A method and device for detecting and monitoring multi-dimensional mobile wireless signals

Abstract

The application relates to the technical field of wireless communication, in particular to a multi-dimension mobile wireless signal detection and monitoring method and device; the method comprises the following steps: demodulating a downlink signal, obtaining service cell information, and analyzing a downlink control channel to extract a rank indication; judging whether a current channel satisfies a multiple-input multiple-output transmission condition according to a statistical distribution of the rank indication, identifying an implicit fault that cannot realize double-flow transmission although signal strength meets a standard; collecting an uplink frequency band signal, calculating received interference power on each physical resource block, and distinguishing narrowband interference from wideband interference according to a frequency domain characteristic of the physical resource block level received interference power; analyzing downlink control information issued by a base station, extracting an uplink modulation and coding strategy index and a power control command, and inferring uplink quality according to a correlation between a cumulative value of the power control command and a current modulation and coding strategy level; the application is suitable for scenes with weak operation and maintenance capability such as a room distribution system, and realizes low-cost and multi-dimension intelligent operation and maintenance.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, specifically to a method and apparatus for detecting and monitoring multi-dimensional mobile wireless signals. Background Technology

[0002] The rapid development of mobile communications has driven the rapid construction and deployment of wireless equipment, leading to a surge in demand for indoor signal coverage. Due to the obstruction and shielding effects of buildings, indoor signal coverage often becomes a wireless signal blind spot. Indoor distributed systems (DPS) are widely used for indoor signal coverage due to their low cost, convenient deployment, and strong scalability. However, many DPS systems have simple structures, weak operation and maintenance monitoring capabilities, and fault detection and reporting capabilities far lower than macro base stations. They are prone to problems such as abnormal coverage, damaged antenna branches, MIMO failure, uplink interference, and substandard data rates, which are difficult to detect proactively and easily lead to user complaints.

[0003] Traditional wireless signal detection methods can only monitor basic downlink indicators such as RSRP (Reference Signal Received Power), SINR (Signal Interference-to-Noise Ratio), and RSSI (Received Signal Strength Indicator), but cannot perform uplink signal quality detection, MIMO transmission status determination, PRB-level uplink interference analysis, and service rate verification. They are also unable to identify hidden faults such as normal signal indicators but low service rates.

[0004] In summary, existing technologies cannot meet the full-dimensional fault monitoring needs of indoor distributed antenna systems and wireless access systems. There is an urgent need for a multi-dimensional, proactive, and automated mobile wireless signal detection and monitoring method to achieve rapid fault location, early warning, and intelligent operation and maintenance, thereby improving the user's network experience. Summary of the Invention

[0005] The purpose of this invention is to propose a multi-dimensional mobile wireless signal detection and monitoring method and device, so as to at least solve one of the defects of the prior art: the mobile wireless signal detection dimension is single, it cannot identify MIMO latent faults, it cannot accurately locate uplink PRB level interference, it cannot infer uplink quality, and it lacks active testing capabilities.

[0006] To achieve the objectives of this invention, the following technical solution is adopted:

[0007] The first aspect of this invention proposes a method for detecting and monitoring multi-dimensional mobile wireless signals, characterized by comprising the following steps:

[0008] The downlink signal is demodulated to obtain serving cell information, and the downlink control channel is parsed to extract the rank indication;

[0009] Based on the statistical distribution of the rank indication, determine whether the current channel meets the multiple-input multiple-output transmission conditions, and identify hidden faults where the signal strength meets the standard but dual-stream transmission is not possible.

[0010] A further improvement is that the method further includes the following steps:

[0011] The system collects uplink frequency band signals, calculates the received interference power on each physical resource block, and distinguishes between narrowband interference and broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level.

[0012] A further improvement is that the method further includes the following steps: parsing the downlink control information sent by the base station, extracting the uplink modulation and coding strategy index and power control command, and inferring the uplink quality based on the correlation between the cumulative value of the power control command and the current modulation and coding strategy level.

[0013] A further improvement lies in the method for determining whether the current channel meets the multiple-input multiple-output transmission conditions based on the statistical distribution of the rank indication, and for identifying latent faults where the signal strength meets the requirements but dual-stream transmission is not possible.

