CN116506038A - Measurement method, device, communication equipment and readable storage medium - Google Patents
Measurement method, device, communication equipment and readable storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/309—Measuring or estimating channel quality parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
- H04B17/391—Modelling the propagation channel
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0048—Allocation of pilot signals, i.e. of signals known to the receiver
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
Abstract
The embodiment of the application provides a measuring method, a measuring device, a communication device and a readable storage medium, wherein the measuring method comprises the following steps: and the terminal measures the channel quality according to the DMRS resources and reports the measurement result.
Description
Technical Field
The embodiment of the application relates to the technical field of communication, in particular to a measuring method, a measuring device, communication equipment and a readable storage medium.
Background
In existing channel estimation, demodulation reference signals (Demodulation Reference Signal, DMRS) are transmitted along with a data channel. And detecting the DMRS to obtain channels at the time-frequency positions corresponding to the DMRS, and obtaining channel information at other time-frequency positions by adopting algorithms such as wiener filtering, interpolation and the like.
There are studies currently being made to use artificial intelligence (Artificial Intelligence, AI) algorithms instead of conventional DMRS channel estimation algorithms in an attempt to improve the channel estimation accuracy or reduce the DMRS overhead of channel estimation. For example, the channel estimation results at the pilot positions can be used as the input of the neural network, and the channel estimation results of all the time-frequency resource blocks can be used as the output of the neural network. In order to obtain the ideal performance, a great amount of training data obtained based on the downlink channel estimation result of the DMRS is needed to obtain the neural network with better performance. Because of the high computational power and storage power required for training the neural network, the training of the model by the network side is considered. However, the current technology does not support the network side to acquire the downlink channel estimation result based on the DMRS.
Disclosure of Invention
The embodiment of the application provides a measurement method, a device, communication equipment and a readable storage medium, which solve the problem of how to acquire a downlink channel estimation result based on a DMRS by a network side.
In a first aspect, a measurement method is provided, applied to a terminal, including:
and the terminal measures the channel quality according to the DMRS resources and reports the measurement result.
Optionally, the method further comprises:
the terminal receives configuration information of network side equipment, wherein the configuration information at least comprises one of the following components:
configuration information of uplink resources;
configuration information of K DMRS resources, wherein K is a positive integer;
configuration information of associated DMRS resources.
Optionally, when the configuration information at least includes configuration information of the uplink resource, the uplink resource is periodic, or the uplink resource is activated by the network side device through MAC-CE or DCI.
Optionally, when the configuration information at least includes configuration information of the uplink resource, the uplink resource is activated by the terminal through a PUCCH.
Optionally, the measurement results are used to train a channel estimation model.
Optionally, the method further comprises:
the terminal sends first information, wherein the first information is used for requesting an updated channel estimation model to network side equipment;
the terminal receives the channel estimation model from the network side equipment.
Optionally, the terminal sends the first information, including:
and under the condition that the terminal judges that the channel estimation error of the current channel estimation model is larger than a first preset threshold, the terminal sends first information to the network side equipment.
Optionally, the terminal sends first information to the network side device, including:
and the terminal sends the first information to the network equipment through the PUCCH or the MAC-CE.
In a second aspect, a measurement method is provided, applied to a network side device, and includes:
the network side equipment acquires a measurement result, wherein the measurement result is obtained by the terminal according to the channel quality measurement of the DMRS resource.
Optionally, the method further comprises:
the network side equipment sends configuration information to the terminal, wherein the configuration information at least comprises one of the following components:
configuration information of uplink resources;
configuration information of K DMRS resources, wherein K is a positive integer;
configuration information of associated DMRS resources.
Optionally, when the configuration information at least includes configuration information of the uplink resource, the uplink resource is periodic, or the uplink resource is activated by the network side device through MAC-CE or DCI.
Optionally, when the configuration information at least includes configuration information of the uplink resource, the uplink resource is activated by the terminal through a PUCCH.
Optionally, the method further comprises:
and the network side equipment trains the channel estimation model according to the measurement result.
Optionally, the method further comprises:
the network side equipment receives first information sent by the terminal, wherein the first information is used for requesting an updated channel estimation model from the network side equipment;
the network side equipment updates the channel estimation model according to the first information;
and the network side equipment sends the updated channel estimation model to the terminal.
