AOI threshold determination method, device, storage medium and program product

Abstract

The AOI threshold determination method, device, storage medium and program product provided by the present application obtain the activation probability of the terminal device, the detection success rate of the terminal device, the first number of terminal devices currently served in the network coverage area where the terminal device is located, and the second number of terminal devices supported in the network coverage area at the same time, and determine the target AOI threshold suitable for the terminal device to be used in the network coverage area according to these parameters. The terminal device can send information to the network device based on the target AOI threshold, so that the network device has a better processing efficiency for the information, thereby improving the performance of the communication system.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a method, device, storage medium and program product for determining an AOI threshold. Background Art

[0002] Age of information (AOI) is a metric to measure the freshness of information, specifically the time interval between the time when the sender generates the information and the time when the receiver uses the information. AOI is proposed to better characterize and evaluate the freshness of information, which is particularly important for real-time update application scenarios, such as smart driving and industrial control in the Internet of Things.

[0003] In a license-free system, after a terminal device generates information to be transmitted, when the AOI of the information reaches a set threshold, the terminal device can send the information to a network device so that the network device can reliably receive and apply the information. The design of the threshold is of great significance for improving the performance of the communication system.

[0004] Therefore, how to determine the AOI threshold to improve the performance of the communication system is an urgent problem to be solved. Summary of the invention

[0005] The present application provides a method, device, storage medium and program product for determining an AOI threshold, which are used to determine the AOI threshold to improve the performance of a communication system.

[0006] In a first aspect, the present application provides a method for determining an AOI threshold, comprising:

[0007] Obtaining an activation probability of the terminal device and a detection success rate of the terminal device;

[0008] Obtaining a first number of terminal devices currently served within a network coverage area where the terminal device is located and a second number of terminal devices supported at the same time within the network coverage area, wherein the first number is less than or equal to the second number;

[0009] Determine a target information age AOI threshold according to the activation probability, the detection success rate, the second number, and the first number.

[0010] In a possible implementation manner, determining a target AOI threshold according to the activation probability, the detection success rate, the second number, and the first number includes:

[0011] Determining a first parameter according to the activation probability and the transmission success rate of the terminal device;

[0012] determining a second parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, the second number, and the first parameter;

[0013] The target AOI threshold is determined according to the first parameter and the second parameter.

[0014] In a possible implementation manner, determining the second parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, the second number, and the first parameter includes:

[0015] determining a third parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, and the second number;

[0016] The second parameter is determined according to a third parameter and the first parameter.

[0017] In a possible implementation manner, the activation probability, the detection success rate, the transmission success rate, the first quantity, and the second quantity determine a third parameter, including:

[0018] determining a fourth parameter according to the transmission success rate, the detection success rate, the first number, and the second number;

[0019] The third parameter is determined according to the activation probability and the fourth parameter.

[0020] In a possible implementation manner, determining a fourth parameter according to the transmission success rate, the detection success rate, the first number, and the second number includes:

[0021] Determine a ratio of the transmission success rate to the detection success rate as a fifth parameter;

[0022] Determine a sixth parameter by taking the difference between the first number, the second number and a first preset value;

[0023] A first power value is generated with the fifth parameter as a base and the sixth parameter as a power, and a difference between the second preset value and the first power value is determined as the fourth parameter.

[0024] In a possible implementation manner, the second number is determined according to the number of rows and columns of a perception matrix under a compressed sensing theory framework.

[0025] In a possible implementation manner, determining the target AOI threshold according to the first parameter and the second parameter includes:

[0026] Establish a threshold relationship corresponding to the AOI threshold according to the first parameter and the second parameter;

[0027] Solving the threshold relationship equation according to the dichotomy method to obtain a first threshold value;

[0028] The first threshold value is determined as the target AOI threshold.

[0029] In a possible implementation, the method further includes:

[0030] Get the target information to be sent;

[0031] When the information age of the target information reaches the target AOI threshold, the target information is sent.

[0032] In a second aspect, the present application provides a device for determining an AOI threshold, comprising:

[0033] A first acquisition module, used to acquire the activation probability of the terminal device and the detection success rate of the terminal device;

[0034] A second acquisition module, used to acquire a first number of terminal devices currently served in a network coverage area where the terminal device is located and a second number of terminal devices supported in the network coverage area at the same time, wherein the first number is less than or equal to the second number;

[0035] A determination module is used to determine the target information age AOI threshold according to the activation probability, the detection success rate, the second number and the first number.