[0014] Set a sliding time window, count the number of sampling points with rank indicator equal to 1 and the number of sampling points with rank indicator equal to 2 within the window, and calculate the dual-stream ratio, where the dual-stream ratio is equal to the number of sampling points with rank indicator equal to 2 divided by the sum of the number of sampling points with rank indicator equal to 1 and the number of sampling points with rank indicator equal to 2; when the reference signal received power is detected to be higher than the first power threshold and the signal-to-noise ratio is higher than the first signal-to-noise ratio threshold, but the dual-stream ratio is continuously lower than the preset ratio threshold and the duration exceeds the preset duration threshold, it is determined to be a hidden multi-input multi-output fault.

[0015] A further improvement is that the specific method for distinguishing narrowband interference from broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level includes:

[0016] Calculate the average interference level and noise floor reference value across the entire bandwidth; if there are k consecutive physical resource blocks that satisfy the condition that the received interference power on the physical resource block is greater than the sum of the noise floor reference value and the first increment, and the proportion of these physical resource blocks to the total number of physical resource blocks is less than the first proportion threshold, then it is determined to be narrowband interference, and the center frequency and bandwidth of the interference are recorded; if physical resource blocks exceeding the second proportion threshold satisfy the condition that the received interference power on the physical resource block is greater than the sum of the noise floor reference value and the second increment, then it is determined to be wideband interference; wherein, the first increment and the second increment are preset interference increment thresholds, and the first increment is greater than the second increment.

[0017] A further improvement is that the specific method for inferring uplink quality based on the correlation between the accumulated value of power control commands and the current modulation and coding scheme level includes:

[0018] The uplink scheduling authorization for the target terminal in the downlink control information is parsed, the power control command is extracted and the cumulative power adjustment value is calculated; if the cumulative power adjustment value exceeds the preset uplink threshold within N consecutive uplink scheduling opportunities, and the power margin reported by the terminal is less than or equal to the preset margin threshold, and the uplink modulation and coding strategy index allocated by the base station is continuously lower than the preset modulation and coding strategy threshold, then it is determined that the uplink has high loss or uplink interference is limited.

[0019] Based on the physical resource block-level received interference power scan results: if the received interference power spectrum shows that the overall interference level is higher than the second interference threshold, it is determined that the uplink interference is limited; if the received interference power spectrum noise floor is normal, it is determined that the uplink hardware is faulty or the path loss is too large.

[0020] A further improvement is that the method also includes performing proactive service testing and automated operation and maintenance steps during preset low-traffic periods:

[0021] Perform cell search and synchronization, select the cell with the best signal quality for network attachment, and establish a packet data network connection;

[0022] A predetermined number of Internet Packet Explorer packets are continuously sent to measure round-trip time and packet loss rate;

[0023] Perform upload and download tests using File Transfer Protocol or Hypertext Transfer Protocol, and record the application layer throughput;

[0024] During the test, physical layer metrics are collected synchronously, including reference signal received power, signal-to-noise ratio, rank indication distribution, physical resource block level received interference power, uplink modulation and coding strategy index, and power control command accumulation value.

[0025] The test results of the business layer are correlated with the physical layer indicators to generate a test report, which is then uploaded to the network management center.

[0026] A second aspect of this invention provides a multi-dimensional mobile wireless signal detection and monitoring device, characterized in that it comprises:

[0027] The downlink quality assessment module is used to parse the downlink control channel to extract the rank indication, and determine the multiple input multiple output transmission conditions based on the statistical distribution of the rank indication, and identify hidden faults where the signal strength meets the standard but dual-stream transmission is not possible.

[0028] The uplink interference scanning module is used to collect uplink frequency band signals, calculate the received interference power on each physical resource block, and distinguish between narrowband interference and broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level.

[0029] The uplink parsing module is used to parse the downlink control information sent by the base station, extract the uplink modulation and coding strategy index and power control command, and infer the uplink quality based on the correlation between the cumulative value of the power control command and the current modulation and coding strategy level.

[0030] A third aspect of the present invention provides an electronic device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements a method for detecting and monitoring multi-dimensional mobile wireless signals as described in any one of the first aspects.