Optionally, the network side device receives the first information sent by the terminal, including:
and the network side equipment receives the first information sent by the terminal through the PUCCH or the MAC-CE.
In a third aspect, there is provided a measurement device for use in a terminal, comprising:
and the first processing module is used for measuring the channel quality according to the DMRS resources and reporting the measurement result.
In a fourth aspect, a measurement apparatus is provided, which is applied to a network side device, and includes:
and the first acquisition module is used for acquiring a measurement result, wherein the measurement result is obtained by the terminal according to the channel quality measured by the DMRS resource.
In a fifth aspect, there is provided a communication device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, the program or instruction when executed by the processor implementing the steps of the method according to the first or second aspect.
In a sixth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor implement the steps of the method according to the first or second aspect.
In the embodiment of the application, the terminal can measure the channel quality according to the DMRS resources, so that the terminal can acquire an accurate downlink channel estimation result based on the DMRS, and the terminal can report the measurement result to the network side equipment, so that the network side equipment can perform channel estimation model training according to the measurement result.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is one of the flowcharts of the measurement method provided in the embodiments of the present application;
FIG. 2 is a second flowchart of a measurement method according to an embodiment of the present disclosure;
fig. 3 is a flowchart of a channel estimation model training method provided in an embodiment of the present application;
fig. 4 is a flowchart of a channel estimation method provided in an embodiment of the present application;
fig. 5 is a schematic diagram of DMRS pattern1 provided in an embodiment of the present application;
fig. 6 is a schematic diagram of DMRS pattern2 provided in an embodiment of the present application;
fig. 7 is a flowchart of a terminal trigger model update provided in an embodiment of the present application;
FIG. 8 is one of the schematic diagrams of the measuring apparatus provided in the embodiments of the present application;
FIG. 9 is a second schematic diagram of a measurement device according to an embodiment of the present disclosure;
fig. 10 is a schematic diagram of a communication device provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus. Furthermore, the use of "and/or" in the specification and claims means at least one of the connected objects, e.g., a and/or B, meaning that it includes a single a, a single B, and that there are three cases of a and B.
In the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the data transmission process, a channel corresponding to each data stream is obtained through demodulation reference signals (Demodulation Reference Signal, DMRS), so that the data of each stream is detected. In a New Radio (NR) system, there are two DMRS types, and the type and structure of the DMRS may be configured by Radio resource control (Radio Resource Control, RRC), and by configuration at the network side, the terminal may obtain the time domain position where the DMRS is located, so as to perform channel estimation. Two existing DMRS types for NR are as follows:
type1 (Type 1): 1 DMRS symbol: comb 2+ Frequency Domain (FD) -orthogonal code (Orthogonal Cover Code, OCC), supporting a maximum of 4 orthogonal antenna ports; 2 DMRS symbols: comb 2+fd-occ+time Domain (TD-OCC), supporting a maximum of 8 orthogonal antenna ports;
type1 (Type 2): 1 DMRS symbol: 2-FD-OCC is carried out on a frequency domain adjacent Resource unit (RE) to support 6 orthogonal antenna ports at maximum; 2 DMRS symbols: and 2-FD-OCC is carried out on adjacent RE in the frequency domain, TD-OCC is carried out in the time domain, and maximum 12 orthogonal antenna ports are supported.
The DMRS of the 5G NR may employ a DMRS pilot structure in which a pre-DMRS pilot is combined with an additional DMRS pilot whose time domain density is configurable. Each set of additional DMRS pilot patterns is a repetition of the pre-DMRS pilot, i.e., each set of additional DMRS occupies the same subcarrier and the same number of OFDM symbols as the pre-DMRS pilot. According to a specific scene, at most 3 groups of additional pilots can be added when the single-symbol pre-DMRS is arranged, at most 1 group of additional pilots can be added when the double-symbol pre-DMRS is arranged, and the configuration is carried out according to the needs and indicated through control signaling. The number of symbols occupied by the pre-DMRS, the number of additional DMRS, may be configured by RRC.
In existing channel estimation, DMRS is transmitted together with a data channel. And detecting the DMRS to obtain channels at the time-frequency positions corresponding to the DMRS, and obtaining channel information at other time-frequency positions by adopting algorithms such as wiener filtering, interpolation and the like.
