WO2023173433A1 - 一种信道估计方法/装置/设备及存储介质 - Google Patents

一种信道估计方法/装置/设备及存储介质 Download PDF

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Publication number
WO2023173433A1
WO2023173433A1 PCT/CN2022/081802 CN2022081802W WO2023173433A1 WO 2023173433 A1 WO2023173433 A1 WO 2023173433A1 CN 2022081802 W CN2022081802 W CN 2022081802W WO 2023173433 A1 WO2023173433 A1 WO 2023173433A1
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Prior art keywords
reference signal
configuration information
designated
channel estimation
network device
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PCT/CN2022/081802
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English (en)
French (fr)
Inventor
池连刚
Original Assignee
北京小米移动软件有限公司
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Priority to PCT/CN2022/081802 priority Critical patent/WO2023173433A1/zh
Publication of WO2023173433A1 publication Critical patent/WO2023173433A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W74/00—Wireless channel access

Definitions

  • the present disclosure relates to the field of communication technology, and in particular, to a channel estimation method/device/equipment and a storage medium.
  • AI Artificial Intelligent, artificial intelligence
  • ML Machine Learning, machine learning
  • the application fields of AI technology and ML technology are also becoming more and more popular. coming more and more widely.
  • the present disclosure provides a channel estimation method based on AI and/or ML to improve channel estimation performance.
  • the channel estimation method/device/equipment and storage medium proposed in this disclosure implement channel estimation based on AI and/or ML, and can improve channel estimation performance.
  • the channel estimation method proposed by an embodiment of the present disclosure is executed by the terminal device UE for downlink channel estimation, including:
  • the configuration information includes a reference signal mode supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device;
  • the reference signal mode includes at least one of the following:
  • Reference signal mode one the reference signal corresponding to the reference signal mode one is used to train the artificial intelligence AI model and/or is used to train the machine learning ML model, wherein the AI model is used to implement channel estimation based on the reference signal, the ML model is used to achieve channel estimation based on reference signals;
  • Reference signal mode two The functions of the reference signal corresponding to the reference signal mode two include being used to train the AI model, to train the ML model, to evaluate the AI model, to evaluate the ML model, At least one of performing channel estimation based on the AI model and performing channel estimation based on the ML model.
  • the reference signal configuration information includes at least one of the following:
  • the reference signal sequence of the reference signal is the reference signal sequence of the reference signal.
  • the method further includes:
  • capability information is used to indicate whether the UE supports capabilities based on AI and/or ML channel estimation
  • the capability information is used to indicate at least one of the following:
  • the method for determining configuration information includes at least one of the following:
  • sending a request message to the network device includes:
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the time domain location corresponding to the reference signal configuration information requested by the UE is the time domain location corresponding to the reference signal configuration information requested by the UE.
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the configuration period for the configuration information of the network device suggested by the UE is the configuration period for the configuration information of the network device suggested by the UE.
  • the specified reference signal configuration information of the specified reference signal is the same as the reference signal configuration information requested by the UE.
  • obtaining the reference signal sent by the network device includes:
  • the designated reference signal is obtained based on the designated reference signal configuration information or the reference signal configuration information requested by the UE.
  • obtaining the reference signal sent by the network device includes:
  • the specified reference signal is obtained by reference signal configuration information.
  • the designated reference signal configuration information of the designated reference signal is different from the reference signal configuration information requested by the UE.
  • obtaining the reference signal sent by the network device includes:
  • the specified reference signal configuration information is the reference signal configuration information supported by the UE;
  • the designated reference signal is obtained based on the designated reference signal configuration information.
  • performing corresponding operations based on the specified reference signal includes:
  • the corresponding operation includes: the UE trains the AI model based on the reference signal, and/or the UE trains the AI model based on the reference signal.
  • the ML model is trained with reference signals;
  • the corresponding operation includes at least one of the following:
  • the UE trains the AI model based on the reference signal
  • the UE trains the ML model based on the reference signal
  • the UE performs channel estimation based on the reference signal and the AI model
  • the UE performs channel estimation based on the reference signal and the ML model
  • the UE evaluates the AI model based on the reference signal
  • the UE evaluates the ML model based on the reference signal.
  • the channel estimation method proposed in another aspect of the present disclosure is executed by network equipment and used for downlink channel estimation, including:
  • the configuration information includes a reference signal mode supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device;
  • the reference signal mode includes at least one of the following:
  • Reference signal mode one the reference signal corresponding to the reference signal mode one is used to train AI and/or is used to train a machine learning ML model, wherein the AI model is used to implement channel estimation based on the reference signal, and the ML model is also Used to achieve channel estimation based on reference signals;
  • Reference signal mode two The functions of the reference signal corresponding to the reference signal mode two include being used to train the AI, to train the ML model, to evaluate the AI model, to evaluate the ML model, and to At least one of performing channel estimation based on the AI model and performing channel estimation based on the ML model.
  • the reference signal configuration information includes at least one of the following:
  • the reference signal sequence of the reference signal is the reference signal sequence of the reference signal.
  • the method further includes:
  • the capability information is used to indicate at least one of the following:
  • sending configuration information to the UE includes:
  • the configuration information is sent to the UE.
  • obtaining the request message sent by the UE includes:
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the time domain location corresponding to the reference signal configuration information requested by the UE is the time domain location corresponding to the reference signal configuration information requested by the UE.
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the configuration period for the configuration information of the network device suggested by the UE is the configuration period for the configuration information of the network device suggested by the UE.
  • sending a designated reference signal to the UE based on the request message includes:
  • the specified reference signal is sent to the UE based on the reference signal mode and/or reference signal configuration information requested by the request message.
  • sending a designated reference signal to the UE based on the request message includes:
  • the designated reference signal mode Determine the designated reference signal mode and/or at least one designated reference signal configuration information corresponding to the designated reference signal mode, wherein the designated reference signal configuration information is different from the reference signal configuration information requested by the UE, and the designated reference signal mode
  • the reference signal mode is the same as or different from the reference signal mode requested by the UE, and the designated reference signal mode is a reference signal mode supported by the UE, and the designated reference signal configuration information is the reference signal configuration information supported by the UE;
  • the designated reference signal is sent to the UE based on the designated reference signal mode and/or designated reference signal configuration information.
  • the method further includes:
  • Another aspect of the present disclosure provides a channel estimation device, including:
  • a determining module configured to determine configuration information, where the configuration information includes a reference signal mode supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device;
  • a sending module configured to send a request message to the network device, where the request message is used to request a reference signal mode, and/or is used to request a reference signal of at least one reference signal corresponding to the reference signal mode requested by the UE. configuration information;
  • An acquisition module used to acquire the specified reference signal sent by the network device
  • the processing module is used to perform corresponding operations based on the specified reference signal to perform channel estimation.
  • Another aspect of the present disclosure provides a channel estimation device, including:
  • a first sending module configured to send configuration information to the UE, where the configuration information includes a reference signal mode supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device;
  • An acquisition module configured to acquire a request message sent by the UE, where the request message is used to request a reference signal mode, and/or is used to request a reference signal of at least one reference signal corresponding to the reference signal mode requested by the UE. configuration information;
  • the second sending module is configured to send a designated reference signal to the UE based on the request message.
  • the device includes a processor and a memory.
  • a computer program is stored in the memory.
  • the processor executes the computer program stored in the memory so that the The device performs the method proposed in the embodiment of the above aspect.
  • the device includes a processor and a memory.
  • a computer program is stored in the memory.
  • the processor executes the computer program stored in the memory so that the The device performs the method proposed in the above embodiment.
  • a communication device provided by another embodiment of the present disclosure includes: a processor and an interface circuit
  • the interface circuit is used to receive code instructions and transmit them to the processor
  • the processor is configured to run the code instructions to perform the method proposed in the embodiment of one aspect.
  • a communication device provided by another embodiment of the present disclosure includes: a processor and an interface circuit
  • the interface circuit is used to receive code instructions and transmit them to the processor
  • the processor is configured to run the code instructions to perform the method proposed in another embodiment.
  • a computer-readable storage medium provided by an embodiment of another aspect of the present disclosure is used to store instructions. When the instructions are executed, the method proposed by the embodiment of the present disclosure is implemented.
  • a computer-readable storage medium provided by an embodiment of another aspect of the present disclosure is used to store instructions. When the instructions are executed, the method proposed by the embodiment of another aspect is implemented.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the network device. Reference signal configuration information of at least one reference signal corresponding to the supported reference signal mode; and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, used to request the reference requested by the UE Reference signal configuration information of at least one reference signal corresponding to the signal mode; then, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 1 is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure
  • Figure 2a is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 2b is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 3 is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 4 is a schematic flow chart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 5 is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 6a is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 6b is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 7 is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 8 is a schematic flowchart of a channel estimation method provided by yet another embodiment of the present disclosure.
  • Figure 9 is a schematic structural diagram of a channel estimation device provided by an embodiment of the present disclosure.
  • Figure 10 is a schematic structural diagram of a channel estimation device provided by another embodiment of the present disclosure.
  • Figure 11 is a block diagram of a terminal device provided by an embodiment of the present disclosure.
  • Figure 12 is a block diagram of a network side device provided by an embodiment of the present disclosure.
  • 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 information of the same type from each other.
  • first information may also be called second information, and similarly, the second information may also be called first information.
  • the words "if” and “if” as used herein may be interpreted as “when” or “when” or “in response to determining.”
  • Figure 1 is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure.
  • the method is executed by a UE (User Equipment, terminal equipment) and can be used for downlink channel estimation.
  • the method can include the following step:
  • Step 101 Determine configuration information.
  • a UE may be a device that provides voice and/or data connectivity to users.
  • Terminal devices can communicate with one or more core networks via RAN (Radio Access Network).
  • UEs can be IoT terminals, such as sensor devices, mobile phones (or "cellular" phones) and devices with
  • the computer of the network terminal may, for example, be a fixed, portable, pocket-sized, handheld, built-in computer or vehicle-mounted device.
  • station STA
  • subscriber unit subscriberunit
  • subscriber station subscriberstation
  • mobile station mobile station
  • mobile station mobile station
  • remote station remote station
  • access point remote terminal
  • remote terminal remote terminal
  • access point Access terminal user terminal or user agent.
  • the UE may also be a device of an unmanned aerial vehicle.
  • the UE may also be a vehicle-mounted device, for example, it may be a driving computer with a wireless communication function, or a wireless terminal connected to an external driving computer.
  • the UE may also be a roadside device, for example, it may be a streetlight, a signal light, or other roadside device with wireless communication functions.
  • the above configuration information may specifically include at least one of the following:
  • Reference signal configuration information of at least one reference signal corresponding to a reference signal mode supported by the network device is not limited to a reference signal mode supported by the network device.
  • the above-mentioned reference signal mode may include at least one of the following:
  • Reference signal mode one the reference signal corresponding to the reference signal mode one is used to train the AI model and/or is used to train the ML model, wherein, in an embodiment of the present disclosure, the AI model can be used to implement based on the reference signal Channel estimation, this ML model can be used to achieve channel estimation based on reference signals;
  • Reference signal mode two The functions of the reference signal corresponding to the reference signal mode two can include training the AI model, training the ML model, evaluating the AI model, evaluating the ML model, and performing channel estimation based on the AI model. , at least one of performing channel estimation based on the ML model.
  • the reference signal configuration information of the above-mentioned reference signal may include at least one of the following:
  • the reference signal sequence of the reference signal is the reference signal sequence of the reference signal.
  • the above method of determining configuration information may include at least one of the following:
  • Step 102 Send a request message to the network device.
  • the request message may be used to request a reference signal mode, and/or be used to request reference signal configuration information of at least one reference signal corresponding to the reference signal mode requested by the UE.
  • the UE may specifically send a request message to the network device through signaling. Specifically, in one embodiment of the present disclosure, the UE may send a request message to the network device through dynamic signaling. In another embodiment of the present disclosure, the UE may also send a request message to the network device through semi-static signaling.
  • the request message sent by the UE to the network device through signaling can be used to: the UE informs the network device of the specific reference signal mode that the UE wants to request, and/or, the requested reference signal configuration information.
  • the request message sent by the UE to the network device through signaling may include at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the time domain location corresponding to the reference signal configuration information requested by the UE is the time domain location corresponding to the reference signal configuration information requested by the UE.
  • the above-mentioned first indication information may be, for example, the mode number of the reference signal mode.
  • the first indication information may be is the instruction code "1".
  • an indication code may be allocated in advance for each reference signal configuration information of each reference signal mode, and the second indication information may be requested by the UE. Indicator code of reference signal configuration information.
  • the reference signal mode requested by the UE in the above request message may be specifically selected by the UE from the reference signal mode supported by the network device in the above configuration information.
  • the specific criteria for the UE to select which reference signal mode to request may be: selecting the reference signal mode corresponding to the request based on the current needs of the UE.
  • the UE may request the reference signal mode one and the reference signal mode from the network device. 2;
  • the above need to train the AI model and/or ML model can be understood as: the need to train the newly established AI model and/or ML model, or the need to train the trained AI model and/or the trained ML model.
  • the model is retrained. For example, when the UE moves too fast, the current AI model and/or ML model cannot meet the current channel estimation accuracy. At this time, the current AI model and/or ML model need to be retrained.
  • the UE may request reference signal mode 2 from the network device.
  • each reference signal mode may correspond to at least one reference signal, and each reference signal corresponds to one type of reference signal configuration information.
  • the UE may further determine at least one type of reference signal configuration information to be requested from all types of reference signal configuration information corresponding to the reference signal mode.
  • the UE may determine which reference signal configuration information of the reference signal mode to specifically request based on information such as the UE moving speed. Specifically, in one embodiment of the present disclosure, when the UE moves at a high speed, the UE may request the network device for reference signal configuration information of denser reference signals among all reference signals corresponding to the reference signal mode. When the moving speed of the UE is small, the UE may request the network device for reference signal configuration information of sparser reference signals among all reference signals corresponding to the reference signal mode.
  • the time domain position corresponding to the reference signal configuration information requested by the UE may specifically be: the time domain position when the reference signal configuration information requested by the UE is transmitted.
  • the request message sent by the UE to the network device through signaling may be used: the UE requests the network device for the sending time of the reference signal configuration information of each reference signal mode. Based on this, in one embodiment of the present disclosure, the request message sent by the UE to the network device through signaling may include at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the configuration period for the configuration information of the network equipment recommended by the UE is the configuration period for the configuration information of the network equipment recommended by the UE.
  • the above-mentioned first time domain position may be a time domain position at which the reference signal configuration information of the reference signal mode one requested by the UE is transmitted within the configuration period recommended by the UE, for example, the first time domain position
  • the time domain position may be the first half of the time slot of the configuration period
  • the above-mentioned second time domain position may be the time domain position at which the reference signal configuration information of reference signal mode 2 requested by the UE is transmitted within the configuration period recommended by the UE, such as the third time domain position.