[0036] In a possible implementation, a module is determined, specifically for:

[0037] Determining a first parameter according to the activation probability and the transmission success rate of the terminal device;

[0038] determining a second parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, the second number, and the first parameter;

[0039] The target AOI threshold is determined according to the first parameter and the second parameter.

[0040] In a possible implementation, a module is determined, specifically for:

[0041] determining a third parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, and the second number;

[0042] The second parameter is determined according to a third parameter and the first parameter.

[0043] In a possible implementation, a module is determined, specifically for:

[0044] determining a fourth parameter according to the transmission success rate, the detection success rate, the first number, and the second number;

[0045] The third parameter is determined according to the activation probability and the fourth parameter.

[0046] In a possible implementation, a module is determined, specifically for:

[0047] Determine a ratio of the transmission success rate to the detection success rate as a fifth parameter;

[0048] Determine a sixth parameter by taking the difference between the first number, the second number and a first preset value;

[0049] A first power value is generated with the fifth parameter as a base and the sixth parameter as a power, and a difference between the second preset value and the first power value is determined as the fourth parameter.

[0050] In a possible implementation manner, the second number is determined according to the number of rows and columns of a perception matrix under a compressed sensing theory framework.

[0051] In a possible implementation, a module is determined, specifically for:

[0052] Establish a threshold relationship corresponding to the AOI threshold according to the first parameter and the second parameter;

[0053] Solving the threshold relationship equation according to the dichotomy method to obtain a first threshold value;

[0054] The first threshold value is determined as the target AOI threshold.

[0055] In a possible implementation manner, the device further includes a communication module, where the communication module is configured to:

[0056] Get the target information to be sent;

[0057] When the information age of the target information reaches the target AOI threshold, the target information is sent.

[0058] In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor;

[0059] The memory stores computer-executable instructions;

[0060] The processor executes the computer-executable instructions stored in the memory to implement the method according to the first aspect.

[0061] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a computer, they are used to implement the method described in the first aspect.

[0062] In a fifth aspect, the present application provides a computer program product, including a computer program, which is used to implement the method described in the first aspect when executed by a computer.

[0063] In a sixth aspect, an embodiment of the present application provides a chip having a computer program stored thereon, wherein when the computer program is executed by the chip, the method described in the first aspect is executed.

[0064] In a possible implementation, the chip is a chip in a chip module.

[0065] In a seventh aspect, an embodiment of the present application provides a module device, wherein the module device includes a power module, a storage module, and a chip module;

[0066] Wherein, the power supply module is used to provide electrical energy to the module device;

[0067] The storage module is used to store data and instructions;

[0068] The chip module is used to execute the method described in the first aspect.

[0069] The AOI threshold determination method, device, storage medium and program product provided by the present application obtain the activation probability of the terminal device, the detection success rate of the terminal device, the first number of terminal devices currently served in the network coverage area where the terminal device is located, and the second number of terminal devices supported in the network coverage area at the same time, and determine the target AOI threshold suitable for the terminal device to be used in the network coverage area according to these parameters. The terminal device can send information to the network device based on the target AOI threshold, so that the network device has a better processing efficiency for the information, thereby improving the performance of the communication system. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0071] Figure 1 A schematic diagram of an exemplary terminal device sending information based on an AOI threshold;

[0072] Figure 2 A schematic diagram of an application scenario applicable to the present application;

[0073] Figure 3A flowchart of a method for determining an AOI threshold provided in this application;

[0074] Figure 4 A flowchart of another method for determining an AOI threshold provided in this application;

[0075] Figure 5 A signaling flow chart of the interaction between a terminal device and a network device provided in an embodiment of the present application;

[0076] Figure 6 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0077] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0078] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0079] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0080] The technical solutions of the embodiments of the present application can be applied to a variety of communication systems, such as: Long Term Evolution (LTE) system, LTE Frequency Division Duplex (FDD) system, LTE Time Division Duplex (TDD), Universal Mobile Telecommunication System (UMTS), Worldwide Interoperability for Microwave Access (WiMAX) communication system, fifth-generation mobile communication system or possible sixth-generation and seventh-generation mobile communication systems, vehicle-mounted wireless short-range communication systems, and future mobile communication systems.