There are studies currently being made to use artificial intelligence (Artificial Intelligence, AI) algorithms instead of conventional DMRS channel estimation algorithms in an attempt to improve the channel estimation accuracy or reduce the DMRS overhead of channel estimation. For example, the channel estimation results at the pilot positions can be used as the input of the neural network, and the channel estimation results of all the time-frequency resource blocks can be used as the output of the neural network. To achieve the desired performance, a large amount of training data is required to obtain a neural network with superior performance.
Referring to fig. 1, an embodiment of the present application provides a measurement method, where an execution body of the method includes a terminal, and specific steps include: step 101.
Step 101: and the terminal measures the channel quality according to the DMRS resources and reports the measurement result.
The associated DMRS resource may be a periodic DMRS resource, or may also be a DMRS resource triggered by a media access Control (Media Access Control, MAC) -Control Element (CE) or downlink Control information (Downlink Control Information, DCI), where the triggering manner of the MAC-CE may be triggering 1 or more DMRS transmissions. If the DMRS transmission is triggered for multiple times, the transmission times can be configured.
In one embodiment of the present application, the method further comprises:
the terminal receives configuration information of network side equipment, wherein the configuration information at least comprises one of the following components:
(1) Configuration information of uplink resources;
the uplink resource is used for measuring a measurement result of channel quality.
(2) Configuration information of K DMRS resources, wherein K is a positive integer;
(3) Configuration information of associated DMRS resources.
In an embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is periodic, or the uplink resource is activated by a network side device through MAC-CE or DCI.
In one embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is activated by the terminal through a PUCCH.
In one embodiment of the present application, the measurement results are used to train a channel estimation model.
The channel estimation model is used for simulating downlink channel estimation by the terminal, so that the downlink channel quality can be estimated by using the channel estimation model and historical data under the condition that the terminal does not need to receive a measurement signal, and the downlink channel quality obtained by the channel estimation model is fed back to a network side.
In one embodiment of the present application, the method further comprises:
the terminal sends first information, wherein the first information is used for requesting an updated channel estimation model to network side equipment;
the terminal receives the channel estimation model from the network side equipment;
in one embodiment of the present application, the terminal sends first information, including:
and under the condition that the terminal judges that the channel estimation error of the current channel estimation model is larger than a first preset threshold, first information is sent to the network side equipment.
In one embodiment of the present application, sending the first information to the network side device includes:
the first information is transmitted to the network side device through a physical uplink control channel (Physical Uplink Control Channel, PUCCH) or MAC-CE.
In the embodiment of the application, the terminal can measure the channel quality according to the DMRS resources, so that the terminal can acquire an accurate downlink channel estimation result based on the DMRS, and the terminal can report the measurement result to the network side equipment, so that the network side equipment can perform channel estimation model training according to the measurement result.
Referring to fig. 2, an embodiment of the present application provides a measurement method, where an execution body of the method includes a network side device, such as a base station or other network elements, and specific steps include: step 201.
Step 201: the network side equipment acquires a measurement result, wherein the measurement result is obtained by the terminal according to the channel quality measurement of the DMRS resource.
In one embodiment of the present application, the method further comprises:
the network side equipment sends configuration information to the terminal, wherein the configuration information at least comprises one of the following components:
(1) Configuration information of uplink resources;
(2) Configuration information of K DMRS resources, wherein K is a positive integer;
(3) Configuration information of associated DMRS resources.
In one embodiment of the present application, the associated DMRS resources are periodic, or are MAC-CE or DCI triggered.
In an embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is periodic, or the uplink resource is activated by a network side device through MAC-CE or DCI.
In one embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is activated by the terminal through a PUCCH.
In one embodiment of the present application, the method further comprises:
and the network side equipment trains the channel estimation model according to the measurement result.
In one embodiment of the present application, the method further comprises:
the network side equipment receives first information sent by the terminal, wherein the first information is used for requesting an updated channel estimation model from the network side equipment;
the network side equipment updates the channel estimation model according to the first information;
the network side equipment sends the updated channel estimation model to the terminal;
in an embodiment of the present application, the network side device receives first information sent by the terminal, including:
and the network side equipment receives the first information sent by the terminal through the PUCCH or the MAC-CE.
In the embodiment of the application, the terminal can measure the channel quality according to the DMRS resources, so that the terminal can acquire an accurate downlink channel estimation result based on the DMRS, and the terminal can report the measurement result to the network side equipment, so that the network side equipment can perform channel estimation model training according to the measurement result.
