CN113728704B

CN113728704B - Signal transmission method, device and system

Info

Publication number: CN113728704B
Application number: CN201980095776.7A
Authority: CN
Inventors: 沈嘉
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2019-08-30
Filing date: 2019-08-30
Publication date: 2024-05-31
Anticipated expiration: 2039-08-30
Also published as: CN113728704A; WO2021035719A1

Abstract

The application discloses a signal transmission method, a device and a system, which relate to the field of wireless communication, and the method comprises the following steps: at least two target signals are received or transmitted, the at least two target signals being signals transmitted using at least two target configurations for the same original information. By adopting at least two target configurations to transmit the same original information, the receiving device of the wireless signal can receive a plurality of target signals transmitted by adopting a plurality of target configurations under the current communication environment, and the plurality of target signals can be used for optimizing an ML model in the receiving device of the wireless signal, thereby being beneficial to improving the accuracy of training results output by the ML model.

Description

Signal transmission method, device and system

Technical Field

The present application relates to the field of wireless communications, and in particular, to a signal transmission method, apparatus, and system.

Background

With the development of technology, artificial intelligence technology has been widely used in information and communication technology. The machine learning technology in the artificial intelligence technology can be applied to the field of wireless communication and is used for training a dispatcher of a base station so as to enable the base station to realize reasonable wireless resource allocation.

In the related art, however, a signal training set employed by a machine learning model for training a scheduler is historical data or training results output by the machine learning model based on the historical data. The signal training set has poor flexibility, is difficult to adapt to the real-time communication environment of the base station and the terminal, and causes inaccurate training results.

Disclosure of Invention

The embodiment of the application provides a signal transmission method, a signal transmission device and a signal transmission system, which can be used for solving the problem that a training result obtained by training a base station scheduler in the related technology is inaccurate. The technical scheme is as follows:

in one aspect, a signal transmission method is provided, the method comprising:

At least two target signals are received or transmitted, the at least two target signals being signals transmitted using at least two target configurations for the same original information.

The target is configured as a set of scheduling parameters and a combination of target parameter values for the scheduling parameters.

In one implementation, the target configuration is determined according to at least one of:

the target configuration is predefined;

the target configuration is determined from a first higher layer signaling;

the target configuration is determined in accordance with second higher layer signaling in a predefined plurality of configurations;

the target configuration is determined in accordance with first downlink control information (Downlink Control Information, DCI) in a predefined plurality of configurations;

The target configuration is determined from a predefined plurality of configurations according to third higher layer signaling, and a candidate configuration is determined from the candidate configuration according to second DCI.

In an implementation, the target configuration includes at least two scheduling parameters, the target configuration is determined according to a first higher layer signaling, including:

the scheduling parameters in the target configuration are determined according to a first high-layer signaling;

or the target parameter values of all scheduling parameters in the target configuration are determined from the first higher layer signaling,

Or the target parameter values of the partial scheduling parameters in the target configuration are determined according to the first high-layer signaling, and the target parameter values of other partial scheduling parameters are predefined.

In an implementation, the scheduling parameters of the target configuration include at least one of:

Modulation coding scheme (Modulation and Coding Scheme, MCS), transport block size (Transport Block Size, TBS), transmission waveform, power parameters, antenna Port (Antenna Port), precoding (precoding), number of layers (number of layers), reference signal (REFERENCE SIGNAL, RS) parameters, bandwidth part (Band WIDTH PART, BWP), parameter set (numerology), subcarrier spacing (SubCarrier Spacing, SCS), and Cyclic Prefix (CP).

In one implementation, the target configuration includes an MCS and target parameter values for the MCS,

At least one target signal in the at least two target signals is a signal for transmitting the original information by adopting a target MCS;

and the target MCS is the MCS with the index number of the target parameter value in the MCS index table.

In one implementation, the target configuration includes an MCS, a TBS, and first target parameter values for the MCS and TBS,

At least one target signal in the at least two target signals is a signal for transmitting the original information by adopting a target MCS and a TBS;

the target MCS and TBS are MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table.

In one implementation, the target configuration includes first target parameter values for MCS, TBS, MCS and TBS, antenna ports, and second target parameter values for antenna ports,

At least one target signal in the at least two target signals is a signal which is sent by a target antenna port by adopting target MCS and TBS for the original information;

The target antenna port is an antenna port with the index number of the second target parameter value in an antenna port index table, and the target MCS and TBS are MCS and TBS with the index number of the first target parameter value in a MCS and TBS index table.

In one implementation, the target configuration includes MCS, TBS, MCS and first target parameter values for TBS, precoding, number of layers, and third target parameter values for precoding and number of layers,

At least one target signal in the at least two target signals is a signal which adopts target MCS and TBS, and target precoding and layer number to transmit the original information;

The target precoding and layer number is the precoding and layer number with the index number of the third target parameter value in the precoding and layer number index table, and the target MCS and TBS are the MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table.

In one implementation, the target configuration includes first target parameter values for MCS, TBS, MCS and TBS, a transmit waveform, and fourth target parameter values for the transmit waveform,

At least one target signal in the at least two target signals is a signal which adopts target MCS and TBS for the original information and transmits target transmission waveform;

The target MCS and TBS are MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table, and the fourth target parameter value of the transmission waveform corresponds to the target transmission waveform.

In one implementation, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, a transform precoder (Transform Precoder) configuration, and fifth target parameter values of the transform precoder configuration,

At least one target signal in the at least two target signals is a signal which is sent by adopting target MCS and TBS and target transformation precoder configuration to the original information;

the transformation precoder is configured to send the transmission waveform, the target transformation precoder is configured as a transformation precoder with a fifth target parameter value configured by the transformation precoder being enabled or disabled, and the target MCS and TBS are MCS and TBS with index numbers of the first target parameter value in an MCS and TBS index table.

In one implementation, the target configuration includes first target parameter values for MCS, TBS, MCS and TBS, sixth target parameter values for numerology and numerology,

At least one of the at least two target signals is a signal transmitted by the target numerology using the target MCS and TBS for the original information,

The target MCS and TBS are MCS and TBS having an index number of the first target parameter value in an MCS and TBS index table, and the target numerology is numerology having an index number of the sixth target parameter value in a numerology index table.

In one implementation, the scheduling parameters of the target configuration include MCS, TBS, MCS and the first target parameter value of TBS, the sixth target parameter value of numerology, numerology, BWP and the seventh target parameter value of BWP,

At least one target signal of the at least two target signals is a signal for transmitting the original information by adopting a target MCS and TBS, a target numerology and a target BWP;

The target MCS and TBS are MCS and TBS having an index number of the first target parameter value in an MCS and TBS index table, the target numerology is numerology having an index number of the sixth target parameter value in a numerology index table, and the seventh target parameter value of the BWP corresponds to the target BWP.

In one implementation, the scheduling parameters of the target configuration include first target parameter values for MCS, TBS, MCS and TBS and power parameters,

At least one target signal in the at least two target signals is a signal which transmits the original information by adopting a target MCS, a TBS and a target power parameter;

In one implementation, the original information includes a known set of bits.

In one implementation, the set of bits is a randomly generated set of bits.

In an implementation, each of the target signals is transmitted in at least two frequency domain units, respectively.

In an implementation, the at least two target signals are transmitted in at least two time domain units, respectively.

In an implementation manner, the at least two target signals are signals sent by adopting at least two target configurations on the same original information, and the method includes:

The at least two target signals are signals generated by adopting at least two target configurations for the bits with the specified length in the same original information;

Wherein the specified length is predefined, or the specified length is configured according to a higher layer signaling, or the specified length is determined according to a specified method calculation.

In one implementation, the raw information and the target information form a set of training samples of a machine learning model. When the original information includes a known set of bits, the target information includes a set of target bits, where the target bits are a set of bits generated by processing a received target signal by a signal receiving end using a target configuration.

In another aspect, there is provided a transmission apparatus of a wireless signal, the apparatus including:

a transmitting module for transmitting at least two target signals,

The at least two target signals are signals transmitted using at least two target configurations for the same original information.

In an implementation, the apparatus further includes a processing module to determine the at least two target configurations.

In an implementation manner, the device includes a receiving module, where the receiving module is configured to receive a first higher layer signaling, and the processing module determines a target configuration according to the first higher layer signaling;

Or the receiving module is used for receiving a second high-level signaling, and the processing module determines a target configuration in a plurality of predefined configurations according to the second high-level signaling;

Or the receiving module is used for receiving first DCI, and the processing module determines target configuration in a plurality of predefined configurations according to the first DCI;

Or the receiving module is configured to receive a third high-layer signaling and a second DCI, the processing module determines a candidate configuration from a plurality of predefined configurations according to the third high-layer signaling, and the processing module determines a target configuration from the candidate configuration according to the second DCI.

In one implementation, the processing module determines all scheduling parameters in the target configuration from the first higher layer signaling,

Or the processing module determines target parameter values of part of the scheduling parameters in the target configuration according to the first high-layer signaling, and target parameter values of other part of the scheduling parameters are predefined.

In another aspect, there is provided a receiving apparatus of a wireless signal, the apparatus including:

and the receiving module is used for receiving at least two target signals, wherein the at least two target signals are signals sent by adopting at least two target configurations to the same original information.

In one implementation, the apparatus includes a processing module to generate a first higher layer signaling;

or the processing module is used for generating a second high-layer signaling;

or the processing module is used for generating first DCI;

Or the processing module is configured to generate third high layer signaling and second DCI.

In an implementation manner, the apparatus further includes a sending module, where the sending module is configured to send a first higher layer signaling;

Or the sending module is used for sending the second high-layer signaling;

Or the sending module is used for sending the first DCI;

Or the sending module is used for sending the third high-layer signaling and the second DCI.

In another aspect, a signal transmission system is provided, where the system includes a wireless signal transmitting device and a wireless signal receiving device, where the transmitting device is the wireless signal transmitting device, and the receiving device is the wireless signal receiving device.

In another aspect, there is provided a transmitting apparatus of a wireless signal, the apparatus including a transmitter,

The transmitter is for transmitting at least two target signals,

In an implementation, the apparatus further comprises a processor for determining the at least two target configurations.

In an implementation, the apparatus includes a receiver configured to receive a first higher layer signaling, and the processor determines a target configuration according to the first higher layer signaling;

Or the receiver is configured to receive second higher layer signaling, and the processor determines a target configuration from a predefined plurality of configurations according to the second higher layer signaling;

or the receiver is configured to receive a first DCI, and the processor determines a target configuration from a predefined plurality of configurations according to the first DCI;

Or the receiver is configured to receive a third higher layer signaling and a second DCI, the processor determines a candidate configuration from a predefined plurality of configurations according to the third higher layer signaling, and the processor determines a target configuration from the candidate configuration according to the second DCI.

In another aspect, there is provided a receiving device for wireless signals, the device comprising a receiver,

The receiver is configured to receive at least two target signals, where the at least two target signals are signals transmitted using at least two target configurations for the same original information.

In an implementation, the apparatus includes a processor to generate a first higher layer signaling;

Or the processor is configured to generate a second higher layer signaling;

Or the processor is configured to generate a first DC;

or the processor is configured to generate third higher layer signaling and second DCI.

In an implementation, the apparatus further comprises a transmitter for transmitting a first higher layer signaling;

Or the transmitter is configured to send second higher layer signaling;

or the transmitter is configured to transmit a first DCI;

or the transmitter is configured to transmit third higher layer signaling and second DCI.

In another aspect, a computer readable storage medium is provided, the computer readable storage medium storing at least one instruction for execution by a processor to implement the signal transmission method described above in connection with receiving or transmitting at least two target signals.

In another aspect, a chip is provided, the chip comprising programmable logic circuitry and/or program instructions for implementing the above-described signal transmission method in connection with receiving or transmitting at least two target signals when the chip is run.

In another aspect, a computer program product is provided, comprising one or more computer programs, which when executed by a processor, are adapted to carry out the above-described signal transmission method in connection with receiving or transmitting at least two target signals.

The technical scheme provided by the embodiment of the application has the beneficial effects that at least:

The wireless signal transmitting device transmits at least two target configurations to the same original information, so that the wireless signal receiving device can receive a plurality of target signals transmitted by adopting a plurality of target configurations in the current communication environment, and the plurality of target signals can be used for optimizing a machine learning (MACHINE LEARNING, ML) model in the wireless signal receiving device, thereby being beneficial to improving the accuracy of training results output by the ML model.