  • the second time domain position may be the time slot in the second half of the configuration period.
  • Step 103 Obtain the designated reference signal sent by the network device.
  • the designated reference signal may be sent by the network device based on a request message sent by the UE.
  • the designated reference signal may be sent by the network device directly based on the reference signal mode and/or reference signal configuration information requested by the request message. That is, the network device directly determines the reference signal corresponding to the reference signal mode and/or reference signal configuration information requested by the UE as the designated reference signal.
  • the request message in step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one, the reference signal mode used to indicate that the UE requests
  • the second indication information of the first reference signal configuration information corresponding to signal mode one and the time domain position corresponding to the reference signal configuration information requested by the UE indicate that what the UE requests from the network device is reference signal mode one and reference signal mode one.
  • the first type of reference signal configuration information (that is, the first type of reference signal indicating that the UE requests reference mode 1 from the network device), and it is expected that the network device can provide the first type of reference signal configuration information to the network device at the time domain location requested by the UE based on the first type of reference signal configuration information.
  • the UE sends the first reference signal.
  • the network device can directly determine the first reference signal as the designated reference signal based on the request message, and send the first reference signal configuration information to the UE at the time domain location requested by the UE. Send the first reference signal of reference signal mode 1.
  • the request message in the above step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one; The second indication information of the first reference signal configuration information corresponding to mode one, the configuration period of the configuration information recommended by the network equipment of the UE, and the first time domain of the reference signal configuration information corresponding to the reference signal mode one within the configuration period recommended by the UE position, the second time domain position of the reference signal configuration information corresponding to reference signal mode 2 within the configuration period recommended by the UE, it means that the UE requests the first reference signal of reference mode 1 from the network device, and the network device can directly base on the request message Determine the first reference signal corresponding to reference signal mode 1 as the designated reference signal, and periodically send the first reference signal corresponding to reference signal mode 1 to the UE in the configuration period recommended by the UE, and send the reference signal to the UE each time When the first reference signal corresponding to signal mode one is used, the first reference signal corresponding to reference signal mode one can be sent to the UE.
  • the reference signal may be a designated reference signal re-determined by the network device, and the designated reference signal is different from the reference signal requested by the UE, specifically embodied in: the re-determined designated reference signal
  • the designated reference signal configuration information of the signal is different from the reference signal configuration information requested by the UE, and the designated reference signal mode of the redetermined designated reference signal is the same as or different from the reference signal mode requested by the UE.
  • the request message in step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one, the reference signal mode used to indicate that the UE requests
  • the second indication information of the first reference signal configuration information corresponding to signal mode one and the time domain position corresponding to the reference signal configuration information requested by the UE indicate that what the UE requests from the network device is reference signal mode one and reference signal mode one.
  • the first reference signal configuration information (that is, the first reference signal indicating that the UE requests reference mode 1 from the network device), and it is expected that the network device can send the first reference signal configuration information to the UE at the time domain location requested by the UE. Send the first reference signal of reference signal mode 1.
  • the network device can determine the second reference signal of the denser reference signal mode 1 as the designated reference signal. After that, the network device The designated reference signal may be sent to the UE based on the second reference signal configuration information of reference signal mode 1 at the time domain location requested by the UE.
  • the request message in the above step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one; The second indication information of the first reference signal configuration information corresponding to mode one, the configuration period of the configuration information recommended by the network equipment of the UE, and the first time domain of the reference signal configuration information corresponding to the reference signal mode one within the configuration period recommended by the UE
  • the position is the second time domain position of the reference signal configuration information corresponding to reference signal mode 2 within the configuration period recommended by the UE, it means that the UE requests the first reference signal of reference mode 1 from the network device.
  • the network device can determine the second reference signal of the denser reference signal mode 1 as the designated reference signal. After that, the network device The designated reference signal may be sent to the UE based on the second reference signal configuration information of reference signal mode 1 at the first time domain location requested by the UE.
  • the method for the UE to obtain the designated reference signal sent by the network device in step 103 above is It may include: the UE obtains the designated reference signal mode and/or designated reference signal configuration information of the designated reference signal sent by the network device, and obtains the designated reference signal sent by the network device based on the designated reference signal mode and/or designated reference signal configuration information.
  • the method for the UE to obtain the designated reference signal sent by the network device in the above step 103 may include: the UE further obtains The designated reference signal mode and/or designated reference signal configuration information of the designated reference signal sent by the network device, where the designated reference signal mode is the reference signal mode requested by the UE, the designated reference signal configuration information, and the UE can Obtain the designated reference signal sent by the network device based on the designated reference signal configuration information or the reference signal configuration information requested by the UE.
  • the method for the UE to obtain the designated reference signal sent by the network device in the above step 103 may include: if the UE is in The designated reference signal mode and/or the designated reference signal configuration information of the designated reference signal sent by the network device is not obtained within the predetermined time period (that is, the network device does not send the designated reference signal mode and/or the designated reference signal of the designated reference signal). signal configuration information), the UE directly obtains the designated reference signal based on the reference signal configuration information requested by the UE.
  • the above-mentioned predetermined time period may be predetermined.
  • Step 104 Perform corresponding operations based on the specified reference signal to perform channel estimation.
  • the above-mentioned execution of corresponding operations based on a specified reference signal may include:
  • Step a Determine the reference signal mode corresponding to the specified reference signal.
  • the method for determining the reference signal mode corresponding to the designated reference signal may be: the UE may directly determine based on the designated reference signal mode of the designated reference signal sent by the network device, and, if the network If the device does not send the designated reference signal mode, the UE may determine the reference signal mode requested by the UE in step 102 as the reference signal mode corresponding to the designated reference signal.
  • Step b When the reference signal mode corresponding to the designated reference signal is reference signal mode one, the corresponding operation performed by the UE may include at least one of the following:
  • the UE trains the AI model based on the reference signal so that subsequent channel estimation can be performed based on the trained AI model
  • the UE trains the ML model based on the reference signal so that subsequent channel estimation can be performed based on the trained ML model.
  • Step c When the reference signal mode corresponding to the designated reference signal is reference signal mode 2, the corresponding operation performed by the UE may include at least one of the following:
  • the UE trains the AI model based on the reference signal so that subsequent channel estimation can be performed based on the trained AI model
  • the UE trains the ML model based on the reference signal so that subsequent channel estimation can be performed based on the trained ML model;
  • the UE performs channel estimation based on the reference signal and AI model
  • the UE performs channel estimation based on the reference signal and ML model
  • the UE evaluates the AI model based on the reference signal (for example, the accuracy of the AI model can be evaluated) to ensure the accuracy of the AI model, thereby ensuring the accuracy of subsequent channel estimation based on the AI model;
  • the UE evaluates the ML model based on the reference signal (for example, the accuracy of the ML model can be evaluated) to ensure the accuracy of the ML model, thereby ensuring the accuracy of subsequent channel estimation based on the ML model.
  • the reference signal for example, the accuracy of the ML model can be evaluated
  • the above-mentioned UE performing channel estimation based on the reference signal and the AI model may specifically include: inputting the relevant information of the reference signal into the trained AI model, then the AI model can Output the channel estimation results.
  • the above-mentioned methods for UE to perform channel estimation based on reference signals and ML models are similar, and will not be described in detail in the embodiments of this disclosure.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 2a is a schematic flow chart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by the UE and can be used for downlink channel estimation. As shown in Figure 2a, the method can include the following steps:
  • Step 201a Determine configuration information.
  • Step 202a Send a request message to the network device.
  • Step 203a Obtain the designated reference signal configuration information corresponding to the designated reference signal sent by the network device and/or the designated reference signal mode corresponding to the designated reference signal.
  • the designated reference signal configuration information of the designated reference signal is consistent with the reference signal configuration requested by the UE. The information is the same.
  • Step 204a Obtain the designated reference signal sent by the network device based on the designated reference signal configuration information or the reference signal configuration information requested by the UE.
  • Step 205a Perform corresponding operations based on the specified reference signal to perform channel estimation.
  • steps 201a-205a please refer to the above embodiment description, and the embodiments of the present disclosure will not be described again here.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 2b is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by the UE and can be used for downlink channel estimation. As shown in Figure 2a, the method can include the following steps:
  • Step 201b Determine configuration information.
  • Step 202b Send a request message to the network device.
  • Step 203b When the UE does not receive the designated reference signal configuration information corresponding to the designated reference signal and/or the designated reference signal pattern corresponding to the designated reference signal sent by the network device within the preset time period, obtain the reference signal configuration information requested by the UE based on A designated reference signal, the designated reference signal configuration information of the designated reference signal is the same as the reference signal configuration information requested by the UE.
  • Step 204b Perform corresponding operations based on the specified reference signal to perform channel estimation.
  • steps 201a-204a please refer to the above embodiment description, and the embodiments of the present disclosure will not be described again here.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 3 is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by the UE and can be used for downlink channel estimation. As shown in Figure 3, the method can include the following steps:
  • Step 301 Determine configuration information.
  • Step 302 Send a request message to the network device.
  • Step 303 Obtain the designated reference signal configuration information corresponding to the designated reference signal sent by the network device and/or the designated reference signal mode corresponding to the designated reference signal.
  • the designated reference signal configuration information of the designated reference signal is consistent with the reference signal configuration requested by the UE. The information is different.
  • Step 304 Obtain the designated reference signal sent by the network device based on the designated reference signal configuration information.
  • Step 305 Perform corresponding operations based on the reference signal to perform channel estimation.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 4 is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by the UE and can be used for downlink channel estimation. As shown in Figure 4, the method can include the following steps:
  • Step 401 Report capability information to the network device.
  • the above capability information may be used to indicate whether the UE supports capabilities based on AI and/or ML channel estimation.
  • the capability information is used to indicate at least one of the following:
  • Step 402 Determine configuration information.
  • the UE may perform step 402 to determine configuration information. Otherwise, the UE does not perform step 402 and subsequent processes.
  • Step 403 Send a request message to the network device.
  • Step 404 Obtain the designated reference signal sent by the network device.
  • Step 405 Perform corresponding operations based on the specified reference signal to perform channel estimation.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 5 is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by a network device and can be used for downlink channel estimation. As shown in Figure 5, the method can include the following steps:
  • Step 501 Send configuration information to the UE.
  • the configuration information may include reference signal modes supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device.
  • Step 502 Obtain the request message sent by the UE.
  • the request message is used to request a reference signal mode, and/or is used to request reference signal configuration information of at least one reference signal corresponding to the reference signal mode requested by the UE.
  • Step 503 Send the designated reference signal to the UE based on the request message.
  • the designated reference signal may be sent by the network device directly based on the reference signal mode and/or reference signal configuration information requested by the request message. That is, the network device directly determines the reference signal corresponding to the reference signal mode and/or reference signal configuration information requested by the UE as the designated reference signal.
  • the request message in step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one, the reference signal mode used to indicate that the UE requests
  • the second indication information of the first reference signal configuration information corresponding to signal mode one and the time domain position corresponding to the reference signal configuration information requested by the UE indicate that what the UE requests from the network device is reference signal mode one and reference signal mode one.
  • the first type of reference signal configuration information (that is, the first type of reference signal indicating that the UE requests reference mode 1 from the network device), and it is expected that the network device can provide the first type of reference signal configuration information to the network device at the time domain location requested by the UE based on the first type of reference signal configuration information.
  • the UE sends the first reference signal.
  • the network device can directly determine the first reference signal as the designated reference signal based on the request message, and send the first reference signal configuration information to the UE at the time domain location requested by the UE. Send the first reference signal of reference signal mode 1.
  • the request message in the above step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one;
  • the second indication information of the first reference signal configuration information corresponding to mode one, the configuration period of the configuration information recommended by the network equipment of the UE, and the first time domain of the reference signal configuration information corresponding to the reference signal mode one within the configuration period recommended by the UE position, the second time domain position of the reference signal configuration information corresponding to reference signal mode 2 within the configuration period recommended by the UE it means that the UE requests the first reference signal of reference mode 1 from the network device, and the network device can directly base on the request message
  • the first reference signal corresponding to reference signal mode one is determined as the designated reference signal, and the first reference signal corresponding to reference signal mode one is periodically sent to the UE in the configuration period recommended by the UE, and, each time it is sent to the UE When the first reference signal corresponding to reference signal mode one is used, the first reference signal corresponding to reference signal mode one may be sent
  • the reference signal may be a designated reference signal re-determined by the network device, and the designated reference signal is different from the reference signal requested by the UE, specifically embodied in: the re-determined designated reference signal
  • the designated reference signal configuration information of the signal is different from the reference signal configuration information requested by the UE, and the designated reference signal mode of the redetermined designated reference signal is the same as or different from the reference signal mode requested by the UE.
  • the request message in step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one, the reference signal mode used to indicate that the UE requests
  • the second indication information of the first reference signal configuration information corresponding to signal mode one and the time domain position corresponding to the reference signal configuration information requested by the UE indicate that what the UE requests from the network device is reference signal mode one and reference signal mode one.
  • the first reference signal configuration information (that is, the first reference signal indicating that the UE requests reference mode 1 from the network device), and it is expected that the network device can send the first reference signal configuration information to the UE at the time domain location requested by the UE. Send the first reference signal of reference signal mode 1.
  • the network device can determine the second reference signal of the denser reference signal mode 1 as the designated reference signal. After that, the network device The designated reference signal may be sent to the UE based on the second reference signal configuration information of reference signal mode 1 at the time domain location requested by the UE.
  • the request message in the above step 102 includes: first indication information used to indicate that the reference signal mode requested by the UE is reference signal mode one; The second indication information of the first reference signal configuration information corresponding to mode one, the configuration period of the configuration information recommended by the network equipment of the UE, and the first time domain of the reference signal configuration information corresponding to the reference signal mode one within the configuration period recommended by the UE
  • the position is the second time domain position of the reference signal configuration information corresponding to reference signal mode 2 within the configuration period recommended by the UE, it means that the UE requests the first reference signal of reference mode 1 from the network device.
  • the network device can determine the second reference signal of the denser reference signal mode 1 as the designated reference signal. After that, the network device The designated reference signal may be sent to the UE based on the second reference signal configuration information of reference signal mode 1 at the first time domain location requested by the UE.
  • the network device when the designated reference signal sent by the network device is different from the reference signal requested by the UE, the network device also needs to first send the designated reference signal of the designated reference signal to the UE. signal mode and/or designated reference signal configuration information, so that the UE can obtain the designated reference signal sent by the network device based on the designated reference signal mode and/or designated reference signal configuration information.
  • the network device may also send the designated reference signal mode and/or the designated reference of the designated reference signal to the UE.