Referring to fig. 3, an embodiment of the present application provides a channel estimation model training method, where an executor body of the method includes network side equipment, such as a base station or other network elements, and specific steps include: step 301 and step 302.
Step 301: acquiring channel information on a time-frequency resource position where the DMRS is located and/or channel information on a target time-frequency resource position;
the channel information at the time-frequency resource position where the DMRS is located may represent a measurement result obtained by the terminal performing channel quality measurement at the time-frequency resource position where the DMRS is located.
The channel information (e.g., channel information of 16 physical resource blocks (Physical Resource Block, PRBs)) at the target time-frequency resource location may represent a measurement result obtained by the terminal performing channel quality measurement at the target time-frequency resource location.
It may be understood that the network side device may obtain channel information on the time-frequency resource location where the DMRS is located and/or channel information on the target time-frequency resource location where the DMRS is located, where the channel information on the time-frequency resource location where the DMRS is located and/or the channel information on the target time-frequency resource location where the DMRS is located, where the DMRS is sent by the multiple terminals may form a training dataset or a test dataset of the channel estimation model, and those skilled in the art may set specific content included in the channel information on the time-frequency resource location where the DMRS is located and/or the channel information on the target time-frequency resource location according to the accuracy requirement of the channel estimation model, which is not specifically limited in the embodiments of the present application.
Step 302: and training the channel estimation model according to the channel information on the time-frequency resource position where the DMRS is positioned and/or the channel information on the target time-frequency resource position to obtain a trained channel estimation model.
It will be appreciated that the terminal may predict the channel estimation result based on historical data and the channel estimation model on the basis that channel estimation is not required. The channel estimation model herein may also be described as a neural network, or may also be described as an AI model, or the like.
In one embodiment of the present application, the method further comprises:
transmitting the first DMRS pattern (or described as DMRS pattern1, see fig. 5) and/or the second DMRS pattern (or described as DMRS pattern2, see fig. 6) to the terminal;
the first DMRS pattern is used for the terminal to report the channel information on the time-frequency resource position where the DMRS is located, and the second DMRS pattern is used for the terminal to report the channel information on the target time-frequency resource position.
In order to acquire channel information at the DMRS position, a first DMRS pattern (DMRS pattern 1) applicable to the AI model may be designed, and the first DMRS pattern may occupy less time-frequency resources than the conventional DMRS;
in order to acquire channel information on the target time-frequency resource size, a second DMRS pattern (DMRS pattern 2) with a higher density may be designed to acquire channels on some physical resource blocks.
In one embodiment of the present application, the method further comprises:
transmitting configuration information, wherein the configuration information at least comprises one of the following components: the method comprises the following steps of (1) configuring information of uplink resources; (2) configuration information of K DMRS resources, wherein K is a positive integer; (3) configuration information of the associated DMRS resources.
In one embodiment of the present application, the associated DMRS resources are periodic, or are MAC-CE or DCI triggered.
In one embodiment of the present application, the uplink resources are periodic, or the number of uplink resources is one or more.
In one embodiment of the present application, the method further comprises:
and sending a channel estimation model to a terminal according to the local trigger of the network side equipment.
In one embodiment of the present application, according to the triggering of the network side device locally, sending a channel estimation model to a terminal includes:
and under the condition that the error of the channel estimation result of the network side equipment judging terminal is larger than a preset threshold (for example, the network side equipment is poor in identifying channel estimation performance), or under the condition that the network side equipment judges that the terminal needs to update a channel estimation model (for example, the network side equipment judges that the network side equipment has a better channel estimation model), the network side equipment actively transmits the channel estimation model to the terminal.
In another embodiment of the present application, the method further comprises:
receiving first information, wherein the first information is used for requesting to update a channel estimation model;
and according to the first information, the updated channel estimation model is sent to the terminal.
In one embodiment of the present application, the receiving the first information includes:
in the embodiment of the application, the terminal may report the measurement result based on the DMRS to the network side device, so that the network side device performs channel estimation model training based on the measurement result.
Referring to fig. 4, an embodiment of the present application provides a channel estimation method, where an execution body of the method may be a terminal, and specific steps include:
step 401: obtaining a channel estimation model, wherein the channel estimation model is obtained by training network side equipment according to channel information on a time-frequency resource position where the DMRS is positioned and/or channel information on a target time-frequency resource position;
step 402: and carrying out channel estimation according to the channel estimation model.