Because the original information and the target configuration are known to the receiving device of the wireless signal, the receiving device of the wireless signal can judge the accuracy of the training result output by the ML model based on the original information, the target configuration and the received target signal, thereby being beneficial to optimizing the ML model.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic illustration of an implementation environment provided by an exemplary embodiment of the present application;

FIG. 2 is a schematic illustration of an implementation environment provided by another exemplary embodiment of the present application;

FIG. 3 is a schematic illustration of an implementation environment provided by yet another exemplary embodiment of the present application;

Fig. 4 shows a flowchart of a signal transmission method according to an embodiment of the present application;

fig. 5 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

fig. 6 shows a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

fig. 7 is a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

fig. 8 is a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

Fig. 9 is a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

fig. 10 is a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

Fig. 11 is a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

Fig. 12 is a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

Fig. 13 is a schematic diagram of transmitting at least two target signals in a time domain unit and a frequency domain unit according to an embodiment of the present application;

Fig. 14 is a flowchart of another signal transmission method according to an embodiment of the present application;

fig. 15 is a flowchart of still another signal transmission method according to an embodiment of the present application;

Fig. 16 shows a block diagram of a wireless signal transmitting apparatus according to an embodiment of the present application;

fig. 17 is a block diagram of a transmitting apparatus of yet another wireless signal provided by an embodiment of the present application;

fig. 18 is a block diagram showing a transmitting apparatus of yet another wireless signal provided by an embodiment of the present application;

fig. 19 is a block diagram of a receiving device for wireless signals according to an embodiment of the present application;

fig. 20 is a block diagram of a receiving device for a wireless signal according to another embodiment of the present application;

fig. 21 is a block diagram of a receiving device for still another wireless signal according to an embodiment of the present application;

fig. 22 is a block diagram of a receiving device for still another wireless signal according to an embodiment of the present application;

fig. 23 shows a block diagram of a wireless signal transmitting apparatus according to an embodiment of the present application;

Fig. 24 shows a block diagram of a receiving device for wireless signals according to an embodiment of the present application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.

Artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) has been widely used in the information communication technology (Information And Communication Technology, ICT) industry. In particular to a machine learning (MACHINE LEARNING, ML) technology, which solves a plurality of problems which cannot be solved originally in the fields of image recognition, voice recognition and the like. The use of "data driven" based ML algorithms in communication systems has been relatively conservative, as mobile communication technologies are generally based on theoretical models that have been relatively sophisticated.

However, with the rapid improvement of the flexibility and complexity of the fourth Generation mobile communication technology (4 th-Generation, 4G) and the fifth Generation mobile communication technology (5 th-Generation, 5G) system, the "imperfection" of certain steps in the conventional mobile communication process gradually stands out, and the performance of these steps is optimized and complemented by the conventional wireless communication theory and scheme by the ML method based on "data driving", so that the method has become a very attractive development direction in the development of wireless communication at present.

When ML techniques are applied in future wireless communication systems, the basic ML model needs to be used in the communication process after being trained "off-line" due to the great complexity of ML training. However, since the channel environment, deployment environment and service requirements of the wireless terminal are all variable, it is difficult to form a "universal" basic ML model suitable for variable communication environments. The basic ML model also needs to be optimized by "online" training for the current communication environment of each terminal, where "online" ML training refers to training an ML model conforming to the communication environment based on the current communication environment of each terminal. There is no clear solution for the specific approach to "on-line" ML training of wireless communication systems. There is no corresponding solution to the problem of how to set up training sets that can be used for "online" ML training.

Fig. 1 is a schematic diagram of an implementation environment provided by an exemplary embodiment of the present application, where uplink transmission is described. The implementation environment includes a base station 110 and a terminal 120, with wireless communication between the base station 110 and the terminal 120 being enabled. The base station 110 is provided with an uplink scheduler and an ML model that can be used to train the uplink scheduler. The base station 110 is a radio signal receiving apparatus, and the terminal 120 is a radio signal transmitting apparatus.

The terminal 120 acquires the original information, and the terminal 120 transmits the original information to the base station 110 in at least two target configurations, that is, the terminal 120 transmits at least two target signals to the base station 110. The at least two target signals are signals sent by adopting at least two target configurations to the original information, and the target signals are uplink wireless signals. The content of this original information, which may be a set of preset bits, is known to both the base station 110 and the terminal 120, as is the content of at least two target configurations employed. The at least two target signals are used to train the ML model in the base station 110. Wherein, when the original information is a set of preset bits, the set of preset bits may include at least one bit. The target configuration may be a configuration (configuration) for allocating resources carrying radio signals.

Fig. 2 is a schematic diagram of an implementation environment provided by another exemplary embodiment of the present application, where downstream transmission is described. The implementation environment includes a base station 110 and a terminal 120, and wireless communication between the base station 110 and the terminal 120 is enabled. The terminal 120 is provided with an ML model, and the training result output by the ML model is used to optimize a downlink scheduler in the base station 110, where the terminal 120 is a receiving device of a wireless signal, and the base station 110 is a transmitting device of the wireless signal.

In some embodiments of the present application, the base station 110 obtains the original information, and the base station transmits the original information to the terminal 120 in at least two target configurations, that is, the base station 110 transmits at least two target signals to the terminal 120. The at least two target signals are signals sent by adopting at least two target configurations to the original information, and the target signals are downlink wireless signals. The at least two target signals are used to train an ML model in the terminal 120. The description about the original information and the target configuration may refer to the description about fig. 1, and the embodiments of the present application are not repeated here.

The terminal 120 may transmit the training result to the base station 110 after training the ML model in the terminal 120 based on the received at least two target signals and obtaining the training result. The base station 110 receives the training result sent by the terminal 120, and optimizes the downlink scheduler in the base station 110 based on the training result.

Fig. 3 is a schematic diagram of an implementation environment provided by yet another exemplary embodiment of the present application. The implementation environment includes 2 adjacent terminals, namely, a first terminal 121 and a second terminal 122, and describes a Device-to-Device (D2D) communication technology. In the D2D communication technology, each of the 2 terminals adjacent to each other may be a wireless signal transmitting apparatus or a wireless signal receiving apparatus.

In one transmission link, the first terminal 121 is a transmitting device of a wireless signal, the second terminal 122 is a receiving device of a wireless signal, the ML model is set in the second terminal 122, which is a receiving device of a wireless signal, for training a scheduler of the second terminal 122, and the related process may refer to the related description of the embodiment shown in fig. 1. In other implementations, the first terminal 121, which is the transmitting device of the wireless signal, is provided with a scheduler, and the ML model is disposed in the receiving device of the wireless signal, and the receiving device of the wireless signal trains the ML model based on the received wireless signal and transmits the training result to the transmitting device of the wireless signal so that the transmitting device of the wireless signal can optimize the scheduler of the transmitting device of the wireless signal based on the training result, and the related process may refer to the related description of the embodiment shown in fig. 2.

In the implementation manner of this implementation environment, no matter the terminal is a wireless signal transmitting device or a wireless signal receiving device, the schedulers in the at least two target signals used for training the wireless signal transmitting device may be preset, or the schedulers in the at least two target signals used for training the wireless signal receiving device may be preset, which is not limited in this embodiment of the present application. In other implementations, such as centralized D2D communication, the ML model is provided in a base station (not shown in fig. 3) that may receive wireless signals or training results sent by the terminal to train the ML model of the base station's uplink scheduler or to optimize the downlink scheduler (the implementation environment described with reference to fig. 1 and 2).

Fig. 1 to 3 are only examples of the implementation environments according to the embodiments of the present application, and are not intended to limit the implementation environments of the present application. For example, in the scenario of interaction between a base station and a terminal, if the terminal has a certain signal scheduling processing function, the present application may also be used for training an uplink scheduler or a downlink scheduler of the terminal. The application may also be used in other implementation environments.

In an embodiment of the present application, a receiving device (e.g., the base station 110 in fig. 1, the terminal 120 in fig. 2, the second terminal 122 or the first terminal 121 in fig. 3) for a wireless signal receives the wireless signal, and trains an ML model provided in the receiving device for the wireless signal based on the wireless signal. The terminal may be a User Equipment (UE).

Fig. 4 is a flowchart of a signal transmission method according to an embodiment of the present application, where the method may be applied to a wireless signal transmitting apparatus and a wireless signal receiving apparatus in the foregoing or other implementation environments, and the wireless signal receiving apparatus may be a base station, a terminal, or other devices, which is not limited in this embodiment. As shown in fig. 4, the method may include:

Step 401, a wireless signal transmitting device transmits at least two target signals.

The at least two target signals are signals transmitted using at least two target configurations for the same original information. Wherein one target configuration is a combination of a set of scheduling parameters (parameters) and target Parameter values of the scheduling parameters, i.e. one target configuration comprises one or more scheduling parameters and target Parameter values of the one or more scheduling parameters. The scheduler (uplink scheduler or downlink scheduler) of the base station allocates and schedules radio resources based on the scheduling parameters and the target parameter values of the scheduling parameters.

Wherein the content of the original information is known to both the transmitting means and the receiving means of the wireless signal, e.g. a known set of bits. The contents of the at least two target configurations are also known to both the transmitting device and the receiving device of the wireless signal, the contents of the target configurations comprising the scheduling parameters and target parameter values of the scheduling parameters. In addition, when the target configuration includes a plurality of scheduling parameters, the content of the target configuration also includes an order of traversing the plurality of scheduling parameters, and in this case, of course, since the target configuration includes a plurality of scheduling parameters, the target parameter values of the scheduling parameters included in the target configuration are also a plurality of and correspond to the scheduling parameters.

The at least two target signals are transmitted in at least two time domain units, where a time domain unit may refer to a slot (slot), a group of slots, a symbol (symbol), a group of symbols, a frame (frame), a group of frames, a subframe (subframe), or a group of subframes, or may be other time domain units.

Step 402, the receiving device of the wireless signal receives the at least two target signals.

The ML model may be provided in the receiving device of the wireless signal, and the at least two target signals may be used to optimize the ML model.

In summary, according to the signal transmission method provided by the embodiment of the present application, the transmitting device of the wireless signal transmits at least two target configurations for the same original information, so that the receiving device of the wireless signal may receive multiple target signals transmitted by multiple target configurations in the current communication environment, and the multiple target signals may be used to optimize the ML model in the receiving device of the wireless signal, which is helpful to improve the accuracy of the training result output by the ML model.

For the implementation environment described in fig. 1, after receiving the target signals sent by adopting multiple target configurations, the base station can directly optimize the ML model of the uplink scheduler, so as to achieve the effect of optimizing the uplink scheduler. For the implementation environment described in fig. 2, after receiving the target signals sent by using multiple target configurations, the terminal may optimize the ML model in the terminal, and send the training result to the base station to optimize the downlink scheduler of the base station, where the base station may optimize the downlink scheduler with reference to the training result sent by the terminal.

And whether the at least two target signals are transmitted between the base station and the terminal or between the terminal and the terminal, the at least two target signals are subjected to the current communication environment of the terminal, so that the training result of ML model training by adopting the at least two target signals by the ML model can meet the current real-time communication environment of the terminal, and the accuracy of the training result is further improved.

In the following embodiments of the present application, a set of bits for which the original information is known are taken as an example for illustration. The known set of bits may be a randomly generated set of bits, for example, the known set of bits is a randomly generated 1000 bits (bits).

In practical implementation, the size of each time domain unit and each frequency domain unit may be fixed, for example, the size of each time domain unit is 5 slots, and the size of each frequency domain unit is 20 resource blocks (Physical Resource Block, PRBs). However, the number of bits that each time domain unit and each frequency domain unit can actually carry is different depending on the scheduling parameters that the target configuration includes. Thus, for different target configurations, one target signal may be generated with one target configuration for only a portion of the known set of bits. That is, in the step 401, the signal that at least two target signals are transmitted using at least two target configurations for the same known bit group may include: the at least two target signals are signals transmitted in at least two target configurations for a plurality of bits of a specified length in the same set of known bits. That is, each of the at least two target signals is a signal transmitted in one target configuration for a plurality of bits of a specified length in the same set of known bits.

The specified length is predefined, or is determined according to a higher layer signaling configuration, or is calculated according to a specified method, which is not limited in this embodiment. The higher layer signaling is configuration information received by the terminal from a higher layer (HIGHER LAYERS), the configuration information can realize signaling for operating and managing the terminal, and the higher layer is a layer above a physical layer.

