WO2023197329A1 - Procédé et appareil de positionnement, dispositif de communication et support de stockage - Google Patents

Procédé et appareil de positionnement, dispositif de communication et support de stockage Download PDF

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Publication number
WO2023197329A1
WO2023197329A1 PCT/CN2022/087227 CN2022087227W WO2023197329A1 WO 2023197329 A1 WO2023197329 A1 WO 2023197329A1 CN 2022087227 W CN2022087227 W CN 2022087227W WO 2023197329 A1 WO2023197329 A1 WO 2023197329A1
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Prior art keywords
reference signal
bandwidth
positioning
channel
information
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PCT/CN2022/087227
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English (en)
Chinese (zh)
Inventor
牟勤
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北京小米移动软件有限公司
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Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to PCT/CN2022/087227 priority Critical patent/WO2023197329A1/fr
Priority to CN202280001226.6A priority patent/CN117242839A/zh
Publication of WO2023197329A1 publication Critical patent/WO2023197329A1/fr

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    • 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

Definitions

  • This application relates to the field of wireless communication technology but is not limited to the field of wireless communication technology, and in particular, to positioning methods, devices, communication equipment and storage media.
  • a reduced capability user equipment is designed in the New Radio (NR, New Radio) to cover the requirements of mid-range IoT equipment, referred to as NR-lite or Redcap UE.
  • NR-lite New Radio
  • Redcap UE mid-range IoT equipment
  • This type of equipment is similar to IoT equipment in Long Term Evolution (LTE).
  • 5G-based NR-lite usually needs to meet the following requirements:
  • embodiments of the present disclosure provide a positioning method, device, communication device and storage medium.
  • a positioning method which is executed by a communication device, and the method includes:
  • a positioning model is used to determine the location information of the first UE; wherein the positioning model is based on the reference signal associated with the second UE.
  • the signal is obtained by training the received information after the signal passes through the channel and the location information of the second UE.
  • the positioning model is trained separately for different UE bandwidth capabilities and/or the bandwidth of different reference signals;
  • Determining the location information of the first UE by using a positioning model based on the received information of the reference signal associated with the first UE after passing through the channel including:
  • the reception information of the reference signal associated with the first UE after passing through the channel using the UE bandwidth capability of the first UE and/or the positioning model corresponding to the bandwidth of the reference signal associated with the first UE, determine The location information of the first UE.
  • the reference signal includes: Positioning Reference Signal (PRS, Positioning Reference Signal) and/or Sounding Reference Signal (SRS, Sounding Reference Signal).
  • PRS Positioning Reference Signal
  • SRS Sounding Reference Signal
  • the received information includes: channel impulse response, and/or signal strength, and/or signal angle, and/or arrival time difference of the reference signal through different propagation paths.
  • the method in response to the communication device being a core network device, the method further includes:
  • the bandwidth of the reference signal associated with the first UE is the bandwidth of the reference signal associated with the first UE.
  • the method in response to the communication device being a base station, the method further includes:
  • Determining the location information of the first UE by using a positioning model based on the received information of the reference signal associated with the first UE after passing through the channel includes:
  • reception information after the reference signal associated with the first UE passes through the channel obtained by the base station, and/or the reception information after the reference signal associated with the first UE passes through the channel obtained by the opposite base station positioning is adopted. model to determine the location information of the first UE.
  • the method in response to the communication device being the first UE, the method further includes:
  • the receiving network side sends fourth indication information, where the fourth indication information is used to indicate the bandwidth of the reference signal associated with the first UE.
  • the reference signal associated with the first UE includes at least one of the following:
  • the reference signal sent by the base station to the first UE is a reference signal sent by the base station to the first UE
  • the reference signal sent by the first UE to the base station.
  • a positioning device wherein the device includes:
  • the processing module is configured to use a positioning model to determine the location information of the first UE based on the received information of the reference signal associated with the first user equipment UE after passing through the channel; wherein the positioning model is based on the reference signal associated with the second UE.
  • the signal is obtained by training the received information after the signal passes through the channel and the location information of the second UE.
  • the positioning model is trained separately for different UE bandwidth capabilities and/or the bandwidth of different reference signals;
  • the specific configuration of the processing module is:
  • the reception information of the reference signal associated with the first UE after passing through the channel using the UE bandwidth capability of the first UE and/or the positioning model corresponding to the bandwidth of the reference signal associated with the first UE, determine The location information of the first UE.
  • the reference signal includes: positioning reference signal PRS and/or sounding reference signal SRS.
  • the received information includes: channel impulse response, and/or signal strength, and/or signal angle, and/or arrival time difference of the reference signal through different propagation paths.
  • the device is applied to core network equipment, and the device further includes:
  • the first transceiver module is configured to receive first indication information from the base station, where the first indication information is used to indicate at least one of the following:
  • the bandwidth of the reference signal associated with the first UE is the bandwidth of the reference signal associated with the first UE.
  • the device is applied to a base station, and the device further includes:
  • the second transceiver module is configured to receive second indication information from the opposite end base station, wherein the second indication information is used to indicate the reception of the reference signal associated with the first UE obtained by the opposite end base station after passing through the channel. information;
  • the specific configuration of the processing module is:
  • reception information after the reference signal associated with the first UE passes through the channel obtained by the base station, and/or the reception information after the reference signal associated with the first UE passes through the channel obtained by the opposite base station positioning is adopted. model to determine the location information of the first UE.
  • the device is applied to the first UE, and the device further includes:
  • a third transceiver module configured to send third indication information indicating the UE bandwidth capability of the first UE to the network side;
  • the third transceiver module is further configured to receive fourth indication information sent by the network side, where the fourth indication information is used to indicate the bandwidth of the reference signal associated with the first UE.
