Wireless communication method, apparatus, storage medium and electronic apparatus

By dynamically configuring the target BLER, the problems of waste of resources and low spectrum efficiency caused by fixed target BLER are solved according to the communication scenario requirements and air interface status information, and more efficient wireless communication is achieved.

WO2025112521A1PCT designated stage expired Publication Date: 2025-06-05ZTE CORP
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Patent Information

Application Number
PCT/CN2024/102451
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-11-30
Filing Date
2024-06-28
Publication Date
2025-06-05

AI Technical Summary

Technical Problem

In wireless communication technology, the fixed target BLER cannot optimally adapt to communication needs, resulting in waste of resources and low spectrum efficiency.

Method used

By receiving the target BLER configuration information sent by the wireless communication node, the target BLER is dynamically configured according to the communication scenario requirements, air interface status information and data service quality requirements.

Benefits of technology

The flexible configuration of the target BLER is achieved, the spectrum efficiency is improved, the performance of the wireless communication system is optimized, and network resources are better utilized.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiments of the present disclosure provides a wireless communication method, an apparatus, a storage medium and an electronic apparatus. The method comprises: receiving configuration information which is sent by a wireless communication node and contains a target block error rate (BLER); and configuring the target BLER according to the configuration information.
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Description

Wireless communication method, device, storage medium and electronic device

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] The present disclosure is based on Chinese patent application CN 202311655823.3 filed on November 30, 2023, entitled “Method, device, storage medium and electronic device for wireless communication”, and claims the priority of the patent application, and all the contents disclosed therein are incorporated into the present disclosure by reference. Technical Field

[0003] The present disclosure relates to the field of communications, and more particularly, to a method, apparatus, storage medium, and electronic device for wireless communications. Background Art

[0004] In wireless communication technology, the target Block Error Rate (BLER) plays an important role in ensuring communication quality and system performance. In related technologies, for specific communication application scenarios, such as 5G NR (New Radio) eMBB (Enhanced Mobile Broadband) or 5G NR's URLLC (Ultra-Reliable Low Latency Communication), the target BLER is fixed. However, this fixed target BLER cannot optimally adapt to communication requirements, and may lead to resource waste and low spectrum efficiency due to the unreasonable fixed target BLER value.

[0005] To address the above issues, no effective solutions have been proposed so far.

[0006] Summary of the Invention

[0007] The embodiments of the present disclosure provide a method, apparatus, storage medium, and electronic device for wireless communication, to at least solve the problem in related technologies of low spectrum efficiency caused by the inability of a fixed target BLER to optimally adapt to communication requirements.

[0008] According to an embodiment of the present disclosure, a wireless communication method is provided, including: receiving configuration information including a target block error rate (BLER) sent by a wireless communication node; and configuring the target BLER according to the configuration information.

[0009] In an exemplary embodiment, the target BLER is determined by the wireless communication node according to target information, and the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

[0010] In an exemplary embodiment, when the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: enhanced mobile broadband eMBB scenario requirement information, low latency and high reliability communication URLLC scenario requirement information, and massive machine type communication MMTC scenario requirement information; when the target information includes the air interface status information, the air interface status information includes at least one of the following: channel state information CSI, air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrix and right singular matrix of the air interface channel estimation matrix; when the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: quality of service QoS of data service, rate requirement of data service, delay requirement of data service, jitter requirement of data service, and packet loss rate requirement of data service.

[0011] According to another embodiment of the present disclosure, a wireless communication method is provided, including: sending configuration information including a target block error rate (BLER) to a wireless device, so that the wireless device configures the target BLER according to the received configuration information.

[0012] In an exemplary embodiment, before sending configuration information including a target block error rate (BLER) to the wireless device, the method further includes: determining the target BLER based on target information, wherein the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

[0013] In an exemplary embodiment, when the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: enhanced mobile broadband eMBB scenario requirement information, low latency and high reliability communication URLLC scenario requirement information, and massive machine type communication MMTC scenario requirement information; when the target information includes the air interface status information, the air interface status information includes at least one of the following: channel state information CSI, air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrix and right singular matrix of the air interface channel estimation matrix; when the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: quality of service QoS of data service, rate requirement of data service, delay requirement of data service, jitter requirement of data service, and packet loss rate requirement of data service.

