object through image analysis and recognition technology.
  • the determination of the position of the target object can be obtained by the monocular imaging ranging method and the binocular stereo vision ranging method.
  • the characteristics of the material of the reflective object can be obtained. Specifically, on the basis of taking pictures with the camera, further, for the reflective surface at a specific position, with the help of the "fingerprint spectrum" characteristic of the terahertz wave, the target component can be identified.
  • the material characteristics of the reflective objects are part of the necessary information of the digital 3D model, and other communication systems choose whether they need it according to the situation;
  • the beam to be used is determined according to the predicted value of the three-dimensional cell environment and location, including:
  • the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity.
  • an optimal shaped beam is obtained based on the principle of minimum path loss: based on the above-mentioned three-dimensional cell environment, the ray tracing method is used to calculate the path loss of different paths , obtain 1 or X strongest paths greater than a certain threshold.
  • the above-mentioned ray tracing method is a method for solving the ray path and electromagnetic wave propagation time between two points given the positions of the transmitting point and the receiving point and the wave speed of the medium. It is mainly divided into two types: forward algorithm and reverse algorithm.
  • the test firing method, the bending method, the finite difference method, the travel time interpolation method, the shortest path method and the wavefront construction method are all forward algorithms.
  • the strongest transmission path may be one or several. Specifically, using one or several paths and sending one or several shaped beams along this path depends on whether the communication chain is satisfied or not. If the requirements of the communication link budget are not met, if there are multiple strongest paths and selecting one of the strongest paths can satisfy the communication requirements, the beamforming beam can be sent on any of the strongest paths.
  • the base station/terminal sends a request to the cloud/side server wirelessly, and sends the location and frequency of the base station/terminal, selects the path threshold, and sends information such as the number of antennas, antenna distance, etc. to the cloud/side server, and requests to determine
  • the base station/terminal can obtain a digital precoding matrix or configure an analog phase shifter through the above method.
  • scheduling and MCS selection may be performed according to the three-dimensional cell environment and the measured value of the terminal location.
  • the channel information matrix H can be obtained by the ray tracing method, combined with the hybrid automatic repeat request (Hybrid Automatic Repeat reQuest, HARQ) feedback results at the previous moment, scheduling, MCS
  • Hybrid Automatic Repeat reQuest Hybrid Automatic Repeat reQuest, HARQ
  • MCS Hybrid Automatic Repeat reQuest
  • the method is applied to the terminal for uplink signal transmission, or applied to the base station for downlink signal transmission.
  • An embodiment of the present application provides a signal transmission device, as shown in FIG. 7 , including:
  • Memory 701 Memory 701 , processor 702 , transceiver 703 and bus interface 704 .
  • the processor 702 is responsible for managing the bus architecture and general processing, and the memory 701 may store data used by the processor 702 in performing operations.
  • the transceiver 703 is used to receive and transmit data under the control of the processor 702 .
  • the bus architecture may include any number of interconnected buses and bridges, in particular one or more processors represented by processor 702 and various circuits of memory represented by memory 701 linked together.
  • the bus architecture may also link together various other circuits, such as peripherals, voltage regulators, and power management circuits, which are well known in the art and, therefore, will not be described further herein.
  • the bus interface provides the interface.
  • the processor 702 is responsible for managing the bus architecture and general processing, and the memory 701 may store data used by the processor 702 in performing operations.
  • the processes disclosed in the embodiments of the present application may be applied to the processor 702 or implemented by the processor 702 .
  • each step of the signal processing flow may be completed by hardware integrated logic circuits in the processor 702 or instructions in the form of software.
  • the processor 702 may be a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component, and may implement or execute the embodiments of the present application.
  • a general purpose processor may be a microprocessor or any conventional processor or the like.
  • the steps of the method disclosed in conjunction with the embodiments of the present application may be directly embodied as executed by a hardware processor, or executed by a combination of hardware and software modules in the processor.
  • the software module may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature in the art.
  • the storage medium is located in the memory 701, and the processor 702 reads the information in the memory 701, and completes the steps of the signal processing flow in combination with its hardware.
  • the processor 702 is configured to read the program in the memory 701 and execute:
  • the beam is used for beamforming/scheduling information for scheduling/MCS for modulation and then signal transmission.
  • the processor uses the beam to perform beamforming/scheduling information for scheduling/MCS for modulation and then perform signal transmission, including at least one of the following steps:
  • the angle of the current beam is adjusted upward and/or downward respectively by the set angle
  • Beam scanning is performed within the beam scanning range, and the current beam is adjusted according to the scanning result.
  • the beam scanning range is to adopt the direction of the current beam, and the angle of the current beam is adjusted upward and/or downward for the beam corresponding to the set angle, respectively. Scope.
  • the processor predicts the predicted value of the position at the next moment according to the measured value, including:
  • the predicted value of the position at the next moment is predicted according to the measured value through a prediction function, the prediction function is used to estimate the average acceleration according to the measured value, and calculate the predicted value of the position at the next moment according to the current speed and the average acceleration.
