Method and system for detecting and avoiding interference between WIFI channel and cellular network

Abstract

The invention provides a method and system for detecting and avoiding interference between a WIFI channel and a cellular network, and the method comprises the steps: periodically carrying out the state query of a working mode of the WiFi channel and the cellular network, building an interference mapping relation between a cellular 4G / 5G network frequency band and a WiFi 2.4 G / 5G frequency band, and achieving the dynamic configuration of the WiFi channel and the intelligent adjustment of a frequency hopping range; selecting an interference avoidance mechanism for executing power adjustment or channel switching according to the user configuration state, the frequency hopping mode and the network environment; and based on the difference percentage of the non-interference reference, establishing a difference evaluation model, and performing cross validation on WiFi channel and cellular network signal interference in combination with a multi-dimensional index. According to the invention, WiFi 2.4 G / 5G and cellular 4G / 5G network interference detection and graded avoidance are realized; user manual channel configuration is compatible, and network interruption caused in the interference avoidance process is avoided; the problem of coexistence interference of multimode communication equipment in a complex wireless environment is solved.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and to a method and system for detecting and avoiding interference between Wi-Fi channels and cellular networks. Background Technology

[0002] In scenarios where the Internet of Things (IoT) and mobile communications converge, the frequency band overlap between WiFi (2.4GHz / 5GHz) and cellular networks (4G-LTE / 5G-NR) leads to increasingly significant interference problems, mainly manifested in the following aspects: The 2412-2484MHz frequency band of 2.4G WiFi partially overlaps with the Band 40 (2300-2400MHz), Band 41 (2496-2690MHz), and 5G NR Band 40 / 41 / 90 of cellular networks, which can lead to a decrease in cellular network reception sensitivity. For example, in European CE certification testing, the measured performance deteriorated by more than 3dB, resulting in test failure.

[0003] The 5170-5835MHz band of 5G WiFi is subject to proximity interference with the Band 77 / 78 (3300-4200MHz), Band 79 (4400-5000MHz), and Band 47 (5855-5925MHz) bands of 5G-NR cellular networks, especially when the DFS (Dynamic Frequency Selection) channel is enabled, which can cause a decrease in signal quality.

[0004] Traditional wireless communication systems have the following limitations: The WiFi channel is configured as a fixed channel, lacking dynamic frequency band awareness and unable to adapt to dynamic changes in cellular network frequency bands; The independent design of WiFi and 4G / 5G cellular networks leads to incompatibility and the inability to consider the interference effects between them. Forced frequency hopping disrupts the WiFi channels manually set by the user, lacks user configuration compatibility design, and leads to decreased network stability. The lack of differentiated adaptation to spectrum regulations in different countries / regions (such as my country's DFS channel restrictions and Europe's SRD power restrictions) makes it impossible to meet the wireless certification requirements of major global markets. Summary of the Invention

[0005] Therefore, the purpose of this invention is to propose a method and system for detecting and avoiding interference between WiFi channels and cellular networks. It designs an automatic detection and dynamic avoidance mechanism for interference between WiFi 2.4GHz / 5GHz wireless bands and 4G-LTE / 5G-NR cellular wireless network bands in mobile smart terminal devices. By detecting user configuration status or automatic frequency hopping status, it only performs power adjustment when the user manually configures the channel, avoiding network interruptions caused by forced channel switching. It establishes an interference mapping relationship between cellular 4G / 5G network band frequencies and WiFi 2.4GHz / 5GHz channels, realizing intelligent adjustment of the automatic frequency hopping range. Based on the user configuration status and network environment, it automatically selects the optimal avoidance scheme of power adjustment or channel switching, realizing the detection and hierarchical avoidance of interference between WiFi 2.4GHz / 5GHz wireless bands and cellular 4G / 5G network bands, improving the spectrum utilization of multi-mode communication devices. It is compatible with user manual channel configuration, avoiding network interruptions caused during interference avoidance, solving the problem of unqualified measured indicators, and automatically identifying regions based on WiFi country codes to realize my country's DFS channels (such as 5G). Ch149) differentiates itself from other regions globally, meeting the wireless certification requirements of major global markets (such as EU CE and my country SRRC). This invention provides a method for detecting and avoiding interference between Wi-Fi channels and cellular networks, comprising: Periodically perform working mode status queries for WiFi channels and cellular networks, establish interference mapping relationships between cellular 4G / 5G network band frequencies and WiFi 2.4G / 5G frequency bands, and realize dynamic configuration of WiFi channels and intelligent adjustment of frequency hopping range; Based on the user configuration status, frequency hopping mode, and network environment, select an interference avoidance mechanism to perform power adjustment or channel switching. Based on the percentage difference of the interference-free benchmark, a difference evaluation model is established, and multi-dimensional indicators are combined to cross-validate the interference of WiFi channel and cellular network signal.