  • the reference signal associated with the first UE includes at least one of the following:
  • the reference signal sent by the base station to the first UE is a reference signal sent by the base station to the first UE
  • the reference signal sent by the first UE to the base station.
  • a communication equipment device including a processor, a memory, and an executable program stored on the memory and capable of being run by the processor, wherein, the processor runs the executable program.
  • the program When the program is executed, the steps of the positioning method described in the first aspect are performed.
  • a storage medium on which an executable program is stored, wherein when the executable program is executed by a processor, the steps of the positioning method described in the first aspect are implemented.
  • Positioning methods, devices, communication devices and storage media provided by embodiments of the present disclosure.
  • the communication device uses a positioning model to determine the location information of the first UE based on the received information after the reference signal associated with the first UE passes through the channel; wherein the positioning model is based on the reference signal associated with the second UE after passing through the channel.
  • the received information and the location information of the second UE are obtained by training. In this way, through the positioning model, the location information of the UE is determined based on the received information of the reference signal associated with the UE.
  • a positioning method is provided to realize positioning of UE.
  • Figure 1 is a schematic structural diagram of a wireless communication system according to an exemplary embodiment
  • Figure 2 is a schematic flowchart of a positioning method according to an exemplary embodiment
  • Figure 3 is a schematic flowchart of another positioning method according to an exemplary embodiment
  • Figure 4 is a schematic flowchart of yet another positioning method according to an exemplary embodiment
  • Figure 5 is a schematic flowchart of yet another positioning method according to an exemplary embodiment
  • Figure 6 is a block diagram of a positioning device according to an exemplary embodiment
  • Figure 7 is a block diagram of another positioning device according to an exemplary embodiment
  • Figure 8 is a block diagram of yet another positioning device according to an exemplary embodiment
  • Figure 9 is a block diagram of yet another positioning device according to an exemplary embodiment.
  • Figure 10 is a block diagram of a device for positioning according to an exemplary embodiment.
  • first, second, third, etc. may be used to describe various information in the embodiments of the present disclosure, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be called second information, and similarly, the second information may also be called first information.
  • word “if” as used herein may be interpreted as "when” or “when” or “in response to determining.”
  • FIG. 1 shows a schematic structural diagram of a wireless communication system provided by an embodiment of the present disclosure.
  • the wireless communication system is a communication system based on cellular mobile communication technology.
  • the wireless communication system may include several terminals 11 and several base stations 12 .
  • the terminal 11 may be a device that provides voice and/or data connectivity to the user.
  • Terminal 11 can communicate with one or more core networks via a Radio Access Network (RAN).
  • RAN Radio Access Network
  • Terminal 11 can be an Internet of Things terminal, such as a sensor device, a mobile phone (or "cellular" phone) and a device with The computer of the Internet of Things terminal, for example, can be a fixed, portable, pocket-sized, handheld, computer-built-in or vehicle-mounted device.
  • station STA
  • subscriber unit subscriber unit
  • subscriber station subscriber station
  • mobile station mobile station
  • remote station remote station
  • access terminal remote terminal
  • user terminal user agent, user device, or user equipment (UE).
  • UE user equipment
  • the terminal 11 may be a device of an unmanned aerial vehicle.
  • the terminal 11 may also be a vehicle-mounted device, for example, it may be an on-board computer with a wireless communication function, or a wireless communication device connected to an external on-board computer.
  • the terminal 11 may also be a roadside device, for example, it may be a streetlight, a signal light or other roadside device with wireless communication function.
  • the base station 12 may be a network-side device in a wireless communication system.
  • the wireless communication system can be the 4th generation mobile communication technology (the 4th generation mobile communication, 4G) system, also known as the Long Term Evolution (LTE) system; or the wireless communication system can also be a 5G system, Also called new radio (NR) system or 5G NR system.
  • the wireless communication system may also be a next-generation system of the 5G system.
  • the access network in the 5G system can be called NG-RAN (New Generation-Radio Access Network).
  • MTC system New Generation-Radio Access Network
  • the base station 12 may be an evolved base station (eNB) used in the 4G system.
  • the base station 12 may also be a base station (gNB) that adopts a centralized distributed architecture in the 5G system.
  • eNB evolved base station
  • gNB base station
  • the base station 12 adopts a centralized distributed architecture it usually includes a centralized unit (central unit, CU) and at least two distributed units (distributed unit, DU).
  • the centralized unit is equipped with a protocol stack including the Packet Data Convergence Protocol (PDCP) layer, the Radio Link Control protocol (Radio Link Control, RLC) layer, and the Media Access Control (Media Access Control, MAC) layer; distributed
  • PDCP Packet Data Convergence Protocol
  • RLC Radio Link Control
  • MAC Media Access Control
  • the unit is provided with a physical (Physical, PHY) layer protocol stack, and the embodiment of the present disclosure does not limit the specific implementation of the base station 12.
  • a wireless connection can be established between the base station 12 and the terminal 11 through a wireless air interface.
  • the wireless air interface is a wireless air interface based on the fourth generation mobile communication network technology (4G) standard; or the wireless air interface is a wireless air interface based on the fifth generation mobile communication network technology (5G) standard, such as
  • the wireless air interface is a new air interface; alternatively, the wireless air interface may also be a wireless air interface based on the next generation mobile communication network technology standard of 5G.
  • an E2E (End to End) connection can also be established between terminals 11.
  • V2V vehicle to vehicle, vehicle to vehicle
  • V2I vehicle to infrastructure, vehicle to roadside equipment
  • V2P vehicle to pedestrian, vehicle to person
  • the above-mentioned wireless communication system may also include a network management device 13.
  • the network management device 13 may be a core network device in a wireless communication system.