[0081] The technical solution provided in this application can also be applied to machine type communication (MTC), long term evolution technology for machine-to-machine communication (LTE-M), device-to-device (D2D) network, machine-to-machine (M2M) network, Internet of Things (IoT) network or other networks. Among them, IoT network can include vehicle networking, for example. Among them, the communication mode in the vehicle networking system is collectively referred to as vehicle to other devices (Vehicle to X, V2X, X can represent anything), for example, the V2X can include: vehicle to vehicle (V2V) communication, vehicle to infrastructure (V2I) communication, vehicle to pedestrian communication (V2P) or vehicle to network (V2N) communication, etc.

[0082] An unlicensed system refers to a system that communicates through a communication mechanism in which a network device (such as a base station) receives data sent by each terminal device and directly performs channel estimation and data demodulation without the need for pre-scheduling of resources. Unlicensed can also be called uplink unlicensed. If the sending device does not receive activation, it will always use the resources specified by the first uplink authorization for uplink transmission. In other words, the network device grants the uplink resource authorization to the terminal device once, and if the terminal device does not receive activation, it will consistently use the resources specified by the first uplink authorization for uplink transmission.

[0083] Due to the lack of authorization information between network devices and terminal devices, it is easy to cause problems such as difficulty in identifying terminal devices and strong interference between terminal devices, which affects the stability and communication efficiency of the communication system.

[0084] Further, in order to solve the above problem, in the authorization-free system, the terminal device can send information to the network device according to the set AOI threshold. Figure 1 The schematic diagram of the terminal device sending information based on the AOI threshold is shown as follows: Figure 1 As shown, after the terminal device generates information to be transmitted, when the AOI of the information reaches the set threshold, the terminal device can send the information to the network device so that the network device can reliably receive and process the information. The processing here can be understood as the network device successfully using or applying the information.

[0085] It should be noted that, for ease of understanding, Figure 1 In the example, there is no delay when the terminal device sends information to the network device.

[0086] Taking information 1 as an example, time 1 is the time when information 1 is generated, time 2 is the time when the AOI of information 1 reaches the AOI threshold, and time 3 is the time when the network device processes the information 1. It can be understood that time 2 can be the time when the terminal device sends information 1 and the time when the network device receives the information 1.

[0087] For information 2, time 4 is the time when information 2 is generated, time 5 is the time when the AOI of information 2 reaches the AOI threshold, time 5 is the time when the terminal device sends information 2, and the network device receives information 2, then the time period from time 5 to time 6 is the waiting time period, during which the network device has not processed the information 2, and time 7 is the time when the network device processes the information 2. During the waiting time period, the network device is congested due to a large number of terminal devices or insufficient capacity.

[0088] It can be seen that a suitable AOI threshold is of great significance for network devices to effectively provide network services with various network devices.

[0089] Therefore, the present application provides a method for generating an AOI threshold, which determines an AOI threshold suitable for use when the terminal device is in the network coverage area according to the activation probability of the terminal device, the detection success of the terminal device, the number of terminal devices activated in the network coverage area where the terminal device is located, and the number of terminal devices supported in the network coverage area at the same time. The terminal device can send information to the network device based on the AOI threshold, so that the network device has a better processing efficiency for the information, thereby improving the performance of the communication system.

[0090] In the embodiment of the present application, the activation probability may refer to the probability of a terminal device generating information at a certain moment. Taking the terminal device as an IoT device as an example, the information may include sensor data, etc.

[0091] The detection success rate may refer to the probability that information sent by a terminal device is successfully received and processed by a network device.

[0092] For ease of understanding, the following Figure 1 The examples are used to illustrate the application scenarios to which the embodiments of the present application are applicable.

[0093] Figure 2 For a schematic diagram of an application scenario applicable to this application, please see Figure 2, including: a network device 201 and a plurality of terminal devices, such as a first terminal device 202, a second terminal device 203, a third terminal device 204, a third terminal device 205, a third terminal device 206, ..., Figure 2 The number of terminal devices in the example is only an example, and this application does not limit the number of network devices. Figure 2 In the example, one network device is used.

[0094] like Figure 2 As shown, multiple terminal devices are located within the network coverage of the network device 201. Exemplarily, the network coverage can be called a cell, which can belong to a macro base station (for example, macro eNB or macro gNB, etc.), or a base station corresponding to a small cell (Small Cell). The small cells here may include: Metro Cell, Micro Cell, Pico Cell, Femto Cell, etc. These small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data transmission services.

[0095] The network device 201 can provide network services for multiple terminal devices. When the multiple terminal devices generate corresponding information, when the AOI of the information reaches the set AOI threshold, the information can be sent to the network device 201, so that the network device 201 can provide corresponding network services for each terminal device.