[0006] Specifically, when assessing the interference between WiFi channels and cellular network signals, percentage-based quantification is used to avoid misjudgments caused by factors such as the distance to cellular base stations. Furthermore, this invention improves the quantification method for graded assessment, replacing the measured percentage with the percentage difference compared to the interference-free baseline in the interference reference system. This eliminates the problem of low absolute values ​​caused by factors such as distance, environment, and cellular base station frequency bands.

[0007] Since a decrease in a single indicator (such as signal strength) may also be caused by natural attenuation, this invention combines changes in multiple dimensions of indicators such as signal-to-noise ratio, noise ratio, and bit error rate, and uses cross-verification of multiple indicators (signal strength, signal-to-noise ratio, bit error rate, noise ratio, etc.) to form an "evidence chain" for interference determination.

[0008] The noise ratio is a key indicator that distinguishes between "interference" and "attenuation." WiFi interference is always accompanied by an increase in noise power; while natural attenuation mainly affects signal strength, with noise power remaining unchanged. Therefore, the noise ratio is a high-priority indicator.

[0009] The above quantitative model can upgrade WiFi interference assessment from "absolute value judgment" to intelligent assessment of "relative difference + noise characteristics", effectively avoiding misjudgment caused by the natural attenuation of cellular signals.

[0010] Furthermore, the method for establishing a difference evaluation model based on the percentage difference of an interference-free benchmark includes: Periodically (preferably every hour), read the status of devices using WiFi online. If there is no WiFi connection, turn off WiFi and collect various indicators of the cellular network signal (signal strength, signal-to-noise ratio, bit error rate, noise ratio, etc.). Collect again at a set time interval (preferably 2 seconds), for a total of 3 collections, which takes 6 seconds. Calculate the average baseline value of the multiple collections and establish an interference-free baseline value (reference threshold). Periodically collect again after a set time (preferably 1 hour) and calibrate and update the interference-free baseline value in real time. The percentage of interference difference is calculated using the following formula: Interference difference percentage = |Measured value - No interference reference value| / No interference reference value × 100%; The measured values ​​are from indicators in areas suspected of being affected by WiFi interference.

[0011] Furthermore, the method for cross-validating WiFi channel and cellular network signal interference by combining multi-dimensional indicators includes: To verify the correlation between multiple indicators of WiFi interference characteristics, including signal strength, signal-to-noise ratio, noise ratio, and bit error rate or packet error rate, an interference factor weighting model is introduced. Weights are assigned to each of the indicators, and the comprehensive interference index (CI) is calculated using the following formula: CI = 0.3 × signal strength difference % + 0.3 × signal-to-noise ratio difference % + 0.2 × noise ratio difference % + 0.2 × bit error rate difference.

[0012] The normal performance of cellular signals in the absence of WiFi channel interference is determined by using interference-free baseline values, and the signal attenuation caused by "natural attenuation" is distinguished from the signal attenuation caused by "WiFi channel interference".

[0013] The characteristics of WiFi interference are: (1) Signal strength decreases + signal-to-noise ratio decreases + noise ratio increases (the three are positively correlated); (2) The bit error rate / packet error rate increases in tandem with the noise ratio.

[0014] The characteristics of natural decay are: (1) The signal strength decreases, but the signal-to-noise ratio may remain unchanged (noise power does not increase), and the noise ratio does not change significantly; (2) The increase in bit error rate is less than the increase in noise ratio (due to signal energy attenuation but no additional interference noise).

[0015] This invention employs multi-dimensional cross-validation to avoid misjudgments that can easily occur with a single indicator. In one embodiment, the correlation between the calculated indicators includes: a positive correlation between a decrease in signal strength, a decrease in signal-to-noise ratio, and an increase in noise ratio; and a synchronous increase in bit error rate or packet error rate with noise ratio.