  • Signal configuration information where the designated reference signal mode is the reference signal mode requested by the UE, the designated reference signal configuration information, and the UE can obtain the information sent by the network device based on the designated reference signal mode and/or the designated reference signal configuration information. designated reference signal.
  • the network device may not need to send the designated reference signal mode and/or the designated reference of the designated reference signal to the UE. signal configuration information, and the UE can directly obtain the specified reference signal based on the reference signal configuration information requested by the UE.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 6a is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by a network device and can be used for downlink channel estimation. As shown in Figure 6a, the method can include the following steps:
  • Step 601a Send configuration information to the UE.
  • the configuration information may include reference signal modes supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device.
  • Step 602a Obtain the request message sent by the UE.
  • the request message is used to request a reference signal mode, and/or is used to request reference signal configuration information of at least one reference signal corresponding to the reference signal mode requested by the UE.
  • steps 601a-602a please refer to the above embodiment description, and the embodiments of the present disclosure will not be described again here.
  • Step 603a Send the designated reference signal to the UE directly based on the reference signal mode and/or reference signal configuration information requested by the request message.
  • the request message in step 602 may include at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the time domain location corresponding to the reference signal configuration information requested by the UE is the time domain location corresponding to the reference signal configuration information requested by the UE.
  • the above-mentioned sending the designated reference signal to the UE directly based on the reference signal mode and/or reference signal configuration information requested by the request message may include: directly based on the request message, based on the first indication information corresponding to the time domain position.
  • the reference signal mode and/or the reference signal configuration information corresponding to the second indication information sends the designated reference signal to the UE.
  • the request message in step 602 includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the configuration period for the configuration information of the network device suggested by the UE is the configuration period for the configuration information of the network device suggested by the UE.
  • the above-mentioned sending the designated reference signal to the UE directly based on the reference signal mode and/or reference signal configuration information requested by the request message may include: sending the specified reference signal to the UE according to the first time domain position, the second time domain position and the configuration period.
  • the specified reference signal is sent periodically.
  • step 603a please refer to the description of the above embodiments, and the embodiments of this disclosure will not be described again here.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 6b is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by a network device and can be used for downlink channel estimation. As shown in Figure 6b, the method can include the following steps:
  • Step 601b Send configuration information to the UE.
  • the configuration information may include reference signal modes supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device.
  • Step 602b Obtain the request message sent by the UE.
  • the request message is used to request a reference signal mode, and/or is used to request reference signal configuration information of at least one reference signal corresponding to the reference signal mode requested by the UE.
  • Step 603b Send the designated reference signal to the UE directly based on the reference signal mode and/or reference signal configuration information requested by the request message.
  • Step 604b Send the designated reference signal mode and/or designated reference signal configuration information corresponding to the designated reference signal to the UE.
  • steps 601b-604b please refer to the above embodiment description, and the embodiments of this disclosure will not be described again here.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 7 is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by a network device and can be used for downlink channel estimation. As shown in Figure 7, the method can include the following steps:
  • Step 701 Send configuration information to the UE.
  • the configuration information may include reference signal modes supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device.
  • Step 702 Obtain the request message sent by the UE.
  • the request message is used to request a reference signal mode, and/or is used to request reference signal configuration information of at least one reference signal corresponding to the reference signal mode requested by the UE.
  • Step 703 Determine the designated reference signal mode and/or at least one designated reference signal configuration information corresponding to the designated reference signal mode.
  • the designated reference signal configuration information is different from the reference signal configuration information requested by the UE, and the designated reference signal mode is the same as or different from the reference signal mode requested by the UE, Furthermore, the designated reference signal mode is a reference signal mode supported by the UE, and the designated reference signal configuration information is reference signal configuration information supported by the UE.
  • Step 704 Send the designated reference signal mode and/or designated reference signal configuration information corresponding to the designated reference signal to the UE.
  • Step 705 Send the designated reference signal to the UE based on the designated reference signal mode and/or designated reference signal configuration information.
  • steps 701-705 please refer to the above embodiment description, and the embodiments of the present disclosure will not be described again here.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 8 is a schematic flowchart of a channel estimation method provided by an embodiment of the present disclosure. The method is executed by a network device and can be used for downlink channel estimation. As shown in Figure 8, the method can include the following steps:
  • Step 801 Receive capability information reported by the UE.
  • the capability information may be used to indicate whether the UE supports capabilities based on AI and/or ML channel estimation.
  • Step 802 Send configuration information to the UE.
  • the configuration information may be sent to the UE when the capability information indicates that the UE supports capabilities based on AI and/or ML channel estimation.
  • Step 803 Obtain the request message sent by the UE.
  • the request message is used to request a reference signal mode, and/or is used to request reference signal configuration information of at least one reference signal corresponding to the reference signal mode requested by the UE.
  • Step 804 Send the designated reference signal to the UE based on the request message.
  • steps 801-804 please refer to the above embodiment description, and the embodiments of the present disclosure will not be described again here.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • Figure 9 is a schematic structural diagram of a channel estimation device provided by an embodiment of the present disclosure. As shown in Figure 9, the device may include:
  • a determining module configured to determine configuration information, where the configuration information includes a reference signal mode supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device;
  • a sending module configured to send a request message to the network device, where the request message is used to request a reference signal mode, and/or is used to request a reference signal of at least one reference signal corresponding to the reference signal mode requested by the UE. configuration information;
  • An acquisition module used to acquire the specified reference signal sent by the network device
  • a processing module configured to perform corresponding operations based on the specified reference signal to perform channel estimation.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device, the request message is used to request the reference signal mode, and/or, is used to request at least one reference signal mode corresponding to the UE requested Reference signal configuration information of the reference signal; after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • the reference signal mode includes at least one of the following:
  • Reference signal mode one the reference signal corresponding to the reference signal mode one is used to train the artificial intelligence AI model and/or is used to train the machine learning ML model, wherein the AI model is used to implement channel estimation based on the reference signal, the ML model is used to achieve channel estimation based on reference signals;
  • Reference signal mode two The functions of the reference signal corresponding to the reference signal mode two include being used to train the AI model, to train the ML model, to evaluate the AI model, to evaluate the ML model, At least one of performing channel estimation based on the AI model and performing channel estimation based on the ML model.
  • the reference signal configuration information includes at least one of the following:
  • the reference signal sequence of the reference signal is the reference signal sequence of the reference signal.
  • the device is also used for:
  • capability information is used to indicate whether the UE supports capabilities based on AI and/or ML channel estimation
  • the capability information is used to indicate at least one of the following:
  • the determining module is also used to:
  • the sending module is also used to:
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the time domain location corresponding to the reference signal configuration information requested by the UE is the time domain location corresponding to the reference signal configuration information requested by the UE.
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the configuration period for the configuration information of the network device suggested by the UE is the configuration period for the configuration information of the network device suggested by the UE.
  • the specified reference signal configuration information of the specified reference signal is the same as the reference signal configuration information requested by the UE.
  • the acquisition module is also used to:
  • the designated reference signal is obtained based on the designated reference signal configuration information or the reference signal configuration information requested by the UE.
  • the acquisition module is also used to:
  • the specified reference signal is obtained by reference signal configuration information.
  • the designated reference signal configuration information of the designated reference signal is different from the reference signal configuration information requested by the UE.
  • the acquisition module is also used to:
  • the specified reference signal configuration information is the reference signal configuration information supported by the UE;
  • the designated reference signal is obtained based on the designated reference signal configuration information.
  • the processing module is also used to:
  • the corresponding operation includes: the UE trains the AI model based on the reference signal, and/or the UE trains the AI model based on the reference signal.
  • the ML model is trained with reference signals;
  • the corresponding operation includes at least one of the following:
  • the UE trains the AI model based on the reference signal
  • the UE trains the ML model based on the reference signal
  • the UE performs channel estimation based on the reference signal and the AI model
  • the UE performs channel estimation based on the reference signal and the ML model
  • the UE evaluates the AI model based on the reference signal
  • the UE evaluates the ML model based on the reference signal.
  • Figure 10 is a schematic structural diagram of a channel estimation device provided by an embodiment of the present disclosure. As shown in Figure 10, the device may include:
  • a first sending module configured to send configuration information to the UE, where the configuration information includes a reference signal mode supported by the network device, and/or reference signal configuration information of at least one reference signal corresponding to the reference signal mode supported by the network device;
  • An acquisition module configured to acquire a request message sent by the UE, where the request message is used to request a reference signal mode, and/or is used to request a reference signal of at least one reference signal corresponding to the reference signal mode requested by the UE. configuration information;
  • the second sending module is configured to send a designated reference signal to the UE based on the request message.
  • the UE will first determine the configuration information.
  • the configuration information includes the reference signal mode supported by the network device, and/or the reference signal mode corresponding to the reference signal mode supported by the network device.
  • Reference signal configuration information of at least one reference signal and, the UE will send a request message to the network device.
  • the request message is used to request the reference signal mode, and/or is used to request at least one reference signal mode corresponding to the UE requested.
  • Reference signal configuration information of the reference signal after that, the UE will obtain the designated reference signal sent by the network device; and will perform corresponding operations based on the designated reference signal to perform channel estimation. Therefore, embodiments of the present disclosure provide a channel estimation method based on AI and/or ML, which can improve channel estimation performance and ensure the accuracy and precision of channel estimation.
  • the reference signal mode includes at least one of the following:
  • Reference signal mode one the reference signal corresponding to the reference signal mode one is used to train AI and/or is used to train a machine learning ML model, wherein the AI model is used to implement channel estimation based on the reference signal, and the ML model is also Used to achieve channel estimation based on reference signals;
  • Reference signal mode two the functions of the reference signal corresponding to the reference signal mode two include: used to train the AI, used to train the ML model, used to evaluate the AI model, used to evaluate the ML model, used to At least one of performing channel estimation based on the AI model and performing channel estimation based on the ML model.
  • the reference signal configuration information includes at least one of the following:
  • the reference signal sequence of the reference signal is the reference signal sequence of the reference signal.
  • the device is also used for:
  • the capability information is used to indicate at least one of the following:
  • the first sending module is also used to:
  • the configuration information is sent to the UE.
  • the acquisition module is also used to:
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the time domain location corresponding to the reference signal configuration information requested by the UE is the time domain location corresponding to the reference signal configuration information requested by the UE.
  • the second sending module is also used to:
  • a reference signal is sent to the UE at the time domain position based on the reference signal mode corresponding to the first indication information and/or the reference signal configuration information corresponding to the second indication information.
  • the request message includes at least one of the following:
  • First indication information used to indicate the reference signal mode requested by the UE
  • Second indication information used to indicate reference signal configuration information corresponding to the reference signal mode requested by the UE
  • the configuration period for the configuration information of the network device suggested by the UE is the configuration period for the configuration information of the network device suggested by the UE.
  • the second sending module is also used to:
  • the specified reference signal is sent to the UE based on the reference signal mode and/or reference signal configuration information requested by the request message.
  • the second sending module is also used to:
  • the designated reference signal mode Determine the designated reference signal mode and/or at least one designated reference signal configuration information corresponding to the designated reference signal mode, wherein the designated reference signal configuration information is different from the reference signal configuration information requested by the UE, and the designated reference signal mode
  • the reference signal mode is the same as or different from the reference signal mode requested by the UE, and the designated reference signal mode is a reference signal mode supported by the UE, and the designated reference signal configuration information is the reference signal configuration information supported by the UE;
  • the designated reference signal is sent to the UE based on the designated reference signal mode and/or designated reference signal configuration information.
  • the device is also used for:
  • FIG 11 is a block diagram of a terminal device UE1100 provided by an embodiment of the present disclosure.
  • the UE 1100 may be a mobile phone, a computer, a digital broadcast terminal device, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.
  • UE 1100 may include at least one of the following components: a processing component 1102 , a memory 1104 , a power supply component 1106 , a multimedia component 1108 , an audio component 1110 , an input/output (I/O) interface 1112 , a sensor component 1113 , and a communication component. 1116.
  • Processing component 1102 generally controls the overall operations of UE 1100, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 1102 may include at least one processor 1120 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 1102 may include at least one module to facilitate interaction between processing component 1102 and other components. For example, processing component 1102 may include a multimedia module to facilitate interaction between multimedia component 1108 and processing component 1102.
  • Memory 1104 is configured to store various types of data to support operations at UE 1100. Examples of such data include instructions for any application or method operating on the UE 1100, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 1104 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
  • flash memory magnetic or optical disk.
  • Power supply component 1106 provides power to various components of UE 1100 .
  • Power supply components 1106 may include a power management system, at least one power supply, and other components associated with generating, managing, and distributing power to UE 1100.
  • Multimedia component 1108 includes a screen that provides an output interface between the UE 1100 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 at least one touch sensor to sense touches, slides, and gestures on the touch panel. The touch sensor may not only sense the boundary of the touch or sliding operation, but also detect the wake-up time and pressure related to the touch or sliding operation.
  • multimedia component 1108 includes a front-facing camera and/or a rear-facing camera.
  • the front camera and/or the rear camera can 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 1110 is configured to output and/or input audio signals.
  • audio component 1110 includes a microphone (MIC) configured to receive external audio signals when UE 1100 is in operating modes, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 1104 or sent via communications component 1116 .
  • audio component 1110 also includes a speaker for outputting audio signals.
  • the I/O interface 1112 provides an interface between the processing component 1102 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 1113 includes at least one sensor for providing various aspects of status assessment for UE 1100 .
  • the sensor component 1113 can detect the open/closed state of the device 1100, the relative positioning of components, such as the display and keypad of the UE1100, the sensor component 1113 can also detect the position change of the UE1100 or a component of the UE1100, the user and the The presence or absence of UE1100 contact, UE1100 orientation or acceleration/deceleration and temperature changes of UE1100.
  • Sensor assembly 1113 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 1113 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 1113 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 1116 is configured to facilitate wired or wireless communication between UE 1100 and other devices.
  • UE1100 can access wireless networks based on communication standards, such as WiFi, 2G or 3G, or a combination thereof.
  • the communication component 1116 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 1116 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
  • UE 1100 may be configured by at least one application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing device (DSPD), programmable logic device (PLD), field programmable gate array ( FPGA), controller, microcontroller, microprocessor or other electronic component implementation for executing the above method.
  • ASIC application specific integrated circuit
  • DSP digital signal processor
  • DSPD digital signal processing device
  • PLD programmable logic device
  • FPGA field programmable gate array
  • controller microcontroller, microprocessor or other electronic component implementation for executing the above method.
  • FIG. 12 is a block diagram of a network side device 1200 provided by an embodiment of the present disclosure.
  • the network side device 1200 may be provided as a network side device.
  • the network side device 1200 includes a processing component 1211, which further includes at least one processor, and a memory resource represented by a memory 1232 for storing instructions, such as application programs, that can be executed by the processing component 1222.