[0096] In the embodiment of the present application, the network device may be any device with wireless transceiver function. The device includes but is not limited to: Evolved Node B (eNB), Radio Network Controller (RNC), Node B (NB), Base Station Controller (BSC), Base Transceiver Station (BTS), Home Base Station (e.g., Home Evolved NodeB, or HomeNode B, HNB), Baseband Unit (BBU), Access Point (AP) in Wireless Fidelity (WiFi) system, Wireless Relay Node, Wireless Backhaul Node, Transmission Point (TP) or Transmission and Reception Point (TRP), etc. It can also be the next generation base station (gNB) or transmission point (TRP or TP) in 5G, such as NR, system, one or a group of (including multiple antenna panels) antenna panels of a base station in a 5G system, or it can also be a network node constituting a gNB or a transmission point, such as a baseband unit (BBU) or a distributed unit (DU), etc.

[0097] In some deployments, the gNB may include a Centralized Unit (CU) and a DU. The gNB may also include an Active Antenna Unit (AAU). The CU implements some functions of the gNB, and the DU implements some functions of the gNB. For example, the CU is responsible for processing non-real-time protocols and services, and implements the functions of the Radio Resource Control (RRC) and Packet Data Convergence Protocol (PDCP) layers. The DU is responsible for processing physical layer protocols and real-time services, and implements the functions of the Radio Link Control (RLC) layer, the Medium Access Control (MAC) layer, and the Physical (PHY) layer. The AAU implements some physical layer processing functions, RF processing, and related functions of active antennas. Since the information of the RRC layer will eventually become the information of the PHY layer, or be converted from the information of the PHY layer, in this architecture, high-level signaling, such as RRC layer signaling, can also be considered to be sent by the DU, or by the DU+AAU. It is understandable that the network device may be a device including one or more of a CU node, a DU node, and an AAU node. In addition, the CU may be considered as a network device in the access network (Radio Access Network, RAN) or a network device in the core network (Core Network, CN), and this application does not limit this.

[0098] In the embodiment of the present application, the terminal device may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device.

[0099] The terminal device can be a device that provides voice / data connectivity to users, for example, a handheld device with wireless connection function, a vehicle-mounted device, etc. At present, some examples of terminals can be: mobile phones, tablet computers, computers with wireless transceiver functions (such as laptops, PDAs, etc.), mobile Internet devices (Mobile Internet Device, MID), virtual reality (Virtual Reality, VR) devices, augmented reality (Augmented Reality, AR) devices, extended reality (Extended Reality, XR) devices, wireless terminals in industrial control, wireless terminals in self-driving, wireless terminals in remote medical care, wireless terminals in smart grids, wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, cellular phones, cordless phones, Session Initiation Protocol (SIP) phones, Wireless Local Loop (WLL) stations, personal digital assistants (PDAs), wireless terminals in smart cities, and wireless terminals in smart homes. Digital Assistant, PDA), handheld devices with wireless communication capabilities, computing devices or other processing devices connected to a wireless modem, vehicle-mounted devices, wearable devices, terminal devices in 5G networks, or terminal devices in future evolved public land mobile communication networks (Public Land Mobile Network, PLMN), etc.

[0100] Among them, wearable devices can also be called wearable smart devices, which are a general term for the intelligent design and development of wearable devices for daily wear using wearable technology, such as glasses, gloves, watches, clothing and shoes. Wearable devices are portable devices that are worn directly on the body or integrated into the user's clothes or accessories. Wearable devices are not only hardware devices, but also realize powerful functions through software support, data interaction, and cloud interaction. Broadly speaking, wearable smart devices include full-featured, large-sized, and independent of smartphones to achieve complete or partial functions, such as smart watches or smart glasses, as well as those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.

[0101] In addition, the terminal device can also be a terminal device in the Internet of Things (IoT) system. IoT is an important part of the future development of information technology. Its main technical feature is to connect objects to the network through communication technology, thereby realizing an intelligent network of human-machine interconnection and object-to-object interconnection. IoT technology can achieve massive connections, deep coverage, and power saving through narrowband (NB) technology, for example.

[0102] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments may exist independently or in combination with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0103] Figure 3 A flow chart of a method for determining an AOI threshold provided in an embodiment of the present application is provided. The method can be executed by a terminal device or by a device for generating an AOI threshold set in the terminal device. The device can be a chip, a chip module, or an integrated development environment (IDE), etc. Figure 3 , the method comprises the following steps:

[0104] S301. Obtain an activation probability of a terminal device and a detection success rate of the terminal device.