[0016] Furthermore, the method for selecting the interference avoidance mechanism to perform power adjustment or channel switching based on user configuration status, frequency hopping mode, and network environment includes: Reduce WiFi transmit power [preferably by 3dB (TxPower)] when the user manually configures the channel, while retaining the user's manual channel configuration; When the automatic frequency hopping mode detects that the WiFi channel overlaps with the cellular network frequency band (such as 2.4G Ch1 and Band 7), the WiFi channel range is dynamically adjusted according to the cellular network frequency band. For cellular network frequency bands Band 7 / 38 / 41, the WiFi channel range is adjusted to 2.4G Ch1-6, and for cellular network frequency bands Band 30 / 40, the WiFi channel range is adjusted to 2.4G Ch7-11. Furthermore, the method for establishing the interference mapping relationship between cellular 4G / 5G network band frequencies and WiFi 2.4G / 5G frequency bands includes: The operating mode status of the WiFi 2.4G band and WiFi 5G band is queried periodically (preferably every 5 seconds); when at least one WiFi band is found to be enabled, the current cellular network connectivity status is queried in real time. Specifically, if both the WiFi 2.4G band and the WiFi 5G band are detected as being disabled, the system will return to wait for the next detection cycle.

[0017] If the cellular network is not connected, return and wait for the next detection cycle; if no valid 4G / 5G network connection mode or band frequency information is found for the cellular network, return and wait for the next detection cycle. When the WiFi 2.4GHz / 5GHz band is detected to be in automatic frequency hopping mode, if the automatic frequency hopping function is not enabled (i.e., the user has manually configured the channel), the WiFi transmit power is reduced (preferably by 3dB), while the channel parameters manually configured by the user remain unchanged; then the system returns to wait for the next detection cycle; if the automatic frequency hopping function is detected to be enabled, the frequency band of the current cellular network is parsed to obtain the frequency point information of the band in the 4G / 5G networking mode of the cellular network.

[0018] Furthermore, the method for dynamically configuring WiFi channels and intelligently adjusting frequency hopping range includes: When the WiFi 5G band or WiFi 2.4G band is detected to be on, the actual operating channel of the WiFi 2.4GHz / 5GHz band is read and automatically hops to the current frequency. For 5G NR cellular networks using Band 77 / 78 / 79, when the WiFi Country Code is for my country, the WiFi 5G channel will be configured as ch149, meaning the automatic frequency hopping range for the WiFi 5G band will be configured to channel Ch149 (DFS channel). When the WiFi Country Code is for other regions, the WiFi 5G channel will be configured as ch112, complying with my country's SRRC restrictions on the use of DFS channels. For 4G LTE cellular networks using Band 47, the automatic frequency hopping range for the WiFi 5G band will be configured to channel Ch 36.

[0019] For cellular network bands 7 / 38 / 41 / 53 / 79 / 90, configure the automatic frequency hopping range of the WiFi 2.4G band to channels ch1-6; for cellular network bands 30 / 40, configure the automatic frequency hopping range of the WiFi 2.4G band to channels ch7-11. Preferably, when the WiFi channel configuration needs to be changed or the frequency hopping range needs to be adjusted, the WiFi communication module is restarted (the WiFi_reload flag is set to 1). This makes the new WiFi channel configuration or frequency hopping range effective.

[0020] Furthermore, the method for detecting and avoiding interference between the WIFI channel and the cellular network also includes: user configuration compatibility protection and regional differentiation adaptation; The method for user configuration compatibility protection includes: detecting the user configuration status or automatic frequency hopping status of the WIFI 2.4G / 5G frequency band; retaining the manually configured channel parameters when the user manually configures the network; performing power adjustment without affecting the user-defined network parameters; and avoiding network interruption caused by forced channel switching.

[0021] The method for regionally differentiated adaptation includes: automatically identifying regions based on WiFi country codes to achieve differentiated configuration of my country's DFS channels (such as 5G Ch149) with other regions globally.