  • the application program stored in memory 1232 may include one or more modules, each corresponding to a set of instructions.
  • the processing component 1212 is configured to execute instructions to perform any of the foregoing methods applied to the network side device, for example, the method shown in FIG. 1 .
  • the network side device 1200 may also include a power supply component 1226 configured to perform power management of the network side device 1200, a wired or wireless network interface 1250 configured to connect the network side device 1200 to the network, and an input/output (I/O ) interface 1258.
  • the network side device 1200 may operate based on an operating system stored in the memory 1232, such as Windows Server TM, Mac OS X TM, Unix TM, Linux TM, FreeBSD TM or similar.
  • the methods provided by the embodiments of the present disclosure are introduced from the perspectives of network side equipment and UE respectively.
  • the network side device and the UE may include a hardware structure and a software module to implement the above functions in the form of a hardware structure, a software module, or a hardware structure plus a software module.
  • a certain function among the above functions can be executed by a hardware structure, a software module, or a hardware structure plus a software module.
  • the methods provided by the embodiments of the present disclosure are introduced from the perspectives of network side equipment and UE respectively.
  • the network side device and the UE may include a hardware structure and a software module to implement the above functions in the form of a hardware structure, a software module, or a hardware structure plus a software module.
  • a certain function among the above functions can be executed by a hardware structure, a software module, or a hardware structure plus a software module.
  • the communication device may include a transceiver module and a processing module.
  • the transceiver module may include a sending module and/or a receiving module.
  • the sending module is used to implement the sending function
  • the receiving module is used to implement the receiving function.
  • the transceiving module may implement the sending function and/or the receiving function.
  • the communication device may be a terminal device (such as the terminal device in the foregoing method embodiment), a device in the terminal device, or a device that can be used in conjunction with the terminal device.
  • the communication device may be a network device, a device in a network device, or a device that can be used in conjunction with the network device.
  • the communication device may be a network device, or may be a terminal device (such as the terminal device in the foregoing method embodiment), or may be a chip, chip system, or processor that supports the network device to implement the above method, or may be a terminal device that supports A chip, chip system, or processor that implements the above method.
  • the device can be used to implement the method described in the above method embodiment. For details, please refer to the description in the above method embodiment.
  • a communications device may include one or more processors.
  • the processor may be a general-purpose processor or a special-purpose processor, etc.
  • it can be a baseband processor or a central processing unit.
  • the baseband processor can be used to process communication protocols and communication data
  • the central processor can be used to control and execute communication devices (such as network side equipment, baseband chips, terminal equipment, terminal equipment chips, DU or CU, etc.)
  • a computer program processes data for a computer program.
  • the communication device may also include one or more memories, on which a computer program may be stored, and the processor executes the computer program, so that the communication device executes the method described in the above method embodiment.
  • data may also be stored in the memory.
  • the communication device and the memory can be provided separately or integrated together.
  • the communication device may also include a transceiver and an antenna.
  • the transceiver can be called a transceiver unit, a transceiver, or a transceiver circuit, etc., and is used to implement transceiver functions.
  • the transceiver can include a receiver and a transmitter.
  • the receiver can be called a receiver or a receiving circuit, etc., and is used to implement the receiving function;
  • the transmitter can be called a transmitter or a transmitting circuit, etc., and is used to implement the transmitting function.
  • the communication device may also include one or more interface circuits.
  • Interface circuitry is used to receive code instructions and transmit them to the processor.
  • the processor executes the code instructions to cause the communication device to perform the method described in the above method embodiment.
  • the communication device is a terminal device (such as the terminal device in the foregoing method embodiment): the processor is configured to execute the method shown in any one of Figures 1-4.
  • the communication device is a network device: a transceiver is used to perform the method shown in any one of Figures 5-7.
  • a transceiver for implementing receiving and transmitting functions may be included in the processor.
  • the transceiver may be a transceiver circuit, an interface, or an interface circuit.
  • the transceiver circuits, interfaces or interface circuits used to implement the receiving and transmitting functions can be separate or integrated together.
  • the above-mentioned transceiver circuit, interface or interface circuit can be used for reading and writing codes/data, or the above-mentioned transceiver circuit, interface or interface circuit can be used for signal transmission or transfer.
  • the processor may store a computer program, and the computer program runs on the processor, which can cause the communication device to perform the method described in the above method embodiment.
  • the computer program may be embedded in the processor, in which case the processor may be implemented in hardware.
  • the communication device may include a circuit, and the circuit may implement the functions of sending or receiving or communicating in the foregoing method embodiments.
  • the processors and transceivers described in this disclosure can be implemented in integrated circuits (ICs), analog ICs, radio frequency integrated circuits RFICs, mixed signal ICs, application specific integrated circuits (ASICs), printed circuit boards (printed circuit boards). circuit board, PCB), electronic equipment, etc.
  • the processor and transceiver can also be manufactured using various IC process technologies, such as complementary metal oxide semiconductor (CMOS), n-type metal oxide-semiconductor (NMOS), P-type Metal oxide semiconductor (positive channel metal oxide semiconductor, PMOS), bipolar junction transistor (BJT), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc.
  • CMOS complementary metal oxide semiconductor
  • NMOS n-type metal oxide-semiconductor
  • PMOS P-type Metal oxide semiconductor
  • BJT bipolar junction transistor
  • BiCMOS bipolar CMOS
  • SiGe silicon germanium
  • GaAs gallium arsenide
  • the communication device described in the above embodiments may be a network device or a terminal device (such as the terminal device in the foregoing method embodiment), but the scope of the communication device described in the present disclosure is not limited thereto, and the structure of the communication device may not be limited to limits.
  • the communication device may be a stand-alone device or may be part of a larger device.
  • the communication device may be:
  • the IC collection may also include storage components for storing data and computer programs;
  • the communication device may be a chip or a system on a chip
  • the chip includes a processor and an interface.
  • the number of processors may be one or more, and the number of interfaces may be multiple.
  • the chip also includes a memory, which is used to store necessary computer programs and data.
  • Embodiments of the present disclosure also provide a system for determining side link duration.
  • the system includes a communication device as a terminal device in the foregoing embodiment (such as the first terminal device in the foregoing method embodiment) and a communication device as a network device.
  • the system includes a communication device as a terminal device in the foregoing embodiment (such as the first terminal device in the foregoing method embodiment) and a communication device as a network device.
  • the present disclosure also provides a readable storage medium on which instructions are stored, and when the instructions are executed by a computer, the functions of any of the above method embodiments are implemented.
