Method, device and storage medium for nr wireless aware selection of sensing mode

Abstract

The application discloses a method and device for NR wireless sensing selection of a sensing mode, and the method comprises the following steps: an AF receives environmental interference information transmitted by a sensing terminal in real time and delivers the environmental interference information to an NEF; the NEF transmits the environmental interference information delivered by the AF to an NWDAF; the NWDAF acquires network performance data of a current 5G environment from NFs and determines whether there is interference in the current 5G environment based on the network performance data; the NWDAF feeds back an interference determination result of whether there is interference in the current 5G environment to the NEF; the NEF feeds back the interference determination result to the AF, and the AF transmits the interference determination result to the sensing terminal; in the case that the interference determination result is that there is interference, the AF receives request information of the sensing terminal and transmits the request information to a PCF to request coordination of a sensing service; the PCF updates the current sensing service according to the request information; the PCF transmits the updated sensing service to the AF, and the AF transmits the updated sensing service to the sensing terminal so that the sensing terminal selects a sensing mode according to the updated sensing service. The application can effectively reduce interference from the environment.

Description

Technical Field

[0001] This application relates to the field of NR wireless sensing technology based on 5GS, and specifically to a method, device and storage medium for selecting sensing modes in NR wireless sensing. Background Technology

[0002] When RAN / terminal entities perceive environmental information during sensing measurements, interference from other RAN entities / radars / fake base stations can cause deviations in the collected sensing information (such as the position and speed of people and vehicles, possible future actions, drivable areas, understanding of traffic rules, size and appearance of objects, etc.), affecting the collection of sensing information. Currently, there is no good solution for this. Summary of the Invention

[0003] The purpose of this application is to provide a method, device, and computer-readable storage medium for selecting sensing modes in NR wireless sensing, which can solve the problem of environmental interference at the sensing end.

[0004] To achieve the above objectives, this application provides a method for selecting sensing modes in NR wireless sensing, comprising:

[0005] The AF receives environmental interference information sent in real time from the sensing end and transmits it to the NEF in real time.

[0006] The NEF sends the environmental interference information transmitted by the AF to the NWDAF;

[0007] NWDAF obtains the current 5G environment network performance data from NFs and determines whether there is interference in the current 5G environment based on the network performance data.

[0008] NWDAF will feed back the interference determination results of the current 5G environment to NEF;

[0009] The NEF feeds back the interference determination result to the AF, and the AF sends the interference determination result to the sensing end.

[0010] If the interference determination result indicates that interference exists, the AF receives the request information from the sensing end and sends it to the PCF to request coordinated sensing services.

[0011] PCF updates the current sensing service based on the received request information;

[0012] The PCF sends the updated sensing service to the AF, and the AF sends the updated sensing service to the sensing end so that the sensing end can select the sensing mode according to the updated sensing service.

[0013] Optionally, the sensing end is a RAN / terminal entity.

[0014] Optionally, the PCF updates the current sensing service based on the received request information, including:

[0015] PCF receives interference perception data of the current 5G environment obtained by interference monitoring equipment;

[0016] PCF analyzes and evaluates the interference sensing data to obtain interference assessment results;

[0017] PCF determines an update strategy to update the sensing service based on the interference assessment results.

[0018] Optionally, the interference sensing data includes at least the signal strength, interference level, and network quality indicators in the current 5G environment.

[0019] Optionally, the PCF integrates an interference-sensing transmission system to acquire the interference-sensing data.

[0020] Optionally, if the interference assessment result indicates that the interference originates from other wireless devices or communication systems, the PCF determines an update strategy based on the interference assessment result to update the sensing service, including:

[0021] Adjust the channel or frequency band of the sensing end.

[0022] Optionally, updating the current sensing service includes: optimizing resource allocation;

[0023] The optimized resource allocation includes: increasing allocated bandwidth, adjusting the data sampling rate, and / or adjusting the power of the sensors at the sensing end.

[0024] Optionally, the method further includes:

[0025] 5GS receives sensing requests from third parties and modifies the PCF's sensing services based on those requests.

[0026] To achieve the above objectives, this application also provides an apparatus comprising:

[0027] processor;

[0028] A memory in which executable instructions of the processor are stored;

[0029] The processor is configured to perform the NR wireless sensing mode selection method as described above by executing the executable instructions.

[0030] To achieve the above objectives, this application also provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the NR wireless sensing mode selection method as described above.

[0031] This application also provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the NR wireless sensing mode selection method as described above.