In one embodiment of the present application, the method further comprises:
and sending the channel information at the time-frequency resource position where the DMRS is positioned and/or the channel information at the target time-frequency resource position, and reporting the measurement result to the network side equipment by the terminal.
In one embodiment of the present application, the method further comprises:
receiving a first DMRS pattern (or described as DMRS pattern1, see fig. 5) and/or a second DMRS pattern (or described as DMRS pattern2, see fig. 6);
the first DMRS pattern is used for the terminal to report the channel information on the time-frequency resource position where the DMRS is located, and the second DMRS pattern is used for the terminal to report the channel information on the target time-frequency resource position.
In one embodiment of the present application, the method further comprises:
receiving configuration information, wherein the configuration information at least comprises one of the following: the method comprises the following steps of (1) configuring information of uplink resources; (2) configuration information of K DMRS resources, wherein K is a positive integer; (3) configuration information of the associated DMRS resources.
In one embodiment of the present application, obtaining a channel estimation model includes:
transmitting first information, wherein the first information is used for requesting to update a channel estimation model;
and receiving the channel estimation model from the network side equipment.
In one embodiment of the present application, the sending the first information includes:
and under the condition that the terminal judges that the channel estimation error of the current channel estimation model is larger than a preset threshold, first information is sent to the network side equipment.
For example, the terminal receives the periodic first DMRS pattern and the second DMRS pattern, verifies the performance of the current channel estimation model according to the channel estimation result, and if the channel estimation error is greater than a preset threshold, the terminal sends a channel estimation model update request.
In one embodiment of the present application, sending the first information to the network side device includes:
and sending the first information to the network equipment through the PUCCH or the MAC-CE.
In the embodiment of the application, the terminal may report the measurement result based on the DMRS to the network side device, so that the network side device performs channel estimation model training based on the measurement result.
It will be appreciated that the embodiment shown in fig. 4 may be performed on the basis of the embodiment shown in fig. 1.
Referring to fig. 7, a flow of UE triggered channel estimation model update is illustrated.
The method comprises the following specific steps:
step 1: and the network side equipment sends configuration information to the terminal.
The configuration information includes at least one of: the method comprises the following steps of (1) configuring information of uplink resources; (2) configuration information of K DMRS resources, wherein K is a positive integer; (3) configuration information of the associated DMRS resources.
Step 2: the network device provides the DMRS pattern1 and the DMRS pattern2 to the terminal.
Step 3: and the terminal sends a measurement result to the network side equipment, namely, the terminal feeds back the received signal/channel estimation result.
Step 4: and the network side equipment carries out channel estimation model training according to the measurement result.
Step 5: the network side equipment sends the channel estimation model to the terminal.
Step 6: and the terminal carries out channel estimation according to the channel estimation model.
Step 7: the terminal requests the network side equipment to update the channel estimation model.
Step 8: the network side equipment updates the channel estimation model and transmits the updated channel estimation model to the terminal.
The DMRS pattern1 is the same as a conventional DMRS transmission/reception mechanism, and is transmitted/received together with a scheduled PDSCH/PUSCH; for DMRS pattern2, since the DMRS pattern occupies more time-frequency resources, the transmission/reception of the DMRS pattern can be triggered by MAC-CE or DCI when the UE is idle. For example, the RRC configures the number of bandwidths, the number of slots (slots), and the density occupied by pattern2, and triggers its transmission/reception through MAC-CE/DCI, where the transmission mode may be single transmission/reception or N consecutive transmission/reception. If the network side configures the UE to report the channel estimation information, the configuration information comprises associated DMRS and uplink resource information. And the UE uses the associated DMRS to perform channel estimation, and uses the associated uplink resource information to report the channel estimation information.
The associated DMRS may be periodic DMRS, or may be triggered by MAC-CE or DCI, where the triggering manner of the MAC-CE may be triggering 1 or more DMRS transmissions. If the DMRS transmission is triggered for multiple times, the transmission times can be configured. The associated uplink resources may be periodic resources or may be single or multiple uplink resources.
In this embodiment, a new DMRS pattern and a corresponding receiving/transmitting manner are provided, conditions are provided for the UE to obtain an accurate channel estimation result, and the terminal may report a measurement result based on the DMRS to the network side device, so that the network side device performs channel estimation model training based on the measurement result.