  • the processor is further configured to perform at least one of the following steps:
  • the relevant parameters of the prediction function are initialized by the machine learning method
  • the processor adjusts the relevant parameters of the prediction function according to the time delay requirement and the change of the position, including at least one of the following steps:
  • the value of ⁇ t at two adjacent moments is decreased, and when it is determined that the terminal is in a scenario where the moving speed is lower than the set speed low threshold, the value of two adjacent ones is increased.
  • the value of ⁇ t of the acceleration at time is decreased.
  • the three-dimensional cell environment is a three-dimensional model constructed by the processor based on a detection and perception method using any of the following steps:
  • the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals;
  • the base station collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the server collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the base station/server collects environmental data through detection and perception signals, constructs an initial three-dimensional cell environment based on the environmental data, and the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server based on the environmental data reported by different terminals , and improve the initial 3D environment data.
  • the terminal/base station/server collects environmental data through detection and perception technology, including:
  • the terminal/base station/server uses active detection and perception signals and/or passive detection and perception signals to detect objects through detection and perception technology, and determines the outline, material and orientation data of objects in the cell according to the detection results.
  • the active detection and perception signal includes any one or more of laser detection and perception signals, millimeter wave sensor detection and perception signals, and terahertz wave sensor detection and perception signals;
  • the passive detection perception signal includes a visual detection perception signal for collecting cell images.
  • the processor determines the measurement values of the terminal at the current moment and the previous moment in the three-dimensional cell environment, including:
  • Collect the cell images at the current moment and the previous moment through visual detection and perception signals, perform image recognition on the cell images, and determine the current moment and previous moments of the terminal in the three-dimensional cell environment according to the identified location of the terminal in the cell image. a measurement of the location; or
  • Identify the terminal by using the terahertz wave sensing detection and sensing signal, and use the terahertz/millimeter wave sensing detection and sensing signal to determine the measurement value of the terminal at the current moment and the previous moment position in the three-dimensional cell environment;
  • the processor determines the adopted beam according to the predicted value of the three-dimensional cell environment and location, including:
  • the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity.
  • the device is a terminal, and the signal transmission is uplink signal transmission; or the device is a base station, and the signal transmission is downlink signal transmission.
  • the signal transmission device provided in the embodiment of the present application belongs to the same inventive concept as the signal transmission method in the above-mentioned embodiment of the present application, and can be applied to the various implementations of the signal transmission method provided in the above-mentioned embodiment. It is not repeated here.
  • An embodiment of the present application provides a signal transmission device, as shown in FIG. 8 , including:
  • a positioning unit 801 configured to determine the measurement values of the current moment and the previous moment position of the terminal in a three-dimensional cell environment, where the three-dimensional cell environment is a three-dimensional model constructed based on a detection and perception method;
  • a signal determination unit 802 configured to predict the predicted value of the position at the next moment according to the measurement value, and obtain the beam/scheduling information/MCS to be determined and used according to the predicted value of the three-dimensional cell environment and the position;
  • the signal transmission unit 803 is configured to use the beam to perform beamforming/scheduling information to perform scheduling/MCS to perform modulation and then perform signal transmission.
  • the signal transmission unit uses the beam to perform beamforming/scheduling information for scheduling/MCS for modulation and then perform signal transmission, including at least one of the following steps:
  • the angle of the current beam is adjusted upward and/or downward respectively to the set angle
  • Beam scanning is performed within the beam scanning range, and the current beam is adjusted according to the scanning result.
  • the beam scanning range is to adopt the direction of the current beam, and the angle of the current beam is adjusted upward and/or downward for the beam corresponding to the set angle, respectively. Scope.
  • the signal determination unit predicts the predicted value of the position at the next moment according to the measured value, including:
  • the predicted value of the position at the next moment is predicted according to the measured value through a prediction function, the prediction function is used to estimate the average acceleration according to the measured value, and calculate the predicted value of the position at the next moment according to the current speed and the average acceleration.
  • the signal determining unit is further used for at least one of the following steps:
  • the relevant parameters of the prediction function are initialized by the machine learning method
  • the signal determination unit adjusts the relevant parameters of the prediction function according to the time delay requirement and the change of the position, including at least one of the following steps:
  • the value of ⁇ t at two adjacent moments is decreased, and when it is determined that the terminal is in a scenario where the moving speed is lower than the set speed low threshold, the value of two adjacent ones is increased.
  • the value of ⁇ t of the acceleration at time is decreased.
  • the three-dimensional cell environment is a three-dimensional model constructed by the positioning unit based on a detection and perception method using any of the following steps:
  • the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server constructs a three-dimensional cell environment according to the environmental data reported by different terminals;
  • the base station collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the server collects environmental data through detection and perception signals, and constructs a three-dimensional cell environment according to the environmental data;
  • the base station/server collects environmental data through detection and perception signals, constructs an initial three-dimensional cell environment based on the environmental data, and the terminal collects environmental data through detection and perception signals and reports it to the base station/server, and the base station/server based on the environmental data reported by different terminals , and improve the initial 3D environment data.