[0105] In a possible implementation manner, the terminal device may receive the activation probability and the detection success rate sent by the network device.

[0106] S302: Obtain a first number of terminal devices currently being served within a network coverage area where the terminal device is located and a second number of terminal devices supported within the network coverage area at the same time.

[0107] In a possible implementation manner, the terminal device may receive the first quantity and the second quantity sent by the network device.

[0108] Exemplarily, the terminal device may receive the activation probability, the detection success rate, the first quantity, and the second quantity sent by the network device in the following situations:

[0109] Case 1

[0110] The network device may send the activation probability, the detection success rate, the first number, and the second number to the terminal device when the terminal device connects to the network device for the first time.

[0111] Case 2

[0112] When a parameter changes, such as the parameter including at least one of the activation probability of the terminal device, the number of terminal devices currently served within the network coverage area where the terminal device is located, and the maximum number of terminal devices supported at the same time within the network coverage area, the network device can send the activation probability, the detection success rate, the first quantity, and the second quantity to the terminal device when the terminal device first connects to the network device.

[0113] S303: Determine a target AOI threshold according to the activation probability, the detection success rate, the second number, and the first number.

[0114] After obtaining the activation probability, the detection success rate, the first number and the second number, the terminal device can determine the target AOI threshold according to the activation probability, the detection success rate, the first number and the second number.

[0115] In a possible implementation, the terminal device can be based on the number of terminal devices currently served in the network coverage area N, the maximum number of terminal devices supported at the same time in the network coverage area Kmax, the activation probability P, the detection success rate d, the transmission success rate and the AOI threshold △ th The relationship model between them is used to generate the corresponding AOI threshold.

[0116] For example, the terminal device can use the number N, the maximum number Kmax, the activation probability P, and the detection success rate d as inputs of the relationship model, the transmission success rate, and the AOI threshold △ th The output value of the relational model.

[0117] The transmission success rate is the success rate of the network device decoding the information sent by the terminal device.

[0118] In a possible implementation, since the first number is less than or equal to the second number, the above relationship model may be established based on a discrete Markov chain.

[0119] In this embodiment, by obtaining the activation probability of the terminal device, the detection success rate of the terminal device, the first number of terminal devices currently served in the network coverage area where the terminal device is located, and the second number of terminal devices supported in the network coverage area at the same time, a target AOI threshold suitable for the terminal device to be used in the network coverage area is determined according to these parameters. The terminal device can send information to the network device based on the target AOI threshold, so that the network device has a better processing efficiency for the information, thereby improving the performance of the communication system.

[0120] Next, how the terminal device determines the target AOI threshold according to the activation probability, the detection success rate, the second number and the first number is described.

[0121] Figure 4 A flowchart of another method for determining an AOI threshold provided in an embodiment of the present application, which method can be executed by a terminal device, is shown in FIG. Figure 4 , the method comprises the following steps:

[0122] S401. Determine a first parameter according to an activation probability and a transmission success rate.

[0123] In a possible implementation, the terminal device may determine the product of the activation probability and the transmission success rate as the first parameter. Exemplarily, since the activation probability is known and the transmission success rate is unknown, the first parameter is the product of an unknown number and a known number, for example, if the transmission success rate is represented by q and the activation probability is 0.2, then the first parameter is 0.2q.

[0124] S402: Determine a second parameter according to the activation probability, the detection success rate, the transmission success rate, the first quantity, the second quantity, and the first parameter.

[0125] In a possible implementation, the terminal device may determine the third parameter based on the activation probability, the detection success rate, the transmission success rate, the first quantity, and the second quantity, and determine the second parameter based on the third parameter and the first parameter.

[0126] In a possible implementation manner, the terminal device may determine the third parameter in, for example:

[0127] The fourth parameter may be determined according to the transmission success rate, the detection success rate, the first quantity, and the second quantity. Then, the third parameter may be determined according to the activation probability and the fourth parameter.

[0128] Exemplarily, the terminal device may determine the ratio of the activation probability to the fourth parameter as the third parameter.

[0129] Exemplarily, the terminal device may determine the ratio of the transmission success rate to the detection success rate as the fifth parameter, and determine the sixth parameter as the difference between the first number, the second number, and the first preset value. The first power value is generated with the fifth parameter as the base and the sixth parameter as the power, and the difference between the second preset value and the first power value is determined as the fourth parameter.