Referring to fig. 8, an embodiment of the present application provides a measurement apparatus, which is applied to a terminal, and the apparatus 800 includes:
the first processing module 801 is configured to measure channel quality according to the DMRS resource, and report a measurement result.
In one embodiment of the present application, the apparatus 800 further comprises:
the first receiving module is configured to receive configuration information of a network side device, where the configuration information at least includes one of the following:
(1) Configuration information of uplink resources;
(2) Configuration information of K DMRS resources, wherein K is a positive integer;
(3) Configuration information of associated DMRS resources.
In an embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is periodic, or the uplink resource is activated by a network side device through MAC-CE or DCI.
In one embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is activated by the terminal through a PUCCH.
In one embodiment of the present application, the measurement results are used to train a channel estimation model.
In one embodiment of the present application, the apparatus 800 further comprises:
the first sending module is used for sending first information, wherein the first information is used for requesting updated channel estimation models from network side equipment;
a second receiving module, configured to receive the channel estimation model from the network side device;
in one embodiment of the present application, the first sending module is further configured to:
and under the condition that the terminal judges that the channel estimation error of the current channel estimation model is larger than a first preset threshold, first information is sent to the network side equipment.
In one embodiment of the present application, the first sending module is further configured to: and sending the first information to the network equipment through the PUCCH or the MAC-CE.
The device provided in this embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 1, and achieve the same technical effects, so that repetition is avoided, and details are not repeated here.
Referring to fig. 9, an embodiment of the present application provides a measurement apparatus applied to a network-side device, such as a base station or other network elements, where the apparatus 900 includes:
a first obtaining module 901, configured to obtain a measurement result, where the measurement result is obtained by the terminal according to the measurement of the channel quality by the DMRS resource.
In one embodiment of the present application, the apparatus 900 further includes:
the second sending module is used for sending configuration information to the terminal, and the configuration information at least comprises one of the following components:
(1) Configuration information of uplink resources;
(2) Configuration information of K DMRS resources, wherein K is a positive integer;
(3) Configuration information of associated DMRS resources.
In an embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is periodic, or the uplink resource is activated by a network side device through MAC-CE or DCI.
In one embodiment of the present application, when the configuration information includes at least configuration information of the uplink resource, the uplink resource is activated by the terminal through a PUCCH.
In one embodiment of the present application, the apparatus 900 further includes:
and the training module is used for training the channel estimation model according to the measurement result.
In one embodiment of the present application, the apparatus 900 further includes:
the third receiving module is used for receiving first information sent by the terminal, wherein the first information is used for requesting an updated channel estimation model from network side equipment;
the updating module is used for updating the channel estimation model according to the first information by the network side equipment;
and the third sending module is used for sending the updated channel estimation model to the terminal.
In one embodiment of the present application, the third receiving module is further configured to: and receiving the first information sent by the terminal through the PUCCH or the MAC-CE.
The device provided in this embodiment of the present application can implement each process implemented by the method embodiment shown in fig. 2, and achieve the same technical effects, so that repetition is avoided, and details are not repeated here.
As shown in fig. 10, the embodiment of the present application further provides a communication device 1000, including a processor 1001, a memory 1002, and a program or an instruction stored in the memory 1002 and capable of running on the processor 1001, where the program or the instruction implements each process of the method embodiment of fig. 1 or fig. 2 described above when executed by the processor 1001, and achieves the same technical effect. In order to avoid repetition, a description thereof is omitted.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the processes of the embodiment of the method shown in fig. 1 or fig. 2 are implemented, and the same technical effects can be achieved, so that repetition is avoided, and no further description is provided herein.
Wherein the processor is a processor in the terminal described in the above embodiment. The readable storage medium includes a computer readable storage medium such as a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.
The steps of a method or algorithm described in connection with the disclosure herein may be embodied in hardware, or may be embodied in software instructions executed by a processor. The software instructions may be comprised of corresponding software modules that may be stored in RAM, flash memory, ROM, EPROM, EEPROM, registers, hard disk, a removable disk, a read-only optical disk, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. In addition, the ASIC may be carried in a core network interface device. The processor and the storage medium may reside as discrete components in a core network interface device.