In step 401 described above, each of the at least two target configurations employed for the same set of known bits includes one or more scheduling parameters and target parameter values for the one or more scheduling parameters.

The at least two target configurations may be at least two target configurations in the same target configuration, or may be at least two target configurations in different target configurations. In determining whether two target configurations are identical, a determination needs to be made in two ways: when at least one of the scheduling parameters and the target parameter values of the scheduling parameters in the two target configurations are different, determining that the two target configurations are different target configurations, namely the two target configurations are respectively two target configurations; and when the scheduling parameters in the two target configurations and the target parameter values of the scheduling parameters are the same, determining that the two target configurations are the same target configuration. For example, one target configuration c1 is MCS, and the target parameter value of the MCS is 9; one target configuration c2 is MCS, and the target parameter of the MCS is 10; one target configuration c3 is an antenna port, and the target parameter value of the antenna port is 10; one target configuration c4 is MCS and the target parameter value of the MCS is 9. The 4 configuration parameters include 3 target configurations, wherein the target configuration c1 and the target configuration c4 are the same target configuration.

The following describes the scheduling parameters included in the target configuration and the target parameter values of the scheduling parameters, respectively:

1. The scheduling parameters may include at least one of the following types of parameters: modulation coding parameters, spatial domain scheduling parameters, frequency domain scheduling parameters, RS parameters, power parameters, transmission waveforms, and basic parameter sets.

The spatial domain scheduling parameters may include at least one of antenna ports, precoding, and layer numbers, and may also include other parameters; the frequency domain scheduling parameters may include BWP, and may also include other parameters; the modulation coding parameters may include at least one of MCS and TBS, and may also include other parameters; the basic parameter set may include at least one of a parameter set, SCS, and CP, and may also include other parameters.

The above-mentioned types of the scheduling parameters, such as modulation and coding parameters, spatial domain scheduling parameters, frequency domain scheduling parameters, RS parameters, power parameters, transmission waveforms, and basic parameter sets, are merely examples of one classification of the scheduling parameters, and are not used for limiting the parameter types of the scheduling parameters. Other classification manners or no classification may be adopted for the scheduling parameters, and the scheduling parameters may also include other types of parameters or other parameters, which are not limited by the present application.

Wherein numerology may include SCS and CP. In an implementation, numerology, SCS and CP may share an index table, for example, as shown in table 1, when at least two of numerology, SCS and CP share an index number, one scheduling parameter may be used to refer to other scheduling parameters sharing index numbers with them. Table 1 shows a numerology index table provided by an embodiment of the present application, where the first column is used to identify numerology, the second column is used to identify SCS, and the third column is used to identify CP. As can be seen from table 1, the index number (i.e., μ) of each numerology in the first column of the numerology index table has a one-to-one correspondence with the SCS of the second column, i.e., numerology shares an index number with the SCS, and the index number of each numerology may represent a different SCS. Thus, in the embodiment of the present application, the example is described in which numerology may refer to SCS and the target parameter value of numerology may represent the target parameter value of SCS. Of course, in other possible embodiments, numerology, SCS and CP correspond to different target parameter values, respectively, and embodiments of the present application are not limited herein.

TABLE 1

μ	Δf＝2^μ·15[kHz]	Cyclic prefix
			0	15	Normal state
1	30	Normal state
			2	60	Normal, extended
3	120	Normal state
			4	240	Normal state

2. The target parameter value of the scheduling parameter refers to a certain parameter value of the at least one parameter value comprised by the scheduling parameter.

Each scheduling parameter comprises at least one parameter value for indicating a different set of scheduling values for the same scheduling parameter, which may of course be referred to as the scheduling parameter. For example, the scheduling parameter is the MCS in the modulation coding parameter. For the MCS, the MCS includes a plurality of index values, each of which may indicate a set of scheduling values, as shown in table 2, each set of scheduling values includes a modulation order, a target code rate, and a spectrum efficiency, and among the scheduling values indicated by index value 7, the modulation order is 2, the target code rate is 526, and the spectrum efficiency is 1.0273, that is, the set of scheduling values may also be referred to as MCS having index value 7. The target parameter value of the scheduling parameter is a scheduling parameter indicated by a target parameter value included for determining the target configuration.

TABLE 2

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The scheduling parameters in the target configuration in the embodiment of the present application may include modulation coding parameters, spatial domain scheduling parameters, frequency domain scheduling parameters, RS parameters, power parameters, transmission waveforms, and scheduling parameters in at least one parameter type in the basic parameter set. A received target signal is a signal that is transmitted using a known set of bits with a scheduling parameter included in a target configuration and a target parameter value for the scheduling parameter. When the target configuration includes at least two scheduling parameters (the at least two scheduling parameters may belong to one parameter type or respectively belong to at least two parameter types), each of the at least two scheduling parameters and the target parameter value thereof may be sequentially adopted to transmit the known set of bits according to a predetermined sequence, where the predetermined sequence is a predetermined sequence of the transmitting device of the wireless signal and the receiving device of the wireless signal.

In the embodiment of the present application, since the scheduling parameters may be classified into at least one parameter type, and each parameter type includes at least one scheduling parameter, the predetermined sequence may be classified into the following three cases: the order of traversing only the parameter types, or the order of traversing only the scheduling parameters, or both the order of traversing the parameter types and the order of traversing the scheduling parameters corresponding to each parameter type may be included. These three cases are each described below.

In the first case, the predetermined order may be to traverse in units of parameter types, and when at least two scheduling parameters included in the target configuration respectively belong to at least two parameter types, each of the at least two parameter types is sequentially traversed in the predetermined order.

Wherein, the step of traversing by adopting each parameter type refers to the step of traversing by adopting the scheduling parameter belonging to the parameter type and the target parameter value thereof in the at least two scheduling parameters. In this case, when there are a plurality of scheduling parameters belonging to the parameter type, the order in which the plurality of scheduling parameters and the target parameter values thereof are traversed is not limited.

For example, the target configuration includes three scheduling parameters, which are one scheduling parameter of the spatial domain scheduling parameters and two scheduling parameters of the transmission waveform, respectively, and then the target parameter value of the scheduling parameter includes one target parameter value of the spatial domain scheduling parameters and two target parameter values of the transmission waveform. The pre-agreed sequence of the wireless signal sending device and the wireless signal receiving device is that the airspace scheduling parameter and the target parameter value thereof are traversed firstly, and then the transmission waveform and the target parameter value thereof are traversed. The received target signals are signals which are transmitted by adopting the airspace scheduling parameters and the target parameter values thereof respectively and then transmitted by adopting the transmission waveforms and the two target parameter values thereof. Of course, if the predetermined sequence of the wireless signal transmitting apparatus and the wireless signal receiving apparatus is to traverse the transmission waveform and the two target parameter values thereof, and then traverse the spatial scheduling parameter and the target parameter value thereof, the received target signal is a signal which is processed by adopting the transmission waveform and the target parameter value thereof, and then transmitted by adopting the spatial scheduling parameter and the target parameter value thereof. The embodiment of the present application is not limited thereto. When a transmission waveform and two target parameter values thereof are used for transmission, the order of traversing the two scheduling parameters and the two target parameter values thereof in the transmission waveform is not limited.

In the second case, the predetermined order may be traversal in units of scheduling parameters. The at least two scheduling parameters included in the target configuration may respectively belong to at least two parameter types, and may also belong to one parameter type.

For example, the target configuration includes two scheduling parameters, i.e., MCS and TBS, which are all of the type of modulation coding parameters. The predetermined order may be to sequentially transmit the known set of bits using MCS and TBS, which is not limited by the embodiments of the present application. For another example, the target configuration includes two scheduling parameters, namely, MCS and antenna port, which respectively belong to two types of parameters, namely, modulation coding parameter and space domain scheduling parameter. The predetermined order may be to sequentially transmit the known set of bits using the MCS and the antenna port, which is not limited by the embodiments of the present application.

In a third case, the predetermined order may be traversal in units of parameter types and scheduling parameters. The predetermined order may include a first order of traversing at least two parameter types and a second order of traversing at least two scheduling parameters included by each parameter type. The first order and the second order are predetermined orders by the wireless signal transmitting device and the wireless signal receiving device.

For example, the target configuration includes three scheduling parameters, namely, an antenna port in the spatial domain scheduling parameter and an MCS and a TBS in the modulation coding parameter, and then the target parameter value of the spatial domain scheduling parameter includes the target parameter value of the antenna port, and the target parameter value of the modulation coding parameter includes the target parameter value of the MCS and the target parameter value of the TBS. The first predetermined sequence of the wireless signal transmitting device and the wireless signal receiving device is to traverse the airspace scheduling parameter and the target parameter value thereof, and then traverse the modulation coding parameter and the target parameter value thereof. The second order, which is agreed in advance, is to traverse the MCS and its target parameter values and then the TBS and its target parameter values. The received target signals are signals which are transmitted by adopting the spatial domain scheduling parameters and the target parameter values thereof, and then sequentially adopting the MCS, the target parameter values thereof, the TBS and the target parameter values thereof. Of course, the first order and the second order that are pre-agreed by the wireless signal sending device and the wireless signal receiving device may be other orders, which are not limited in the embodiment of the present application.

As already described above, the scheduling parameters such as the spatial domain scheduling parameter and the modulation coding parameter may further include various scheduling parameters. The following eight target configurations are taken as examples for the above-described various scheduling parameters.

In a first target configuration, the scheduling parameters of the target configuration include the MCS and target parameter values of the MCS.

At least one of the at least two target signals is a signal transmitted after modulating and encoding a known set of bits with a target MCS. The target MCS is the MCS with the index number of the target parameter value in the MCS index table. The MCS index table may refer to the MCS index table shown in table 2.

The at least two target signals are transmitted in at least two time domain units, respectively, and the at least two target signals may be transmitted in the same frequency domain unit, or in at least two frequency domain units, respectively. Each frequency domain unit may include at least one Resource Block (RB), and a plurality of RBs may constitute one subband (subband). Each RB includes PRBs and virtual resource blocks (Virtual Resource Block, VRBs).

Wherein the target parameter value is one index value of index numbers 0 to a in the MCS index table, a is an integer greater than or equal to 1, for example, a is 31 in the MCS index table described in table 2. In the MCS index table, the MCS having the index number of the target parameter value is the target MCS. For example, if the target parameter value is 18, the MCS with index number 18 is the target MCS, in which the modulation order is 6, the target code rate is 466, and the spectrum efficiency is 2.7305.

In the first target configuration, the target configuration includes only one scheduling parameter, i.e., MCS, and the type of target configuration that can be determined based on the scheduling parameter depends on the number of values that can be obtained by the target parameter value of the MCS. For example, if the number of the target parameter values of the MCS is 32, 32 target configurations can be determined based on the scheduling parameter, and accordingly, 32 wireless signals can be transmitted using the 32 target configurations for a known set of bits.

Fig. 5 shows a schematic diagram of a known set of bits, after being modulated and encoded with MCSs with target parameter values of 0 to 31, respectively, being transmitted in 32 time domain units and in the same frequency domain unit. In this figure, modulation and coding are performed using MCS, and since the target parameter values are 0 to 31, 32 target configurations and 32 target signals (i.e., 32 different target signals) are corresponding.

When the receiving device of the wireless signal is a base station, the target signal sent by the first target configuration is an uplink wireless signal, the uplink wireless signal can provide wireless signals traversing various MCSs for the base station, an ML model for uplink adaptive modulation coding (Adaptive Modulation and Coding, AMC) can be trained, and an uplink scheduler of the base station is optimized; when the receiving device of the wireless signal is a terminal, the target signal sent by the first target configuration is a downlink wireless signal, the downlink wireless signal can provide wireless signals traversing various MCSs for the terminal, an ML model for downlink Adaptive Modulation and Coding (AMC) can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

In the second target configuration, the scheduling parameters of the target configuration include MCS, TBS, and first target parameter values of MCS and TBS. Both MCS and TBS belong to the same type of parameter, i.e. modulation coding parameter.

At least one of the at least two target signals is a signal transmitted using a target MCS and TBS (mcsAndTBS) for a known set of bits. The transmitting process may include: a known set of bits is modulated and encoded with the target mcsAndTBS and transmitted. The at least two target signals are transmitted in at least two time domain units, respectively, and the at least two target signals may be transmitted in the same frequency domain unit, or in at least two frequency domain units, respectively. The description of the frequency domain unit may refer to the first target configuration, and the embodiments of the present application are not described herein.