[0031] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the multi-dimensional mobile wireless signal detection and monitoring method as described in any one of the first aspects.

[0032] The beneficial effects of this invention are as follows:

[0033] This invention determines whether MIMO is actually effective by statistically analyzing the RI distribution, and can detect hidden faults such as "signal strength meets the standard but dual-stream transmission is not possible", thus overcoming the shortcomings of traditional methods that can only detect RSRP / SINR.

[0034] This invention uses PRB-level RIP scanning and establishes narrowband / wideband interference determination logic to accurately locate the frequency domain position of uplink interference, distinguish narrowband interference caused by privately installed amplifiers from wideband interference caused by intermodulation, and facilitate quick troubleshooting by maintenance personnel.

[0035] This invention reverse-engineers uplink quality by parsing the DCI (UL Grant, MCS, TPC commands) issued by the base station, and can detect uplink high loss or uplink interference-limited faults without the terminal actively reporting them.

[0036] This invention supports automatic inspection during off-peak hours, proactively initiating business tests during periods of low call volume, and correlating physical layer indicators with business layer rates for diagnosis. This can help detect nighttime faults in advance and reduce user complaints.

[0037] In summary, this invention integrates downlink, uplink, MIMO, interference, and rate detection, making it particularly suitable for scenarios with weak operation and maintenance capabilities, such as indoor distribution systems, to achieve low-cost, multi-dimensional intelligent operation and maintenance. Attached Figure Description

[0038] Figure 1 This is a flowchart of a multi-dimensional mobile wireless signal detection and monitoring method according to the present invention;

[0039] Figure 2 A flowchart for performing proactive business testing and automated operation and maintenance during preset low call traffic periods;

[0040] Figure 3 This is a schematic diagram of an electronic device according to the present invention. Detailed Implementation

[0041] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0042] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0043] Please refer to the attached document. Figure 1 This invention proposes a method for detecting and monitoring multi-dimensional mobile wireless signals and an apparatus for performing the detection and monitoring method. The method is applied to the signal detection and monitoring of an indoor distributed antenna system. The apparatus collects downlink and uplink signals of the indoor distributed antenna system through a coupling port or an air interface and is deployed independently of the user terminal.

[0044] Specifically, the device employs an FPGA (Field-Programmable Gate Array) and ARM (Advanced Reduced Instruction Set Processor) architecture to implement multi-mode baseband functionality. The device receives downlink RF signals from the target frequency band (e.g., 2.6GHz LTE or 3.5GHz NR) via an antenna, amplifies them with low noise, down-converts them to an intermediate frequency (IF), and then converts them into digital baseband signals using an ADC (Analog-to-Digital Converter). The device performs a two-dimensional time-frequency search of the baseband signal using the PSS (Primary Synchronization Signal) and SSS (Secondary Synchronization Signal) to achieve time-frequency synchronization with the base station. Based on this, it demodulates the PBCH (Physical Broadcast Channel) to obtain the MIB (Main Information Block); further demodulates the SIB (System Information Block) to obtain parameters such as the serving cell's Cell ID, PCI, frequency, and bandwidth, and acquires neighbor cell list information (including neighbor cell PCI and frequency). The device supports automatic multi-mode (e.g., LTE, NR) switching to adapt to different network environments.

[0045] The multi-dimensional mobile wireless signal detection and monitoring method proposed in this invention includes the following steps:

[0046] Step S1: Demodulate the downlink signal, obtain serving cell information, and parse the downlink control channel to extract the rank indicator; determine whether the current channel meets the multiple-input multiple-output (MIMO) transmission conditions based on the statistical distribution of the rank indicator, and identify hidden faults where the signal strength meets the standard but dual-stream transmission is not possible.

[0047] Step S2: Acquire uplink frequency band signals, calculate the received interference power on each physical resource block, and distinguish between narrowband interference and broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level.

[0048] Step S3: Parse the downlink control information sent by the base station, extract the uplink modulation and coding strategy index and power control command, and infer the uplink quality based on the correlation between the cumulative value of the power control command and the current modulation and coding strategy level.