[0014] In an exemplary embodiment, determining the target BLER based on target information includes: modeling a first mapping relationship using a first neural network, wherein the first mapping relationship includes a mapping relationship between the target information and the target BLER; and inputting the target information into the first neural network to obtain the target BLER output by the first neural network, wherein the first neural network is a trained model configured to predict the target BLER based on the input information.

[0015] In an exemplary embodiment, when the target information includes the air interface status information, inputting the target information into the first neural network includes: inputting the target information into a second neural network to obtain encoded target information output by the second neural network, wherein the second neural network is a trained model configured to encode the input information; and inputting the encoded target information into the first neural network.

[0016] According to another embodiment of the present disclosure, a wireless communication apparatus is provided, including: a receiving module configured to receive configuration information including a target BLER sent by a wireless communication node; and a configuration module configured to configure the target BLER according to the configuration information.

[0017] According to another embodiment of the present disclosure, a wireless communication apparatus is provided, comprising: a sending module configured to send configuration information including a target block error rate (BLER) to a wireless device, so that the wireless device configures the target BLER according to the received configuration information.

[0018] According to another embodiment of the present disclosure, a medium access control (MAC) entity is provided, including the above-mentioned wireless communication device.

[0019] According to another embodiment of the present disclosure, a radio resource control (RRC) entity is provided, including the above-mentioned wireless communication device.

[0020] According to another embodiment of the present disclosure, a computer-readable storage medium is provided, in which a computer program is stored. The computer program is configured to execute the steps of any one of the above method embodiments when running.

[0021] According to another embodiment of the present disclosure, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any one of the above method embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] FIG1 is a hardware structure block diagram of a mobile terminal according to a wireless communication method according to an embodiment of the present disclosure;

[0023] FIG2 is a flowchart of a method for wireless communication according to an embodiment of the present disclosure;

[0024] FIG3 is a second flowchart of a method for wireless communication according to an embodiment of the present disclosure;

[0025] FIG4 is a structural block diagram 1 of a wireless communication device according to an embodiment of the present disclosure;

[0026] FIG5 is a second structural block diagram of a wireless communication device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0027] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings and in conjunction with embodiments.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0029] First, the related technologies involved in this disclosure are described:

[0030] In wireless communication technology, the capacity of wireless channels is constantly changing and uncertain. Therefore, the amount of information that can be correctly transmitted depends on the capacity of the wireless channel. The Block Error Rate (BLER) is the ratio of the number of data packets transmitted with errors to the total number of data packets transmitted within a certain time interval. The BLER largely reflects the match between the capacity of the wireless channel and the amount of information transmitted. To achieve a lower BLER, the amount of information can be loaded onto the spectrum resources, that is, the modulation order and code rate of the transmitted data can be reduced. This can achieve a very low BLER or even zero BLER. This approach ensures a low BLER by keeping the amount of information transmitted far below the channel capacity. However, this wastes the capacity of the wireless channel, meaning that more spectrum resources are required to transmit the same amount of data, which is a precious and limited resource. On the other hand, if the amount of information loaded onto the spectrum resources far exceeds the channel capacity, a large number of data packets will be transmitted with errors. Throughput and spectral efficiency are calculated based on the amount of correctly transmitted data or information. Therefore, if a large number of data packets are erroneous, throughput and spectral efficiency will not be very high.

[0031] Maximizing spectrum efficiency is a long-standing goal in wireless communications. In this context, the target BLER (BLER) is introduced to ensure optimal spectrum efficiency. When the BLER equals the target BLER, the spectrum efficiency of data transmission is considered optimal. For example, in eMBB scenarios, the target BLER is 0.1, meaning the ratio of transmitted error packets to the total number of transmitted packets is 1:10. At this BLER, spectrum efficiency is considered optimal and is one of the most important objectives in eMBB scenarios.

[0032] In addition, the target BLER can be used to guarantee not only spectrum efficiency but also transmission delay and jitter. For example, the target BLER in the URLLC scenario is 10 -5 , that is, the ratio of the number of data packets with transmission errors to the total number of packets transmitted is 1:10 5 Such a low target BLER ensures that almost all transmitted data packets can be demodulated correctly, ensuring reliability. It also greatly reduces the occurrence of retransmissions, reduces data transmission delay and jitter, and ensures determinism.

[0033] Target BLER plays an important role in wireless communication, ensuring communication quality and system performance.