Wherein, the target mcsAndTBS is mcsAndTBS with the index number of the mcsAndTBS index table as the target parameter value. Wherein the first target parameter value is one index value from index number 0 to index number B in mcsAndTBS index table, and B is an integer greater than or equal to 1. Illustratively, B is 31.

It should be noted that, in the embodiment of the present application, the case where the MCS and TBS share the index table and the index number is described, in other possible implementations, the MCS and TBS may respectively use the MCS index table and the TBS index table, in which case, the target MCS and the target TBS need to be determined respectively, that is, the target configuration needs to include the target parameter value corresponding to the target MCS and the target parameter value corresponding to the target TBS, which is not limited in the embodiment of the present application.

In the second target configuration, the target configuration includes two kinds of scheduling parameters, namely MCS and TBS, and the type of target configuration that can be determined based on the scheduling parameters depends on the two kinds of scheduling parameters and the number of values that can be obtained by the target parameter values of the two kinds of scheduling parameters. For example, the number of the target parameter values of MCS and TBS is 32, and based on the 32×32, i.e. 1024 target configurations that can be determined by the scheduling parameter, 1024 target signals can be sent by using the 1024 target configurations for a known group of bits. In this case, the known set of bits may be transmitted using the target MCS and the target TBS in a predetermined order, where the target MCS and then the target TBS are used, or the target TBS and then the target MCS are used, which is not limited in the embodiment of the present application.

When the MCS and TBS both correspond to a set of target parameter values, i.e., the MCS and TBS share an index table, then 32 target configurations can be determined based on the scheduling parameter, and accordingly, 32 target signals can be transmitted using the 32 target configurations for a known set of bits.

For example, fig. 6 shows a schematic diagram of a known set of bits modulated and encoded with MCS and TBS (i.e. mcsAndTBS) having first target parameter values of 0 to 31, respectively, and then transmitted in 32 time domain units, respectively, and transmitted in the same frequency domain unit. In this figure, modulation and coding are performed using MCS and TBS, and since the first target parameter value is 0 to 31, 32 target configurations and 32 target signals (i.e., 32 different target signals) are corresponding.

When the receiving device of the wireless signal is a base station, the target signal sent by the second target configuration is an uplink wireless signal, the uplink wireless signal can provide wireless signals traversing various MCS and TBS for the base station, an ML model for uplink AMC can be trained, and an uplink scheduler of the base station is optimized; when the receiving device of the wireless signal is a terminal, the target signal sent by the second target configuration is a downlink wireless signal, the downlink wireless signal can provide wireless signals traversing various MCSs and TBSs for the terminal, an ML model for downlink AMC can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

In the following several target configurations, a case where MCS and TBS share one index table will be described as an example.

In a third target configuration, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, antenna ports, and second target parameter values of antenna ports. Wherein, the MCS and TBS both belong to the same type of parameter, namely modulation coding parameter. The antenna ports belong to the airspace scheduling parameters.

At least one of the at least two target signals is a signal transmitted using the target mcsAndTBS and the target antenna port for a known set of bits. The at least one target signal may be transmitted using the target mcsAndTBS and the target antenna port in a predetermined order for a known set of bits. The predetermined sequence may be: the target mcsAndTBS is traversed first and then the target antenna ports are traversed. That is, a known set of bits is first modulated and encoded by at least one target mcsAndTBS, then sequentially transmitted in different time-domain units, and then mapped to at least one target antenna port for transmission. Of course, in other embodiments of the present application, the predetermined sequence may be to traverse the target antenna port first and then traverse the target mcsAndTBS, which embodiments of the present application are not limited to.

The at least two target signals may be transmitted in at least two time domain units, respectively, and the at least two target signals may be transmitted in the same frequency domain unit, or in at least two frequency domain units, respectively. The description of the frequency domain unit may refer to the first target configuration, and the embodiments of the present application are not described herein.

The target antenna port is an antenna port with an index number of a second target parameter value in the antenna port index table, the second target parameter value is one index value from 0to C in the antenna port index table, and C is an integer greater than or equal to 1. Illustratively, C is 31. The target MCS and TBS are MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table.

In a third target configuration, three scheduling parameters, namely MCS, TBS and antenna port, are included in the target configuration. Since the MCS and the TBS share one index table, the kind of target configuration that can be determined based on the scheduling parameter depends on the number of values that can be taken by the first target parameter value and the second target parameter value. When the first target parameter value of mcsAndTBS is M, M is an integer greater than 1, and when the second target parameter value of the antenna port is N, N is an integer greater than 1, n×m target configurations can be determined based on the scheduling parameter, and accordingly, n×m target signals can be transmitted using the n×m target configurations for a known set of bits.

For example, fig. 7 shows a schematic diagram of modulating and encoding a known set of bits with MCS and TBS (i.e. mcsAndTBS) having first target parameter values of 0 to 31 respectively, then transmitting the modulated bits in 32 time domain units respectively, mapping the modulated bits to antenna ports having second target parameter values of 0 to 31 respectively on the basis of the modulated bits, and transmitting the modulated bits in the same frequency domain unit, that is, in the embodiment shown in fig. 7, the predetermined sequence is to traverse the target mcsAndTBS first and then traverse the target antenna ports. In fig. 7, 32 x 32 (i.e., 1024) target signals are transmitted for a known set of bits using the third target configuration.

In fig. 7, the correspondence between 32 antenna ports and the time domain unit is only schematically illustrated, and in the embodiment of the present application, the 32 antenna ports may correspond to the same time domain unit in actual implementation, so that time domain resources may be saved. However, to avoid increasing the complexity of the wireless signal in the time dimension, the 1024 target signals may be sequentially transmitted in the 1024 time-domain units in the order of time, which is the case shown in fig. 7.

When the receiving device of the wireless signal is a base station, the target signal sent by the third target configuration is an uplink wireless signal, and the uplink wireless signal can provide wireless signals traversing various MCS and TBS and various antenna ports for the base station, and can train an ML model for uplink AMC and antenna/beam selection so as to optimize an uplink scheduler of the base station; when the receiving device of the wireless signal is a terminal, the target signal sent by the third target configuration is a downlink wireless signal, the downlink wireless signal can provide wireless signals traversing various MCSs and TBSs and each antenna port for the terminal, an ML model for downlink AMC and antenna/beam selection can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

In a fourth target configuration, the scheduling parameters of the target configuration include MCS, TBS, MCS and the first target parameter value, the precoding, the layer number, the precoding and the third target parameter value of the layer number of the TBS. Wherein, the MCS and TBS both belong to the same type of parameter, namely modulation coding parameter. The precoding and the layer number belong to the same type of parameter, namely the airspace scheduling parameter.

At least one of the at least two target signals is a signal transmitted using target mcsAndTBS and target precoding and layer number (precodingAndNumberOfLayers) for a known set of bits. The at least one target signal may be transmitted with a known set of bits in a predetermined order, using target mcsAndTBS and target precoding and layer numbers. The predetermined sequence may be: the target mcsAndTBS is traversed first, then the target precodingAndNumberOfLayers is traversed, that is, a known group of bits are modulated and encoded by at least one target mcsAndTBS, then sequentially transmitted in different time domain units, then mapped to the number of layers in the target precodingAndNumberOfLayers, and encoded by a precoding matrix corresponding to the precoding in the target precodingAndNumberOfLayers, and then transmitted. Of course, in other embodiments of the present application, the predetermined order may be to traverse object precodingAndNumberOfLayers first and then traverse object mcsAndTBS, which embodiments of the present application are not limited in this respect. In addition, referring to the third scenario in the foregoing description of the predetermined sequence, the predetermined sequence may include a plurality of possibilities, for example, the predetermined sequence may be to traverse the modulation coding parameter first, then the spatial scheduling parameter, and for the modulation coding parameter, the MCS may be traversed first, then the TBS may be traversed, for the spatial scheduling parameter, the precoding may be traversed first, then the number of layers may be traversed, and for example, the predetermined sequence may be to traverse the modulation coding parameter first, then the spatial scheduling parameter, and for the modulation coding parameter, the TBS may be traversed first, then the MCS may be traversed, for the spatial scheduling parameter, the number of layers may be traversed first, then the precoding may be traversed, and so on. Embodiments of the present application are not illustrated herein.

The at least two wireless signals may be transmitted in at least two time domain units, respectively, and the at least two wireless signals may be transmitted in the same frequency domain unit, or in at least two frequency domain units, respectively. The description of the frequency domain unit may refer to the first target configuration, and the embodiments of the present application are not described herein.

The object precodingAndNumberOfLayers is precodingAndNumberOfLayers with an index number of a third object parameter value in the precodingAndNumberOfLayers index table, the third object parameter value is one index value from 0 to D in the precodingAndNumberOfLayers index table, and D is an integer greater than or equal to 1. Illustratively, D is 63.

It should be noted that, in the embodiment of the present application, the case where the precoding and layer numbers share the index table and the index number is described, in other possible implementation manners, the precoding index table and the layer number index table may be used for the precoding and layer numbers, and in this case, the target precoding and the target layer numbers need to be determined respectively, that is, the target configuration needs to include the target parameter value corresponding to the target precoding and the target parameter value corresponding to the target layer number, which is not limited in the embodiment of the present application.

In the following several target configurations, a case where precoding and the number of layers share one index table will be described as an example.

In the fourth target configuration, the target configuration includes four scheduling parameters, namely MCS, TBS, precoding and layer number, but since both MCS and TBS correspond to the first target parameter and both precoding and layer number correspond to the third target parameter, the type of the target configuration that can be generated based on the scheduling parameter depends on the first target parameter value and the number of values that can be taken by the third target parameter value. When the first target parameter value of mcsAndTBS is M, when the third target parameter value of precodingAndNumberOfLayers is P, P is an integer greater than 1, and p×m target configurations can be determined based on the scheduling parameter, and accordingly, p×m target signals can be transmitted using the p×m target configurations for a known group of bits.

For example, fig. 8 shows a schematic diagram of a known set of bits modulated and encoded with MCS and TBS (i.e. mcsAndTBS) having first target parameter values of 0 to 31 respectively, and then transmitted in 32 time domain units, on the basis of which precoding and layer number (i.e. precodingAndNumberOfLayers) having third target parameter values of 0 to 63 respectively are transmitted in the same frequency domain unit, that is, in the embodiment shown in fig. 8, the predetermined sequence is traversing the target mcsAndTBS first and then traversing the target precoding and layer number. In fig. 8, 32×64 (i.e., 2048) target signals are transmitted using one of the fourth target configurations for a known set of bits.

In one implementation, the precoding and the number of layers are parameters of Multiple-Input Multiple-Output (MIMO) configuration.

When the receiving device of the wireless signal is a base station, the target signal sent by the fourth target configuration is an uplink wireless signal, and the uplink wireless signal can provide various MCS and TBS for the base station and various MIMO configured wireless signals, and can train an ML model for uplink AMC and MIMO self-adaption so as to optimize an uplink scheduler of the base station; when the receiving device of the wireless signal is a terminal, the target signal sent by the fourth target configuration is a downlink wireless signal, the downlink wireless signal can provide various MCS and TBS for the terminal and various MIMO configured wireless signals, an ML model for downlink AMC and MIMO self-adaption can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

In a fifth target configuration, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, a transmission waveform, and fourth target parameter values of the transmission waveform. Both MCS and TBS belong to the same type of parameter, i.e. modulation coding parameter. The transmission waveform belongs to a type of parameter of the transmission waveform.

At least one of the at least two target signals is a signal transmitted using the target mcsAndTBS and the target transmit waveform for a known set of bits. The at least one target signal may be transmitted in a predetermined order for a known set of bits using the target mcsAndTBS and the target transmit waveform. The predetermined sequence may be: the target mcsAndTBS is traversed first and then the target transmit waveform is traversed. That is, a known set of bits is first modulated and encoded with at least one target mcsAndTBS, then sequentially transmitted in different time-domain units, and then mapped to the target transmission waveform for transmission. Of course, in other embodiments of the present application, the predetermined sequence may be to traverse the transmission waveform first and then traverse the target mcsAndTBS, which is not limited in this embodiment of the present application.

The target mcsAndTBS is mcsAndTBS with an index number of the first target parameter value in the mcsAndTBS index table, and the fourth target parameter value of the transmission waveform corresponds to the target transmission waveform.