[0049] Specifically, in step S1, the device continuously measures the downlink reference signal in either the connected or idle state. First, it calculates conventional metrics: RSRP (Reference Signal Received Power), RSSI (Received Signal Strength Indication), and SINR (Signal-to-Noise Ratio). Then, the device further parses the PDCCH (Physical Downlink Control Channel) and, for each scheduling cycle, obtains the RI (Rank Indicator) and PMI (Precoding Matrix Indicator) carried in the DCI (Downlink Control Information) format. RI indicates the number of spatial data streams that the current channel can support (RI=1 for single stream, RI=2 for dual stream).

[0050] Because RI changes slowly, the device employs a sliding window statistical method to eliminate instantaneous fluctuations. The device sets a sliding time window T (e.g., 10 seconds; for LTE, this contains 10,000 subframes; for NR, it depends on the subcarrier spacing), and counts the number of sampling points with RI=1 within the window. The number of sampling points with RI=2 (If higher-order MIMO is supported, RI≥2 can be combined into "multi-stream"), calculate the dual-stream ratio: If RSRP > -85dBm (first power threshold) and SINR > 20dB (first signal-to-noise ratio threshold) are detected, theoretically the channel quality is sufficient to support dual-stream transmission, but... If the percentage remains below 10% (the preset percentage threshold) for more than 30 seconds, it is considered a "MIMO latent fault." At this time, the device generates a "MIMO imbalance" alarm, indicating a possible open circuit in an antenna or feeder, a loose connector, or a fault in the RRU (Remote Radio Unit) channel. The alarm also carries information such as the affected cell's PCI, frequency, and actual dual-stream percentage.

[0051] To further pinpoint which channel the fault occurred on, the device can incorporate PMI information. PMI indicates the precoding matrix recommended by the base station; if the PMI consistently favors a particular antenna port (e.g., always selecting port 0), it suggests excessive link loss on the other port. Furthermore, the device can measure the difference in received power between the two reference signals (if RSRP estimates for each port can be obtained from broadcast data); a difference exceeding 6 dB indicates antenna imbalance.

[0052] It is understandable that traditional detection equipment can only report RSRP / SINR and does not analyze RI / PMI, so it cannot detect such faults. However, this embodiment can provide an early warning before the user perceives the rate drop. In addition, this embodiment can be implemented on existing hardware (FPGA+ARM) through software upgrade, which is low-cost and effective.

[0053] Specifically, in step S2, the device switches to uplink frequency band receiving mode (or acquires uplink signals through the coupling port). Energy integration is performed on each PRB (Physical Resource Block) within the uplink bandwidth to obtain the RIP (Received Interference Power) on each PRB, denoted as... ,in The PRB index is defined (i = 0~99 for a 20MHz LTE bandwidth; i = 0~272 for a 100MHz NR bandwidth). The device calculates the average interference level across the entire bandwidth. and noise floor benchmark (Take the average of the lowest 10% of PRBs). Then perform interference feature identification.

[0054] Specifically, in uplink receive mode, the device configures the receive filter to operate in the uplink frequency band (e.g., 1745-1765MHz for FDD systems; same frequency as downlink but in a different time slot for TDD systems). For each uplink subframe (TDD systems need to avoid downlink time slots), the device performs an FFT (Fast Fourier Transform) on each PRB to calculate its frequency domain energy, and integrates the energy within one subframe as the original RIP value for that PRB. To remove the effects of fast fading, the RIP values ​​of 20 consecutive subframes are smoothed using a filter. Let the total number of PRBs be... (100 for LTE 20MHz). (Obtained) , Calculate the noise floor. =Minimum 10% The average value. Calculate the average interference across the entire bandwidth. .

[0055] For narrowband interference identification: if there exist k consecutive PRBs (k≥3) satisfying In this embodiment, The first increment is set at 10 dB, and if the number of these PRBs accounts for less than 5% of the total number of PRBs (the first proportional threshold), it is considered narrowband interference. Narrowband interference is usually generated by privately installed signal amplifiers, jammers, or certain electronic devices. The device records the center frequency and bandwidth of the interference and highlights it on the heatmap. Based on the center frequency and recorded bandwidth, maintenance personnel can use a spectrum analyzer to locate the privately installed devices along the corresponding frequency direction.