  • the present disclosure also provides a computer program product, which, when executed by a computer, implements the functions of any of the above method embodiments.
  • the above embodiments it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof.
  • software it may be implemented in whole or in part in the form of a computer program product.
  • the computer program product includes one or more computer programs.
  • the computer program When the computer program is loaded and executed on a computer, the processes or functions described in accordance with the embodiments of the present disclosure are generated in whole or in part.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.
  • the computer program may be stored in or transferred from one computer-readable storage medium to another, for example, the computer program may be transferred from a website, computer, server, or data center Transmission to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more available media integrated.
  • the usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVD)), or semiconductor media (e.g., solid state disks, SSD)) etc.
  • magnetic media e.g., floppy disks, hard disks, magnetic tapes
  • optical media e.g., high-density digital video discs (DVD)
  • DVD digital video discs
  • semiconductor media e.g., solid state disks, SSD
  • At least one in the present disclosure can also be described as one or more, and the plurality can be two, three, four or more, and the present disclosure is not limited.
  • the technical feature is distinguished by “first”, “second”, “third”, “A”, “B”, “C” and “D” etc.
  • the technical features described in “first”, “second”, “third”, “A”, “B”, “C” and “D” are in no particular order or order.

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Abstract

本公开提出一种信道估计方法/装置/设备/存储介质，属于通信技术领域，该方法：包括确定配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；向所述网络设备发送请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；获取所述网络设备发送的指定参考信号；基于所述指定参考信号执行对应的操作，以进行信道估计。本公开提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。

Description

一种信道估计方法/装置/设备及存储介质 技术领域
本公开涉及通信技术领域，尤其涉及一种信道估计方法/装置/设备及存储介质。
背景技术
随着AI(Artificial Intelligent，人工智能)技术和ML(Machine Learning，机器学习)技术的不断发展，AI技术和ML技术的应用领域(如图像识别、语音处理、自然语言处理、游戏等)也越来越广泛。基于此，本公开提供一种基于AI和/或ML的信道估计方法，以提高信道估计性能。
发明内容
本公开提出的信道估计方法/装置/设备及存储介质，是基于AI和/或ML实现信道估计的，可以提高信道估计性能。
本公开一方面实施例提出的信道估计方法，被终端设备UE执行，用于下行信道估计，包括：
确定配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
向所述网络设备发送请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
获取所述网络设备发送的指定参考信号；
基于所述指定参考信号执行对应的操作，以进行信道估计。
可选地，在本公开的一个实施例之中，所述参考信号模式包括以下至少一种：
参考信号模式一，所述参考信号模式一对应的参考信号用于训练人工智能AI模型和/或用于训练机器学习ML模型，其中，所述AI模型用于基于参考信号实现信道估计，所述ML模型用于基于参考信号实现信道估计；
参考信号模式二，所述参考信号模式二对应的参考信号的作用包括用于训练所述AI模型、用于训练所述ML模型、用于评估所述AI模型、用于评估所述ML模型、用于基于所述AI模型进行信道估计、用于基于所述ML模型进行信道估计中的至少一种。
可选地，在本公开的一个实施例之中，所述参考信号配置信息包括以下至少一种：
参考信号的参考信号图样；
参考信号的参考信号序列。
可选地，在本公开的一个实施例之中，所述方法还包括：
向网络设备上报能力信息，所述能力信息用于指示所述UE是否支持基于AI和/或ML信道估计的能力；
所述能力信息用于指示以下至少一种：
所述UE是否支持基于AI信道估计的能力；
所述UE是否支持基于ML信道估计的能力；
所述UE在对AI模型训练期间，是否支持数据传输；
所述UE在对ML模型训练期间，是否支持数据传输。
可选地，在本公开的一个实施例之中，所述确定配置信息的方法包括以下至少一种：
基于协议约定确定所述配置信息；
获取所述网络设备发送的所述配置信息。
可选地，在本公开的一个实施例之中，所述向所述网络设备发送请求消息，包括：
通过信令向所述网络设备发送请求消息。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE请求的参考信号配置信息对应的时域位置。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE建议的所述网络设备对于所述配置信息的配置周期；
所述UE建议的所述配置周期内所述参考信号模式一对应的参考信号配置信息的第一时域位置；
所述UE建议的所述配置周期内所述参考信号模式二对应的参考信号配置信息的第二时域位置。
可选地，在本公开的一个实施例之中，所述指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息相同。
可选地，在本公开的一个实施例之中，所述获取所述网络设备发送的参考信号，包括：
获取网络设备发送的所述指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式；
基于所述指定参考信号配置信息或者所述UE请求的参考信号配置信息获取所述指定参考信号。
可选地，在本公开的一个实施例之中，所述获取所述网络设备发送的参考信号，包括：
当所述UE在预设时间段内未接收到所述网络设备发送的指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式，基于所述UE请求的参考信号配置信息获取所述指定参考信号。
可选地，在本公开的一个实施例之中，所述指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息不同。
可选地，在本公开的一个实施例之中，所述获取所述网络设备发送的参考信号，包括：
获取网络设备发送的所述指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式，其中，所述指定参考信号模式为所述UE支持的参考信号模式，所述指定参考信号配置信息为所述UE支持的参考信号配置信息；
基于所述指定参考信号配置信息获取所述指定参考信号。
可选地，在本公开的一个实施例之中，所述基于所述指定参考信号执行对应的操作，包括：
当所述指定参考信号对应的参考信号模式为参考信号模式一，所述对应的操作包括：所述UE基于所述参考信号对所述AI模型进行训练，和/或，所述UE基于所述参考信号对所述ML模型进行训练；
当所述指定参考信号对应的参考信号模式为参考信号模式二，所述对应的操作包括以下至少一种：
所述UE基于所述参考信号对所述AI模型进行训练；
所述UE基于所述参考信号对所述ML模型进行训练；
所述UE基于所述参考信号和AI模型进行信道估计；
所述UE基于所述参考信号和ML模型进行信道估计；
所述UE基于所述参考信号对所述AI模型进行评估；
所述UE基于所述参考信号对所述ML模型进行评估。
本公开另一方面实施例提出的信道估计方法，被网络设备执行，用于下行信道估计，包括：
向UE发送配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
获取所述UE发送的请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
基于所述请求消息向所述UE发送指定参考信号。
可选地，在本公开的一个实施例之中，所述参考信号模式包括以下至少一种：
参考信号模式一，所述参考信号模式一对应的参考信号用于训练AI和/或用于训练机器学习ML模型，其中，所述AI模型用于基于参考信号实现信道估计，所述ML模型也用于基于参考信号实现信道估计；
参考信号模式二，所述参考信号模式二对应的参考信号的作用包括用于训练所述AI、用于训练所述ML模型、用于评估所述AI模型、用于评估所述ML模型、用于基于所述AI模型进行信道估计、用于 基于所述ML模型进行信道估计中的至少一种。
可选地，在本公开的一个实施例之中，所述参考信号配置信息包括以下至少一种：
参考信号的参考信号图样；
参考信号的参考信号序列。
可选地，在本公开的一个实施例之中，所述方法还包括：
接收所述UE上报的能力信息，所述能力信息用于指示所述UE是否支持基于AI和/或ML信道估计的能力；
所述能力信息用于指示以下至少一种：
所述UE是否支持基于AI信道估计的能力；
所述UE是否支持基于ML信道估计的能力；
所述UE在对AI模型训练期间，是否支持数据传输；
所述UE在对ML模型训练期间，是否支持数据传输。
可选地，在本公开的一个实施例之中，所述向UE发送配置信息，包括：
当所述能力信息指示所述UE支持基于AI和/或ML信道估计的能力，向所述UE发送所述配置信息。
可选地，在本公开的一个实施例之中，所述获取所述UE发送的请求消息，包括：
获取所述UE通过信令发送的所述请求消息。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE请求的参考信号配置信息对应的时域位置。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE建议的所述网络设备对于所述配置信息的配置周期；
所述UE建议的所述配置周期内所述参考信号模式一对应的参考信号配置信息的第一时域位置；
所述UE建议的配置周期内所述参考信号模式二对应的参考信号配置信息的第二时域位置。
可选地，在本公开的一个实施例之中，所述基于所述请求消息向所述UE发送指定参考信号，包括：
基于所述请求消息所请求的参考信号模式和/或参考信号配置信息向所述UE发送所述指定参考信号。
可选地，在本公开的一个实施例之中，所述基于所述请求消息向所述UE发送指定参考信号，包括：
确定指定参考信号模式和/或指定参考信号模式对应的至少一种指定参考信号配置信息，其中，所述指定参考信号配置信息与所述UE请求的参考信号配置信息不同，所述指定参考信号模式与所述UE请求的参考信号模式相同或不同，并且，所述指定参考信号模式为所述UE支持的参考信号模式，所述指定参考信号配置信息为所述UE支持的参考信号配置信息；
基于所述指定参考信号模式和/或指定参考信号配置信息向所述UE发送所述指定参考信号。
可选地，在本公开的一个实施例之中，所述方法还包括：
向所述UE发送所述指定参考信号对应的指定参考信号模式和/或指定参考信号配置信息。
本公开又一方面实施例提出的一种信道估计装置，包括：
确定模块，用于确定配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
发送模块，用于向所述网络设备发送请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
获取模块，用于获取所述网络设备发送的指定参考信号；
处理模块，用于基于指定参考信号执行对应的操作，以进行信道估计。
本公开又一方面实施例提出的一种信道估计装置，包括：
第一发送模块，用于向UE发送配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
获取模块，用于获取所述UE发送的请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
第二发送模块，用于基于所述请求消息向所述UE发送指定参考信号。
本公开又一方面实施例提出的一种通信装置，所述装置包括处理器和存储器，所述存储器中存储有计算机程序，所述处理器执行所述存储器中存储的计算机程序，以使所述装置执行如上一方面实施例提出的方法。
本公开又一方面实施例提出的一种通信装置，所述装置包括处理器和存储器，所述存储器中存储有计算机程序，所述处理器执行所述存储器中存储的计算机程序，以使所述装置执行如上另一方面实施例提出的方法。
本公开又一方面实施例提出的通信装置，包括：处理器和接口电路；
所述接口电路，用于接收代码指令并传输至所述处理器；
所述处理器，用于运行所述代码指令以执行如一方面实施例提出的方法。
本公开又一方面实施例提出的通信装置，包括：处理器和接口电路；
所述接口电路，用于接收代码指令并传输至所述处理器；
所述处理器，用于运行所述代码指令以执行如另一方面实施例提出的方法。
本公开又一方面实施例提出的计算机可读存储介质，用于存储有指令，当所述指令被执行时，使如一方面实施例提出的方法被实现。
本公开又一方面实施例提出的计算机可读存储介质，用于存储有指令，当所述指令被执行时，使如另一方面实施例提出的方法被实现。
综上所述，在本公开实施例提供的信道估计方法/装置/设备及存储介质之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
附图说明
本公开上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解，其中：
图1为本公开一个实施例所提供的信道估计方法的流程示意图；
图2a为本公开又一个实施例所提供的信道估计方法的流程示意图；
图2b为本公开又一个实施例所提供的信道估计方法的流程示意图；
图3为本公开又一个实施例所提供的信道估计方法的流程示意图；
图4为本公开又一个实施例所提供的信道估计方法的流程示意图；
图5为本公开又一个实施例所提供的信道估计方法的流程示意图；
图6a为本公开又一个实施例所提供的信道估计方法的流程示意图；
图6b为本公开又一个实施例所提供的信道估计方法的流程示意图；
图7为本公开又一个实施例所提供的信道估计方法的流程示意图；
图8为本公开又一个实施例所提供的信道估计方法的流程示意图；
图9为本公开一个实施例所提供的信道估计装置的结构示意图；
图10为本公开另一个实施例所提供的信道估计装置的结构示意图；
图11是本公开一个实施例所提供的一种终端设备的框图；
图12为本公开一个实施例所提供的一种网络侧设备的框图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开实施例相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本公开实施例的一些方面相一致的装置和方法的例子。
在本公开实施例使用的术语是仅仅出于描述特定实施例的目的，而非旨在限制本公开实施例。在本公开实施例和所附权利要求书中所使用的单数形式的“一种”和“该”也旨在包括多数形式，除非上下文清楚地表示其他含义。还应当理解，本文中使用的术语“和/或”是指并包含一个或多个相关联的列出项目的任何或所有可能组合。
应当理解，尽管在本公开实施例可能采用术语第一、第二、第三等来描述各种信息，但这些信息不应限于这些术语。这些术语仅用来将同一类型的信息彼此区分开。例如，在不脱离本公开实施例范围的情况下，第一信息也可以被称为第二信息，类似地，第二信息也可以被称为第一信息。取决于语境，如在此所使用的词语“如果”及“若”可以被解释成为“在……时”或“当……时”或“响应于确定”。
下面参考附图对本公开实施例所提供的信道估计方法/装置/设备及存储介质进行详细描述。
图1为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由UE(UserEquipment，终端设备)执行，可以用于进行下行信道估计，如图1所示，该方法可以包括以下步骤：
步骤101、确定配置信息。
需要说明的是，在本公开的一个实施例之中，UE可以是指向用户提供语音和/或数据连通性的设备。终端设备可以经RAN(Radio Access Network，无线接入网)与一个或多个核心网进行通信，UE可以是物联网终端，如传感器设备、移动电话(或称为“蜂窝”电话)和具有物联网终端的计算机，例如，可以是固定式、便携式、袖珍式、手持式、计算机内置的或者车载的装置。例如，站(Station，STA)、订户单元(subscriberunit)、订户站(subscriberstation)，移动站(mobilestation)、移动台(mobile)、远程站(remotestation)、接入点、远程终端(remoteterminal)、接入终端(accessterminal)、用户装置(userterminal)或用户代理(useragent)。或者，UE也可以是无人飞行器的设备。或者，UE也可以是车载设备，比如，可以是具有无线通信功能的行车电脑，或者是外接行车电脑的无线终端。或者，UE也可以是路边设备，比如，可以是具有无线通信功能的路灯、信号灯或者其它路边设备等。
以及，在本公开的一个实施例之中，上述配置信息具体可以包括以下至少一种：
网络设备支持的参考信号模式；
网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息。
进一步地，在本公开的一个实施例之中，上述的参考信号模式可以包括以下至少一种：
参考信号模式一，该参考信号模式一对应的参考信号用于训练AI模型和/或用于训练ML模型，其中，在本公开的一个实施例之中，该AI模型可以用于基于参考信号实现信道估计，该ML模型可以用于基于参考信号实现信道估计；
参考信号模式二，该参考信号模式二对应的参考信号的作用可以包括用于训练AI模型、用于训练ML模型、用于评估AI模型、用于评估ML模型、用于基于AI模型进行信道估计、用于基于ML模型进行信道估计中的至少一种。
以及，在本公开的一个实施例之中，上述的参考信号的参考信号配置信息可以包括以下至少一种：
参考信号的参考信号图样；
参考信号的参考信号序列。
此外，在本公开的一个实施例之中，上述的确定配置信息的方法可以包括以下至少一种：
基于协议约定确定该配置信息；
获取网络设备发送的该配置信息。
步骤102、向网络设备发送请求消息。
其中，在本公开的一个实施例之中，该请求消息可以用于请求参考信号模式，和/或，用于请求UE 请求的参考信号模式对应的至少一种参考信号的参考信号配置信息。