[0034] However, in the related art, the target BLER is fixed. That is, as mentioned above, the target BLER in the eMBB scenario is fixed at 0.1, and the target BLER in the URLLC scenario is fixed at 10. -5 However, a fixed target BLER cannot optimally adapt to the changing air interface wireless channel and service quality requirements. In particular, the target BLER in the URLLC scenario is artificially set without sufficient verification, which will lead to resource waste due to the overly conservative target BLER. For example, if the actual BLER required for a specific service scenario is 0.01, if a target BLER of 0.1 is selected, reliability and certainty cannot be guaranteed; if a target BLER of 10 is selected, the target BLER of 0.1 cannot be guaranteed. -5 If the target BLER is not achieved, resources will be wasted, resulting in low spectrum efficiency.

[0035] In response to the above-mentioned problems existing in the related art, corresponding solutions are proposed in the embodiments of the present disclosure. In the embodiments of the present disclosure, the target BLER can be configured to maximize the spectrum efficiency SE (Spectral Efficiency).

[0036] The present disclosure is described below with reference to embodiments:

[0037] The method embodiments provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking operation on a mobile terminal as an example, FIG1 is a hardware structure block diagram of a mobile terminal according to the method of wireless communication of an embodiment of the present disclosure. As shown in FIG1 , the mobile terminal may include one or more (only one is shown in FIG1 ) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 configured to store data, wherein the mobile terminal may also include a transmission device 106 and an input / output device 108 configured to have a communication function. It will be understood by those skilled in the art that the structure shown in FIG1 is only for illustration and does not limit the structure of the mobile terminal. For example, the mobile terminal may also include more or fewer components than those shown in FIG1 , or have a configuration different from that shown in FIG1 .

[0038] The memory 104 can be configured to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the wireless communication method in the embodiment of the present disclosure. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above-mentioned method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories may be connected to the mobile terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0039] The transmission device 106 is configured to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the mobile terminal's telecommunications provider. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one embodiment, the transmission device 106 may be a radio frequency (RF) module configured to communicate with the Internet wirelessly.

[0040] FIG2 is a flowchart of a wireless communication method according to an embodiment of the present disclosure. As shown in FIG2 , the flow includes the following steps:

[0041] Step S202, receiving configuration information including a target block error rate (BLER) sent by a wireless communication node;

[0042] Step S204: configure the target BLER according to the configuration information.

[0043] In the above steps, the target block error rate (BLER) configuration information includes, but is not limited to, uplink target block error rate (BLER) configuration information, downlink target block error rate (BLER) configuration information, and sidelink target block error rate (BLER) configuration information. The method for receiving the configuration information sent by the wireless communication node includes, but is not limited to, receiving the target block error rate (BLER) configuration information sent by the wireless communication node via L3 (Layer 3) signaling, wherein the L3 signaling includes, but is not limited to, RRC (Radio Resource Control) messages. The RRC message includes RRCsetup (RRC establishment), RRCReconfiguration (RRC reconfiguration), ReconfigurationWithSync (RRC synchronous reconfiguration), and system information, wherein the system information includes but is not limited to: SIB1 (System Information Block 1), wherein the configuration information of the target block error rate BLER sent by the wireless communication node and received by the wireless device in IDLE state (Idle state) or INACTIVE state (Inactive state) is included in the system information, the configuration information of the target block error rate BLER sent by the wireless communication node and received by the wireless device in connected state is included in RRCsetup and / or RRCReconfiguration, the configuration information of the target block error rate BLER sent by the wireless communication node and received by the wireless device during the handover process is included in ReconfigurationWithSync, and the configuration information of the target block error rate BLER can be modified through high-layer signaling, and the high-layer signaling includes but is not limited to: RRCReconfiguration. The wireless device and the wireless communication node use the configuration information to configure the target BLER for data transmission until the target BLER is reconfigured. Before receiving the configuration information, the wireless device uses the most recently configured target BLER for data transmission.

[0044] Through the above steps, the wireless communication node transmits the configuration information of the target BLER, and then configures the target block error rate (BLER) based on the received configuration information. Since the configured target block error rate (BLER) meets the communication requirements, the purpose of flexible BLER configuration is achieved. Therefore, the problem of low spectrum efficiency caused by the fixed target BLER in the related art that cannot optimally adapt to the communication requirements is solved, thereby improving spectrum efficiency.