[0056] Specifically, iterate through all PRBs and find three or more consecutive PRBs that each satisfy the condition. Given a PRB interval, calculate the interval length L (number of PRBs). If L < 0.05* This is marked as a narrowband interference region. The starting and ending PRB indices are recorded and converted to center frequencies. ,in, This is the starting frequency of the uplink band. Bandwidth for a single physical resource block. The starting PRB index (integer) for the narrowband interference range. The PRB index (integer) at the end of the interference interval.

[0057] For broadband interference identification: if more than 80% (the second proportional threshold) of the PRB meet the requirements... In this embodiment If the second increment is 5dB, it is considered broadband interference. Specifically, if the statistics meet the following criteria... The number of PRBs exceeds 0.8* This is marked as broadband interference. Broadband interference typically originates from intermodulation products, external strong signal blockage, or repeater self-oscillation. The device uploads the RIP spectrum curve to the operation and maintenance platform to help maintenance personnel quickly identify the type of interference source by its shape.

[0058] The device will The array is presented as a heatmap: the horizontal axis represents frequency (PRB index), the vertical axis represents time (showing the average value over the last 10 seconds), and the color depth indicates the interference intensity. Maintenance personnel can quickly determine the type of interference by observing whether "peaks" (narrowband) or "overall rises" (broadband) appear on the heatmap. If it is narrowband interference, it is recommended to use a spectrum analyzer to locate the illegally installed equipment along the direction of the interference frequency; if it is broadband interference, it is recommended to check the intermodulation parameters of the repeater or RRU.

[0059] Understandably, traditional receivers can only measure wideband RSSI, cannot distinguish between narrowband and wideband interference, and cannot locate the PRB (Programmable Block Buffer) where the interference is located. This embodiment, however, significantly improves uplink interference detection efficiency through PRB-level fine scanning and feature discrimination.

[0060] Specifically, in step S3, the device listens to the DCI sent by the base station and parses the UL Grant (Uplink Scheduling Authorization), MCS (Modulation and Coding Strategy) index, and TPC (Transmit Power Control) command for the target user (or a terminal simulated by the device itself). The TPC command is cumulative, with a value of "+1" indicating an increase of 1dB in transmit power, "-1" indicating a decrease of 1dB, and "0" indicating no change. Specifically, the device obtains the TPC command by parsing DCI format 0 (LTE) or DCI format 0_0 / 0_1 (NR). The TPC command is typically 2 bits, mapped to step values ​​(e.g., -1, 0, +1, +3). The device records the cumulative TPC value received each time, initially set to 0. Simultaneously, it parses the MCS field (5 bits, range 0-31) in the UL Grant. The MCS corresponds to the modulation order and code rate; a higher MCS indicates that the base station considers the uplink channel quality to be better and schedules a higher rate.

[0061] The device simultaneously acquires the terminal's PHR (Power Headroom Report). If the device itself acts as a detection terminal, it can directly read the PHR from the MAC layer. If it is monitoring other terminals (UEs), it can obtain the PHR by parsing the uplink transmitted PHR MAC CE (the UE's temporary C-RNTI needs to be known). To simplify implementation, in this embodiment, the device itself simulates a terminal to initiate the test, thus it can directly acquire the PHR.

[0062] The decision logic is as follows:

[0063] Condition 1: Within N consecutive uplink scheduling opportunities, the cumulative power adjustment value of the TPC command exceeds the preset upward adjustment threshold. In this embodiment, N is 10, and the preset upward adjustment threshold is +5dB, that is, within 10 consecutive uplink scheduling opportunities, the cumulative value of the TPC command is > +5dB (indicating that the base station continuously requests the terminal to increase the transmit power).

[0064] Condition 2: The power margin reported by the terminal is less than or equal to a preset margin threshold. In this embodiment, the preset margin threshold is 0dB, i.e., PHR≤0dB, indicating that the terminal has reached its maximum transmit power.

[0065] Condition 3: The uplink modulation and coding strategy index allocated by the base station is consistently lower than the preset modulation and coding strategy threshold. In this embodiment, the preset modulation and coding strategy threshold is 5, that is, the average uplink MCS < 5 (corresponding to QPSK modulation, low code rate).