  • the network management device 13 may be a mobility management entity (Mobility Management Entity) in an evolved packet core network (Evolved Packet Core, EPC). MME).
  • the network management device can also be other core network devices, such as serving gateway (Serving GateWay, SGW), public data network gateway (Public Data Network GateWay, PGW), policy and charging rules functional unit (Policy and Charging Rules) Function, PCRF) or Home Subscriber Server (HSS), etc.
  • serving gateway Serving GateWay, SGW
  • public data network gateway Public Data Network GateWay, PGW
  • Policy and Charging Rules Policy and Charging Rules
  • PCRF Policy and Charging Rules
  • HSS Home Subscriber Server
  • NR New Radio
  • multiple methods can be used to achieve positioning, such as: NR enhanced cell ID (E-CID, Enhanced Cell-ID positioning method), positioning method NR downlink arrival time difference positioning method (DL -TDOA, DownLink-Time Difference Of Arrival), NR uplink time difference of arrival (UL-TDOA, UpLink-Time Difference Of Arrival) positioning method, NR multi-cell round trip time (Multi-RTT, Multiplecell-Round Trip Time) positioning method, NR downlink historical angle positioning method, NR uplink arrival angle positioning method, etc.
  • E-CID Enhanced Cell ID
  • DL -TDOA DownLink-Time Difference Of Arrival
  • UL-TDOA UpLink-Time Difference Of Arrival
  • Multi-RTT Multiplecell-Round Trip Time
  • the above positioning method relies on the UE's measurement of the positioning reference signal (PRS), such as: measuring the arrival time difference, measuring the reference signal receiving power (RSRP, Reference Signal Receiving Power) or relying on the UE to send the corresponding reference symbol and measuring the arrival at the base station side. angle or signal strength, etc.
  • PRS positioning reference signal
  • positioning accuracy is related to the bandwidth occupied by PRS.
  • the wider the bandwidth occupied by PRS the higher the positioning accuracy under the same circumstances, and conversely, the lower the positioning accuracy.
  • this exemplary embodiment provides a positioning method, which can be executed by a communication device of a cellular mobile communication system, including:
  • Step 201 Based on the received information of the reference signal associated with the first UE after passing through the channel, use a positioning model to determine the location information of the first UE; wherein, the positioning model is based on the reference signal associated with the second UE after passing through the channel.
  • the received information and the location information of the second UE are trained.
  • a communication network may include multiple different types of UEs, in all embodiments of the present disclosure, positioning models need to be trained separately for different types of UEs.
  • Different types of UEs mean that the UEs support different frequency bandwidths (that is, the UEs have different bandwidth capabilities).
  • the communication network may include: eRedCap UE supporting 5MHz, RedCap UE supporting 20MHz, and ordinary UE.
  • ordinary UEs and RedCap UEs must support the 5MHz operating frequency bandwidth; therefore, the data of ordinary UEs and RedCap UEs can be used as training samples to train the positioning model of eRedCap UEs with a 5MHz operating frequency bandwidth. Therefore, the operating frequency bandwidth of the second UE is greater than or equal to the first UE.
  • the second UE can use the reception information and location information in the same operating frequency bandwidth as the first UE as training samples (also called training data) for training; or the second UE can use the same reference signal as the first UE.
  • the reception information and location information corresponding to the configured bandwidth are used as training samples for training.
  • the positioning model corresponding to the first UE can be obtained by using the data of the second UE as a training sample.
  • the solution of using training samples to train to obtain the positioning model in the embodiment of the present disclosure can be executed by the first UE, the second UE, or the network side device, and is not limited here.
  • the reference signal configuration bandwidth refers to the bandwidth of the transmitted reference signal.
  • a UE that supports 20MHz can also use a reference signal with a bandwidth of 5MHz.
  • the reception information and position information corresponding to the reference signal configuration bandwidth can be used as training samples corresponding to the bandwidth of the 5MHz bandwidth reference signal for training.
  • the method in this example can be executed by communication equipment in the communication system, such as core network equipment, base station or UE in the cellular mobile communication system.
  • the positioning model can be deployed in communication equipment in the communication system, such as core network equipment, base stations or UEs in the cellular mobile communication system.
  • the communication device that executes the method of this embodiment may be the same device or a different device from the communication device that deploys the positioning model.
  • the communication device executing the method may call the positioning model from the communication device deploying the positioning model.
  • the reference signal may be a wireless reference signal specifically used for positioning or other wireless reference signals.
  • the reference signal associated with the first UE includes at least one of the following:
  • the reference signal sent by the base station to the first UE is a reference signal sent by the base station to the first UE
  • the reference signal sent by the first UE to the base station.
  • the received information after the reference signal passes through the channel may include: parameter changes of the reference signal after passing through the channel and/or specific transmission attributes of the reference signal during channel transmission, etc.
  • the parameter changes of the reference signal after passing through the channel may include: changes in signal strength, changes in frequency, etc., changes in signal angle, etc.
  • the channel may include a physical transmission space that is a reference signal.
  • the channel will have an effect on the passing signal, causing changes in signal parameters.
  • Different channels have different effects.
  • the reference signal When the reference signal is transmitted in the channel, it will be affected by the transmission distance and the environment in the channel (such as obstacles, etc.). Therefore, depending on the location of the UE, the effect of the channel on the reference signal is also different.
  • Specific transmission attributes of signals during channel transmission they can include signal transmission duration, transmission attenuation, etc.
  • the specific transmission attributes of the signal after passing through the channel are different.
  • the reception information of the reference signal after passing through the channel may be determined by a network side device such as a base station or by a UE.
  • the reception information of the reference signal after passing through the channel can be determined based on the reference signal sent by the base station and the reference signal received by the UE.