[0130] Exemplarily, the first preset value may be 1, and the second preset value may be 1.

[0131] S403: Determine a target AOI threshold according to the first parameter and the second parameter.

[0132] The terminal device may determine the target AOI threshold according to the first parameter and the second parameter.

[0133] In a possible implementation, the terminal device may establish a threshold relationship corresponding to the AOI threshold according to the first parameter and the second parameter, and solve the threshold relationship according to the dichotomy method to obtain a first threshold value, and then determine the first threshold value as the target AOI threshold. Exemplarily, the threshold relationship may be a relationship established with the second parameter as the numerator and the first parameter as the denominator.

[0134] Exemplarily, the threshold relationship established by the first parameter and the second parameter can be the activation probability, the detection success rate, the first number and the second number, which are known values, as input values ​​into the above relationship model (i.e., the number of terminal devices currently served in the network coverage area where the terminal device is located, N, the maximum number of terminal devices supported at the same time in the network coverage area, Kmax, the activation probability P, the detection success rate d, the transmission success rate, and the AOI threshold △ th The relationship model between

[0135] In a possible implementation, based on the result of solving the relationship model, the detection success rate of the terminal device can be obtained. Exemplarily, the terminal device can use the detection success rate and the target AOI threshold as inputs of the verification model to verify the calculation result, thereby determining whether the target AOI threshold is a threshold value that meets the current communication scenario.

[0136] Exemplarily, when it is determined that it meets the requirements, the terminal device can communicate with the network device based on the target AOI threshold. Exemplarily, if it does not meet the requirements, the terminal device can perform a secondary calculation based on the acquired activation probability, detection success rate, the first number of terminal devices currently served in the network coverage area where the terminal device is located, and the second number of terminal devices supported in the network coverage area at the same time, or send an indication message to the network device to indicate that the network device can re-determine the activation probability of the terminal device, the detection success rate, the number of terminal devices currently served in the network coverage area where the terminal device is located, and the number of terminal devices supported in the network coverage area at the same time, so as to avoid inaccurate results due to errors, etc.

[0137] In one possible implementation, the second number, i.e., the maximum number of terminal devices that can be supported at the same time in the network coverage area where the terminal device is located, can be determined based on the number of rows and columns of the perception matrix under the compressed sensing theoretical framework.

[0138] Exemplarily, the second number may be determined by the network device.

[0139] In this embodiment, the terminal device can determine the target AOI threshold suitable for the terminal device to be used in the network coverage area according to its activation probability, detection success rate, the first number of terminal devices currently served in the network coverage area where the terminal device is located, and the second number of terminal devices supported in the network coverage area at the same time, and according to these parameters. The terminal device can send information to the network device based on the target AOI threshold, so that the network device has better processing efficiency for the information, thereby improving the performance of the communication system.

[0140] In one possible implementation, the network device can determine the target AOI threshold based on the activation probability, the detection success rate, the first number of terminal devices currently served in the network coverage area where the terminal device is located, and the second number of terminal devices supported in the network coverage area at the same time, and then send the target AOI threshold to the terminal device via signaling, so that the terminal device can communicate with the network device based on the target AOI threshold.

[0141] In a possible implementation manner, after the terminal device determines the target AOI threshold, the terminal device may send corresponding information according to the target AOI threshold.

[0142] Figure 5 The signaling flow chart of the interaction between the terminal device and the network device provided in the embodiment of the present application is as follows: Figure 5 As shown, including:

[0143] S501. The terminal device obtains target information to be sent.

[0144] S502: When the information age of the target information reaches the target AOI threshold, the terminal device sends the target information to the network device.

[0145] In this embodiment, the terminal device can send information to the network device based on the determined target AOI threshold, so that the network device can process the information more efficiently, thereby improving the performance of the communication system.

[0146] Figure 6 The schematic diagram of the structure of a device for determining an AOI threshold provided in an embodiment of the present application is as follows: The device 60 comprises: a first acquisition module 601 , a second acquisition module 602 and a determination module 603 .

[0147] The first acquisition module 601 is used to acquire the activation probability of the terminal device and the detection success rate of the terminal device.

[0148] The second acquisition module 602 is used to obtain a first number of terminal devices currently being served in a network coverage area where the terminal device is located and a second number of terminal devices supported in the network coverage area at the same time, wherein the first number is less than or equal to the second number.

[0149] The determination module 603 is used to determine the target information age AOI threshold according to the activation probability, the detection success rate, the second number and the first number.