[0066] When all three conditions above are met, the device determines that "uplink is limited". Further, combined with the RIP measurement in step S2: if the RIP spectrum shows that the overall interference level is higher than the second interference threshold, it is determined that "uplink interference is limited"; if the RIP spectrum noise floor is normal, it is determined that "uplink hardware failure or excessive path loss" (e.g., insufficient repeater gain).

[0067] In this embodiment, the second interference threshold specifically adopts the broadband interference determination criterion, that is, more than 80% of the PRBs meet the criteria. At this point, the overall interference level is determined to be too high, indicating uplink interference limitation. If the RIP spectral noise floor is normal (i.e., most PRBs...), then... near If the error message indicates an uplink hardware failure or excessive path loss, it can be determined that the problem lies with the wireless environment or the equipment. This diagnostic result helps maintenance personnel quickly distinguish between wireless environment issues and equipment problems.

[0068] Understandably, this situation is common in indoor distributed antenna systems due to insufficient optical power in the fiber optic repeater, excessively low uplink gain settings, or RRU uplink channel failure. In this case, the downlink RSRP may appear normal (because the downlink is independent), but users will be unable to upload files or experience video call stuttering. This embodiment uses bypass signaling parsing to infer uplink problems without interacting with the base station, filling a gap in existing detection methods.

[0069] In a preferred embodiment of this method, the method further includes step S4: performing proactive service testing and automated operation and maintenance during a preset low call traffic period.

[0070] Specifically, the device has a built-in RTC (Real-Time Clock) and timer, configured to start inspections daily between 02:00 and 05:00. To avoid impacting normal users, the device checks the current cell load before starting: it estimates the number of RRC connected users by parsing the SIB or listening to the DCI of the PDCCH (this can be indirectly estimated by listening to random access responses or through paging messages broadcast by the base station). If the number of users is higher than a preset threshold (e.g., 20), it postpones the attempt for 30 minutes.

[0071] like Figure 2 As shown, step S4 specifically includes the following steps:

[0072] Step S41: The device automatically performs cell search and synchronization, selects the cell with the best signal quality for network attachment, and establishes a packet data network connection.

[0073] For example, the device scans all supported frequency points and selects the cell with the strongest RSRP (or locks a cell for a specific PLMN according to the configuration) for synchronization. The device initiates an Attach Request, completes authentication (requires pre-configuration of a test SIM card or the use of a virtual card number), and establishes a default EPS bearer or PDU session.

[0074] Step S42: Perform a Ping test by continuously sending a predetermined number of Internet Packet Explorer packets and measuring round-trip latency and packet loss rate.

[0075] For example, you can continuously send 100 ICMP Echo requests (32 bytes each) to a public DNS server (such as 8.8.8.8), with a 1-second interval. Calculate the average RTT, minimum / maximum RTT, and packet loss rate.

[0076] Step S43: Perform upload and download tests using File Transfer Protocol or Hypertext Transfer Protocol, and record the application layer throughput.

[0077] For example, you can connect to a preset FTP server, download a 10MB file (without writing it to disk, discarding it directly), and record the average download speed; upload a 5MB random data file and record the average upload speed. You can also use an HTTP GET request to request a small text file (e.g., 100KB) to measure the initial packet latency and the total download latency; and use an HTTP POST request to upload simulated data and measure the upload latency.

[0078] Step S44: During the test, physical layer indicators are collected synchronously. The physical layer indicators include reference signal received power, signal-to-noise ratio, rank indicator distribution, physical resource block level received interference power, uplink modulation and coding strategy index, and power control command accumulation value.

[0079] Step S45: Perform correlation analysis between the business layer test results and the physical layer indicators, generate a test report (nighttime health inspection report), and upload it to the network management center.

[0080] Specifically, the aforementioned service layer metrics are aligned with physical layer metrics (RSRP, SINR, RI statistics, RIP, TPC accumulation, average MCS, etc.) by time. For example, if a Ping latency suddenly increases and a narrowband spike is observed in the RIP spectrum at that moment, it is associated with "interference-induced". The report includes: test time, cell information, values ​​for each test item, fault inference (if any), and recommended measures (e.g., "Uplink narrowband interference detected, recommended scanning frequency xxx MHz"). After the report is uploaded, the device performs Detach and enters low-power standby mode, waiting for the next timed trigger.