以及，在本公开的一个实施例之中，UE具体可以通过信令向网络设备发送请求消息。具体的，在本公开的一个实施例之中，UE可以通过动态信令向网络设备发送请求消息。在本公开的另一个实施例之中，UE也可以通过半静态信令向网络设备发送请求消息。
需要说明的是，在本公开的一个实施例之中，UE通过信令向网络设备发送的请求消息可以用于：UE告知网络设备该UE具体所要请求的参考信号模式，和/或，所要请求的参考信号配置信息。基于此，在本公开的一个实施例之中，UE通过信令向网络设备发送的请求消息可以包括以下至少一种：
用于指示UE请求的参考信号模式的第一指示信息；
用于指示UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
UE请求的参考信号配置信息对应的时域位置。
需要说明的是，在本公开的一个实施例之中，上述的第一指示信息例如可以为参考信号模式的模式编号，例如UE请求的参考信号模式为参考信号模式一时，该第一指示信息可以为指示码“1”。以及，在本公开的一个实施例之中，在本公开的一个实施例之中，可以预先为每一参考信号模式的每种参考信号配置信息分配指示码，该第二指示信息可以为UE请求的参考信号配置信息的指示码。
进一步地，在本公开的一个实施例之中，上述的请求消息中UE请求的参考信号模式具体可以是UE从上述配置信息中网络设备支持的参考信号模式中选择的。其中，在本公开的一个实施例之中，UE具体选择请求哪个参考信号模式的准则可以为：基于UE的当前需求来选择请求对应的参考信号模式。
具体而言，在本公开的一个实施例之中，当UE的当前需求为：需要训练AI模型，和/或，需要训练ML模型时，UE可以向网络设备请求参考信号模式一和参考信号模式二；其中，上述的需要训练AI模型和/或ML模型可以理解为：需要对新建立的AI模型和/或ML模型进行训练，或者，需要对训练好的AI模型和/或训练好的ML模型进行重新训练，例如，当UE移动速度过快时，当前的AI模型和/或ML模型无法满足当前信道估计精度，此时则需要对当前的AI模型和/或ML模型进行重新训练。
进一步地，在本公开的另一个实施例之中，当UE的当前需求为：需要评估AI模型、需要评估ML模型、需要基于AI模型进行信道估计、需要基于ML模型进行信道估计中的任一种时，UE可以向网络设备请求参考信号模式二。
以及，在本公开的一个实施例之中，每一参考信号模式可以对应至少一种参考信号，每种参考信号对应一种参考信号配置信息。其中，UE在确定了向网络设备请求的参考信号模式之后，可以从该参考信号模式对应的所有种类的参考信号配置信息中进一步确定出所要请求的至少一种参考信号配置信息。其中，在本公开的一个实施例之中，UE可以基于UE移动速度等信息来确定具体要请求参考信号模式的哪一种参考信号配置信息。具体的，在本公开的一个实施例之中，当UE的移动速度较大时，UE可以向网络设备请求参考信号模式对应的所有参考信号中较为密集的参考信号的参考信号配置信息。当UE的移动速度较小时，UE可以向网络设备请求参考信号模式对应的所有参考信号中较为稀疏的参考信号的参考信号配置信息。
以及，在本公开的一个实施例之中，上述的UE请求的参考信号配置信息对应的时域位置具体可以是：UE请求的参考信号配置信息传输时的时域位置。
进一步地，在本公开的另一个实施例之中，UE通过信令向网络设备发送的请求消息可以用于：UE向网络设备请求各个参考信号模式的参考信号配置信息的发送时间。基于此，在本公开的一个实施例之中，UE通过信令向网络设备发送的请求消息可以包括以下至少一种：
用于指示UE请求的参考信号模式的第一指示信息；
用于指示UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
UE建议的网络设备对于配置信息的配置周期；
UE建议的配置周期内参考信号模式一对应的参考信号配置信息的第一时域位置；
UE建议的配置周期内参考信号模式二对应的参考信号配置信息的第二时域位置。
其中，在本公开的一个实施例之中，上述的第一时域位置可以为UE建议的配置周期内传输UE所请求的参考信号模式一的参考信号配置信息的时域位置，例如该第一时域位置可以为配置周期的前半部分时隙；上述的第二时域位置可以为UE建议的配置周期内传输UE所请求的参考信号模式二的参考信 号配置信息的时域位置，例如该第二时域位置可以为配置周期的后半部分时隙。
步骤103、获取网络设备发送的指定参考信号。
其中，在本公开的一个实施例之中，该指定参考信号可以是网络设备基于UE发送的请求消息来发送的。
需要说明的是，在本公开的一个实施例之中，该指定参考信号可以是网络设备直接基于请求消息所请求的参考信号模式和/或参考信号配置信息发送的。也即是，网络设备直接将UE所请求的参考信号模式和/或参考信号配置信息对应的参考信号确定为指定参考信号。
具体的，在本公开的一个实施例之中，当上述步骤102的请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息、UE请求的参考信号配置信息对应的时域位置时，说明UE向网络设备请求的是参考信号模式一和参考信号模式一的第一种参考信号配置信息(也即是说明UE向网络设备请求参考模式一的第一种参考信号)，并且期望网络设备可以在UE请求的时域位置基于该第一种参考信号配置信息向UE发送第一种参考信号，则此时，网络设备可以直接基于该请求消息将第一种参考信号确定为指定参考信号，并在UE请求的时域位置基于第一种参考信号配置信息向UE发送参考信号模式一的第一种参考信号。
或者，在本公开的一个实施例之中，当上述步骤102中请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息，UE建议的网络设备对于配置信息的配置周期、UE建议的配置周期内参考信号模式一对应的参考信号配置信息的第一时域位置、UE建议的配置周期内参考信号模式二对应的参考信号配置信息的第二时域位置时，说明UE向网络设备请求参考模式一的第一种参考信号，网络设备可以直接基于该请求消息将参考信号模式一对应的第一种参考信号确定为指定参考信号，并在UE建议的配置周期向UE周期发送参考信号模式一对应的第一种参考信号，并且，在每一次向UE发送参考信号模式一对应的第一种参考信号时，可以在UE建议的配置周期的第一时域位置基于参考信号模式一对应的第一种参考信号配置信息向UE发送参考信号模式一对应的第一种参考信号。
以及，在本公开的另一个实施例之中，该参考信号可以是网络设备重新确定的指定参考信号，该指定参考信号与UE所请求的参考信号不同，具体体现在：该重新确定的指定参考信号的指定参考信号配置信息与UE请求的参考信号配置信息不同，该重新确定的指定参考信号的指定参考信号模式与UE请求的参考信号模式相同或不同。同时，还应确保该指定参考信号配置信息和指定参考信号模式均为UE支持的。
具体的，在本公开的一个实施例之中，当上述步骤102的请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息、UE请求的参考信号配置信息对应的时域位置时，说明UE向网络设备请求的是参考信号模式一和参考信号模式一的第一种参考信号配置信息(也即是说明UE向网络设备请求参考模式一的第一种参考信号)，并且期望网络设备可以在UE请求的时域位置基于第一种参考信号配置信息向UE发送参考信号模式一的第一种参考信号。此时，假设网络设备基于当前信道质量确定出当前应当传输较为密集的参考信号，则网络设备可以将更为密集的参考信号模式一的第二种参考信号确定为指定参考信号，之后，网络设备可以在该UE请求的时域位置基于参考信号模式一的第二种参考信号配置信息向UE发送指定参考信号。
或者，在本公开的一个实施例之中，当上述步骤102中请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息，UE建议的网络设备对于配置信息的配置周期、UE建议的配置周期内参考信号模式一对应的参考信号配置信息的第一时域位置、UE建议的配置周期内参考信号模式二对应的参考信号配置信息的第二时域位置时，说明UE向网络设备请求参考模式一的第一种参考信号。此时，假设网络设备基于当前信道质量确定出当前应当传输较为密集的参考信号，则网络设备可以将更为密集的参考信号模式一的第二种参考信号确定为指定参考信号，之后，网络设备可以在该UE请求的第一时域位置基于参考信号模式一的第二种参考信号配置信息向UE发送指定参考信号。
此外，需要说明的是，在本公开的一个实施例之中，当网络设备发送的指定参考信号和UE所请求的参考信号不同时，上述步骤103中UE获取网络设备发送的指定参考信号的方法可以包括：UE获取网络设备发送的该指定参考信号的指定参考信号模式和/或指定参考信号配置信息，基于该指定参考信号模式和/或指定参考信号配置信息获取网络设备发送的指定参考信号。
在本公开的另一个实施例之中，当网络设备发送的指定参考信号和UE所请求的参考信号相同时，上述步骤103中UE获取网络设备发送的指定参考信号的方法可以包括：UE进一步获取网络设备发送的该指定参考信号的指定参考信号模式和/或指定参考信号配置信息，其中，该指定参考信号模式即为UE所请求的参考信号模式，该指定参考信号配置信息，以及，UE可以基于该指定参考信号配置信息或者UE请求的参考信号配置信息获取网络设备发送的指定参考信号。
在本公开的又一个实施例之中，当网络设备发送的指定参考信号和UE所请求的参考信号相同时，上述步骤103中UE获取网络设备发送的指定参考信号的方法可以包括：若UE在预定时间段内未获取到网络设备发送的该指定参考信号的指定参考信号模式和/或指定参考信号配置信息(也即是网络设备没有发送该指定参考信号的指定参考信号模式和/或指定参考信号配置信息)，则UE直接基于UE请求的参考信号配置信息获取所述指定参考信号。其中，上述的预定时间段可以是预先确定的。
步骤104、基于指定参考信号执行对应的操作，以进行信道估计。
具体的，在本公开的一个实施例之中，上述的基于指定参考信号执行对应的操作可以包括：
步骤a、确定指定参考信号对应的参考信号模式。
其中，在本公开的一个实施例之中，确定指定参考信号对应的参考信号模式的方法具体可以为：UE可以直接基于网络设备发送的指定参考信号的指定参考信号模式来确定，以及，若网络设备未发送指定参考信号模式，则UE可以将上述步骤102中UE所请求的参考信号模式确定为指定参考信号对应的参考信号模式。
步骤b、当指定参考信号对应的参考信号模式为参考信号模式一，UE所执行的对应的操作可以包括以下至少一种：
UE基于参考信号对AI模型进行训练，以便后续基于训练好的AI模型进行信道估计；
UE基于参考信号对ML模型进行训练，以便后续基于训练好的ML模型进行信道估计。
步骤c、当指定参考信号对应的参考信号模式为参考信号模式二，UE所执行的对应的操作可以包括以下至少一种：
UE基于参考信号对AI模型进行训练，以便后续基于训练好的AI模型进行信道估计；
UE基于参考信号对ML模型进行训练，以便后续基于训练好的ML模型进行信道估计；
UE基于参考信号和AI模型进行信道估计；
UE基于参考信号和ML模型进行信道估计；
UE基于参考信号对AI模型进行评估(例如可以对AI模型的准确度进行评估)，以确保AI模型的准确度，进而确保后续基于AI模型进行信道估计时的准确度；
UE基于参考信号对ML模型进行评估(例如可以对ML模型的准确度进行评估)，以确保ML模型的准确度，进而确保后续基于ML模型进行信道估计时的准确度。
其中，在本公开的一个实施例之中，上述的UE基于参考信号和AI模型进行信道估计具体可以包括：将该参考信号的相关信息输入至训练好的AI模型中，则该AI模型即可输出信道估计结果。以及，上述的UE基于参考信号和ML模型进行信道估计的方法雷同，本公开实施例不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图2a为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由UE执行，可以用于进行 下行信道估计，如图2a所示，该方法可以包括以下步骤：
步骤201a、确定配置信息。
步骤202a、向网络设备发送请求消息。
步骤203a、获取网络设备发送的指定参考信号对应的指定参考信号配置信息和/或指定参考信号对应的指定参考信号模式，该指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息相同。
步骤204a、基于指定参考信号配置信息或者UE请求的参考信号配置信息获取网络设备发送的指定参考信号。
步骤205a、基于指定参考信号执行对应的操作，以进行信道估计。
其中，关于步骤201a-205a的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图2b为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由UE执行，可以用于进行下行信道估计，如图2a所示，该方法可以包括以下步骤：
步骤201b、确定配置信息。
步骤202b、向网络设备发送请求消息。
步骤203b、当UE在预设时间段内未接收到网络设备发送的指定参考信号对应的指定参考信号配置信息和/或指定参考信号对应的指定参考信号模式，基于UE请求的参考信号配置信息获取指定参考信号，该指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息相同。
步骤204b、基于指定参考信号执行对应的操作，以进行信道估计。
其中，关于步骤201a-204a的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图3为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由UE执行，可以用于进行下行信道估计，如图3所示，该方法可以包括以下步骤：
步骤301、确定配置信息。
步骤302、向网络设备发送请求消息。
步骤303、获取网络设备发送的指定参考信号对应的指定参考信号配置信息和/或指定参考信号对应的指定参考信号模式，该指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息不同。
步骤304、基于指定参考信号配置信息获取网络设备发送的指定参考信号。
步骤305、基于参考信号执行对应的操作，以进行信道估计。
其中，关于步骤301-305的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请 求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图4为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由UE执行，可以用于进行下行信道估计，如图4所示，该方法可以包括以下步骤：
步骤401、向网络设备上报能力信息。
其中，在本公开的一个实施例之中，上述能力信息可以用于指示UE是否支持基于AI和/或ML信道估计的能力。
其中，所述能力信息用于指示以下至少一种：
UE是否支持基于AI信道估计的能力；
UE是否支持基于ML信道估计的能力；
UE在对AI模型训练期间，是否支持数据传输；
UE在对ML模型训练期间，是否支持数据传输。
步骤402、确定配置信息。
其中，关于配置信息的相关介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
以及，需要说明的是，在本公开的一个实施例之中，当上述的能力信息指示UE支持基于AI和/或ML信道估计的能力(例如指示UE支持基于AI信道估计的能力，和/或，指示UE支持基于ML信道估计的能力)时，UE可以执行步骤402以确定配置信息。否则，UE不执行该步骤402以及后续流程。
步骤403、向网络设备发送请求消息。
步骤404、获取网络设备发送的指定参考信号。
步骤405、基于指定参考信号执行与对应的操作，以进行信道估计。
其中，关于步骤402-405的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图5为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由网络设备执行，可以用于进行下行信道估计，如图5所示，该方法可以包括以下步骤：
步骤501、向UE发送配置信息。
其中，在本公开的一个实施例之中，所述配置信息可以包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息。
步骤502、获取UE发送的请求消息。
在本公开的一个实施例之中，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息。
其中，关于步骤501-502的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
步骤503、基于请求消息向UE发送指定参考信号。
需要说明的是，在本公开的一个实施例之中，该指定参考信号可以是网络设备直接基于请求消息所请求的参考信号模式和/或参考信号配置信息发送的。也即是，网络设备直接将UE所请求的参考信号模式和/或参考信号配置信息对应的参考信号确定为指定参考信号。
具体的，在本公开的一个实施例之中，当上述步骤102的请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息、UE请求的参考信号配置信息对应的时域位置时，说明UE向网络设备 请求的是参考信号模式一和参考信号模式一的第一种参考信号配置信息(也即是说明UE向网络设备请求参考模式一的第一种参考信号)，并且期望网络设备可以在UE请求的时域位置基于该第一种参考信号配置信息向UE发送第一种参考信号，则此时，网络设备可以直接基于该请求消息将第一种参考信号确定为指定参考信号，并在UE请求的时域位置基于第一种参考信号配置信息向UE发送参考信号模式一的第一种参考信号。
或者，在本公开的一个实施例之中，当上述步骤102中请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息，UE建议的网络设备对于配置信息的配置周期、UE建议的配置周期内参考信号模式一对应的参考信号配置信息的第一时域位置、UE建议的配置周期内参考信号模式二对应的参考信号配置信息的第二时域位置时，说明UE向网络设备请求参考模式一的第一种参考信号，网络设备可以直接基于该请求消息中将参考信号模式一对应的第一种参考信号确定为指定参考信号，并在UE建议的配置周期向UE周期发送参考信号模式一对应的第一种参考信号，并且，在每一次向UE发送参考信号模式一对应的第一种参考信号时，可以在UE建议的配置周期的第一时域位置基于参考信号模式一对应的第一种参考信号配置信息向UE发送参考信号模式一对应的第一种参考信号。
以及，在本公开的另一个实施例之中，该参考信号可以是网络设备重新确定的指定参考信号，该指定参考信号与UE所请求的参考信号不同，具体体现在：该重新确定的指定参考信号的指定参考信号配置信息与UE请求的参考信号配置信息不同，该重新确定的指定参考信号的指定参考信号模式与UE请求的参考信号模式相同或不同。同时，还应确保该指定参考信号配置信息和指定参考信号模式均为UE支持的。
具体的，在本公开的一个实施例之中，当上述步骤102的请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息、UE请求的参考信号配置信息对应的时域位置时，说明UE向网络设备请求的是参考信号模式一和参考信号模式一的第一种参考信号配置信息(也即是说明UE向网络设备请求参考模式一的第一种参考信号)，并且期望网络设备可以在UE请求的时域位置基于第一种参考信号配置信息向UE发送参考信号模式一的第一种参考信号。此时，假设网络设备基于当前信道质量确定出当前应当传输较为密集的参考信号，则网络设备可以将更为密集的参考信号模式一的第二种参考信号确定为指定参考信号，之后，网络设备可以在该UE请求的时域位置基于参考信号模式一的第二种参考信号配置信息向UE发送指定参考信号。
或者，在本公开的一个实施例之中，当上述步骤102中请求消息中包括：用于指示UE请求的参考信号模式为参考信号模式一的第一指示信息、用于指示UE请求的参考信号模式一对应的第一种参考信号配置信息的第二指示信息，UE建议的网络设备对于配置信息的配置周期、UE建议的配置周期内参考信号模式一对应的参考信号配置信息的第一时域位置、UE建议的配置周期内参考信号模式二对应的参考信号配置信息的第二时域位置时，说明UE向网络设备请求参考模式一的第一种参考信号。此时，假设网络设备基于当前信道质量确定出当前应当传输较为密集的参考信号，则网络设备可以将更为密集的参考信号模式一的第二种参考信号确定为指定参考信号，之后，网络设备可以在该UE请求的第一时域位置基于参考信号模式一的第二种参考信号配置信息向UE发送指定参考信号。
此外，需要说明的是，在本公开的一个实施例之中，当网络设备发送的指定参考信号和UE所请求的参考信号不同时，网络设备还需要先向UE发送该指定参考信号的指定参考信号模式和/或指定参考信号配置信息，以便该UE可以基于该指定参考信号模式和/或指定参考信号配置信息获取网络设备发送的指定参考信号。