In the fifth target configuration mode, the target configuration includes three scheduling parameters, namely, MCS, TBS and transmission waveform, but since both MCS and TBS correspond to the first target parameter, the type of target configuration that can be determined based on the scheduling parameter depends on the first target parameter value and the number of values that can be taken by the fourth target parameter value. When the first target parameter value of mcsAndTBS is M, when the target transmission waveform is R, R is an integer greater than 1, based on the scheduling parameter, r×m target configurations can be determined, and accordingly r×m target signals can be transmitted by using the r×m target configurations for a known group of bits.

In one implementation, the transform-based precoder (Transform Precoder) may send a transmit waveform as a transmit waveform corresponding to an enabled transform precoder and a disable transform precoder. The two transmission waveforms are transmission waveforms of discrete Fourier transform (Discrete Fourier Transform, DFT) spread orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM), and corresponding English is Discrete Fourier Transformation spread OFDM, which is called DFT-s-OFDM for short. The two transmission waveforms may also be referred to as Single-carrier frequency division multiplexing (Single-Carrier Frequency Division Multiple Access). DFT-s-OFDM enables similar transmission characteristics to single carrier, with better coverage than OFDM, which adds a transform precoder before the inverse fast fourier transform (Fast Fourier Transformation, FFT) step.

The scheduling parameters of the target configuration in the fifth target configuration may also include first target parameter values of MCS, TBS, MCS and TBS, the transform precoder configuration, and fifth target parameter values of the transform precoder configuration. At least one of the at least two target signals is a signal transmitted using a target mcsAndTBS for a known set of bits and a target transform precoder configuration. The at least one target signal may be a signal transmitted in a predetermined order for a known set of bits using a target mcsAndTBS and target transform precoder configuration. The predetermined sequence may be: the target mcsAndTBS is traversed first and then the target transform precoder configuration is traversed, that is, a known set of bits is modulated and encoded by at least one target mcsAndTBS, then sequentially transmitted in different time-domain units, and then mapped to the target transform precoder configuration for transmission. Of course, in other embodiments of the present application, the predetermined order may be configured for traversing the target antenna port first and then traversing the target transform precoder, which embodiments of the present application do not limit.

The at least two target signals may be transmitted in at least two time domain units, respectively, and the at least two wireless signals may be transmitted in the same frequency domain unit, or in at least two frequency domain units, respectively. The description of the frequency domain unit may refer to the first target configuration, and the embodiments of the present application are not described herein.

Wherein the transform precoder is configured to transmit a transmit waveform, the target transmit waveform being transmitted in accordance with the target transform precoder configuration. The target transform precoder is configured as a transform precoder with enabled or disabled fifth target parameter values of the transform precoder configuration, and the target mcsAndTBS is mcsAndTBS with index numbers of the first target parameter values in the mcsAndTBS index table.

The parameter corresponding to the enabled transform precoder configuration is set to transformPrecoder =enabled, and the parameter corresponding to the disabled transform precoder configuration is set to transformPrecoder =disabled.

For example, fig. 9 shows a schematic diagram of a known set of bits modulated and encoded with MCS and TBS (i.e., mcsAndTBS) having first target parameter values of 0 to 31, respectively, and then transmitted in 32 time-domain units, respectively, on the basis of which two transform precoder configurations (i.e., transform precoder configuration=enabled and transform precoder configuration=disabled) are respectively adopted, and transmitted in the same frequency-domain unit, that is, in the embodiment shown in fig. 9, the predetermined order is to traverse the target mcsAndTBS first and then traverse the target transform precoder. In fig. 9, 32 x2 (i.e. 64) target signals are transmitted for a known set of bits based on using the fifth target configuration.

In the fifth configuration, the transmission waveform is transmitted by using the transform precoder as an example, and in other implementations of the embodiment of the present application, other transmission waveforms may be transmitted without using the transform precoder, which is not limited by the embodiment of the present application.

When the receiving device of the wireless signal is a base station, the target signal sent by the fifth target configuration is adopted as an uplink wireless signal, the uplink wireless signal can provide wireless signals traversing various MCS and TBS and transmission waveforms for the base station, and an ML model for uplink AMC and transmission waveform selection can be trained to optimize an uplink scheduler of the base station; when the receiving device of the wireless signal is a terminal, the target signal sent by the fifth target configuration is a downlink wireless signal, the downlink wireless signal can provide wireless signals traversing various MCS and TBS and transmitting waveforms for the terminal, an ML model for downlink AMC and selecting the transmitting waveforms can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

In a sixth target configuration, the scheduling parameters of the target configuration include MCS, TBS, MCS and the first target parameter value of the TBS, numerology and the sixth target parameter value of numerology. Wherein, the MCS and TBS both belong to the same type of parameter, namely modulation coding parameter. Numerology belong to the type of parameter of the basic parameter set.

At least one of the at least two target signals is a signal transmitted using target mcsAndTBS and target numerology for a known set of bits. The at least one target signal may be generated for a known set of bits in a predetermined order using target mcsAndTBS and target numerology processing. The predetermined sequence may be: traversing object mcsAndTBS first and then traversing object numerology. That is, a known set of bits is first modulation coded with at least one target mcsAndTBS, then sequentially transmitted in different time-domain units, and then mapped to at least one target numerology for transmission, respectively. Of course, in other embodiments of the present application, the predetermined order may be to traverse object numerology first and then traverse object mcsAndTBS, which embodiments of the present application are not limited in this respect.

Note that, the target numerology and the subcarrier spacing may share an index number, and for example, please continue to refer to table 1, the sixth target parameter values are μ=0 (i.e. scs=15 kHz), μ=1 (i.e. scs=30 kHz), and μ=2 (i.e. scs=60 kHz), and then a known set of bits is first modulated and encoded by at least one target mcsAndTBS, and then sequentially transmitted in different time domain units, and then mapped to a target numerology of μ=0, a target numerology of μ=1, and a target numerology of μ=2, respectively.

Wherein, the parameter value of the object numerology is numerology with the index number of the object parameter value of numerology in the index table, the sixth object parameter value is one index value of index numbers of 0 to E in the index table numerology, and E is an integer greater than or equal to 1. For example, E is 4.

In the sixth target configuration, three scheduling parameters, namely MCS, TBS and numerology, are included in the target configuration, but since both MCS and TBS correspond to the first target parameter, the type of target configuration that can be determined based on the scheduling parameter depends on the first target parameter value and the number of values that can be taken by the sixth target parameter value. When the first target parameter value of mcsAndTBS is M, when the sixth target parameter value of numerology is Q, Q is an integer greater than 1, q×m target configurations can be determined based on the scheduling parameter, and accordingly q×m target signals can be transmitted using the q×m target configurations for a known set of bits.

For example, fig. 10 shows a schematic diagram of a known set of bits modulated and encoded with MCS and TBS (i.e., mcsAndTBS) having first target parameter values of 0 to 31, respectively, and then transmitted in 32 time-domain units, respectively, based on which a sixth target parameter value (denoted by a sixth target parameter μ in the figure) is 0, 1, and 2, respectively, and transmitted in the same frequency-domain unit, that is, in the embodiment shown in fig. 10, the predetermined sequence is to traverse the target mcsAndTBS first and then traverse the target numerology. In fig. 10, 32 x 3 (i.e., 96) target signals are generated for a known set of bits based on employing the sixth target configuration.

When the receiving device of the wireless signal is a base station, the target signal sent by the sixth target configuration is an uplink wireless signal, and the uplink wireless signal can provide various MCS and TBS for the base station and numerology wireless signals, and can train an ML model for uplink AMC and numerology selection so as to optimize an uplink scheduler of the base station; when the receiving device of the wireless signal is a terminal, the target signal sent by the sixth target configuration is a downlink wireless signal, the downlink wireless signal can provide wireless signals traversing various MCSs and numerology for the terminal, can train an ML model for downlink AMC and numerology selection, is uploaded to the base station by the terminal and then is used for optimizing a downlink scheduler of the base station, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize the downlink scheduler of the base station based on the training result.

In a seventh target configuration, the scheduling parameters of the target configuration include MCS, TBS, MCS and the first target parameter value of the TBS, the sixth target parameter value of numerology, numerology, BWP and the seventh target parameter value of BWP. Wherein, the MCS and TBS both belong to the same type of parameter, namely modulation coding parameter. Numerology belong to the type of parameter of the basic parameter set. BWP belongs to the type of parameters of the frequency domain scheduling parameters.

At least one of the at least two target signals is a signal transmitted using target mcsAndTBS, target numerology, and target BWP for a known set of bits. The at least one target signal may be transmitted in a predetermined order for a known set of bits, using target mcsAndTBS, target numerology, and target BWP. The predetermined sequence may be: target mcsAndTBS is traversed first, target numerology is traversed again, and target BWP is traversed again. That is, a known set of bits is first modulation coded with at least one target mcsAndTBS, then sequentially transmitted in different time-domain units, then mapped to at least one target numerology, and then transmitted with at least one target BWP. Of course, in other embodiments of the present application, the predetermined order may be to first traverse the target numerology, then traverse the target mcsAndTBS, then traverse the target BWP, or first traverse the target numerology, then traverse the target BWP, then traverse the target mcsAndTBS, or first traverse the target mcsAndTBS, then traverse the target BWP, then traverse the target numerology, or first traverse the target BWP, then traverse the target mcsAndTBS, then traverse the target numerology, or first traverse the target BWP, then traverse the target numerology, and then traverse the target mcsAndTBS.

Wherein, the target mcsAndTBS is mcsAndTBS with the index number of the first target parameter value in the mcsAndTBS index table; the parameter value of the target numerology is numerology with the index number of the sixth target parameter value in the numerology index table; the parameter value of BWP is broadband or narrowband, and the target BWP is broadband BWP or narrowband BWP.

In the seventh target configuration mode, the target configuration includes four scheduling parameters, that is, MCS, TBS, numerology and BWP, but since the MCS and the TBS both correspond to the first target parameter, the type of the target configuration that can be determined based on the scheduling parameter depends on the number of values that can be taken by the first target parameter value, the sixth target parameter value, and the seventh target parameter value. When the first target parameter value of mcsAndTBS is M, when the sixth target parameter value of numerology is Q, when the seventh target parameter value of BWP is S, S is an integer greater than 1, and based on the scheduling parameter, s×q×m target configurations can be determined, and accordingly s×q×m target signals can be transmitted using the s×q×m target configurations for a known set of bits.

For example, fig. 11 shows a schematic diagram of modulating and encoding a known set of bits with MCS and TBS (i.e. mcsAndTBS) having first target parameter values of 0 to 31 respectively, and then transmitting the modulated bits in 32 time-domain units respectively, on the basis of which μ=0, μ=1 and μ=2 are respectively transmitted, and on the basis of which two BWP, wideband BWP and narrowband BWP, are respectively transmitted in the same frequency-domain unit, that is, in the embodiment shown in fig. 11, the predetermined sequence is to traverse the target mcsAndTBS first, then traverse numerology, and then traverse the target BWP. In fig. 11, 32×3×2 (i.e., 192) target signals are transmitted for a known set of bits based on using the seventh target configuration.

It should be noted that, in fig. 11, the correspondence between the narrowband BWP and the time domain unit and the correspondence between the wideband BWP and the time domain unit are only illustrative, and in the embodiment of the present application, at least one target signal corresponding to the narrowband BWP and at least one target signal corresponding to the narrowband BWP may also correspond to the same time domain unit during actual implementation, so that time domain resources may be saved. But in order to avoid increasing the complexity of the target signal in the time dimension, the at least one target signal corresponding to the narrowband BWP and the at least one target signal corresponding to the narrowband BWP may be sequentially transmitted in a plurality of time domain units, i.e., the case shown in fig. 11.

When the receiving device of the wireless signal is a base station, the target signal sent by the seventh target configuration is an uplink wireless signal, and the uplink wireless signal can provide wireless signals traversing various MCS and TBS, numerology and frequency domain resources for the base station, and can train an ML model for uplink AMC, numerology selection and frequency domain resource selection so as to optimize an uplink scheduler of the base station; when the receiving device of the wireless signal is a terminal, the target signal sent by the seventh target configuration is a downlink wireless signal, the downlink wireless signal can provide wireless signals traversing various MCS and TBS, numerology and frequency domain resources for the terminal, an ML model for downlink AMC, numerology selection and frequency domain resource selection can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

In an eighth target configuration, the scheduling parameters of the target configuration include MCS, TBS, MCS and the first target parameter value of the TBS and the power parameter. Wherein, the MCS and TBS both belong to the same type of parameter, namely modulation coding parameter. The power parameter belongs to a type of parameter of the power parameter.