  • the reception information after the reference signal passes through the channel can also be determined based on the reference signal sent by the UE and the reference signal received by the base station.
  • the base station sends the reference signal through the second parameter
  • the UE can send the first parameter of the reference signal received from the base station to the base station, and the base station determines the parameter changes of the reference signal after passing through the channel based on the second parameter and the first parameter.
  • the UE sends the reference signal through the fourth parameter
  • the base station can send the received third parameter from the UE reference signal to the UE, and the UE determines the parameters of the reference signal after passing through the channel based on the fourth parameter and the third parameter.
  • the received information after the reference signal passes through the channel may include: parameter changes of the reference signal after passing through the channel.
  • the location information of the UE may include geographical location information. Geographical location information may include: longitude and latitude, etc.
  • Geographical location information may include: longitude and latitude, etc.
  • the location information of the UE may also be relative location information relative to a specific reference point (such as a base station). Relative position may include: distance and/or orientation, etc.
  • the second UE may be a UE whose location information is known. There may be multiple second UEs. The location information of different second UEs may be different or the same. The first UE and the second UE may be the same UE or different UEs.
  • the second UE can receive a reference signal from a base station, and then obtain the reception information of a reference signal; the second UE can receive multiple reference signals sent by a base station or reference signals sent by multiple base stations respectively, and then obtain multiple reference signals.
  • the reference signals respectively correspond to the received information.
  • the second UE can send a reference signal to one base station to obtain reception information of one reference signal; the second UE can send multiple reference signals to one base station or send reference signals to multiple base stations respectively to obtain multiple reference signals.
  • the reference signals respectively correspond to the received information.
  • the location information of the second UE and the received information after one or more reference signals pass through the channel when the second UE is in the location information can be used as training data for a set of positioning models.
  • Second UE training data at different locations can be collected, a training data set can be established, and the positioning model can be trained.
  • the received information after the reference signal associated with the second UE passes through the channel when it is in one position information can be used as the input of positioning model training, and the position information can be used as the output of positioning model training to train the positioning model.
  • a set of training data for a positioning model may include: location information of the second UE and reception information of a reference signal after passing through the channel when the second UE is in the location information. Identification information can also be used in the training data to identify the base station corresponding to the reference signal, etc.
  • the positioning model can be a machine learning model.
  • Machine learning models can include convolutional neural networks and other deep learning models.
  • Model training can be performed in communication devices or in other electronic devices different from communication devices. After the positioning model is trained, it can be deployed in the communication device and used to determine the location information of the first UE.
  • the positioning model that has been trained can be used to determine the location information of the first UE based on the received information after the reference signal associated with the first UE passes through the channel.
  • the reference signal associated with the first UE and the reference signal used for training the positioning model may be the same type of reference signal. In this way, using inference input that is close to the positioning model training data can improve the accuracy of the positioning model in determining location information and improve positioning accuracy.
  • the location information of the UE is determined based on the received information of the reference signal associated with the UE.
  • a positioning method is provided to realize positioning of UE.
  • the positioning model is trained separately for different UE bandwidth capabilities and/or the bandwidth of different reference signals;
  • Determining the location information of the first UE by using a positioning model based on the received information of the reference signal associated with the first UE after passing through the channel including:
  • the reception information of the reference signal associated with the first UE after passing through the channel using the UE bandwidth capability of the first UE and/or the positioning model corresponding to the bandwidth of the reference signal associated with the first UE, determine The location information of the first UE.
  • the positioning model may be trained based on different UE bandwidth capabilities as training data. Positioning models corresponding to the UE bandwidth capabilities can be trained separately for different UE bandwidth capabilities.
  • a positioning model obtained by training the UE bandwidth capability of the first UE may be selected. For UEs with different UE bandwidth capabilities, the corresponding relationship between the received information and the location information after the reference signal passes through the channel is different. Therefore, using a positioning model corresponding to the UE bandwidth capability of the first UE can further improve the positioning accuracy.
  • the UE bandwidth capability of the first UE is the same as the UE bandwidth capability of the second UE. That is, the positioning model used to determine the location information of the first UE is trained using the training data of the second UE that has the same UE bandwidth capability as the first UE.
  • positioning models can be trained separately for 5MHz and 20MHz UE bandwidth capabilities.
  • the location information of the second UE with a UE bandwidth capacity of 5MHz and the reception information of the reference signal after passing through the channel can be collected, a training data set can be established, and a positioning model corresponding to the UE bandwidth capacity of 5MHz can be trained.
  • a similar method is used to train the positioning model corresponding to the 20MHz UE bandwidth capability.
  • the UE bandwidth capability is 5MHz
  • select the positioning model corresponding to the 5MHz UE bandwidth capability to determine the location information of the first UE.
  • the working bandwidth of the first UE is the same as the working bandwidth of the second UE. That is, the positioning model used to determine the location information of the first UE is trained using the training data of the second UE that has the same operating bandwidth as the first UE.
  • the UE bandwidth capability of the UE refers to the maximum bandwidth that the UE can operate.
  • the operating bandwidth of the UE is less than or equal to the UE bandwidth capability.
  • the positioning model used to determine the location information of the first UE operating in the first operating bandwidth is trained using the training data of the second UE operating in the second operating bandwidth.
  • the first working bandwidth is equal to the second working bandwidth.
  • the UE bandwidth capability of the first UE is 5 MHz, and the first UE currently operates in a 5 MHz operating bandwidth.
  • the UE bandwidth capability of the second UE is 20MHz, and the second UE can also work in a working bandwidth of 5MHz.
  • the data (reception information and location information) of the second UE under the 5 MHz operating bandwidth can be used as training data corresponding to the 5 MHz operating bandwidth.