[0081] The multi-dimensional mobile wireless signal detection and monitoring device proposed in this embodiment of the invention specifically includes the following functional modules:

[0082] The downlink quality assessment module is used to parse the downlink control channel to extract the rank indication, and determine the multiple input multiple output transmission conditions based on the statistical distribution of the rank indication, and identify hidden faults where the signal strength meets the standard but dual-stream transmission is not possible.

[0083] The uplink interference scanning module is used to collect uplink frequency band signals, calculate the received interference power on each physical resource block, and distinguish between narrowband interference and broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level.

[0084] The uplink parsing module is used to parse the downlink control information sent by the base station, extract the uplink modulation and coding strategy index and power control command, and infer the uplink quality based on the correlation between the cumulative value of the power control command and the current modulation and coding strategy level.

[0085] The inspection module is used to perform proactive business testing and automated operation and maintenance during preset low call traffic periods.

[0086] The modules mentioned above share data through message queues and can be deployed on an embedded device (such as custom hardware based on ARM+FPGA), or some functions can be deployed on a cloud server.

[0087] See Figure 3 The present invention also provides an electronic device and a computer-readable storage medium.

[0088] like Figure 3The diagram illustrates an electronic device according to an embodiment of the present invention. This electronic device includes a processor 11, a memory 12, and a computer program stored in the memory and executable on the processor 11. When the processor 11 executes the computer program, it implements the steps described in the embodiment of the multi-dimensional mobile wireless signal detection and monitoring method. Alternatively, when the processor 11 executes the computer program, it implements the functions of each module / unit in the various device embodiments described above.

[0089] For example, the computer program may be divided into one or more modules / units, which are stored in the memory and executed by the processor 11 to complete the present invention. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the electronic device.

[0090] The electronic device may include, but is not limited to, a processor and a memory. Those skilled in the art will understand that the schematic diagram is merely an example of an electronic device and does not constitute a limitation on the electronic device. It may include more or fewer components than illustrated, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.

[0091] The processor 11 may be a Central Processing Unit (CPU), or 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. The general-purpose processor may be a microprocessor or any conventional processor. The processor is the control center of the electronic device, connecting various parts of the electronic device through various interfaces and lines.

[0092] The memory 12 can be used to store the computer programs and / or modules. The processor implements various functions of the electronic device by running or executing the computer programs and / or modules stored in the memory and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system 121, at least one application program 122 required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0093] Wherein, if the modules / units integrated in the electronic device are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0094] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0095] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

Claims

1. A method for detecting and monitoring multi-dimensional mobile wireless signals, characterized in that, Includes the following steps: The downlink signal is demodulated to obtain serving cell information, and the downlink control channel is parsed to extract the rank indication; Based on the statistical distribution of the rank indication, determine whether the current channel meets the multiple-input multiple-output transmission conditions, and identify hidden faults where the signal strength meets the standard but dual-stream transmission is not possible.

2. The method for detecting and monitoring multi-dimensional mobile wireless signals according to claim 1, characterized in that, The method further includes the following steps: The system collects uplink frequency band signals, calculates the received interference power on each physical resource block, and distinguishes between narrowband interference and broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level.

3. The method for detecting and monitoring multi-dimensional mobile wireless signals according to claim 1, characterized in that, The method further includes the following steps: parsing the downlink control information sent by the base station, extracting the uplink modulation and coding strategy index and power control command, and inferring the uplink quality based on the correlation between the cumulative value of the power control command and the current modulation and coding strategy level.