At least one of the at least two target signals is a signal transmitted using the target mcsAndTBS and the target power parameter for a known set of bits. The at least one target signal may be transmitted in a predetermined order for a known set of bits using the target mcsAndTBS and the target power parameter. The predetermined sequence may be: the target mcsAndTBS is traversed first and then the target power parameters are traversed. That is, a known set of bits is first modulation coded with at least one target mcsAndTBS and then sequentially transmitted in different time-domain units, and then transmitted with the target power parameter. Of course, in other embodiments of the present application, the predetermined order may be to traverse the target power parameter first and then traverse the target mcsAndTBS, which embodiments of the present application are not limited to.

In the eighth target configuration, the target configuration includes three scheduling parameters, namely, MCS, TBS and power value, but since both MCS and TBS correspond to the first target parameter, the type of target configuration that can be determined based on the scheduling parameter depends on the first target parameter value and the number of target power values that can be taken. When the first target parameter value of mcsAndTBS is M, when the target power value is T, T is an integer greater than 1, based on the scheduling parameter, t×m target configurations can be determined, and accordingly, t×m target signals can be transmitted using the t×m target configurations for a known set of bits.

For example, fig. 12 shows a schematic diagram of modulating and encoding a known set of bits with MCS and TBS (that is mcsAndTBS) having first target parameter values of 0 to 31 respectively, and then transmitting the modulated bits in 32 time domain units respectively, and then transmitting the modulated bits in the same frequency domain unit respectively with target power parameter 1, target power parameter 2 and target power parameter 3, that is, in the embodiment shown in fig. 12, the predetermined sequence is to traverse target mcsAndTBS first and then traverse the target power parameter. In fig. 12, 32 x 3 (i.e., 96) target signals are transmitted using the eighth target configuration for a known set of bits.

When the receiving device of the wireless signal is a base station, the target signal sent by the eighth target configuration is an uplink wireless signal, and the uplink wireless signal can provide wireless signals traversing various MCS and TBS and various power parameters for the base station, and can train an ML model for uplink AMC and power parameter selection so as to optimize an uplink scheduler of the base station; when the receiving device of the wireless signal is a terminal, the target signal sent by the eighth target configuration is a downlink wireless signal, the downlink wireless signal can provide wireless signals traversing various MCS and TBS and various power parameters for the terminal, an ML model for downlink AMC and power parameter selection can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

It should be noted that the first to eighth target configurations are merely exemplary combinations, and in other implementations, the scheduling parameters may be flexibly combined into a target configuration with more dimensions to generate a more comprehensive target signal to train the ML model.

It should be further noted that fig. 5 to 12 illustrate schematic diagrams of transmitting at least two target signals in the same frequency domain unit. In practical implementation, the at least two target signals may be transmitted simultaneously in at least two frequency domain units, respectively. As shown in fig. 13, fig. 13 is a schematic diagram illustrating that the generated 192 target signals are transmitted in three frequency domain units (i.e., corresponding to the sub-band 0, the sub-band 1, and the sub-band 2, respectively) based on the seventh target configuration.

It should be noted that at least one target signal in the embodiment shown in fig. 13 traverses both the target BWP and the plurality of frequency domain units. In other implementations, the at least one wireless signal may traverse multiple frequency domain units for a target BWP, as well, which embodiments of the application are not limited in this respect.

When the receiving device of the wireless signal is a base station, the wireless signal traversing various scheduling parameters, target parameter values of the scheduling parameters, frequency domain resources and time domain resources can be provided for the base station, and an ML model for uplink AMC, frequency domain resource selection and time domain resource selection can be trained to optimize an uplink scheduler of the base station; when the receiving device of the wireless signal is a terminal, the wireless signal traversing various scheduling parameters, target parameter values of the scheduling parameters, frequency domain resources and time domain resources can be provided for the terminal, an ML model for downlink AMC, frequency domain resource selection and time domain resource selection can be trained, and after the training result of the ML is uploaded to the base station by the terminal, the base station can optimize a downlink scheduler of the base station based on the training result.

In the foregoing embodiments described in fig. 1 to 3, in the embodiment of the present application, the receiving device of the wireless signal may be a terminal or a base station, and the sending device of the wireless signal may also be a terminal or a base station. The above signal transmission method will be described below with respect to two cases, namely, a wireless signal receiving apparatus as a terminal, a wireless signal transmitting apparatus as a base station, a wireless signal receiving apparatus as a base station, and a wireless signal transmitting apparatus as a terminal.

In the first case, the receiving device of the wireless signal is a base station, and the transmitting device of the wireless signal is a terminal, and this case may correspond to the implementation environment shown in fig. 1. In addition, as shown in fig. 14, the signal transmission method may include:

step 501, the terminal determines at least two target configurations.

In step 501, there may be various manners in which the terminal determines at least two target configurations, and the following five implementation manners are taken as examples to describe embodiments of the present application.

In a first implementation, the at least two target configurations are predefined. Then in step 501, the terminal determines that the at least two target configurations include: the terminal determines the at least two target configurations according to a predefined.

In a first implementation, the at least two target configurations are predefined, meaning that the scheduling parameters of each of the at least two target configurations and the target parameter values of the scheduling parameters are predefined.

When each of the at least two target configurations is predefined, at least two of the at least two target configurations are different. That is, the at least two target configurations include at least two target configurations. Thus, at least two target signals sent by adopting the at least two target configurations are ensured to have more randomness, and the ML model can be comprehensively trained.

In a second implementation, the target configuration is determined from the first higher layer signaling. The signal transmission method further comprises, before step 501:

and A1, the base station generates and transmits a first high-layer signaling to the terminal. Then in step 501, the terminal determines that the target configuration includes: and the terminal determines target configuration according to the received first high-layer signaling.

In this second implementation, the target configuration is determined according to the first higher layer signaling, which means that the scheduling parameters in the target configuration and the target parameter values of the scheduling parameters are determined according to the first higher layer signaling.

In one implementation, the target configuration is determined from first higher layer signaling comprising:

For the scheduling parameter part, the scheduling parameters in the target configuration are determined according to the first higher layer signaling, or for the target parameter part of the scheduling parameters, all target parameter values of the scheduling parameters in the target configuration are determined according to the first higher layer signaling, or part of the target parameter values of the scheduling parameters in the target configuration are determined according to the first higher layer signaling, and the target parameter values of the other parts are determined according to a predefined manner (e.g. according to a default value default). This saves the signalling overhead.

For example, for the second target configuration described above, the scheduling parameters of the target configuration are determined to include MCS and TBS by the higher layer signaling, and 32 target MCSs and 32 target TBSs may be configured according to the higher layer signaling, but if the higher layer signaling only configures the target parameter value of the TBS and does not configure the target parameter value of the MCS, all the 32 target MCSs may be traversed, or if the higher layer signaling does not configure the target parameter value of the TBS and MCS, all the 32 target MCSs and 32 target TBSs may be traversed.

Of course, in other implementations, the scheduling parameters in the target configuration may also be set according to a predefined manner, which is not limited by the embodiments of the present application.

By adopting the first implementation manner or the second implementation manner, only one uplink wireless signal and one downlink wireless signal are correspondingly generated, and when the DCI indicates the transmission target signal, the unique uplink wireless signal or the unique downlink wireless signal is transmitted without carrying out the selection operation of the wireless signals.

In a third implementation, the target configuration is determined in accordance with second higher layer signaling in a predefined plurality of configurations. Then prior to step 501, further comprising:

Step B1, the base station generates and sends a second high-layer signaling to the terminal;

Step B2, the terminal determines a plurality of configurations according to the predefining;

Then in step 501, the terminal determines that the target configuration includes: the terminal determines a target configuration among the predefined plurality of configurations according to the received second higher layer signaling.

In a third implementation, a plurality of configurations, at least two of which may be different, need to be predefined first, and then a target configuration is determined from the plurality of configurations by the second higher layer signaling for transmitting a known set of bits. For example, 8 configurations are predefined, each of which includes at least one scheduling parameter and a target parameter value of the scheduling parameter, and the second higher layer signaling selects the 2 nd configuration from the 8 configurations, and when the DCI indicates a transmission target signal (this procedure may also be referred to as a DCI activation target signal), the 2 nd configuration is adopted as the target configuration to transmit a known set of bits.

In a fourth implementation, the target configuration is determined in a predefined plurality of configurations according to the first control information. Then prior to step 501, further comprising:

Step C1, a base station generates and transmits first DCI to a terminal;

step C2, the terminal determines a plurality of configurations according to the predefining;

Then in step 501, the terminal determines that the target configuration includes: the terminal determines a target configuration among the predefined plurality of configurations according to the received first DCI.

In an implementation, the control information may be DCI or side chain control information (Sidelink Control Information, SCI), which is not limited in this embodiment of the present application. When the control information is SCI, the receiving device of the wireless signal and the transmitting device of the wireless signal may be terminals.

In a fourth implementation, a plurality of configurations, at least two of which may be different, need first be predefined, and then a target configuration is determined from the plurality of configurations by the first control information. For example, 8 configurations are predefined, wherein each configuration includes at least one scheduling parameter and a target parameter value of the scheduling parameter, and the first control information selects the 2 nd configuration from the 8 configurations, and when the DCI indicates to activate the target signal, the 2 nd configuration is used as the target configuration to transmit a known set of bits. Wherein, the first control information may be DCI for indicating the activation target signal or other DCI, and when the first control information is DCI for indicating the activation target signal, a different field (field) may be set in the DCI to indicate the determination of the target configuration among a predefined plurality of configurations or to indicate the activation target signal, which is not limited by the embodiment of the present application.

In a fifth implementation, the target configuration is determined from a predefined plurality of configurations according to third higher layer signaling, and the candidate configuration is determined from the second control information. Then prior to step 501, further comprising:

step C1, the base station generates and sends a third high-layer signaling to the terminal;

Step C3, the terminal determines candidate configurations in a plurality of configurations determined according to predefining according to the third high-layer signaling;

And C4, the base station generates and transmits second DCI to the terminal.

The process of determining the target configuration by the terminal in step 501 may include: and the terminal determines target configuration in the candidate configuration according to the received second DCI.

In a fifth implementation, a plurality of configurations, at least two of which may be different, need to be predefined first, then a candidate configuration is determined from the plurality of configurations by the third higher layer signaling, and then a target configuration is determined from the candidate configuration by the second control information. For example, 8 configurations are predefined, wherein each configuration includes at least one scheduling parameter and a target parameter value of the scheduling parameter, the third higher layer signaling selects the 0 th configuration, the 2 nd configuration and the 5 th configuration from the 8 configurations as candidate configurations, then the second control information selects the 2 nd candidate configuration from the 8 configurations as target configuration, and when the DCI indicates to activate the target signal, the 2 nd candidate configuration is adopted as the target configuration to transmit a known set of bits. Wherein, the second control information may be DCI for indicating the activation target signal or other DCI, and when the second control information is DCI for indicating the activation target signal, a different field (field) may be set in the DCI to indicate the determination of the target configuration among a predefined plurality of configurations or to indicate the activation target signal, which is not limited by the embodiment of the present application.

The first implementation described above does not require any signaling overhead to be introduced in determining the target configuration. The second implementation manner can semi-statically adjust the configuration parameters in the target configuration, and has better flexibility. The third implementation may predefine multiple target configurations, while considering different communication scenarios, to fully train the ML model. The fourth implementation may dynamically select the target configuration, and is particularly suitable for a communication scenario in which the learning environment changes rapidly. The fifth implementation may reduce the control information overhead while maintaining a certain flexibility of selection compared to the fourth implementation.

Step 502, the terminal sends at least two target signals to the base station by using the at least two target configurations.

The at least two target signals are signals transmitted using at least two target configurations for the same original information. The description of the relevant process may refer to step 401 described above and the description related to the target configuration described above.

Step 503, the base station receives the at least two target signals.

The at least two target signals are transmitted to the base station in at least two time domain units, respectively. In an implementation, the at least two target signals may be transmitted to the base station in at least two frequency domain units, respectively.

Step 504, the base station processes the at least two target signals by adopting target configuration to a signal receiving end, and generates target information.

The target information and the raw information may be used to form a set of training samples of the ML model. The content of the target information corresponds to the content of the original information, for example, the original information is a known set of bits, and the target information is also a set of bits, where the set of bits is a set of bits generated by processing one target signal of the received at least two target signals by the signal receiving end through target configuration. In the embodiment of the present application, the original information is taken as a known set of bits, and the target information is also taken as a set of bits as an example.