[0045] In an optional embodiment, the target BLER is determined by the wireless communication node according to target information, and the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

[0046] In the above steps, the target information may include one or more of communication scenario requirement information, air interface status information, and data service quality of service requirement information. Of course, it may also include other information, such as the type of wireless device. The target BLER includes, but is not limited to, an uplink target BLER, a downlink target BLER, and a sidelink target BLER. The uplink target BLER is used for uplink data transmission, the downlink target BLER is used for downlink data transmission, and the sidelink target BLER is used for sidelink data transmission.

[0047] In an optional embodiment, when the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: eMBB (Enhanced Mobile Broadband) scenario requirement information, URLLC (Ultra-Reliable Low-Latency Communications) scenario requirement information, and MMTC (Massive Machine Type of Communication) scenario requirement information; when the target information includes the air interface state information, the air interface state information includes at least one of the following: CSI (Channel State Information), air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrix, and right singular matrix of the air interface channel estimation matrix; when the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: quality of service QoS of data service, rate requirement of data service, delay requirement of data service, jitter requirement of data service, and packet loss rate requirement of data service.

[0048] In the above steps, each type of communication scenario requirement information is configured with a corresponding configurable range of the target BLER. The method for determining the configurable range of the target BLER includes but is not limited to: determining the configurable range of the corresponding target BLER according to the communication scenario requirement information. The configurable ranges of the target BLER corresponding to different communication scenario requirements may be the same or different. For example, the configurable range of the target BLER corresponding to the eMBB scenario requirement information is greater than or equal to 0 and less than 1, and the configurable range of the target BLER corresponding to the URLLC scenario requirement information is greater than or equal to 0 and less than or equal to 10. -5 The configurable range of the target BLER corresponding to the eMBB and URLLC scenario requirement information can be greater than or equal to 0 and less than or equal to 10 -5 The method for determining the target BLER includes but is not limited to: further determining the target BLER or the range of the target BLER within a configurable range of the target BLER based on at least one of the air interface status information and the data service quality requirement information. The method for determining the target BLER includes but is not limited to: the wireless communication node determines the uplink target BLER based on uplink communication scenario requirement information, uplink air interface status information, and uplink data service quality requirement information; the wireless communication node determines the downlink target BLER based on downlink communication scenario requirement information, downlink air interface status information, and downlink data service quality requirement information; the wireless communication node determines the sidelink target BLER based on the sidelink communication scenario requirement information, sidelink air interface status information, and sidelink data service quality requirement information.

[0049] In this embodiment, a wireless communication method operating on the above network architecture is provided. FIG3 is a second flowchart of the wireless communication method according to an embodiment of the present disclosure. As shown in FIG3 , the flow includes the following steps:

[0050] Step S302: Send configuration information including a target block error rate (BLER) to a wireless device, so that the wireless device configures the target BLER according to the received configuration information.

[0051] In the above steps, the entity that sends the target block error rate (BLER) configuration information to the wireless device is a wireless communication node, including but not limited to a base station, a radio access network, a wireless controller, and a network management system. The target block error rate (BLER) configuration information includes but is not limited to uplink target block error rate (BLER) configuration information, downlink target block error rate (BLER) configuration information, and sidelink target block error rate (BLER) configuration information. The method for sending the target block error rate (BLER) configuration information to the wireless device includes but is not limited to sending the target block error rate (BLER) configuration information to the wireless device via Layer 3 (L3) signaling, wherein the L3 signaling includes but is not limited to an RRC (Radio Resource Control) message. The RRC message includes RRCsetup (RRC establishment), RRCReconfiguration (RRC reconfiguration), ReconfigurationWithSync (RRC synchronous reconfiguration), and system information, wherein the system information includes but is not limited to: SIB1 (System Information Block 1), wherein the configuration information of the target block error rate BLER received by the wireless device in IDLE state (Idle state) or INACTIVE state (Inactive state) is included in the system information, the configuration information of the target block error rate BLER received by the wireless device in the connected state is included in RRCsetup and / or RRCReconfiguration, the configuration information of the target block error rate BLER received by the wireless device during the handover process is included in ReconfigurationWithSync, and the configuration information of the target block error rate BLER can be modified through high-layer signaling, and the high-layer signaling includes but is not limited to: RRCReconfiguration.

[0052] Through the above steps, the configuration information of the target block error rate (BLER) is sent to the wireless device, so that the wireless device can configure the target block error rate (BLER) according to the received configuration information, thereby achieving the purpose of flexible configuration of the target BLER. Therefore, the problem of low spectrum efficiency caused by the fixed target BLER that cannot optimally adapt to communication requirements in the existing related art can be solved, thereby achieving the effect of improving spectrum efficiency.