  • the positioning model trained based on this data can be used to determine the location information of the first UE operating in a 5 MHz operating bandwidth.
  • the positioning model trained based on the data can also be used to determine the position information of the first UE whose UE bandwidth capability is greater than 5 MHz and operates in a 5 MHz operating bandwidth. In this way, for a specific working bandwidth, a corresponding positioning model is adopted to improve the positioning accuracy of the UE in a specific working bandwidth scenario.
  • the positioning model can also be trained based on the bandwidth of different reference signals as training data. That is, the positioning model corresponding to the bandwidth of the reference signal can be trained separately for different bandwidths of the reference signal.
  • a positioning model obtained by training the bandwidth of the reference signal associated with the first UE may be selected. For different reference signal bandwidths, the corresponding relationship between the received information and the location information after the reference signal passes through the channel is different. Therefore, using a positioning model corresponding to the bandwidth of the first UE-associated reference signal can further improve positioning accuracy.
  • the bandwidth of the reference signal may be the configured bandwidth of the reference signal.
  • the network side device may configure the bandwidth of the reference signal for the UE based on the UE bandwidth capability of the UE. In a possible implementation, the bandwidth of the reference signal configured by the network side device for the UE is less than or equal to the UE bandwidth capability of the UE.
  • the bandwidth of the reference signal associated with the first UE is the same as the bandwidth of the reference signal associated with the second UE. That is, the positioning model used to determine the location information of the first UE is trained using the received information of the reference signal associated with the second UE that has the same bandwidth as the reference signal associated with the first UE as training data.
  • the positioning model can be trained separately for the bandwidth of the reference signal of 5 MHz and 20 MHz.
  • the location information of the second UE and the reception information of the reference signal with a reference signal bandwidth of 5 MHz can be collected, a training data set can be established, and a positioning model corresponding to the 5 MHz reference signal bandwidth can be trained.
  • a similar method is used to train the positioning model of the bandwidth corresponding to the 20MHz reference signal.
  • a positioning model corresponding to the bandwidth of the 5 MHz reference signal is selected to determine the location information of the first UE.
  • the second UE that supports the 20MHz operating frequency bandwidth may also use the 5MHz reference signal bandwidth; at this time, the data can be used as 5MHz training data.
  • the positioning model can also be trained using different reference signal bandwidths and different UE bandwidth capabilities as training data. For various combinations of different reference signal bandwidths and different UE bandwidth capabilities, the positioning model corresponding to each combination can be trained separately. When determining the location information of the first UE, a positioning model trained with the same combination of the bandwidth of the reference signal associated with the first UE and the UE bandwidth capability of the first UE may be selected. For different reference signal bandwidths and UE bandwidth capabilities, the corresponding relationship between the received information and the location information after the reference signal passes through the channel is different. Therefore, using the positioning model corresponding to the bandwidth of the first UE-associated reference signal and the UE bandwidth capability can further improve positioning. Accuracy.
  • the UE bandwidth capability of the first UE is the same as the UE bandwidth capability of the second UE, and the bandwidth of the reference signal associated with the first UE is the same as the bandwidth of the reference signal associated with the second UE. That is: the positioning model used to determine the location information of the first UE is trained using the reception information of the reference signal associated with the second UE that has the same bandwidth as the reference signal associated with the first UE as training data, and the second UE's The UE bandwidth capability is the same as the UE bandwidth capability of the first UE.
  • positioning model A can be trained for a combination of a reference signal bandwidth of 5 MHz and a UE bandwidth capability of 5 MHz.
  • Positioning model B is trained for the combination of the reference signal bandwidth of 5MHz and the UE bandwidth capability of 20MHz.
  • the location information of the second UE with 5MHz UE bandwidth capability and the reception information of the 5MHz reference signal can be used to establish a training data set and train the positioning model A corresponding to the combination of the bandwidth of the 5MHz reference signal and the 5MHz UE bandwidth capability.
  • a similar method is used to train the positioning model B for the bandwidth of the combined reference signal with the bandwidth of the 5MHz reference signal and the 20MHz UE bandwidth capability.
  • the positioning model corresponding to the combination of the bandwidth of the 5MHz reference signal and the UE bandwidth capability of 5MHz is selected to determine the location information of the first UE.
  • the 20MHz UE bandwidth capability refers to supporting UEs working under the 20MHz bandwidth.
  • the positioning model for the UE bandwidth capability and/or reference signal bandwidth is improved.
  • the positioning accuracy of UE in the scenario is improved.
  • the corresponding positioning model may be determined based on the updated UE bandwidth capability of the first UE and/or the updated reference signal bandwidth.
  • the reference signal includes: positioning reference signal PRS and/or sounding reference signal SRS.
  • the received information after the reference signal passes through the channel may include: parameter changes of the positioning reference signal PRS after passing through the channel, or parameter changes of the sounding reference signal SRS after passing through the channel.
  • PRS and/or SRS can be uniformly used. Reduce the problem of reduced positioning accuracy caused by the use of different reference signals for positioning model training and positioning model application.
  • PRS is usually sent by the base station to the UE
  • SRS is usually sent by the UE to the base station.
  • the received information includes at least one of the following: channel impulse response, signal strength, signal angle, and arrival time difference of the reference signal through different propagation paths.
  • the channel impulse response, and/or signal strength, and/or signal angle, and/or arrival time difference of the reference signal through different propagation paths will be different at different locations of the UE, that is, The channel impulse response, and/or signal strength, and/or signal angle, and/or arrival time difference of the reference signal through different propagation paths are correlated with the UE's location information.
  • the different propagation paths that the reference signal passes through may include different channels that the reference signal passes through, where the different channels may be channels between one UE and different base stations. Different propagation paths passed by the reference signal may also include: different propagation environments within the same channel.