The signal receiving end is a receiving device of a wireless signal, and in the embodiment of the application, the signal receiving end is a base station. The signal receiving-end processing may be a reverse procedure of the transmission of a known set of bits according to a target configuration by the transmitting apparatus of the wireless signal, which depends on the scheduling parameters and their target parameter values in the target configuration assumed for the known set of bits, which is described below by way of example with respect to the above eight target configurations.

The process of processing the at least two target signals at the signal receiving end according to the target configuration and generating the target information may include:

processing the at least two target signals by adopting MCS and target parameter values of the MCS at a signal receiving end to generate target information;

Or the at least two target signals are processed by a signal receiving end by adopting MCS, TBS, MCS and a first target parameter value of TBS to generate target information;

Or the at least two target signals are processed by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS, an antenna port and second target parameter values of the antenna port, so as to generate target information;

or the at least two target signals are processed by a signal receiving end by adopting MCS, TBS, MCS and a third target parameter value of a first target parameter value, a precoding value, a layer number, a precoding value and a layer number of TBS to generate target information;

or the at least two target signals are processed by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS, transmission waveforms and fourth target parameter values of the transmission waveforms, so as to generate target information;

Or the at least two target signals are processed by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS, transformation precoder configuration and fifth target parameter values of the transformation precoder configuration, so as to generate target information;

or the at least two target signals are processed by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS, and sixth target parameter values of numerology and numerology, so as to generate target information;

Or the at least two target signals are processed by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS, sixth target parameter values of numerology, numerology, BWP and seventh target parameter values of BWP to generate target information;

or the at least two target signals are processed by a signal receiving end by adopting first target parameter values and power values of MCS, TBS, MCS and TBS to generate target information.

Step 505, the base station adopts a training sample to train the ML model to obtain a training result.

Step 506, the base station optimizes the uplink scheduler based on the training result.

The relevant content in the steps 501 to 506 may refer to the foregoing description, and the embodiments of the present application are not repeated here.

It should be noted that, in the embodiment of the present application, the training sample includes the target information and the original information is described as an example, and in other implementations, the training sample may include only the target information, or the training sample includes only the target configuration, which is not limited in this embodiment of the present application.

In summary, in the signal transmission method provided by the embodiment of the present application, the base station may provide the target signal traversing various scheduling parameters, target parameter values of the scheduling parameters, frequency domain resources and time domain resources, and the training sample formed by a group of target bits corresponding to the target signal and a known group of bits may train the ML model for uplink AMC, frequency domain resource selection and time domain resource selection, and the base station may optimize the uplink scheduler of the base station based on the training result output by the ML model.

It will be appreciated that, in actual implementation, all or part of the steps 501 to 506 may be performed according to actual needs, which is not limited by the embodiment of the present application.

In the second case, the receiving device of the wireless signal is a terminal, and the transmitting device of the wireless signal is a base station, and this case may correspond to the implementation environment shown in fig. 2. As shown in fig. 15, the signal transmission method may include:

step 601, a base station sends at least two target signals to a terminal.

The at least two target signals are signals transmitted in at least two target configurations for the same set of known bits.

Wherein each of the at least two target configurations may be determined by the base station itself, and the determining manner may include: the base station determines the target configuration according to the predefining; the base station determines the target configuration among a predefined plurality of configurations.

Step 602, the terminal receives the at least two target signals.

The at least two target signals are transmitted to the terminal in at least two time domain units, respectively. In an implementation, the at least two target signals may be transmitted to the terminal in at least two frequency domain units, respectively.

And 603, the terminal processes the at least two target signals by adopting target configuration to a signal receiving end to generate target information.

The target information and the original information form a set of training samples of the ML model. The description of the processing at the signal receiving end may refer to the description of the processing at step 504, which is not repeated herein.

And step 604, training the ML model by the terminal by using the training sample to obtain a training result.

Step 605, the terminal sends the training result to the base station.

Step 606, the base station receives the training result.

Step 607, the base station optimizes the downlink scheduler based on the training result.

The relevant content in the steps 601 to 607 may refer to the foregoing description, and the embodiments of the present application are not repeated here.

In summary, in the signal transmission method provided by the embodiment of the present application, the target signal traversing various scheduling parameters, target parameter values of the scheduling parameters, frequency domain resources and time domain resources may be provided for the terminal, the training sample composed of the target information corresponding to the target signal and the original information may train the ML model for downlink AMC, frequency domain resource selection and time domain resource selection, and then the terminal uploads the training result of the ML to the base station, and the base station may optimize the downlink scheduler of the base station based on the training result.

It will be appreciated that, in actual implementation, all or part of the steps 601 to 607 may be performed according to actual needs, which is not limited by the embodiment of the present application.

Fig. 16 shows a block diagram of a wireless signal transmitting apparatus 800 according to an embodiment of the present application, where the apparatus 800 includes:

A transmitting module 801 for transmitting at least two target signals,

In an implementation, the target is configured as a set of scheduling parameters and a combination of target parameter values for the scheduling parameters.

the target configuration is predefined;

the target configuration is determined from a first higher layer signaling;

The target configuration is determined from a first DCI in a predefined plurality of configurations;

Or the target parameter values of the partial scheduling parameters in the target configuration are determined according to the first high layer signaling, and the target parameter values of other partial scheduling parameters are predefined.

MCS, TBS, transmission waveform, power parameters, antenna ports, precoding, number of layers, RS parameters, BWP, numerology, SCS, and CP.

At least one target signal in the at least two target signals is a signal transmitted by modulating and encoding the original information by adopting a target MCS;

At least one target signal in the at least two target signals is a signal sent by adopting target MCS and TBS to the original information;

and the target MCS and TBS are MCS and TBS with the index number of the first target parameter value in an MCS and TBS index table.

In an implementation manner, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, an antenna port, and second target parameter values of the antenna port, and at least one target signal of the at least two target signals is a signal sent by the target antenna port, where the original information adopts a target MCS and TBS;

At least one target signal in the at least two target signals is a signal sent by adopting target MCS and TBS, target precoding and layer number to the original information;

In an implementation manner, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, a transmission waveform, and a fourth target parameter value of the transmission waveform, and at least one of the at least two target signals is a signal sent by using the original information with a target MCS and TBS, and a target transmission waveform;

In an implementation, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, a transform precoder (Transform Precoder) configuration, and a fifth target parameter value of the transform precoder configuration, at least one of the at least two target signals is a signal sent by the original information using a target MCS and TBS, and the target transform precoder configuration;

the transformation precoder is configured to generate the transmission waveform, and the target transformation precoder is configured as a transformation precoder with a fifth target parameter value configured by the transformation precoder being enabled or disabled, and the target MCS and TBS are MCS and TBS with index numbers being the first target parameter value in an MCS and TBS index table.

In an implementation manner, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, numerology, and a sixth target parameter value of numerology, at least one target signal of the at least two target signals is a signal that uses the original information to adopt a target MCS and TBS, and a target numerology is a signal that is sent by the target MCS and TBS, where an index number in the MCS and TBS index table is the MCS and TBS of the first target parameter value, and a target numerology is numerology, where an index number in the numerology index table is the sixth target parameter value.

In an implementation manner, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, sixth target parameter value of numerology, numerology, BWP and seventh target parameter value of BWP, and at least one target signal of the at least two target signals is a signal sent by adopting the original information with target MCS and TBS, target numerology and target BWP;

The target MCS and TBS are MCS and TBS with an index number of the first target parameter value in the MCS and TBS index table, the target numerology is numerology with an index number of the sixth target parameter value in the numerology index table, and the seventh target parameter value of the BWP corresponds to the target BWP.

At least one target signal in the at least two target signals is a signal sent by adopting target MCS, TBS and target power parameters to the original information;

In one implementation, the original information includes a known set of bits.

In one implementation, the set of bits is a randomly generated set of bits.

In an implementation, the at least two target signals are generated using at least two target configurations for the same original information, including:

The at least two target signals are generated by adopting at least two target configurations for a group of bits with specified lengths in the same original information;

wherein the specified length is predefined, or is determined according to a higher layer signaling configuration, or according to a specified method calculation.

In one implementation, as shown in fig. 17, the apparatus 800 further includes:

The receiving module 802 is configured to receive a training result of the machine learning ML model after the sending module 801 sends the at least two target signals, where the training result is obtained by training the ML model according to a training sample formed by target information and the original information, and the target information is obtained by processing the at least two target signals by using the target configuration to perform signal receiving end.

In one implementation, as shown in fig. 18, the apparatus 800 further includes:

a processing module 803 for determining the at least two target configurations.

The receiving module 802 is configured to receive a first higher layer signaling, and the processing module 803 determines a target configuration according to the first higher layer signaling;

Or the receiving module 802 is configured to receive a second higher layer signaling, and the processing module 803 determines a target configuration from a predefined plurality of configurations according to the second higher layer signaling;

Or the receiving module 802 is configured to receive a first DCI, and the processing module 803 determines a target configuration from a predefined plurality of configurations according to the first DCI;

or the receiving module 802 is configured to receive a third higher layer signaling and a second DCI, the processing module 803 determines a candidate configuration from a predefined plurality of configurations according to the third higher layer signaling, and the processing module 803 determines a target configuration from the candidate configuration according to the second DCI.

In summary, in the wireless signal transmitting apparatus provided in the embodiment of the present application, by transmitting at least two target signals respectively transmitted in at least two time domain units, where the at least two target signals are generated by adopting at least two target configurations for the same original information, a wireless signal receiving apparatus may receive wireless signals with multiple configurations transmitted in a current communication environment, and the wireless signals may be used to optimize an ML model in the wireless signal receiving apparatus, so as to improve accuracy of training results output by the ML model.

Because the original information is known to the receiving device of the wireless signal, the receiving device of the wireless signal can judge the accuracy of the training result output by the ML model based on the original information and the target information corresponding to the received target signal, thereby being beneficial to optimizing the ML model.

Fig. 19 shows a further apparatus 900 for receiving a wireless signal according to an embodiment of the present application, where the apparatus includes:

The receiving module 901 is configured to receive at least two target signals, where the at least two target signals are signals sent by using at least two target configurations on the same original information.

the target configuration is predefined;

the target configuration is determined from a first higher layer signaling;

In an implementation, each of the wireless signals is transmitted in at least two frequency domain units, respectively.

In one implementation, the original information is a set of bits that are randomly generated.

Wherein the specified length is predefined, or the specified length is configured according to higher layer signaling, or the specified length is determined according to a specified device calculation.

In one implementation, as shown in fig. 20, the apparatus 900 includes:

A generating module 902, configured to process the at least two target signals by using the target configuration at a signal receiving end after receiving the at least two target signals, generate target information,

The target information and the original information form a set of training samples of a machine learning ML model.

In an implementation manner, the target configuration includes MCS and target parameter values of MCS, and at least one target signal of the at least two target signals is a signal that is sent by modulating and encoding the original information with a target MCS. The process of processing the at least two target signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by adopting the MCS and the target parameter value of the MCS at a signal receiving end to generate target information. And the target MCS is the MCS with the index number of the target parameter value in the MCS index table.

In an implementation manner, the target configuration includes MCS, TBS, and first target parameter values of MCS and TBS, and at least one target signal of the at least two target signals is a signal that transmits the original information using the target MCS and TBS. The process of processing the at least two target signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by adopting MCS, TBS, MCS and a first target parameter value of TBS at a signal receiving end to generate target information. The target MCS and TBS are MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table.

In an implementation manner, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, an antenna port, and second target parameter values of the antenna port, and at least one of the at least two target signals is a signal sent by the target antenna port, where the original information adopts a target MCS and TBS. The process of processing the at least two wireless signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by adopting first target parameter values of MCS, TBS, MCS and TBS, an antenna port and second target parameter values of the antenna port at a signal receiving end to generate target information. The target antenna port is an antenna port with the index number of the second target parameter value in an antenna port index table, and the target MCS and TBS are MCS and TBS with the index number of the first target parameter value in a MCS and TBS index table.

In an implementation manner, the target configuration includes first target parameter values, precoding, layer number and third target parameter values of MCS, TBS, MCS and TBS, and at least one target signal of the at least two target signals is a signal sent by adopting the original information to the target MCS and TBS, and the target precoding and layer number. The process of processing the at least two target signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by adopting MCS, TBS, MCS and a third target parameter value of a first target parameter value, a precoding value, a layer number, a precoding value and a layer number of TBS at a signal receiving end to generate target information. The target precoding and layer number is the precoding and layer number with the index number of the third target parameter value in the precoding and layer number index table, and the target MCS and TBS are the MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table.