在本公开的另一个实施例之中，当网络设备发送的指定参考信号和UE所请求的参考信号相同时，网络设备也可以向UE发送该指定参考信号的指定参考信号模式和/或指定参考信号配置信息，其中，该指定参考信号模式即为UE所请求的参考信号模式，该指定参考信号配置信息，以及，UE可以基于该指定参考信号模式和/或指定参考信号配置信息获取网络设备发送的指定参考信号。
在本公开的又一个实施例之中，当网络设备发送的指定参考信号和UE所请求的参考信号相同时，网络设备可以无需向UE发送该指定参考信号的指定参考信号模式和/或指定参考信号配置信息，而该 UE可以直接基于UE请求的参考信号配置信息获取所述指定参考信号。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图6a为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由网络设备执行，可以用于进行下行信道估计，如图6a所示，该方法可以包括以下步骤：
步骤601a、向UE发送配置信息。
其中，在本公开的一个实施例之中，所述配置信息可以包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息。
步骤602a、获取UE发送的请求消息。
在本公开的一个实施例之中，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息。
其中，关于步骤601a-602a的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
步骤603a、直接基于请求消息所请求的参考信号模式和/或参考信号配置信息向UE发送指定参考信号。
其中，在本公开的一个实施例之中，当上述步骤602中的请求消息可以包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE请求的参考信号配置信息对应的时域位置。
则上述的直接基于请求消息所请求的参考信号模式和/或参考信号配置信息向UE发送指定参考信号可以包括：直接基于该请求消息在所述时域位置上基于所述第一指示信息对应的参考信号模式和/或所述第二指示信息对应的参考信号配置信息向所述UE发送指定参考信号。
在本公开的另一个实施例之中，当上述步骤602中的请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE建议的所述网络设备对于所述配置信息的配置周期；
所述UE建议的所述配置周期内所述参考信号模式一对应的参考信号配置信息的第一时域位置；
所述UE建议的配置周期内所述参考信号模式二对应的参考信号配置信息的第二时域位置。
则上述的直接基于请求消息所请求的参考信号模式和/或参考信号配置信息向UE发送指定参考信号可以包括：按照所述第一时域位置、第二时域位置以及配置周期向所述UE周期性发送所述指定参考信号。
以及，关于步骤603a的其他详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图6b为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由网络设备执行，可以用于进行下行信道估计，如图6b所示，该方法可以包括以下步骤：
步骤601b、向UE发送配置信息。
其中，在本公开的一个实施例之中，所述配置信息可以包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息。
步骤602b、获取UE发送的请求消息。
在本公开的一个实施例之中，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息。
步骤603b、直接基于请求消息所请求的参考信号模式和/或参考信号配置信息向UE发送指定参考信号。
步骤604b、向所述UE发送所述指定参考信号对应的指定参考信号模式和/或指定参考信号配置信息。
其中，关于步骤601b-604b的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图7为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由网络设备执行，可以用于进行下行信道估计，如图7所示，该方法可以包括以下步骤：
步骤701、向UE发送配置信息。
其中，在本公开的一个实施例之中，所述配置信息可以包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息。
步骤702、获取UE发送的请求消息。
在本公开的一个实施例之中，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息。
步骤703、确定指定参考信号模式和/或指定参考信号模式对应的至少一种指定参考信号配置信息。
其中，在本公开的一个实施例之中，所述指定参考信号配置信息与所述UE请求的参考信号配置信息不同，所述指定参考信号模式与所述UE请求的参考信号模式相同或不同，并且，所述指定参考信号模式为所述UE支持的参考信号模式，所述指定参考信号配置信息为所述UE支持的参考信号配置信息。
步骤704、向所述UE发送所述指定参考信号对应的指定参考信号模式和/或指定参考信号配置信息。
步骤705、基于所述指定参考信号模式和/或指定参考信号配置信息向所述UE发送所述指定参考信号。
其中，关于步骤701-705的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图8为本公开实施例所提供的一种信道估计方法的流程示意图，该方法由网络设备执行，可以用于进行下行信道估计，如图8所示，该方法可以包括以下步骤：
步骤801、接收UE上报的能力信息。
其中，在本公开的一个实施例之中，该能力信息可以用于指示UE是否支持基于AI和/或ML信道估计的能力。
步骤802、向UE发送配置信息。
其中，在本公开的一个实施例之中，可以是当所述能力信息指示所述UE支持基于AI和/或ML信道估计的能力，向所述UE发送所述配置信息。
步骤803、获取UE发送的请求消息。
在本公开的一个实施例之中，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息。
步骤804、基于请求消息向UE发送指定参考信号。
其中，关于步骤801-804的详细介绍可以参考上述实施例描述，本公开实施例在此不做赘述。
综上所述，在本公开实施例提供的信道估计方法之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
图9为本公开实施例所提供的一种信道估计装置的结构示意图，如图9所示，装置可以包括：
确定模块，用于确定配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
发送模块，用于向所述网络设备发送请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
获取模块，用于获取所述网络设备发送的指定参考信号；
处理模块，用于基于所述指定参考信号执行对应的操作，以进行信道估计。
综上所述，在本公开实施例提供的信道估计装置之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
可选地，在本公开的一个实施例之中，所述参考信号模式包括以下至少一种：
参考信号模式一，所述参考信号模式一对应的参考信号用于训练人工智能AI模型和/或用于训练机器学习ML模型，其中，所述AI模型用于基于参考信号实现信道估计，所述ML模型用于基于参考信号实现信道估计；
参考信号模式二，所述参考信号模式二对应的参考信号的作用包括用于训练所述AI模型、用于训练所述ML模型、用于评估所述AI模型、用于评估所述ML模型、用于基于所述AI模型进行信道估计、用于基于所述ML模型进行信道估计中的至少一种。
可选地，在本公开的一个实施例之中，所述参考信号配置信息包括以下至少一种：
参考信号的参考信号图样；
参考信号的参考信号序列。
可选地，在本公开的一个实施例之中，所述装置还用于：
向网络设备上报能力信息，所述能力信息用于指示所述UE是否支持基于AI和/或ML信道估计的能力；
所述能力信息用于指示以下至少一种：
所述UE是否支持基于AI信道估计的能力；
所述UE是否支持基于ML信道估计的能力；
所述UE在对AI模型训练期间，是否支持数据传输；
所述UE在对ML模型训练期间，是否支持数据传输。
可选地，在本公开的一个实施例之中，所述确定模块还用于：
基于协议约定确定所述配置信息；和/或
获取所述网络设备发送的所述配置信息。
可选地，在本公开的一个实施例之中，所述发送模块，还用于：
通过信令向所述网络设备发送请求消息。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE请求的参考信号配置信息对应的时域位置。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE建议的所述网络设备对于所述配置信息的配置周期；
所述UE建议的所述配置周期内所述参考信号模式一对应的参考信号配置信息的第一时域位置；
所述UE建议的配置周期内所述参考信号模式二对应的参考信号配置信息的第二时域位置。
可选地，在本公开的一个实施例之中，所述指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息相同。
可选地，在本公开的一个实施例之中，所述获取模块，还用于：
获取网络设备发送的所述指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式；
基于所述指定参考信号配置信息或者所述UE请求的参考信号配置信息获取所述指定参考信号。
可选地，在本公开的一个实施例之中，所述获取模块，还用于：
当所述UE在预设时间段内未接收到所述网络设备发送的指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式，基于所述UE请求的参考信号配置信息获取所述指定参考信号。
可选地，在本公开的一个实施例之中，所述指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息不同。
可选地，在本公开的一个实施例之中，所述获取模块，还用于：
获取网络设备发送的所述指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式，其中，所述指定参考信号模式为所述UE支持的参考信号模式，所述指定参考信号配置信息为所述UE支持的参考信号配置信息；
基于所述指定参考信号配置信息获取所述指定参考信号。
可选地，在本公开的一个实施例之中，所述处理模块，还用于：
当所述指定参考信号对应的参考信号模式为参考信号模式一，所述对应的操作包括：所述UE基于所述参考信号对所述AI模型进行训练，和/或，所述UE基于所述参考信号对所述ML模型进行训练；
当所述指定参考信号对应的参考信号模式为参考信号模式二，所述对应的操作包括以下至少一种：
所述UE基于所述参考信号对所述AI模型进行训练；
所述UE基于所述参考信号对所述ML模型进行训练；
所述UE基于所述参考信号和AI模型进行信道估计；
所述UE基于所述参考信号和ML模型进行信道估计；
所述UE基于所述参考信号对所述AI模型进行评估；
所述UE基于所述参考信号对所述ML模型进行评估。
图10为本公开实施例所提供的一种信道估计装置的结构示意图，如图10所示，装置可以包括：
第一发送模块，用于向UE发送配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
获取模块，用于获取所述UE发送的请求消息，所述请求消息用于请求参考信号模式，和/或，用于 请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
第二发送模块，用于基于所述请求消息向所述UE发送指定参考信号。
综上所述，在本公开实施例提供的信道估计装置之中，UE会先确定配置信息，该配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；以及，UE会向网络设备发送请求消息，该请求消息用于请求参考信号模式，和/或，用于请求UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；之后，UE会获取网络设备发送的指定参考信号；并会基于该指定参考信号执行对应的操作，以进行信道估计。由此，本公开实施例提供了一种基于AI和/或ML的信道估计方法，则可以提高信道估计性能，确保信道估计的准确度和精度。
可选地，在本公开的一个实施例之中，所述参考信号模式包括以下至少一种：
参考信号模式一，所述参考信号模式一对应的参考信号用于训练AI和/或用于训练机器学习ML模型，其中，所述AI模型用于基于参考信号实现信道估计，所述ML模型也用于基于参考信号实现信道估计；
参考信号模式二，所述参考信号模式二对应的参考信号的作用包括用于训练所述AI、用于训练所述ML模型、用于评估所述AI模型、用于评估所述ML模型、用于基于所述AI模型进行信道估计、用于基于所述ML模型进行信道估计中的至少一种。
可选地，在本公开的一个实施例之中，所述参考信号配置信息包括以下至少一种：
参考信号的参考信号图样；
参考信号的参考信号序列。
可选地，在本公开的一个实施例之中，所述装置还用于：
接收所述UE上报的能力信息，所述能力信息用于指示所述UE是否支持基于AI和/或ML信道估计的能力；
所述能力信息用于指示以下至少一种：
所述UE是否支持基于AI信道估计的能力；
所述UE是否支持基于ML信道估计的能力；
所述UE在对AI模型训练期间，是否支持数据传输；
所述UE在对ML模型训练期间，是否支持数据传输。
可选地，在本公开的一个实施例之中，所述第一发送模块，还用于：
当所述能力信息指示所述UE支持基于AI和/或ML信道估计的能力，向所述UE发送所述配置信息。
可选地，在本公开的一个实施例之中，所述获取模块，还用于：
获取所述UE通过信令发送的所述请求消息。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE请求的参考信号配置信息对应的时域位置。
可选地，在本公开的一个实施例之中，所述第二发送模块，还用于：
在所述时域位置上基于所述第一指示信息对应的参考信号模式和/或所述第二指示信息对应的参考信号配置信息向所述UE发送参考信号。
可选地，在本公开的一个实施例之中，所述请求消息包括以下至少一种：
用于指示所述UE请求的参考信号模式的第一指示信息；
用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
所述UE建议的所述网络设备对于所述配置信息的配置周期；
所述UE建议的所述配置周期内所述参考信号模式一对应的参考信号配置信息的第一时域位置；
所述UE建议的配置周期内所述参考信号模式二对应的参考信号配置信息的第二时域位置。
可选地，在本公开的一个实施例之中，所述第二发送模块，还用于：
基于所述请求消息所请求的参考信号模式和/或参考信号配置信息向所述UE发送所述指定参考信号。
可选地，在本公开的一个实施例之中，所述第二发送模块，还用于：
确定指定参考信号模式和/或指定参考信号模式对应的至少一种指定参考信号配置信息，其中，所述指定参考信号配置信息与所述UE请求的参考信号配置信息不同，所述指定参考信号模式与所述UE请求的参考信号模式相同或不同，并且，所述指定参考信号模式为所述UE支持的参考信号模式，所述指定参考信号配置信息为所述UE支持的参考信号配置信息；
基于所述指定参考信号模式和/或指定参考信号配置信息向所述UE发送所述指定参考信号。
可选地，在本公开的一个实施例之中，所述装置还用于：
向所述UE发送所述指定参考信号对应的指定参考信号模式和/或指定参考信号配置信息。
图11是本公开一个实施例所提供的一种终端设备UE1100的框图。例如，UE1100可以是移动电话，计算机，数字广播终端设备，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图11，UE1100可以包括以下至少一个组件：处理组件1102，存储器1104，电源组件1106，多媒体组件1108，音频组件1110，输入/输出(I/O)的接口1112，传感器组件1113，以及通信组件1116。
处理组件1102通常控制UE1100的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件1102可以包括至少一个处理器1120来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件1102可以包括至少一个模块，便于处理组件1102和其他组件之间的交互。例如，处理组件1102可以包括多媒体模块，以方便多媒体组件1108和处理组件1102之间的交互。
存储器1104被配置为存储各种类型的数据以支持在UE1100的操作。这些数据的示例包括用于在UE1100上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器1104可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件1106为UE1100的各种组件提供电力。电源组件1106可以包括电源管理系统，至少一个电源，及其他与为UE1100生成、管理和分配电力相关联的组件。
多媒体组件1108包括在所述UE1100和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括至少一个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的唤醒时间和压力。在一些实施例中，多媒体组件1108包括一个前置摄像头和/或后置摄像头。当UE1100处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件1110被配置为输出和/或输入音频信号。例如，音频组件1110包括一个麦克风(MIC)，当UE1100处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器1104或经由通信组件1116发送。在一些实施例中，音频组件1110还包括一个扬声器，用于输出音频信号。
I/O接口1112为处理组件1102和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件1113包括至少一个传感器，用于为UE1100提供各个方面的状态评估。例如，传感器组件1113可以检测到设备1100的打开/关闭状态，组件的相对定位，例如所述组件为UE1100的显示器和小键盘，传感器组件1113还可以检测UE1100或UE1100一个组件的位置改变，用户与UE1100接触的存在或不存在，UE1100方位或加速/减速和UE1100的温度变化。传感器组件1113可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件1113还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件1113还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件1116被配置为便于UE1100和其他设备之间有线或无线方式的通信。UE1100可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件1116经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件1116还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，UE1100可以被至少一个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述方法。
图12是本公开实施例所提供的一种网络侧设备1200的框图。例如，网络侧设备1200可以被提供为一网络侧设备。参照图12，网络侧设备1200包括处理组件1211，其进一步包括至少一个处理器，以及由存储器1232所代表的存储器资源，用于存储可由处理组件1222的执行的指令，例如应用程序。存储器1232中存储的应用程序可以包括一个或一个以上的每一个对应于一组指令的模块。此外，处理组件1212被配置为执行指令，以执行上述方法前述应用在所述网络侧设备的任意方法，例如，如图1所示方法。