4. The method for detecting and monitoring multi-dimensional mobile wireless signals according to claim 1, characterized in that, The specific methods for determining whether the current channel meets the multiple-input multiple-output transmission conditions based on the statistical distribution of the rank indication, and for identifying latent faults where the signal strength meets the requirements but dual-stream transmission is not possible, include: Set a sliding time window, count the number of sampling points with rank indicator equal to 1 and the number of sampling points with rank indicator equal to 2 within the window, and calculate the dual-stream ratio, where the dual-stream ratio is equal to the number of sampling points with rank indicator equal to 2 divided by the sum of the number of sampling points with rank indicator equal to 1 and the number of sampling points with rank indicator equal to 2; when the reference signal received power is detected to be higher than the first power threshold and the signal-to-noise ratio is higher than the first signal-to-noise ratio threshold, but the dual-stream ratio is continuously lower than the preset ratio threshold and the duration exceeds the preset duration threshold, it is determined to be a hidden multi-input multi-output fault.

5. The method for detecting and monitoring multi-dimensional mobile wireless signals according to claim 2, characterized in that, The specific method for distinguishing narrowband interference from broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level includes: Calculate the average interference level and noise floor reference value across the entire bandwidth; if there are k consecutive physical resource blocks that satisfy the condition that the received interference power on the physical resource block is greater than the sum of the noise floor reference value and the first increment, and the proportion of these physical resource blocks to the total number of physical resource blocks is less than the first proportion threshold, then it is determined to be narrowband interference, and the center frequency and bandwidth of the interference are recorded; if physical resource blocks exceeding the second proportion threshold satisfy the condition that the received interference power on the physical resource block is greater than the sum of the noise floor reference value and the second increment, then it is determined to be wideband interference; wherein, the first increment and the second increment are preset interference increment thresholds, and the first increment is greater than the second increment.

6. The method for detecting and monitoring multi-dimensional mobile wireless signals according to claim 3, characterized in that, The specific method for inferring uplink quality based on the correlation between the accumulated value of power control commands and the current modulation and coding scheme level includes: The uplink scheduling authorization for the target terminal in the downlink control information is parsed, the power control command is extracted and the cumulative power adjustment value is calculated; if the cumulative power adjustment value exceeds the preset uplink threshold within N consecutive uplink scheduling opportunities, and the power margin reported by the terminal is less than or equal to the preset margin threshold, and the uplink modulation and coding strategy index allocated by the base station is continuously lower than the preset modulation and coding strategy threshold, then it is determined that the uplink has high loss or uplink interference is limited. Based on the physical resource block-level received interference power scan results: if the received interference power spectrum shows that the overall interference level is higher than the second interference threshold, it is determined that the uplink interference is limited; if the received interference power spectrum noise floor is normal, it is determined that the uplink hardware is faulty or the path loss is too large.

7. A method for detecting and monitoring multi-dimensional mobile wireless signals according to any one of claims 1-6, characterized in that, The method also includes performing proactive service testing and automated operation and maintenance steps during preset low-traffic periods: Perform cell search and synchronization, select the cell with the best signal quality for network attachment, and establish a packet data network connection; A predetermined number of Internet Packet Explorer packets are continuously sent to measure round-trip time and packet loss rate; Perform upload and download tests using File Transfer Protocol or Hypertext Transfer Protocol, and record the application layer throughput; During the test, physical layer metrics are collected synchronously, including reference signal received power, signal-to-noise ratio, rank indication distribution, physical resource block level received interference power, uplink modulation and coding strategy index, and power control command accumulation value. The test results of the business layer are correlated with the physical layer indicators to generate a test report, which is then uploaded to the network management center.

8. A multi-dimensional mobile wireless signal detection and monitoring device, characterized in that, include: The downlink quality assessment module is used to parse the downlink control channel to extract the rank indication, and determine the multiple input multiple output transmission conditions based on the statistical distribution of the rank indication, and identify hidden faults where the signal strength meets the standard but dual-stream transmission is not possible. The uplink interference scanning module is used to collect uplink frequency band signals, calculate the received interference power on each physical resource block, and distinguish between narrowband interference and broadband interference based on the frequency domain characteristics of the received interference power at the physical resource block level. The uplink parsing module is used to parse the downlink control information sent by the base station, extract the uplink modulation and coding strategy index and power control command, and infer the uplink quality based on the correlation between the cumulative value of the power control command and the current modulation and coding strategy level.

9. An electronic device, characterized in that, The method includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the method for detecting and monitoring multi-dimensional mobile wireless signals as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the multi-dimensional mobile wireless signal detection and monitoring method as described in any one of claims 1-7.

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