[0053] In an optional embodiment, before sending configuration information including a target block error rate (BLER) to the wireless device, the method further includes: determining the target BLER based on the target information, wherein the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

[0054] In the above steps, the target information may include one or more of communication scenario requirement information, air interface status information, and data service quality of service requirement information. Of course, it may also include other information, such as the type of wireless device, etc. The target BLER includes, but is not limited to, an uplink target BLER, a downlink target BLER, and a sidelink target BLER. The uplink target BLER is used for uplink data transmission, the downlink target BLER is used for downlink data transmission, and the sidelink target BLER is used for sidelink data transmission.

[0055] Through the above steps, a suitable target BLER is determined for the wireless device based on one or more of the communication scenario requirement information, air interface status information, and data service quality requirement information included in the target information, thereby achieving the purpose of dynamically adjusting the target BLER, thereby improving the reliability and stability of data transmission, optimizing the performance of the wireless communication system, and achieving better utilization of network resources.

[0056] In an optional embodiment, when the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: eMBB (Enhanced Mobile Broadband) scenario requirement information, URLLC (Ultra-Reliable Low-Latency Communications) scenario requirement information, and MMTC (Massive Machine Type of Communication) scenario requirement information; when the target information includes the air interface status information, the air interface status information includes at least one of the following: CSI, air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrices, and right singular matrices of the air interface channel estimation matrix; when the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: quality of service (QoS) of data services, rate requirements of data services, delay requirements of data services, jitter requirements of data services, and packet loss rate requirements of data services.

[0057] In the above steps, each type of communication scenario requirement information is configured with a corresponding configurable range of the target BLER. The method for determining the configurable range of the target BLER includes but is not limited to: determining the configurable range of the corresponding target BLER according to the communication scenario requirement information. The configurable ranges of the target BLER corresponding to different communication scenario requirement information may be the same or different. For example, the configurable range of the target BLER corresponding to the eMBB scenario requirement information is greater than or equal to 0 and less than 1, and the configurable range of the target BLER corresponding to the URLLC scenario requirement information is greater than or equal to 0 and less than or equal to 10. -5 The configurable range of the target BLER corresponding to the eMBB and URLLC scenario requirement information can be greater than or equal to 0 and less than or equal to 10 -5 The method for determining the target BLER includes but is not limited to: further determining the target BLER or the range of the target BLER within a configurable range of the target BLER based on at least one of the air interface status information and the data service quality requirement information. The method for determining the target BLER includes but is not limited to: the wireless communication node determines the uplink target BLER based on uplink communication scenario requirement information, uplink air interface status information, and uplink data service quality requirement information; the wireless communication node determines the downlink target BLER based on downlink communication scenario requirement information, downlink air interface status information, and downlink data service quality requirement information; the wireless communication node determines the sidelink target BLER based on the sidelink communication scenario requirement information, sidelink air interface status information, and sidelink data service quality requirement information.

[0058] In an optional embodiment, determining the target BLER based on the target information includes: modeling a first mapping relationship using a first neural network, wherein the first mapping relationship includes a mapping relationship between the target information and the target BLER; and inputting the target information into the first neural network to obtain the target BLER output by the first neural network, wherein the first neural network is a trained model configured to predict the target BLER based on the input information.

[0059] In the above steps, the method for determining the target BLER based on the target information includes but is not limited to: the wireless communication node determines the uplink target BLER based on one or more of the communication scenario requirement information, air interface status information, and data service quality of service requirement information through a first mapping relationship modeled by a first neural network; the wireless communication node determines the downlink target BLER based on the mapping relationship between one or more of the communication scenario requirement information, air interface status information, and data service quality of service requirement information and the target BLER modeled by the first neural network; and the wireless communication node determines the uplink target BLER, downlink target BLER, or sidelink target BLER based on the mapping relationship between one or more of the communication scenario requirement information, air interface status information, and data service quality of service requirement information and the target BLER modeled by the first neural network. The first neural network includes but is not limited to a feedforward neural network, a convolutional neural network, and a recurrent neural network. The first neural network may be composed of an input layer, an output layer, and a plurality of hidden layers (N greater than or equal to 1); wherein the input layer, the output layer, and each hidden layer are each composed of one or more neuron nodes.