  • the received information can be used as the input of the positioning model, and the position information of the UE can be determined through the positioning model.
  • the channel response may include: channel impulse response.
  • the channel impulse response can be the response output signal at the channel output end when a unit pulse signal is input to the channel. Because any input signal (i.e., the reference signal sent by the base station) can be decomposed into a linear superposition of unit pulse signals, the output signal (i.e., the reference signal received by the UE) can also be represented by a linear superposition of impulse responses.
  • the channel impulse response may include: a channel impulse response of a reference signal sent by the base station to the UE, and/or a channel impulse response of the reference signal sent by the UE to the base station.
  • the reference signal received by the UE can be expressed by expression (1):
  • Y represents the reference signal received by the UE
  • X represents the reference signal sent by the base station
  • H and N represent the channel matrix and additive Gaussian white noise respectively.
  • the estimated channel matrix can be expressed by expression (2):
  • the channel frequency response can be obtained as H(f).
  • H(f) undergoes inverse fast Fourier transform (IFFT) to obtain the channel impulse response.
  • IFFT inverse fast Fourier transform
  • the training data set of the positioning model includes the channel impulse responses of the second UE relative to multiple base stations under a certain PRS bandwidth, and the location information, such as coordinates, of the second UE corresponding to each channel impulse response.
  • the positioning model can be trained and applied under the 20MHz bandwidth or 5MHz bandwidth supported by RedCap UE.
  • the PRS channel impulse response of the second UE relative to multiple base stations can be used as a training input, and the coordinates of the second UE corresponding to the PRS channel impulse response can be used as a training output to train the positioning model.
  • the channel impulse response can comprehensively reflect the effect of the channel on the reference signal. Therefore, using the channel impulse response as training data and inference data for the positioning model can improve positioning accuracy.
  • this exemplary embodiment provides a positioning method.
  • the method can be executed by a communication device of a cellular mobile communication system.
  • the communication device is a core network device.
  • the method includes:
  • Step 301 Receive first indication information from the base station, where the first indication information is used to indicate at least one of the following:
  • the bandwidth of the reference signal associated with the first UE is the bandwidth of the reference signal associated with the first UE.
  • step 301 can be implemented alone or in combination with step 201.
  • the positioning model can be deployed in the core network device.
  • the positioning model can be deployed on the positioning server network element of the core network.
  • the base station may indicate to the core network device the reception information of the reference signal associated with the first UE after passing through the channel through the first indication information, and the core network may use a positioning model to determine the location information of the first UE.
  • the reception information of the reference signal associated with the first UE after passing through the channel may include: a plurality of reception information obtained after passing through the channel of multiple reference signals between one or more different base stations and the first UE.
  • the base station may also indicate the UE bandwidth capability of the first UE and/or the bandwidth of the reference signal associated with the first UE to the core network device through the first indication information.
  • the core network device determines the UE bandwidth capability of the first UE and/or the bandwidth of the first UE based on the UE bandwidth capability of the first UE indicated by the first indication information and/or the bandwidth of the reference signal associated with the first UE.
  • the bandwidth of the associated reference signal corresponds to the positioning model. Positioning accuracy can be improved by determining the positioning model corresponding to the UE bandwidth capability of the first UE and/or the bandwidth of the reference signal associated with the first UE.
  • the core network device may also be based on the UE bandwidth capability of the first UE obtained from the first UE when the first UE accesses or when the first UE is in the connected state and/or the core network device is the first UE.
  • the bandwidth of the configured reference signal determines the corresponding positioning model. .
  • this exemplary embodiment provides a positioning method.
  • the method can be executed by a communication device of a cellular mobile communication system.
  • the communication device is a base station.
  • the method includes:
  • Step 401 Receive second indication information from the opposite base station, where the second indication information is used to indicate the reception information of the reference signal associated with the first UE obtained by the opposite base station after passing through the channel;
  • Determining the location information of the first UE by using a positioning model based on the received information of the reference signal associated with the first UE after passing through the channel includes:
  • reception information after the reference signal associated with the first UE passes through the channel obtained by the base station, and/or the reception information after the reference signal associated with the first UE passes through the channel obtained by the opposite base station positioning is adopted. model to determine the location information of the first UE.
  • step 401 can be implemented alone or in combination with step 201.
  • the reception information of reference signals associated with the first UE may include: reception information respectively corresponding to each reference signal between multiple different base stations and the first UE.
  • the base station where the positioning model is located can receive reception information respectively corresponding to reference signals between other base stations and the first UE.
  • the positioning model can determine the position information of the first UE relative to each base station, such as the relative position relationship, based on the received information respectively corresponding to the reference signals between each base station and the first UE.
  • the base station can determine the coordinate position of the first UE by using triangulation positioning method or other methods according to the position information of the first UE relative to each base station, to further improve the positioning accuracy.
  • the base station may also obtain the UE bandwidth capability of the first UE from the first UE when the first UE accesses or when the first UE is in the connected state, and/or the network side configures the first UE for the first UE.
  • the bandwidth of the reference signal determines the UE bandwidth capability of the first UE, and/or the positioning model corresponding to the bandwidth of the reference signal configured for the first UE.
  • this exemplary embodiment provides a positioning method.
  • the method can be executed by a communication device of a cellular mobile communication system.
  • the communication device is a first UE.
  • the method includes:
  • Step 501 Send third indication information indicating the UE bandwidth capability of the first UE to the network side;
  • Step 502 Receive fourth indication information sent by the network side, where the fourth indication information is used to indicate the bandwidth of the reference signal associated with the first UE.
  • steps 501 and/or 501 can be implemented separately or in combination with step 201.
  • the positioning model may be deployed in the first UE.
  • the network side may include but is not limited to: the core network equipment side or the base station side.