  • the terminal/base station/server collects environmental data through detection and perception technology, including:
  • the terminal/base station/server uses active detection and perception signals and/or passive detection and perception signals to detect objects through detection and perception technology, and determines the outline, material and orientation data of objects in the cell according to the detection results.
  • the active detection and perception signal includes any one or more of laser detection and perception signals, millimeter wave sensor detection and perception signals, and terahertz wave sensor detection and perception signals;
  • the passive detection perception signal includes a visual detection perception signal for collecting cell images.
  • the positioning unit determines the measurement values of the current moment and the previous moment position of the terminal in the three-dimensional cell environment, including:
  • Collect the cell images at the current moment and the previous moment through visual detection and perception signals, perform image recognition on the cell images, and determine the current moment and previous moments of the terminal in the three-dimensional cell environment according to the identified location of the terminal in the cell image. a measurement of the location; or
  • Identify the terminal by using the terahertz wave sensing detection and sensing signal, and use the terahertz/millimeter wave sensing detection and sensing signal to determine the measurement value of the terminal at the current moment and the previous moment position in the three-dimensional cell environment;
  • the signal determining unit determines the beam to be used according to the predicted value of the three-dimensional cell environment and location, including:
  • the adopted beam is determined based on the principle of minimum path loss or maximum channel capacity.
  • the apparatus is applied to the terminal to perform uplink signal transmission, or the apparatus is applied to the base station to perform downlink signal transmission.
  • the signal transmission device provided in the embodiment of the present application belongs to the same inventive concept as the signal transmission method in the above-mentioned embodiment of the present application, and can be applied to the various implementations of the signal transmission method provided in the above-mentioned embodiment. In the device of signal transmission, it will not be repeated here.
  • the present application also provides a computer program medium on which a computer program is stored, and when the program is executed by a processor, implements the steps of any one of the signal transmission methods provided in the foregoing embodiments.
  • the disclosed system, apparatus and method may be implemented in other manners.
  • the apparatus embodiments described above are only illustrative.
  • the division of the modules is only a logical function division. In actual implementation, there may be other division methods.
  • multiple modules or components may be combined or Can be integrated into another system, or some features can be ignored, or not implemented.
  • the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be in electrical, mechanical or other forms.
  • modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, may be located in one place, or may be distributed to multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
  • each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically alone, or two or more modules may be integrated into one module.
  • the above-mentioned integrated modules can be implemented in the form of hardware, and can also be implemented in the form of software function modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may be stored in a computer-readable storage medium.
  • the computer program product includes one or more computer instructions.
  • the computer may be a general purpose computer, special purpose computer, computer network, or other programmable device.
  • the computer instructions may be stored in or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be downloaded from a website site, computer, server, or data center Transmission to another website site, computer, server, or data center is by wire (eg, coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.).
  • wire eg, coaxial cable, fiber optic, digital subscriber line (DSL)
  • wireless eg, infrared, wireless, microwave, etc.
  • the computer-readable storage medium may be any available medium that can be stored by a computer, or a data storage device such as a server, data center, etc., which includes one or more available media integrated.
  • the usable media may be magnetic media (eg, floppy disks, hard disks, magnetic tapes), optical media (eg, DVDs), or semiconductor media (eg, solid state disks (SSDs)), and the like.
  • the embodiments of the present application may be provided as a method, a system, or a computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
  • computer-usable storage media including, but not limited to, disk storage, CD-ROM, optical storage, etc.
  • These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions
  • the apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Software Systems (AREA)
  • Quality & Reliability (AREA)
  • Remote Sensing (AREA)
  • Computer Graphics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
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Abstract

La présente invention concerne un procédé, un dispositif et un appareil d'émission de signaux. Le procédé comprend les étapes suivantes : détermination des valeurs de mesure d'un terminal dans des positions au moment actuel et à un moment précédent dans un environnement cellulaire tridimensionnel, l'environnement cellulaire tridimensionnel étant un modèle tridimensionnel construit sur la base d'un moyen de captage par détection ; prédiction de la valeur prédite d'une position au moment suivant en fonction des valeurs de mesure, et acquisition d'un faisceau / d'informations d'ordonnancement / d'un schéma de modulation et de codage (MCS) déterminés pour une utilisation en fonction de l'environnement cellulaire tridimensionnel et de la valeur prédite de la position ; et réalisation d'une formation de faisceau en utilisant le faisceau / réalisation d'un ordonnancement en utilisant les informations d'ordonnancement / réalisation d'une modulation en utilisant le MCS pour ensuite effectuer une émission de signaux. L'utilisation du procédé selon la présente invention permet de mettre en œuvre un suivi de faisceau rapide d'un faisceau étroit dans un scénario de déplacement ou un UE est ordonnancé avec plus de précision, garantissant un faible retard de service et une transmission hautement fiable.
PCT/CN2021/110072 2020-08-10 2021-08-02 Procédé, dispositif et appareil d'émission de signaux WO2022033347A1 (fr)

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