In an implementation manner, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, a transmission waveform, and a fourth target parameter value of the transmission waveform, and at least one of the at least two target signals is a signal sent by using the original information with the target MCS and TBS, and the target transmission waveform. The process of processing the at least two target signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by adopting first target parameter values of MCS, TBS, MCS and TBS, transmission waveforms and fourth target parameter values of the transmission waveforms at a signal receiving end to generate target information. The target MCS and TBS are MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table, and the fourth target parameter value of the transmission waveform corresponds to the target transmission waveform.

In an implementation, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, a transform precoder (Transform Precoder) configuration, and a fifth target parameter value of the transform precoder configuration, at least one of the at least two target signals is a signal sent by the original information using a target MCS and TBS, and the target transform precoder configuration; the transform precoder is configured to generate the transmission waveform. The process of processing the at least two target signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS, transformation precoder configuration and fifth target parameter values of the transformation precoder configuration to generate target information. The target transform precoder is configured as a transform precoder with a fifth target parameter value configured by the transform precoder being enabled or disabled, and the target MCS and TBS are MCS and TBS with index numbers of the first target parameter value in an MCS and TBS index table.

In an implementation, the target configuration includes first target parameter values of MCS, TBS, MCS and TBS, numerology, and sixth target parameter values of numerology, and at least one of the at least two target signals is a signal sent by the target numerology using the target MCS and TBS for the original information. The process of processing the at least two wireless signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two wireless signals by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS and sixth target parameter values of numerology and numerology to generate target information. The target MCS and TBS are MCS and TBS having an index number of the first target parameter value in the MCS and TBS index table, and the target numerology is numerology having an index number of the sixth target parameter value in the numerology index table.

In an implementation, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS, sixth target parameter value of numerology, numerology, BWP, and seventh target parameter value of BWP, and at least one target signal of the at least two target signals is a signal sent by using the original information with target MCS and TBS, target numerology, and target BWP. The process of processing the at least two target signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by a signal receiving end by adopting first target parameter values of MCS, TBS, MCS and TBS, sixth target parameter values of numerology, numerology, BWP and seventh target parameter values of BWP to generate target information. The target MCS and TBS are MCS and TBS having an index number of the first target parameter value in an MCS and TBS index table, the target numerology is numerology having an index number of the sixth target parameter value in a numerology index table, and the seventh target parameter value of the BWP corresponds to the target BWP.

In an implementation manner, the scheduling parameters of the target configuration include first target parameter values of MCS, TBS, MCS and TBS and power parameters, and at least one target signal of the at least two target signals is a signal that uses target MCS and TBS and target power values to transmit the original information. The process of processing the at least two target signals by the signal receiving end through adopting target configuration and generating target information can comprise the following steps: and processing the at least two target signals by adopting first target parameter values and power parameters of MCS, TBS, MCS and TBS at a signal receiving end to generate target information. The target MCS and TBS are MCS and TBS with the index number of the first target parameter value in the MCS and TBS index table.

In one implementation, as shown in fig. 21, the apparatus 900 includes:

the training module 903 is configured to train the ML model by using the training sample after receiving the at least two target signals, to obtain a training result;

A sending module 904, configured to send the training result.

In one implementation, as illustrated in fig. 22, the apparatus 900 includes:

A processing module 905, configured to generate a first higher layer signaling, where the first higher layer signaling is used to determine a target configuration;

Or the processing module 905 is configured to generate a second higher layer signaling, where the second higher layer signaling is configured to determine a target configuration from a predefined plurality of configurations;

or the processing module 905 is configured to generate a first DCI, where the first DCI is configured to determine a target configuration from a predefined plurality of configurations;

Or the processing module 905 is configured to generate a third higher layer signaling and a second DCI, where the third higher layer signaling is used to determine a candidate configuration from a predefined plurality of configurations, and the second DCI is used to determine a target configuration from the candidate configurations.

In an implementation manner, the sending module 904 is configured to send a first higher layer signaling;

or the sending module 904 is configured to send second higher layer signaling;

or the sending module 904 is configured to send the first DCI;

Or the sending module 904 is configured to send the third higher layer signaling and the second DCI.

In summary, in the wireless signal receiving device provided in the embodiment of the present application, by receiving at least two target signals respectively transmitted in at least two time domain units, where the at least two wireless signals are generated by adopting at least two target configurations for the same original information, the wireless signal receiving device may receive wireless signals with multiple configurations transmitted in the current communication environment, and the wireless signals may be used to optimize an ML model in the wireless signal receiving device, so as to improve accuracy of training results output by the ML model.

Referring to fig. 23, a block diagram of a wireless signal transmitting apparatus according to an exemplary embodiment of the present application is shown, where the wireless signal transmitting apparatus may be a terminal or a base station, and includes: a processor 101, a receiver 102, a transmitter 103, a memory 104, and a bus 105.

The processor 101 includes one or more processing cores, and the processor 101 executes various functional applications and information processing by running software programs and modules.

The receiver 102 and the transmitter 103 may be implemented as one communication component, which may be a communication chip.

The memory 104 is connected to the processor 101 via a bus 105.

The memory 104 may be configured to store at least one instruction and the processor 101 may be configured to execute the at least one instruction to implement the steps performed by the first IAB base station in the method embodiment described above.

Further, the memory 104 may be implemented by any type of volatile or nonvolatile storage device or combination thereof, including but not limited to: magnetic or optical disks, electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), static Random Access Memory (SRAM), read-only memory (ROM), magnetic memory, flash memory, programmable read-only memory (PROM).

Wherein the configuration steps of the method described above with respect to the target configuration may be performed by the processor 101. For example, processor 101 may be configured to determine a target configuration from a first higher layer signaling, or to determine a target configuration from a predefined plurality of configurations from a second higher layer signaling, or to determine a target configuration from a predefined plurality of configurations from a first DCI, or to determine a candidate configuration from a predefined plurality of configurations from a third higher layer signaling, and to determine a target configuration from the candidate configuration from a second DCI. The steps of the foregoing method relating to receiving signaling or DCI may be performed by the receiver 102. For example, the receiver 102 is configured to receive the first higher layer signaling, or receive the second higher layer signaling, or receive the first DCI, or receive the third higher layer signaling, and the second DCI. The steps of the foregoing method relating to transmission may be performed by the transmitter 103. For example, the transmitter 103 transmits at least two target signals.

The present application provides a computer readable storage medium having stored therein at least one instruction that is loaded and executed by the processor to implement the signal transmission method provided by each of the method embodiments described above.

The application also provides a computer program product which, when run on a computer, causes the computer to perform the signal transmission method provided by the above-mentioned method embodiments.

The application also provides a chip which comprises the programmable logic circuit and/or the program instructions and is used for realizing the signal transmission method provided by each method embodiment when the chip is operated.

Referring to fig. 24, a block diagram of a wireless signal receiving apparatus according to an exemplary embodiment of the present application is shown, where the wireless signal receiving apparatus may be a terminal or a base station, and includes: a processor 111, a receiver 112, a transmitter 113, a memory 114 and a bus 115.

The processor 111 includes one or more processing cores, and the processor 111 executes various functional applications and information processing by running software programs and modules.

The receiver 112 and the transmitter 113 may be implemented as one communication component, which may be a communication chip.

The memory 114 is connected to the processor 111 via a bus 115.

The memory 114 may be configured to store at least one instruction and the processor 111 may be configured to execute the at least one instruction to implement the steps performed by the first IAB base station in the above-described method embodiment.

Further, the memory 114 may be implemented by any type of volatile or nonvolatile storage device, including but not limited to: magnetic or optical disks, electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), static Random Access Memory (SRAM), read-only memory (ROM), magnetic memory, flash memory, programmable read-only memory (PROM).

Wherein the configuration steps of the method described above with respect to the target configuration may be performed by the processor 111. For example, processor 111 may be configured to generate first higher layer signaling, or to generate second higher layer signaling, or to generate first DC, or to generate third higher layer signaling, and second DCI. The steps of the foregoing method relating to transmitting signaling or DCI may be performed by the transmitter 113. For example, the transmitter 113 is configured to transmit the first higher layer signaling, or transmit the second higher layer signaling, or transmit the first DCI, or transmit the third higher layer signaling, and the second DCI. The steps of the foregoing method relating to reception may be performed by the receiver 112. For example, the receiver 112 receives at least two target signals.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.

Claims

1. A method of signal transmission, the method comprising:

Receiving at least two target signals, wherein the at least two target signals are signals sent by adopting at least two target configurations to the same original information;

the target configuration includes a scheduling parameter and a target parameter value for the scheduling parameter, the scheduling parameter including at least one of the following types of parameters: modulation coding parameters, airspace scheduling parameters, frequency domain scheduling parameters, reference Signal (RS) parameters, power parameters, transmission waveforms and basic parameter sets;

The modulation coding parameters comprise at least one of modulation coding mode MCS and transport block size TBS; the airspace scheduling parameters comprise at least one of antenna ports, precoding and layer numbers; the frequency domain scheduling parameters include a bandwidth portion BWP; the basic parameter set comprises at least one of a parameter set, a subcarrier spacing SCS and a cyclic prefix CP;

processing the at least two target signals by adopting the target configuration at a signal receiving end to generate target information,

The target information and the original information form a group of training samples of a machine learning ML model;

training the ML model by adopting the training sample to obtain a training result;

And sending the training result.

2. A method of signal transmission, the method comprising:

transmitting at least two target signals, wherein the at least two target signals are signals transmitted by adopting at least two target configurations for the same original information;

And receiving training results of the machine learning ML model, wherein the training results are obtained by training the ML model according to training samples consisting of target information and the original information, and the target information is obtained by processing the signal receiving end of the at least two target signals by adopting the target configuration.

3. A transmission apparatus for wireless signals, the apparatus comprising:

a transmitting module for transmitting at least two target signals,

The at least two target signals are signals sent by adopting at least two target configurations to the same original information;

the apparatus further comprises:

the receiving module is used for receiving training results of the machine learning ML model after the at least two target signals are sent, the training results are obtained by training the ML model according to training samples formed by target information and the original information, and the target information is obtained by processing the at least two target signals by a signal receiving end through the target configuration.

4. A wireless signal receiving apparatus, the apparatus comprising:

the receiving module is used for receiving at least two target signals, wherein the at least two target signals are signals sent by adopting at least two target configurations to the same original information;

The device comprises:

a generating module, configured to process the at least two target signals by using the target configuration at a signal receiving end after receiving the at least two target signals, to generate target information,

The device comprises:

the training module is used for training the ML model by adopting the training sample after receiving the at least two target signals to obtain a training result;

and the sending module is used for sending the training result.

5. A signal transmission system comprising a wireless signal transmitting apparatus and a wireless signal receiving apparatus, wherein the wireless signal transmitting apparatus comprises the wireless signal transmitting apparatus according to claim 3, and the wireless signal receiving apparatus comprises the wireless signal receiving apparatus according to claim 4.

6. A wireless signal transmitting apparatus, characterized in that the apparatus comprises a transmitter,

The transmitter is used for transmitting at least two target signals, wherein the at least two target signals are signals transmitted by adopting at least two target configurations to the same original information;

The apparatus may further comprise a receiver that,

The receiver is configured to receive a training result of a machine learning ML model after the transmitter transmits the at least two target signals, where the training result is obtained by training the ML model according to a training sample composed of target information and the original information, and the target information is obtained by processing the at least two target signals by using the target configuration to a signal receiving end.

7. A receiving device of wireless signals is characterized in that the device comprises a receiver,

The receiver is used for receiving at least two target signals, wherein the at least two target signals are signals sent by adopting at least two target configurations to the same original information;

The apparatus may further comprise a processor configured to,

The processor is used for processing the at least two target signals by adopting the target configuration to a signal receiving end after the receiver receives the at least two target signals, generating target information,

the apparatus may further comprise a transmitter that,

The processor is used for training the ML model by adopting the training sample after the receiver receives the at least two target signals to obtain a training result;

the transmitter is used for transmitting the training result.

8. A computer readable storage medium storing at least one instruction for execution by a processor to implement the signal transmission method of claim 1 or 2.

9. A chip comprising programmable logic circuits and/or program instructions for implementing the signal transmission method according to claim 1 or 2 when said chip is run.