  • the first UE may determine the positioning model based on the first UE's UE bandwidth capabilities.
  • the first UE may also determine the positioning model based on at least the bandwidth of the associated reference signal. For example: the first UE may determine the positioning model based on the UE bandwidth capability of the first UE and the bandwidth of the reference signal associated with the first UE.
  • the first UE may use the third indication information to report its UE bandwidth capability to the network side.
  • the network side may include at least one of the following: core network equipment and base station.
  • the network side transmitter may configure the bandwidth of the applicable reference signal for the first UE based on the UE bandwidth capability of the first UE. In this way, the first UE can determine the positioning model based on at least the bandwidth of the reference signal associated with the first UE, so as to improve the applicability of the positioning model and improve the positioning accuracy.
  • This embodiment performs positioning processing based on an artificial intelligence (AI) model.
  • the positioning process can be divided into two important stages. The first stage is the model training/generation stage, and the second stage is the model inference stage, that is, applying the trained/generated model to determine the positioning information of the terminal. Specifically:
  • the first stage model training/generation.
  • the model training data set includes the impulse response of the terminal relative to multiple base stations under a certain positioning reference signal (such as PRS) configuration bandwidth, as well as the coordinates of the terminal. For example, train under the 20MHz bandwidth or 5MHz bandwidth supported by RedCap UE.
  • the configured bandwidth of the reference signal may be the bandwidth through which the reference signal is transmitted.
  • the training input of the model is the PRS channel impulse response of the terminal relative to multiple base stations, and the training output is the coordinates of the terminal to train the model.
  • the model can be deployed on the positioning server side.
  • the base station transmits the channel impulse response generated by the positioning signal and/or the bandwidth of the positioning signal to the positioning server.
  • the positioning server uses a corresponding model to perform inference based on the bandwidth of the positioning reference signal to obtain the position coordinates of the terminal.
  • the model can be deployed on the base station side.
  • the adjacent base station transmits the channel impulse response generated by the positioning signal and/or the bandwidth of the positioning signal to the base station.
  • the base station uses the corresponding model to perform inference based on the bandwidth of the positioning reference signal to obtain the position coordinates of the terminal.
  • the model can be deployed on the terminal side.
  • the network and terminal need to interact with the terminal's maximum bandwidth capability.
  • the network determines the PRS bandwidth based on the terminal's maximum bandwidth capability, and the terminal side downloads the corresponding model based on the PRS bandwidth.
  • the terminal uses the corresponding model to perform inference based on the bandwidth of the positioning reference signal to obtain the position coordinates of the terminal.
  • the network can adjust the bandwidth configuration of the PRS, and the terminal side also needs to adapt to change the corresponding model configuration.
  • An embodiment of the present invention also provides a positioning device, as shown in Figure 6, which is used in communication equipment for cellular mobile wireless communications, wherein the device 100 includes:
  • the processing module 110 is configured to use a positioning model to determine the location information of the first UE based on the received information of the reference signal associated with the first user equipment UE after passing through the channel; wherein the positioning model is based on the received information of the reference signal associated with the second UE.
  • the reference signal is obtained by training the received information after passing through the channel and the location information of the second UE.
  • the positioning model is trained separately for different UE bandwidth capabilities and/or the bandwidth of different reference signals;
  • the specific configuration of the processing module is:
  • the reception information of the reference signal associated with the first UE after passing through the channel using the UE bandwidth capability of the first UE and/or the positioning model corresponding to the bandwidth of the reference signal associated with the first UE, determine The location information of the first UE.
  • the reference signal includes: positioning reference signal PRS and/or sounding reference signal SRS.
  • the received information includes: channel impulse response, and/or signal strength, and/or signal angle, and/or arrival time difference of the reference signal through different propagation paths.
  • An embodiment of the present invention also provides a positioning device, as shown in Figure 7, applied in core network equipment of cellular mobile wireless communications, wherein the device 100 includes:
  • the first transceiver module 120 is configured to receive first indication information from the base station, where the first indication information is used to indicate at least one of the following:
  • the bandwidth of the reference signal associated with the first UE is the bandwidth of the reference signal associated with the first UE.
  • An embodiment of the present invention also provides a positioning device, as shown in Figure 8, applied in a base station of cellular mobile wireless communication, wherein the device 100 includes:
  • the second transceiver module 130 is configured to receive second indication information from the opposite base station, where the second indication information is used to indicate the reference signal associated with the first UE obtained by the opposite base station after passing through the channel. BB;
  • the processing module 110 is specifically configured as:
  • reception information after the reference signal associated with the first UE passes through the channel obtained by the base station, and/or the reception information after the reference signal associated with the first UE passes through the channel obtained by the opposite base station positioning is adopted. model to determine the location information of the first UE.
  • An embodiment of the present invention also provides a positioning device, as shown in Figure 9, applied to the first UE in cellular mobile wireless communications, wherein the device 100 includes:
  • the third transceiver module 140 is configured to send third indication information indicating the UE bandwidth capability of the first UE to the network side;
  • the third transceiver module 140 is further configured to receive fourth indication information sent by the network side, where the fourth indication information is used to indicate the bandwidth of the reference signal associated with the first UE.
  • the reference signal associated with the first UE includes at least one of the following:
  • the reference signal sent by the base station to the first UE is a reference signal sent by the base station to the first UE
  • the reference signal sent by the first UE to the base station.