[0060] Through the above steps, a neural network model is used to model the mapping relationship between target information and target BLER. Using this model to predict the target BLER provides an accurate and efficient method for estimating the target BLER, thereby helping to optimize system design and improve performance. The trained neural network model can quickly and accurately generate target BLER predictions based on target information input. This saves time and resources and improves decision-making accuracy.

[0061] In an optional embodiment, when the target information includes the air interface status information, inputting the target information into the first neural network includes: inputting the target information into a second neural network to obtain encoded target information output by the second neural network, wherein the second neural network is a trained model configured to encode the input information; and inputting the encoded target information into the first neural network.

[0062] In the above steps, the second neural network embeds one or more of the communication scenario requirement information, air interface status information, and data service quality of service requirement information included in the target information into a D (D greater than or equal to 1)-dimensional vector. This vector is input into the input layer of the first neural network, passes through N (N greater than or equal to 1) hidden layers, and reaches the output layer. The output layer can output the probability corresponding to each target BLER value. The wireless communication node can select the target BLER value with the highest probability as the target BLER value configured for the wireless device.

[0063] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present disclosure.

[0064] This embodiment also provides a wireless communication device that is configured to implement the above-mentioned embodiments and preferred embodiments. Details already described will not be repeated. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0065] FIG4 is a structural block diagram 1 of a wireless communication device according to an embodiment of the present disclosure. As shown in FIG4 , the device includes: a receiving module 42 configured to receive configuration information including a target BLER sent by a wireless communication node; and a configuration module 44 configured to configure the target BLER according to the configuration information.

[0066] In an optional embodiment, the target BLER is determined by the wireless communication node according to target information, and the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

[0067] In an optional embodiment, when the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: eMBB scenario requirement information, URLLC scenario requirement information, MMTC scenario requirement information; when the target information includes the air interface status information, the air interface status information includes at least one of the following: CSI, air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrix and right singular matrix of the air interface channel estimation matrix; when the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: QoS of data service, rate requirement of data service, delay requirement of data service, jitter requirement of data service, packet loss rate requirement of data service.

[0068] FIG5 is a second structural block diagram of a wireless communication apparatus according to an embodiment of the present disclosure. As shown in FIG5 , the apparatus includes: a sending module 52 configured to send configuration information including a target block error rate (BLER) to a wireless device, so that the wireless device configures the target BLER according to the received configuration information.

[0069] In an optional embodiment, the apparatus further includes: a determination module configured to determine the target block error rate (BLER) based on target information before sending configuration information including the target block error rate (BLER) to the wireless device, wherein the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

[0070] In an optional embodiment, when the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: eMBB scenario requirement information, URLLC scenario requirement information, MMTC scenario requirement information; when the target information includes the air interface status information, the air interface status information includes at least one of the following: CSI, air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrix and right singular matrix of the air interface channel estimation matrix; when the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: QoS of data service, rate requirement of data service, delay requirement of data service, jitter requirement of data service, packet loss rate requirement of data service.

[0071] In an optional embodiment, the determination module includes: a modeling unit, configured to model a first mapping relationship using a first neural network, wherein the first mapping relationship includes a mapping relationship between the target information and the target BLER; an input unit, configured to input the target information into the first neural network to obtain the target BLER output by the first neural network, wherein the first neural network is a trained model configured to predict the target BLER based on the input information.

[0072] In an optional embodiment, when the target information includes the air interface status information, the input unit includes: a first input subunit, configured to input the target information into a second neural network to obtain the encoded target information output by the second neural network, wherein the second neural network is a trained model configured to encode the input information; and a second input subunit, configured to input the encoded target information into the first neural network.

[0073] It should be noted that the above modules can be implemented through software or hardware. For the latter, it can be implemented in the following ways, but not limited to: the above modules are all located in the same processor; or the above modules are located in different processors in any combination.

[0074] The embodiments of the present disclosure further provide a MAC entity (Medium Access Control), including the wireless communication apparatus shown in FIG. 4 and FIG. 5 .

[0075] The embodiments of the present disclosure further provide an RRC entity (Radio Resource Control), including the wireless communication apparatus shown in FIG. 4 and FIG. 5 .

[0076] An embodiment of the present disclosure further provides a computer-readable storage medium, in which a computer program is stored. The computer program is configured to execute the steps of any one of the above method embodiments when run.

[0077] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk, or an optical disk.

[0078] An embodiment of the present disclosure further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0079] In an exemplary embodiment, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0080] For specific examples in this embodiment, reference may be made to the examples described in the above embodiments and exemplary implementation modes, and this embodiment will not be described in detail here.