[0150] In a possible implementation, 603 determines a module, which is specifically configured to:

[0151] A first parameter is determined according to the activation probability and the transmission success rate of the terminal device.

[0152] The second parameter is determined according to the activation probability, the detection success rate, the transmission success rate, the first quantity, the second quantity and the first parameter.

[0153] A target AOI threshold is determined according to the first parameter and the second parameter.

[0154] In a possible implementation, the determination module 603 is specifically configured to:

[0155] A third parameter is determined according to the activation probability, the detection success rate, the transmission success rate, the first quantity, and the second quantity.

[0156] The second parameter is determined according to the third parameter and the first parameter.

[0157] In a possible implementation, the determination module 603 is specifically configured to:

[0158] A fourth parameter is determined according to the transmission success rate, the detection success rate, the first quantity, and the second quantity.

[0159] A third parameter is determined according to the activation probability and the fourth parameter.

[0160] In a possible implementation, the determination module 603 is specifically configured to:

[0161] The ratio of the transmission success rate to the detection success rate is determined as the fifth parameter.

[0162] The sixth parameter is determined by taking the difference between the first quantity, the second quantity and the first preset value.

[0163] A first power value is generated with the fifth parameter as the base and the sixth parameter as the power, and a difference between the second preset value and the first power value is determined as the fourth parameter.

[0164] In a possible implementation manner, the second number is determined according to the number of rows and columns of a perception matrix under a compressed sensing theory framework.

[0165] In a possible implementation, the determination module 603 is specifically configured to:

[0166] A threshold relationship expression corresponding to the AOI threshold is established according to the first parameter and the second parameter.

[0167] The threshold relationship is solved according to the dichotomy method to obtain the first threshold value.

[0168] The first threshold value is determined as the target AOI threshold.

[0169] In a possible implementation, the device 60 further includes a communication module, which is configured to:

[0170] Get the target information to be sent.

[0171] When the information age of the target information reaches the target AOI threshold, the target information is sent.

[0172] The device of this embodiment can be used to execute the technical solution in the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0173] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 7 As shown, the electronic device 70 may include: at least one processor 701 and a memory 702 .

[0174] The memory 702 is used to store programs. Specifically, the programs may include program codes, and the program codes include computer-executable instructions.

[0175] The memory 702 may include a random access memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory), such as at least one disk memory.

[0176] The processor 701 is used to execute the computer-executable instructions stored in the memory 702 to implement the method described in the above method embodiment. The processor 701 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0177] Optionally, the electronic device 70 may further include: a communication interface 703. In a specific implementation, if the communication interface 703, the memory 702 and the processor 701 are implemented independently, the communication interface 703, the memory 702 and the processor 701 may be interconnected through a bus and communicate with each other. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc., but it does not mean that there is only one bus or one type of bus.

[0178] Optionally, in a specific implementation, if the communication interface 703, the memory 702 and the processor 701 are integrated on a chip, the communication interface 703, the memory 702 and the processor 701 can communicate through an internal interface.

[0179] The electronic device 70 may be a terminal device, a chip, a chip module, an IDE, a smart home device, a smart wearable device, a smart vehicle, etc.

[0180] The electronic device of this embodiment can be used to execute the technical solution of the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0181] The embodiment of the present application provides a computer-readable storage medium, which may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a RAM, a disk or an optical disk, and other media that can store computer-executable instructions. Specifically, the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a computer, the technical solution shown in the above method embodiment is executed. The specific implementation method and technical effect are similar and will not be repeated here.

[0182] An embodiment of the present application provides a computer program product, including a computer program. When the computer program is executed by a computer, the technical solution shown in the above method embodiment is executed. The specific implementation method and technical effect are similar and will not be repeated here.

[0183] An embodiment of the present application provides a chip having a computer program stored thereon. When the computer program is executed by the chip, the technical solution shown in the above method embodiment is executed.

[0184] In a possible implementation, the chip may also be a chip module.

[0185] The chip of this embodiment can be used to execute the technical solution shown in the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0186] An embodiment of the present application provides a module device, which includes a power module, a storage module and a chip module.

[0187] Among them, the power module is used to provide electrical energy to the module equipment.

[0188] The storage module is used to store data and instructions.