[0032] When the sensing end of this application detects interference while sensing environmental information, it sends environmental interference information to the AF and then transmits it to the NEF. The NEF further transmits the environmental interference information to the NWDAF. The NWDAF obtains the current 5G environment network performance data from the NFS based on the received environmental interference information and determines whether there is interference in the current 5G environment based on the network performance data. The interference determination result is fed back to the sensing end through the NEF and AF. If the interference determination result indicates that there is interference, the sensing end sends a request message to the AF and then to the PCF to request coordinated sensing services. After receiving the request message, the PCF performs the operation of updating the current sensing service and sends the updated sensing service to the sensing end through the AF. The sensing end selects a sensing mode according to the updated sensing service. Thus, when the sensing end senses environmental information in the new sensing mode, it can effectively reduce interference from the environment, which helps to avoid affecting the collection of sensing information. Attached Figure Description

[0033] Figure 1 This is a flowchart of a method for selecting a sensing mode using NR wireless sensing according to an embodiment of this application.

[0034] Figure 2 This is a flowchart of Embodiment 5GS updating the sensing service based on the sensing requirements of a third party and feeding it back to the sensing end.

[0035] Figure 3 This is a schematic block diagram of the device according to an embodiment of this application. Detailed Implementation

[0036] To explain in detail the technical content, structural features, objectives and effects of this application, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0037] To facilitate understanding of this application, the relevant terms used in this application are explained below:

[0038] 5GS: 5G System

[0039] 5GC: 5G Core 5G Core Network

[0040] RAN: Radio Access Network

[0041] AF: Application Function

[0042] NF: Network Function: The abbreviation for core network elements in 5G networks.

[0043] NEF: Network Exposure Function

[0044] PCF: Policy Control Function

[0045] NWDAF: Network Data Analytics Function

[0046] Example 1

[0047] Please see Figure 1 This application discloses a method for selecting sensing modes in NR wireless sensing, comprising:

[0048] 101. The AF receives environmental interference information sent in real time by the sensing end and transmits it to the NEF in real time.

[0049] Environmental interference information is the information emitted by the sensing end when it detects interference beyond the normal sensing information, indicating that interference has been detected. How to define whether the sensing end has detected interference can be set according to the actual situation. For example, when a certain indicator data exceeds the standard, the sensing end can be regarded as having interference in the environment and can send environmental interference information for confirmation.

[0050] Specifically, the sensing end is the RAN / terminal entity.

[0051] 102. NEF sends the environmental interference information transmitted from AF to NWDAF.

[0052] After receiving the environmental interference information from the AF, the NEF authorizes the AF's request to send the environmental interference information to the NWDAF.

[0053] 103. NWDAF obtains the current 5G environment network performance data from NFs and determines whether there is interference in the current 5G environment based on the network performance data.

[0054] Specifically, determining whether interference exists in the current 5G environment based on network performance data includes:

[0055] Based on network performance data, determine whether there are interference sources such as harassing base stations in the current 5G environment;

[0056] If there are interference sources such as disturbing base stations in the current 5G environment, then it is determined that there is interference in the current 5G environment.

[0057] It is important to note that determining whether interference exists in the current 5G environment may require setting conditions. For example, if a certain condition is met, it may be considered that there is no interference, and if the condition is not met, it may be considered that there is interference.

[0058] 104. NWDAF will feed back the interference determination results, such as whether there is interference in the current 5G environment, to NEF.

[0059] After NWDAF determines whether there is interference in the current 5G environment, it will feed back the interference determination result to NEF, regardless of whether there is interference or not.

[0060] 105. The NEF feeds back the interference determination results to the AF, and the AF sends the interference determination results to the sensing end.

[0061] After receiving the interference determination result, the NEF will feed the interference determination result back to the AF. After receiving the interference determination result, the AF will send the interference determination result to the sensing end, so that the sensing end can obtain the determination result of whether there is interference or not in the current 5G environment, so as to determine whether to issue the corresponding request.

[0062] 106. If the interference determination result indicates that interference exists, the AF receives the request information from the sensing end and sends it to the PCF to request coordinated sensing services.

[0063] When the sensing end confirms the presence of interference in the current 5G environment based on the received interference determination results, it sends a request message to the AF to request coordinated sensing services from the PCF through the AF. After receiving the request message from the sensing end, the AF immediately forwards the request message to the PCF.

[0064] 107. PCF updates the current sensing service based on the received request information.

[0065] Specifically, the PCF updates the current sensing service based on the received request information, including:

[0066] PCF receives interference perception data of the current 5G environment obtained by interference monitoring equipment;

[0067] PCF analyzes and evaluates interference sensing data to obtain interference assessment results;

[0068] PCF determines update strategies to update sensing services based on interference assessment results.