[0081] Obviously, those skilled in the art should understand that the modules or steps of the present disclosure described above can be implemented using a general-purpose computing device, they can be concentrated on a single computing device, or distributed across a network composed of multiple computing devices, they can be implemented using program code executable by the computing device, and thus, they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be performed in a different order than herein, or they can be fabricated into separate integrated circuit modules, or multiple modules or steps can be fabricated into a single integrated circuit module for implementation. Thus, the present disclosure is not limited to any particular combination of hardware and software.

[0082] The foregoing description is merely a preferred embodiment of the present disclosure and is not intended to limit the present disclosure. Those skilled in the art will readily appreciate that various modifications and variations of the present disclosure are possible. Any modifications, equivalent substitutions, or improvements made within the principles of the present disclosure shall be included within the scope of protection of the present disclosure.

Claims

1. A method of wireless communication, comprising: receiving configuration information including a target block error rate BLER sent by a wireless communication node; The target BLER is configured according to the configuration information.

2. The method according to claim 1, wherein: The target BLER is determined by the wireless communication node according to target information, and the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

3. The method according to claim 2, wherein: In the case where the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: enhanced mobile broadband eMBB scenario requirement information, low latency highly reliable communication URLLC scenario requirement information, and massive machine type communication MMTC scenario requirement information; In the case where the target information includes the air interface state information, the air interface state information includes at least one of the following: channel state information CSI, an air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrices, and right singular matrices of the air interface channel estimation matrix; In the case where the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: quality of service QoS of the data service, rate requirement of the data service, delay requirement of the data service, jitter requirement of the data service, and packet loss rate requirement of the data service.

4. A method of wireless communication, comprising: Configuration information including a target block error rate (BLER) is sent to a wireless device, so that the wireless device configures the target BLER according to the received configuration information.

5. The method according to claim 4, wherein: Before sending configuration information including a target block error rate BLER to the wireless device, the method further includes: The target BLER is determined according to target information, wherein the target information includes at least one of the following: communication scenario requirement information, air interface status information, and data service quality requirement information.

6. The method according to claim 5, wherein: In the case where the target information includes the communication scenario requirement information, the communication scenario requirement information includes at least one of the following: enhanced mobile broadband eMBB scenario requirement information, low latency highly reliable communication URLLC scenario requirement information, and massive machine type communication MMTC scenario requirement information; In the case where the target information includes the air interface state information, the air interface state information includes at least one of the following: channel state information CSI, an air interface channel estimation matrix, eigenvalues ​​and eigenvectors of the air interface channel estimation matrix, singular values, left singular matrices, and right singular matrices of the air interface channel estimation matrix; In the case where the target information includes the data service quality requirement information, the data service quality requirement information includes at least one of the following: quality of service QoS of the data service, rate requirement of the data service, Delay requirements, jitter requirements for data services, and packet loss rate requirements for data services.

7. The method according to claim 5, wherein: Determining the target BLER according to the target information includes: Modeling a first mapping relationship using a first neural network, wherein the first mapping relationship includes a mapping relationship between the target information and the target BLER; The target information is input into the first neural network to obtain the target BLER output by the first neural network, wherein the first neural network is a trained model configured to predict the target BLER based on the input information.

8. The method according to claim 7, wherein: In a case where the target information includes the air interface state information, inputting the target information into the first neural network includes: Inputting the target information into a second neural network to obtain the encoded target information output by the second neural network, wherein the second neural network is a trained model configured to encode the input information; The encoded target information is input into the first neural network.

9. A wireless communication device, comprising: A receiving module, configured to receive configuration information including a target BLER sent by a wireless communication node; A configuration module is configured to configure the target BLER according to the configuration information.

10. A wireless communication device, comprising: The sending module is configured to send configuration information including a target block error rate (BLER) to a wireless device, so that the wireless device configures the target BLER according to the received configuration information.

11. A medium access control (MAC) entity, comprising: The device of claim 9 or the device of claim 10.

12. A radio resource control (RRC) entity, comprising: The device of claim 9 or the device of claim 10.

13. A computer-readable storage medium having a computer program stored therein, wherein: When the computer program is executed by a processor, the steps of the method described in any one of claims 1 to 3 are implemented, or the steps of the method described in any one of claims 4 to 8 are implemented.

14. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of claims 1 to 3 or the steps of the method described in any one of claims 4 to 8 when executing the computer program.

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