[0189] The chip module of this embodiment can be used to execute the technical solution shown in the above method embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0190] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0191] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

[0192] In this application, "at least one" means one or more. "Multiple" means two or more. The first, second, etc. descriptions that appear in the embodiments of this application are only used for illustration and distinction of the described objects. There is no order, nor does it represent a special limitation on the number of devices in the embodiments of this application, and cannot constitute any limitation on the embodiments of this application. For example, the first threshold and the second threshold are only used to distinguish different thresholds, and do not represent the difference in size, priority or importance of the two thresholds.

[0193] In this application, "exemplary", "in some embodiments", "in other embodiments", etc. are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary" in this application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present concepts in a concrete way.

[0194] In this application, "of", "corresponding, relevant", "corresponding", and "associated" can sometimes be used interchangeably. It should be noted that when the distinction is not emphasized, the meanings they express are consistent. In the embodiments of this application, communication and transmission can sometimes be used interchangeably. It should be noted that when the distinction is not emphasized, the meanings they express are consistent. For example, transmission can include sending and / or receiving, which can be a noun or a verb.

[0195] In this application, "equal to" can be used in conjunction with "less than" or "greater than", but not with both "less than" and "greater than". When "equal to" is used in conjunction with "less than", it is applicable to the technical solution adopted by "less than". When "equal to" is used in conjunction with "greater than", it is applicable to the technical solution adopted by "greater than".

Claims

1. A method for determining an AOI threshold, characterized in that: Applied in terminal equipment, including: Obtaining an activation probability of the terminal device and a detection success rate of the terminal device, wherein the activation probability refers to the probability that the terminal device generates information at any time, and the detection success rate refers to the probability that the information sent by the terminal device is successfully received and processed by the network device; Obtaining a first number of terminal devices currently served within a network coverage area where the terminal device is located and a second number of terminal devices supported at the same time within the network coverage area, wherein the first number is less than or equal to the second number; Determine a target information age AOI threshold according to the activation probability, the detection success rate, the second number, and the first number.

2. The method according to claim 1, characterized in that Determining a target AOI threshold according to the activation probability, the detection success rate, the second number, and the first number includes: Determining a first parameter according to the activation probability and the transmission success rate of the terminal device; determining a second parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, the second number, and the first parameter; The target AOI threshold is determined according to the first parameter and the second parameter.

3. The method according to claim 2, characterized in that Determining a second parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, the second number, and the first parameter includes: determining a third parameter according to the activation probability, the detection success rate, the transmission success rate, the first number, and the second number; The second parameter is determined according to a third parameter and the first parameter.

4. The method according to claim 3, characterized in that The activation probability, the detection success rate, the transmission success rate, the first quantity, and the second quantity are used to determine a third parameter, including: determining a fourth parameter according to the transmission success rate, the detection success rate, the first number, and the second number; The third parameter is determined according to the activation probability and the fourth parameter.

5. The method according to claim 4, characterized in that Determining a fourth parameter according to the transmission success rate, the detection success rate, the first quantity, and the second quantity includes: Determine a ratio of the transmission success rate to the detection success rate as a fifth parameter; Determine a sixth parameter by taking the difference between the first number, the second number and a first preset value; A first power value is generated with the fifth parameter as a base and the sixth parameter as a power, and a difference between the second preset value and the first power value is determined as the fourth parameter.

6. The method according to any one of claims 1 to 5, characterized in that: The second number is determined according to the number of rows and columns of a perception matrix under the framework of compressed sensing theory.

7. The method according to claim 2, characterized in that: Determining the target AOI threshold according to the first parameter and the second parameter includes: Establishing a threshold relationship corresponding to the AOI threshold according to the first parameter and the second parameter; Solving the threshold relationship equation according to the dichotomy method to obtain a first threshold value; The first threshold value is determined as the target AOI threshold.

8. The method according to any one of claims 1 to 5, characterized in that: The method further comprises: Get the target information to be sent; When the information age of the target information reaches the target AOI threshold, the target information is sent.

9. A device for determining an AOI threshold, characterized in that: include: A first acquisition module is used to acquire an activation probability of a terminal device and a detection success rate of the terminal device, wherein the activation probability refers to the probability that the terminal device generates information at any time, and the detection success rate refers to the probability that the information sent by the terminal device is successfully received and processed by the network device; A second acquisition module, used to acquire a first number of terminal devices currently served in a network coverage area where the terminal device is located and a second number of terminal devices supported in the network coverage area at the same time, wherein the first number is less than or equal to the second number; A determination module is used to determine the target information age AOI threshold according to the activation probability, the detection success rate, the second number and the first number.

10. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 8 when executed by a processor.

12. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 8 when being executed by a processor.

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