Those of skill in the art will appreciate that in one or more of the examples described above, the functions described herein may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The foregoing embodiments have been provided for the purpose of illustrating the technical solution and advantageous effects of the present application in further detail, and it should be understood that the foregoing embodiments are merely illustrative of the present application and are not intended to limit the scope of the present application, and any modifications, equivalents, improvements, etc. made on the basis of the technical solution of the present application should be included in the scope of the present application.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the embodiments of the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to encompass such modifications and variations.
Claims (19)
1. A measurement method applied to a terminal, comprising:
and the terminal measures the channel quality according to the demodulation reference signal (DMRS) resources and reports the measurement result.
2. The method according to claim 1, wherein the method further comprises:
the terminal receives configuration information of network side equipment, wherein the configuration information at least comprises one of the following components:
configuration information of uplink resources;
configuration information of K DMRS resources, wherein K is a positive integer;
configuration information of associated DMRS resources.
3. The method according to claim 2, characterized in that the uplink resources are periodic or the uplink resources are activated by the network side device via a medium access control unit MAC-CE or downlink control information DCI when the configuration information at least comprises configuration information of the uplink resources.
4. The method according to claim 2, characterized in that the uplink resources are activated by the terminal through a physical uplink control channel, PUCCH, when the configuration information comprises at least configuration information of the uplink resources.
5. The method of claim 1, wherein the measurements are used to train a channel estimation model.
6. The method of claim 5, wherein the method further comprises:
the terminal sends first information, wherein the first information is used for requesting an updated channel estimation model to network side equipment;
the terminal receives the channel estimation model from the network side equipment.
7. The method of claim 6, wherein the terminal transmits the first information, comprising:
and under the condition that the terminal judges that the channel estimation error of the current channel estimation model is larger than a first preset threshold, the terminal sends first information to the network side equipment.
8. The method according to claim 7, wherein the terminal sends the first information to the network side device, including:
and the terminal sends the first information to the network equipment through the PUCCH or the MAC-CE.
9. A measurement method applied to a network side device, comprising:
the network side equipment acquires a measurement result, wherein the measurement result is obtained by the terminal according to the channel quality measurement of the DMRS resource.
10. The method according to claim 9, wherein the method further comprises:
the network side equipment sends configuration information to the terminal, wherein the configuration information at least comprises one of the following components:
configuration information of uplink resources;
configuration information of K DMRS resources, wherein K is a positive integer;
configuration information of associated DMRS resources.
11. The method of claim 10, wherein the uplink resource is periodic or the uplink resource is activated by a network side device through MAC-CE or DCI when the configuration information includes at least configuration information of the uplink resource.
12. The method of claim 10, wherein the uplink resource is activated by the terminal through a PUCCH when the configuration information includes at least configuration information of the uplink resource.
13. The method according to claim 9, wherein the method further comprises:
and the network side equipment trains the channel estimation model according to the measurement result.
14. The method of claim 13, wherein the method further comprises:
the network side equipment receives first information sent by the terminal, wherein the first information is used for requesting an updated channel estimation model from the network side equipment;
the network side equipment updates the channel estimation model according to the first information;
and the network side equipment sends the updated channel estimation model to the terminal.
15. The method according to claim 14, wherein the network side device receives the first information sent by the terminal, including:
and the network side equipment receives the first information sent by the terminal through the PUCCH or the MAC-CE.
16. A measurement device for use in a terminal, comprising:
and the first processing module is used for measuring the channel quality according to the DMRS resources and reporting the measurement result.
17. A measurement apparatus applied to a network-side device, comprising:
and the first acquisition module is used for acquiring a measurement result, wherein the measurement result is obtained by the terminal according to the channel quality measured by the DMRS resource source.
18. A communication device comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor implements the steps of the method of any of claims 1 to 15.
19. A readable storage medium, characterized in that it stores thereon a program or instructions which, when executed by a processor, implement the steps of the method according to any of claims 1 to 15.
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| CN202210064858.9A CN116506038A (en) | 2022-01-20 | 2022-01-20 | Measurement method, device, communication equipment and readable storage medium |
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| CN202210064858.9A CN116506038A (en) | 2022-01-20 | 2022-01-20 | Measurement method, device, communication equipment and readable storage medium |
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| CN202210064858.9A Pending CN116506038A (en) | 2022-01-20 | 2022-01-20 | Measurement method, device, communication equipment and readable storage medium |
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