  • the processing module 110, the first transceiver module 120, the second transceiver module 130, the third transceiver module 140, etc. may be processed by one or more central processing units (CPUs, Central Processing Units), graphics processors ( GPU, Graphics Processing Unit), baseband processor (BP, Baseband Processor), application specific integrated circuit (ASIC, Application Specific Integrated Circuit), DSP, programmable logic device (PLD, Programmable Logic Device), complex programmable logic device (CPLD, Complex Programmable Logic Device), Field-Programmable Gate Array (FPGA, Field-Programmable Gate Array), general-purpose processor, controller, microcontroller (MCU, Micro Controller Unit), microprocessor (Microprocessor), or others Electronic components are implemented for performing the aforementioned method.
  • CPUs Central Processing Units
  • GPU Graphics Processing Unit
  • BP Baseband Processor
  • ASIC Application Specific Integrated Circuit
  • DSP digital signal processor
  • PLD programmable logic device
  • CPLD Complex Programmable Logic Device
  • FPGA Field-Pro
  • FIG. 10 is a block diagram of a device 3000 for positioning according to an exemplary embodiment.
  • the device 3000 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.
  • device 3000 may include one or more of the following components: processing component 3002, memory 3004, power supply component 3006, multimedia component 3008, audio component 3010, input/output (I/O) interface 3012, sensor component 3014, and Communication Component 3016.
  • Processing component 3002 generally controls the overall operations of device 3000, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 3002 may include one or more processors 3020 to execute instructions to complete all or part of the steps of the above method.
  • processing component 3002 may include one or more modules that facilitate interaction between processing component 3002 and other components.
  • processing component 3002 may include a multimedia module to facilitate interaction between multimedia component 3008 and processing component 3002.
  • Memory 3004 is configured to store various types of data to support operations at device 3000. Examples of such data include instructions for any application or method operating on device 3000, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 3004 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Power supply component 3006 provides power to the various components of device 3000.
  • Power supply components 3006 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 3000 .
  • Multimedia component 3008 includes a screen that provides an output interface between device 3000 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. A touch sensor can not only sense the boundaries of a touch or swipe action, but also detect the duration and pressure associated with the touch or swipe action.
  • multimedia component 3008 includes a front-facing camera and/or a rear-facing camera.
  • the front camera and/or the rear camera may receive external multimedia data.
  • Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.
  • Audio component 3010 is configured to output and/or input audio signals.
  • audio component 3010 includes a microphone (MIC) configured to receive external audio signals when device 3000 is in operating modes, such as call mode, recording mode, and speech recognition mode. The received audio signals may be further stored in memory 3004 or sent via communications component 3016 .
  • audio component 3010 also includes a speaker for outputting audio signals.
  • the I/O interface 3012 provides an interface between the processing component 3002 and a peripheral interface module.
  • the peripheral interface module may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.
  • Sensor component 3014 includes one or more sensors for providing various aspects of status assessment for device 3000 .
  • the sensor component 3014 can detect the open/closed state of the device 3000, the relative positioning of components, such as the display and keypad of the device 3000, the sensor component 3014 can also detect the position change of the device 3000 or a component of the device 3000, the user The presence or absence of contact with device 3000, device 3000 orientation or acceleration/deceleration, and temperature changes of device 3000.
  • Sensor assembly 3014 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 3014 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 3014 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • the communication component 3016 is configured to facilitate wired or wireless communication between the apparatus 3000 and other devices.
  • Device 3000 may access a wireless network based on a communication standard, such as Wi-Fi, 2G or 3G, or a combination thereof.
  • the communication component 3016 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • communications component 3016 also includes a near field communications (NFC) module to facilitate short-range communications.
  • NFC near field communications
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • apparatus 3000 may be configured by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable Gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented for executing the above method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable Gate array
  • controller microcontroller, microprocessor or other electronic components are implemented for executing the above method.
  • non-transitory computer-readable storage medium including instructions, such as a memory 3004 including instructions, which can be executed by the processor 3020 of the device 3000 to complete the above method is also provided.
  • non-transitory computer-readable storage media may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Des modes de réalisation de la présente invention concernent un procédé et un appareil de positionnement, un dispositif de communication et un support de stockage. Le dispositif de communication détermine, selon des informations de réception après qu'un signal de référence associé à un premier UE passe à travers un canal, des informations de position du premier UE à l'aide d'un modèle de positionnement, le modèle de positionnement étant obtenu par formation selon des informations de réception après qu'un signal de référence associé à un second UE passe à travers le canal et des informations de position du second UE.
PCT/CN2022/087227 2022-04-15 2022-04-15 Procédé et appareil de positionnement, dispositif de communication et support de stockage WO2023197329A1 (fr)

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CN202280001226.6A CN117242839A (zh) 2022-04-15 2022-04-15 定位方法、装置、通信设备和存储介质

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CN108769969A (zh) * 2018-06-20 2018-11-06 吉林大学 一种基于深度置信网络的rfid室内定位方法
US20210160812A1 (en) * 2019-11-21 2021-05-27 Qualcomm Incorporated Ue-based positioning
US20220070028A1 (en) * 2020-09-01 2022-03-03 Qualcomm Incorporated Neural network based line of sight detection and angle estimation for positioning
US20220070822A1 (en) * 2020-08-31 2022-03-03 Qualcomm Incorporated Unsupervised learning for simultaneous localization and mapping in deep neural networks using channel state information

Patent Citations (4)

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Publication number Priority date Publication date Assignee Title
CN108769969A (zh) * 2018-06-20 2018-11-06 吉林大学 一种基于深度置信网络的rfid室内定位方法
US20210160812A1 (en) * 2019-11-21 2021-05-27 Qualcomm Incorporated Ue-based positioning
US20220070822A1 (en) * 2020-08-31 2022-03-03 Qualcomm Incorporated Unsupervised learning for simultaneous localization and mapping in deep neural networks using channel state information
US20220070028A1 (en) * 2020-09-01 2022-03-03 Qualcomm Incorporated Neural network based line of sight detection and angle estimation for positioning

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