网络侧设备1200还可以包括一个电源组件1226被配置为执行网络侧设备1200的电源管理，一个有线或无线网络接口1250被配置为将网络侧设备1200连接到网络，和一个输入输出(I/O)接口1258。网络侧设备1200可以操作基于存储在存储器1232的操作系统，例如Windows Server TM，Mac OS XTM，Unix TM,Linux TM，FreeBSDTM或类似。
上述本公开提供的实施例中，分别从网络侧设备、UE的角度对本公开实施例提供的方法进行了介绍。为了实现上述本公开实施例提供的方法中的各功能，网络侧设备和UE可以包括硬件结构、软件模块，以硬件结构、软件模块、或硬件结构加软件模块的形式来实现上述各功能。上述各功能中的某个功能可以以硬件结构、软件模块、或者硬件结构加软件模块的方式来执行。
上述本公开提供的实施例中，分别从网络侧设备、UE的角度对本公开实施例提供的方法进行了介绍。为了实现上述本公开实施例提供的方法中的各功能，网络侧设备和UE可以包括硬件结构、软件模块，以硬件结构、软件模块、或硬件结构加软件模块的形式来实现上述各功能。上述各功能中的某个功能可以以硬件结构、软件模块、或者硬件结构加软件模块的方式来执行。
本公开实施例提供的一种通信装置。通信装置可包括收发模块和处理模块。收发模块可包括发送模块和/或接收模块，发送模块用于实现发送功能，接收模块用于实现接收功能，收发模块可以实现发送功能和/或接收功能。
通信装置可以是终端设备(如前述方法实施例中的终端设备)，也可以是终端设备中的装置，还可以是能够与终端设备匹配使用的装置。或者，通信装置可以是网络设备，也可以是网络设备中的装置，还可以是能够与网络设备匹配使用的装置。
本公开实施例提供的另一种通信装置。通信装置可以是网络设备，也可以是终端设备(如前述方法实施例中的终端设备)，也可以是支持网络设备实现上述方法的芯片、芯片系统、或处理器等，还可以是支持终端设备实现上述方法的芯片、芯片系统、或处理器等。该装置可用于实现上述方法实施例中描述的方法，具体可以参见上述方法实施例中的说明。
通信装置可以包括一个或多个处理器。处理器可以是通用处理器或者专用处理器等。例如可以是基带处理器或中央处理器。基带处理器可以用于对通信协议以及通信数据进行处理，中央处理器可以用于对通信装置(如，网络侧设备、基带芯片，终端设备、终端设备芯片，DU或CU等)进行控制，执行计算机程序，处理计算机程序的数据。
可选的，通信装置中还可以包括一个或多个存储器，其上可以存有计算机程序，处理器执行所述计算机程序，以使得通信装置执行上述方法实施例中描述的方法。可选的，所述存储器中还可以存储有数据。通信装置和存储器可以单独设置，也可以集成在一起。
可选的，通信装置还可以包括收发器、天线。收发器可以称为收发单元、收发机、或收发电路等，用于实现收发功能。收发器可以包括接收器和发送器，接收器可以称为接收机或接收电路等，用于实现接收功能；发送器可以称为发送机或发送电路等，用于实现发送功能。
可选的，通信装置中还可以包括一个或多个接口电路。接口电路用于接收代码指令并传输至处理器。处理器运行所述代码指令以使通信装置执行上述方法实施例中描述的方法。
通信装置为终端设备(如前述方法实施例中的终端设备)：处理器用于执行图1-图4任一所示的方法。
通信装置为网络设备：收发器用于执行图5-图7任一所示的方法。
在一种实现方式中，处理器中可以包括用于实现接收和发送功能的收发器。例如该收发器可以是收发电路，或者是接口，或者是接口电路。用于实现接收和发送功能的收发电路、接口或接口电路可以是分开的，也可以集成在一起。上述收发电路、接口或接口电路可以用于代码/数据的读写，或者，上述收发电路、接口或接口电路可以用于信号的传输或传递。
在一种实现方式中，处理器可以存有计算机程序，计算机程序在处理器上运行，可使得通信装置执行上述方法实施例中描述的方法。计算机程序可能固化在处理器中，该种情况下，处理器可能由硬件实现。
在一种实现方式中，通信装置可以包括电路，所述电路可以实现前述方法实施例中发送或接收或者通信的功能。本公开中描述的处理器和收发器可实现在集成电路(integratedcircuit，IC)、模拟IC、射频集成电路RFIC、混合信号IC、专用集成电路(application specific integrated circuit，ASIC)、印刷电路板(printed circuit board，PCB)、电子设备等上。该处理器和收发器也可以用各种IC工艺技术来制造，例如互补金属氧化物半导体(complementary metal oxide semiconductor，CMOS)、N型金属氧化物半导体(nMetal-oxide-semiconductor，NMOS)、P型金属氧化物半导体(positive channel metal oxide semiconductor，PMOS)、双极结型晶体管(bipolar junction transistor，BJT)、双极CMOS(BiCMOS)、硅锗(SiGe)、砷化镓(GaAs)等。
以上实施例描述中的通信装置可以是网络设备或者终端设备(如前述方法实施例中的终端设备)，但本公开中描述的通信装置的范围并不限于此，而且通信装置的结构可以不受的限制。通信装置可以是独立的设备或者可以是较大设备的一部分。例如所述通信装置可以是：
(1)独立的集成电路IC，或芯片，或，芯片系统或子系统；
(2)具有一个或多个IC的集合，可选的，该IC集合也可以包括用于存储数据，计算机程序的存储部件；
(3)ASIC，例如调制解调器(Modem)；
(4)可嵌入在其他设备内的模块；
(5)接收机、终端设备、智能终端设备、蜂窝电话、无线设备、手持机、移动单元、车载设备、网络设备、云设备、人工智能设备等等；
(6)其他等等。
对于通信装置可以是芯片或芯片系统的情况，芯片包括处理器和接口。其中，处理器的数量可以是一个或多个，接口的数量可以是多个。
可选的，芯片还包括存储器，存储器用于存储必要的计算机程序和数据。
本领域技术人员还可以了解到本公开实施例列出的各种说明性逻辑块(illustrative logical block)和步骤(step)可以通过电子硬件、电脑软件，或两者的结合进行实现。这样的功能是通过硬件还是软件来实现取决于特定的应用和整个系统的设计要求。本领域技术人员可以对于每种特定的应用，可以使用各种方法实现所述的功能，但这种实现不应被理解为超出本公开实施例保护的范围。
本公开实施例还提供一种确定侧链路时长的系统，该系统包括前述实施例中作为终端设备(如前述方法实施例中的第一终端设备)的通信装置和作为网络设备的通信装置，或者，该系统包括前述实施例中作为终端设备(如前述方法实施例中的第一终端设备)的通信装置和作为网络设备的通信装置。
本公开还提供一种可读存储介质，其上存储有指令，该指令被计算机执行时实现上述任一方法实施例的功能。
本公开还提供一种计算机程序产品，该计算机程序产品被计算机执行时实现上述任一方法实施例的功能。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实 现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机程序。在计算机上加载和执行所述计算机程序时，全部或部分地产生按照本公开实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机程序可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机程序可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(digital subscriber line，DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如，软盘、硬盘、磁带)、光介质(例如，高密度数字视频光盘(digital video disc，DVD))、或者半导体介质(例如，固态硬盘(solid state disk，SSD))等。
本领域普通技术人员可以理解：本公开中涉及的第一、第二等各种数字编号仅为描述方便进行的区分，并不用来限制本公开实施例的范围，也表示先后顺序。
本公开中的至少一个还可以描述为一个或多个，多个可以是两个、三个、四个或者更多个，本公开不做限制。在本公开实施例中，对于一种技术特征，通过“第一”、“第二”、“第三”、“A”、“B”、“C”和“D”等区分该种技术特征中的技术特征，该“第一”、“第二”、“第三”、“A”、“B”、“C”和“D”描述的技术特征间无先后顺序或者大小顺序。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本发明的其它实施方案。本公开旨在涵盖本发明的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本发明的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (33)

  1. 一种信道估计方法，其特征在于，被终端设备UE执行，用于下行信道估计，包括：
    确定配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    向所述网络设备发送请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    获取所述网络设备发送的指定参考信号；
    基于所述指定参考信号执行对应的操作，以进行信道估计。
  2. 如权利要求1所述的方法，其特征在于，所述参考信号模式包括以下至少一种：
    参考信号模式一，所述参考信号模式一对应的参考信号用于训练人工智能AI模型和/或用于训练机器学习ML模型，其中，所述AI模型用于基于参考信号实现信道估计，所述ML模型用于基于参考信号实现信道估计；
    参考信号模式二，所述参考信号模式二对应的参考信号的作用包括用于训练所述AI模型、用于训练所述ML模型、用于评估所述AI模型、用于评估所述ML模型、用于基于所述AI模型进行信道估计、用于基于所述ML模型进行信道估计中的至少一种。
  3. 如权利要求1所述的方法，其特征在于，所述参考信号配置信息包括以下至少一种：
    参考信号的参考信号图样；
    参考信号的参考信号序列。
  4. 如权利要求2所述的方法，其特征在于，所述方法还包括：
    向网络设备上报能力信息，所述能力信息用于指示所述UE是否支持基于AI和/或ML信道估计的能力；
    所述能力信息用于指示以下至少一种：
    所述UE是否支持基于AI信道估计的能力；
    所述UE是否支持基于ML信道估计的能力；
    所述UE在对AI模型训练期间，是否支持数据传输；
    所述UE在对ML模型训练期间，是否支持数据传输。
  5. 如权利要求1或4所述的方法，其特征在于，所述确定配置信息的方法包括以下至少一种：
    基于协议约定确定所述配置信息；
    获取所述网络设备发送的所述配置信息。
  6. 如权利要求1或4所述的方法，其特征在于，所述向所述网络设备发送请求消息，包括：
    通过信令向所述网络设备发送请求消息。
  7. 如权利要求6所述的方法，其特征在于，所述请求消息包括以下至少一种：
    用于指示所述UE请求的参考信号模式的第一指示信息；
    用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
    所述UE请求的参考信号配置信息对应的时域位置。
  8. 如权利要求6所述的方法，其特征在于，所述请求消息包括以下至少一种：
    用于指示所述UE请求的参考信号模式的第一指示信息；
    用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
    所述UE建议的所述网络设备对于所述配置信息的配置周期；
    所述UE建议的所述配置周期内所述参考信号模式一对应的参考信号配置信息的第一时域位置；
    所述UE建议的所述配置周期内所述参考信号模式二对应的参考信号配置信息的第二时域位置。
  9. 如权利要求2或4所述的方法，其特征在于，所述指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息相同。
  10. 如权利要求9所述的方法，其特征在于，所述获取所述网络设备发送的参考信号，包括：
    获取网络设备发送的所述指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式；
    基于所述指定参考信号配置信息或者所述UE请求的参考信号配置信息获取所述指定参考信号。
  11. 如权利要求9所述的方法，其特征在于，所述获取所述网络设备发送的参考信号，包括：
    当所述UE在预设时间段内未接收到所述网络设备发送的指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式，基于所述UE请求的参考信号配置信息获取所述指定参考信号。
  12. 如权利要求2或4所述的方法，其特征在于，所述指定参考信号的指定参考信号配置信息与所述UE请求的参考信号配置信息不同。
  13. 如权利要求12所述的方法，其特征在于，所述获取所述网络设备发送的参考信号，包括：
    获取网络设备发送的所述指定参考信号对应的指定参考信号配置信息和/或所述指定参考信号对应的指定参考信号模式，其中，所述指定参考信号模式为所述UE支持的参考信号模式，所述指定参考信号配置信息为所述UE支持的参考信号配置信息；
    基于所述指定参考信号配置信息获取所述指定参考信号。
  14. 如权利要求10或11或13所述的方法，其特征在于，所述基于所述指定参考信号执行对应的操作，包括：
    当所述指定参考信号对应的参考信号模式为参考信号模式一，所述对应的操作包括：所述UE基于所述参考信号对所述AI模型进行训练，和/或，所述UE基于所述参考信号对所述ML模型进行训练；
    当所述指定参考信号对应的参考信号模式为参考信号模式二，所述对应的操作包括以下至少一种：
    所述UE基于所述参考信号对所述AI模型进行训练；
    所述UE基于所述参考信号对所述ML模型进行训练；
    所述UE基于所述参考信号和AI模型进行信道估计；
    所述UE基于所述参考信号和ML模型进行信道估计；
    所述UE基于所述参考信号对所述AI模型进行评估；
    所述UE基于所述参考信号对所述ML模型进行评估。
  15. 一种信道估计方法，其特征在于，被网络设备执行，用于下行信道估计，包括：
    向UE发送配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    获取所述UE发送的请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    基于所述请求消息向所述UE发送指定参考信号。
  16. 如权利要求15所述的方法，其特征在于，所述参考信号模式包括以下至少一种：
    参考信号模式一，所述参考信号模式一对应的参考信号用于训练AI和/或用于训练机器学习ML模型，其中，所述AI模型用于基于参考信号实现信道估计，所述ML模型也用于基于参考信号实现信道估计；
    参考信号模式二，所述参考信号模式二对应的参考信号的作用包括用于训练所述AI、用于训练所述ML模型、用于评估所述AI模型、用于评估所述ML模型、用于基于所述AI模型进行信道估计、用于基于所述ML模型进行信道估计中的至少一种。
  17. 如权利要求15所述的方法，其特征在于，所述参考信号配置信息包括以下至少一种：
    参考信号的参考信号图样；
    参考信号的参考信号序列。
  18. 如权利要求16所述的方法，其特征在于，所述方法还包括：
    接收所述UE上报的能力信息，所述能力信息用于指示所述UE是否支持基于AI和/或ML信道估计的能力；
    所述能力信息用于指示以下至少一种：
    所述UE是否支持基于AI信道估计的能力；
    所述UE是否支持基于ML信道估计的能力；
    所述UE在对AI模型训练期间，是否支持数据传输；
    所述UE在对ML模型训练期间，是否支持数据传输。
  19. 如权利要求18所述的方法，其特征在于，所述向UE发送配置信息，包括：
    当所述能力信息指示所述UE支持基于AI和/或ML信道估计的能力，向所述UE发送所述配置信息。
  20. 如权利要求15或18所述的方法，其特征在于，所述获取所述UE发送的请求消息，包括：
    获取所述UE通过信令发送的所述请求消息。
  21. 如权利要求20所述的方法，其特征在于，所述请求消息包括以下至少一种：
    用于指示所述UE请求的参考信号模式的第一指示信息；
    用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
    所述UE请求的参考信号配置信息对应的时域位置。
  22. 如权利要求20所述的方法，其特征在于，所述请求消息包括以下至少一种：
    用于指示所述UE请求的参考信号模式的第一指示信息；
    用于指示所述UE请求的参考信号模式对应的参考信号配置信息的第二指示信息；
    所述UE建议的所述网络设备对于所述配置信息的配置周期；
    所述UE建议的所述配置周期内所述参考信号模式一对应的参考信号配置信息的第一时域位置；
    所述UE建议的配置周期内所述参考信号模式二对应的参考信号配置信息的第二时域位置。
  23. 如权利要求15所述的方法，其特征在于，所述基于所述请求消息向所述UE发送指定参考信号，包括：
    基于所述请求消息所请求的参考信号模式和/或参考信号配置信息向所述UE发送所述指定参考信号。
  24. 如权利要求15所述的方法，其特征在于，所述基于所述请求消息向所述UE发送指定参考信号，包括：
    确定指定参考信号模式和/或指定参考信号模式对应的至少一种指定参考信号配置信息，其中，所述指定参考信号配置信息与所述UE请求的参考信号配置信息不同，所述指定参考信号模式与所述UE请求的参考信号模式相同或不同，并且，所述指定参考信号模式为所述UE支持的参考信号模式，所述指定参考信号配置信息为所述UE支持的参考信号配置信息；
    基于所述指定参考信号模式和/或指定参考信号配置信息向所述UE发送所述指定参考信号。
  25. 如权利要求23或24所述的方法，其特征在于，所述方法还包括：
    向所述UE发送所述指定参考信号对应的指定参考信号模式和/或指定参考信号配置信息。
  26. 一种信道估计装置，其特征在于，包括：
    确定模块，用于确定配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    发送模块，用于向所述网络设备发送请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    获取模块，用于获取所述网络设备发送的指定参考信号；
    处理模块，用于基于所述指定参考信号执行对应的操作，以进行信道估计。
  27. 一种信道估计装置，其特征在于，包括：
    第一发送模块，用于向UE发送配置信息，所述配置信息包括网络设备支持的参考信号模式，和/或，网络设备支持的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    获取模块，用于获取所述UE发送的请求消息，所述请求消息用于请求参考信号模式，和/或，用于请求所述UE请求的参考信号模式对应的至少一种参考信号的参考信号配置信息；
    第二发送模块，用于基于所述请求消息向所述UE发送指定参考信号。
  28. 一种通信装置，其特征在于，所述装置包括处理器和存储器，其中，所述存储器中存储有计算机程序，所述处理器执行所述存储器中存储的计算机程序，以使所述装置执行如权利要求1至14中任 一项所述的方法。
  29. 一种通信装置，其特征在于，所述装置包括处理器和存储器，其中，所述存储器中存储有计算机程序，所述处理器执行所述存储器中存储的计算机程序，以使所述装置执行如权利要求15至25中任一项所述的方法。
  30. 一种通信装置，其特征在于，包括：处理器和接口电路，其中
    所述接口电路，用于接收代码指令并传输至所述处理器；
    所述处理器，用于运行所述代码指令以执行如权利要求1至14中任一项所述的方法。
  31. 一种通信装置，其特征在于，包括：处理器和接口电路，其中
    所述接口电路，用于接收代码指令并传输至所述处理器；
    所述处理器，用于运行所述代码指令以执行如权利要求15至25中任一项所述的方法。
  32. 一种计算机可读存储介质，用于存储有指令，当所述指令被执行时，使如权利要求1至14中任一项所述的方法被实现。
  33. 一种计算机可读存储介质，用于存储有指令，当所述指令被执行时，使如权利要求15至25中任一项所述的方法被实现。
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