[0069] Specifically, interference monitoring equipment can be a base station, a sensing device, or a dedicated interference monitoring device. The interference monitoring device can have built-in sensors for data collection. It communicates with the PCF (Power Processing Unit) to transmit interference sensing data.

[0070] Specifically, in order to facilitate the acquisition of interference sensing data from interference monitoring equipment, the PCF may integrate an interference sensing transmission system, but it is not limited to this.

[0071] Specifically, interference perception data can include signal strength, interference levels, and network quality indicators in the current 5G environment, etc. Anything that allows for a relatively accurate assessment of interference is acceptable.

[0072] Specifically, after collecting interference sensing data, the PCF can process and interpret information such as interference type, interference intensity, interference duration, and interference distribution.

[0073] Once the interference assessment results are determined, the PCF can formulate appropriate strategies to coordinate sensing services and select suitable sensing modes based on these results.

[0074] If the interference assessment indicates that the interference originates from other wireless devices or communication systems, the PCF determines an update strategy to update the sensing service based on the interference assessment results, including adjusting the channel or frequency band of the sensing device. Adjusting the channel or frequency band of the sensing device can reduce interference.

[0075] PCF can also determine which sensing mode to use based on the intensity and frequency of interference. For example, in cases of severe interference, a more interference-resistant sensing mode can be selected or the sensing frequency can be adjusted to improve the performance of the sensing device and the data quality.

[0076] Depending on the interference situation, PCF can also optimize resource allocation, such as allocating more bandwidth, adjusting the data sampling rate, or adjusting the sensor power, to minimize the impact of interference on sensing services.

[0077] 108. The PCF sends the updated sensing service to the AF, and the AF sends the updated sensing service to the sensing end so that the sensing end can select the sensing mode according to the updated sensing service.

[0078] After completing the sensor service update, the PCF sends the updated sensor service to the AF. Upon receiving the updated sensor service, the AF sends it to the sensing end so that the sensing end can select a sensing mode based on the updated sensor service. In turn, the sensing end can perform environmental perception and collect environmental information based on the sensing mode that is more suitable for the current environment.

[0079] Please combine Figure 2The method for selecting a sensing mode in NR wireless sensing in this application also includes: the 5GS receiving a third party's sensing requirements and modifying the PCF's sensing service based on the third party's sensing requirements.

[0080] If a third party has special sensing needs, it can provide feedback to 5GS. 5GS can configure corresponding sensing services according to the specific needs of the third party. In the sensing services, the 5GS controls the process according to the policy and sends the sensing services required by the third party to the RAN / terminal entity. The RAN / terminal entity selects the corresponding sensing mode to collect the sensing information according to the sensing services sent by 5GS, so as to achieve the sensing information collected by the third party.

[0081] When the sensing end of this application detects interference while sensing environmental information, it sends environmental interference information to the AF and then transmits it to the NEF. The NEF further transmits the environmental interference information to the NWDAF. The NWDAF obtains the current 5G environment network performance data from the NFS based on the received environmental interference information and determines whether there is interference in the current 5G environment based on the network performance data. The interference determination result is fed back to the sensing end through the NEF and AF. If the interference determination result indicates that there is interference, the sensing end sends a request message to the AF and then to the PCF to request coordinated sensing services. After receiving the request message, the PCF performs the operation of updating the current sensing service and sends the updated sensing service to the sensing end through the AF. The sensing end selects a sensing mode according to the updated sensing service. Thus, when the sensing end senses environmental information in the new sensing mode, it can effectively reduce interference from the environment, which helps to avoid affecting the collection of sensing information.

[0082] Regarding how the core network can determine whether there is interference in the current 5G environment, the following common methods can be used:

[0083] 1. Signal Strength Monitoring: The core network can determine the presence of interference by monitoring the signal strength of mobile devices. If the signal strength of a base station is abnormally strong or weak, it may indicate the presence of an interference source nearby. The specific steps are as follows:

[0084] (1) Measurement report collection: The core network collects measurement reports sent by mobile devices. These reports contain the measurement results of the devices on nearby base stations, such as signal strength, signal-to-noise ratio, and latency.

[0085] (2) Signal Parameter Analysis: The core network analyzes the signal parameters in the measurement report, focusing on the following characteristics:

[0086] Abnormal signal strength: Check if the signal strength in the measurement report is abnormally high or low, exceeding the normal range, and compare it with the signal strength of surrounding base stations.

[0087] Abnormal signal-to-noise ratio: Analyze whether the signal-to-noise ratio in the measurement report is abnormal or below the normal level, which may be caused by interference.

[0088] Abnormal latency: Observe whether the latency in the measurement report is abnormally high and exceeds the normal range, which may also indicate the presence of interference.

[0089] (3) Signal quality comparison: The core network compares the signal parameters in the mobile device measurement report with the same parameters of neighboring base stations to find features that differ from other base stations. These features may be caused by interference.

[0090] (4) Anomaly Feature Identification: Through analysis and comparison, the core network can identify some features related to interference, such as:

[0091] Abnormal base station identification: Detects situations where mobile devices are connected to unknown or illegal base stations.

[0092] Interference band identification: Identify interference signals in specific frequency bands or frequencies and compare them with normal frequency bands.

[0093] 2. Signal Spectrum Analysis: The core network can detect the presence of illegal signals by analyzing the spectrum. Fake base stations often broadcast on unlicensed frequency bands; these abnormal signals can be detected by analyzing the spectrum. The specific steps are as follows:

[0094] (1) Spectrum data acquisition: The core network collects spectrum data from nearby base stations through specialized spectrum monitoring equipment or sensors. This data may include signal strength, bandwidth utilization, and spectrum occupancy in different frequency bands (such as 2G, 3G, 4G, 5G, etc.).

[0095] (2) Spectrum Analysis: The core network analyzes the collected spectrum data to determine if any illegal signals exist. Spectrum analysis may include the following aspects:

[0096] Spectrum Occupation: Detects whether the spectrum is illegally occupied or partially occupied.

[0097] Spectral interference: Analyze abnormal signals or interference sources in the spectrum, such as excessive power or frequency drift.

[0098] Illegal frequency use: Detects whether there are any non-compliant frequency uses, such as the use of unauthorized frequency bandwidths or bands.

[0099] Expected signals vs. unexpected signals: Identify the differences between expected signals (known legitimate base station signals) and unexpected signals (unknown illegal signals).

[0100] (3) Illegal signal location: When an illegal signal is detected, the core network can use the signal strength differences between multiple spectrum monitoring points to locate the approximate location of the illegal signal source. Triangulation of multiple monitoring points or other location techniques can be used to track and locate the source of the illegal signal.

[0101] (4) Handling of illegal signals: Once an illegal signal is identified, the core network can take a series of measures to handle it, such as notifying regulatory agencies, adopting interference suppression technology, and cooperating with law enforcement agencies in investigations, in order to ensure the normal operation of the wireless communication network.

[0102] 3. Interaction with neighboring base stations: The core network can communicate with neighboring base stations to exchange base station information, such as signal strength and measurement reports. If the information reported by neighboring base stations is inconsistent with the information recorded by the core network, it may indicate interference. The specific steps are as follows:

[0103] (1) Handover record collection: The core network records the handover behavior of mobile devices. These handover records include information such as the time, frequency and reason for the device to switch from one base station to another.

[0104] (2) Handover Behavior Analysis: The core network analyzes handover records to determine if any abnormal handover behavior exists. The following are some common analytical indicators for abnormal handover behavior patterns:

[0105] Frequent handover: The device frequently switches base stations within a short period of time, exceeding the normal handover range.

[0106] Cross-band switching: The device frequently switches between different frequency bands, which may indicate the presence of an interference source affecting the normal connection of the device.

[0107] Deviation from normal: The device switches to an unconventional base station, such as an unknown or illegal base station.

[0108] Premature or late switching: The device switches base stations at an inappropriate time, which is not compatible with its actual location and speed.

[0109] Abnormal handover detection: When abnormal handover behavior is detected during analysis, the core network will mark it as a potential sign of interference.

[0110] Interference Confirmation: Once potential interference indicators are flagged, the core network can confirm the presence of interference through further analysis and detection. This may involve collaborating with other system components and using additional techniques (such as spectrum analysis) to detect and locate the interference source.

[0111] In this embodiment of the application, interference in the 5G environment can include the following categories:

[0112] (1) Wireless signal interference: This includes signal interference from other wireless devices or communication systems. These interfering signals may conflict with the communication frequency bands of sensing devices or sensors, leading to degraded communication quality or data loss. For example, wireless devices using the same frequency band may interfere with the communication of sensing devices.

[0113] (2) Electromagnetic interference: The presence of electromagnetic fields may interfere with the electronic components and circuits of sensing devices or sensors. This interference may lead to equipment malfunction, inaccurate data acquisition, or degraded equipment performance.

[0114] (3) Physical obstacle interference: Physical obstacles, such as buildings and terrain, may block or interfere with the signals received or transmitted by sensing devices or sensors. This interference may cause signal attenuation, reflection, refraction or scattering, thereby affecting the performance of sensing devices and the quality of data acquisition.

[0115] (4) Inter-sensor interference: When multiple sensors are deployed in the same area at the same time, mutual interference may occur. This interference may be caused by electromagnetic or physical coupling between sensors, resulting in inaccurate sensing data or conflicts.

[0116] (5) Environmental noise interference: Noise sources in the sensing environment, such as sound and light, may also interfere with the performance and data quality of certain sensors or sensing devices. For example, in sound sensing, ambient noise may interfere with the detection and analysis of sound signals.

[0117] Example 2

[0118] Please combine Figure 3 This application discloses a device comprising:

[0119] Processor 30;

[0120] Memory 40, which stores executable instructions of processor 30;

[0121] The processor 30 is configured to execute the NR wireless sensing mode selection method as described in Embodiment 1 by executing executable instructions.

[0122] Example 3

[0123] This application discloses a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the method for selecting a sensing mode for NR wireless sensing as described in Embodiment 1.

[0124] Example 4

[0125] This application discloses a computer program product or computer program that includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the electronic device to perform the NR wireless sensing mode selection method as described in Embodiment 1.

[0126] It should be understood that, in the embodiments of this application, the processor may be a central processing unit (CPU), but it may also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0127] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by hardware related to computer program instructions. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0128] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0129] The above-disclosed examples are merely preferred embodiments of this application and should not be construed as limiting the scope of this application. Therefore, any equivalent variations made in accordance with the claims of this application shall fall within the scope of this application.

Claims

1. A method for selecting a sensing mode in NR wireless sensing, characterized in that, include: The AF receives environmental interference information sent in real time from the sensing end and transmits it to the NEF in real time. The NEF sends the environmental interference information transmitted by the AF to the NWDAF; NWDAF obtains the current 5G environment network performance data from NFs and determines whether there is interference in the current 5G environment based on the network performance data. NWDAF will feed back the interference determination results of the current 5G environment to NEF; The NEF feeds back the interference determination result to the AF, and the AF sends the interference determination result to the sensing end. If the interference determination result indicates that interference exists, the AF receives the request information from the sensing end and sends it to the PCF to request coordinated sensing services. PCF updates the current sensing service based on the received request information; The PCF sends the updated sensing service to the AF, and the AF sends the updated sensing service to the sensing end so that the sensing end can select the sensing mode according to the updated sensing service.

2. The method for selecting sensing modes in NR wireless sensing as described in claim 1, characterized in that, The sensing end is a RAN / terminal entity.

3. The method for selecting sensing modes in NR wireless sensing as described in claim 1, characterized in that, The PCF updates the current sensing service based on the received request information, including: PCF receives interference perception data of the current 5G environment obtained by interference monitoring equipment; PCF analyzes and evaluates the interference sensing data to obtain interference assessment results; PCF determines an update strategy to update the sensing service based on the interference assessment results.

4. The method for selecting sensing modes in NR wireless sensing as described in claim 3, characterized in that, The interference perception data includes at least the signal strength, interference level, and network quality indicators in the current 5G environment.

5. The method for selecting sensing modes in NR wireless sensing as described in claim 3, characterized in that, PCF integrates an interference sensing transmission system to acquire the interference sensing data.

6. The method for selecting sensing modes in NR wireless sensing as described in claim 3, characterized in that, If the interference assessment result indicates that the interference originates from other wireless devices or communication systems, the PCF determines an update strategy based on the interference assessment result to update the sensing service, including: Adjust the channel or frequency band of the sensing end.

7. The method for selecting sensing modes in NR wireless sensing as described in claim 3, characterized in that, The update of the current sensing service includes: optimizing resource allocation; The optimized resource allocation includes: increasing allocated bandwidth, adjusting the data sampling rate, and / or adjusting the power of the sensors at the sensing end.

8. The method for selecting sensing modes in NR wireless sensing as described in claim 1, characterized in that, Also includes: 5GS receives sensing requests from third parties and modifies the PCF's sensing services based on those requests.

9. A device, characterized in that, include: processor; A memory in which executable instructions of the processor are stored; The processor is configured to perform the NR wireless sensing mode selection method as described in any one of claims 1 to 8 by executing the executable instructions.

10. A computer-readable storage medium having a program stored thereon, characterized in that, When the program is executed by the processor, it implements the method for selecting a sensing mode for NR wireless sensing as described in any one of claims 1 to 8.

Images