[0022] The present invention also provides a system for detecting and avoiding interference between Wi-Fi channels and cellular networks, for implementing the method for detecting and avoiding interference between Wi-Fi channels and cellular networks as described above, comprising: Dual-network status awareness module: used to periodically query the working mode status of WiFi channel and cellular network, establish the interference mapping relationship between cellular 4G / 5G network band frequency points and WiFi 2.4G / 5G frequency bands, and realize the dynamic configuration of WiFi channel and intelligent adjustment of frequency hopping range; Tiered avoidance strategy module: used to select the interference avoidance mechanism to perform power adjustment or channel switching based on user configuration status, frequency hopping mode and network environment; The graded evaluation module is used to establish a difference evaluation model based on the percentage difference of the interference-free benchmark, and to cross-validate the interference of WiFi channels and cellular network signals by combining multi-dimensional indicators.

[0023] This invention enables interference avoidance in scenarios where mainstream cellular network frequency bands overlap globally, exhibiting strong interference suppression capabilities and reducing the cellular network bit error rate to below 0.1%. In automatic frequency hopping mode, channel switching latency is <500ms, and in manual configuration mode, there are zero interruptions, optimizing the user experience. It pre-integrates spectrum regulation databases from 32 countries / regions, supporting OTA dynamic updates to ensure global compliance. Having passed operator certification testing, it resolves the issue of failed 5G / 4G receiver sensitivity testing during the European CE certification process.

[0024] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of the method for detecting and avoiding interference between WIFI channels and cellular networks as described above.

[0025] The present invention also provides a computer device, the computer device including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements the steps of the method for detecting and avoiding interference between WIFI channels and cellular networks as described above.

[0026] Compared with the prior art, the beneficial effects of the present invention are as follows: The method and system for detecting and avoiding interference between Wi-Fi channels and cellular networks provided by this invention designs an automatic detection and dynamic avoidance mechanism for interference between the Wi-Fi 2.4GHz / 5GHz wireless frequency band and the 4G-LTE / 5G-NR cellular wireless network frequency band applied to mobile smart terminal devices. By detecting the user configuration status or automatic frequency hopping status, it only performs power adjustment when the user manually configures the channel, avoiding network interruptions caused by forced channel switching; it establishes an interference mapping relationship between cellular 4G / 5G network band frequencies and Wi-Fi 2.4GHz / 5GHz channels, realizing intelligent adjustment of the automatic frequency hopping range; and it automatically identifies regions based on the Wi-Fi country code, realizing the DFS channel (such as 5G) in my country. Ch149) differentiates configuration from other regions globally; automatically selects the optimal avoidance scheme of power adjustment or channel switching based on user configuration status and network environment; achieves fully automatic detection and hierarchical avoidance of interference between WiFi 2.4GHz / 5GHz wireless bands and cellular 4G / 5G network bands, improving the spectrum utilization of multi-mode communication devices; is compatible with manual channel configuration by users, avoiding network interruptions caused during interference avoidance; is particularly suitable for solving the coexistence interference problem of multi-mode communication devices in complex wireless environments, effectively solving the problem of unqualified measured indicators, meeting the wireless certification requirements of major global markets (such as EU CE, my country SRRC), has good applicability, and has broad prospects for promotion and application. Attached Figure Description

[0027] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention.

[0028] In the attached diagram: Figure 1 This is a step diagram illustrating a method for detecting and avoiding interference between a Wi-Fi channel and a cellular network, according to an embodiment of the present invention. Figure 2This is a schematic diagram illustrating the process of detecting and avoiding interference between the WIFI channel and the cellular network according to an embodiment of the present invention. Figure 3 This is a schematic diagram of the configuration of a computer device according to an embodiment of the present invention. Detailed Implementation

[0029] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and products consistent with some aspects of this disclosure as detailed in the appended claims.

[0030] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0031] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0032] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0033] This invention provides a method for detecting and avoiding interference between Wi-Fi channels and cellular networks. (See also...) Figure 1 As shown, it includes the following steps: S1. Periodically perform queries on the working mode status of WiFi channels and cellular networks to establish the interference mapping relationship between cellular 4G / 5G network band frequencies and WiFi 2.4G / 5G frequency bands, as shown in Table 1: Table 1. Cellular 4G / 5G frequency bands experiencing interference from the coexistence of WiFi 2.4G / 5G frequency bands.

[0034] The bolded areas in Table 1 represent the overlap and interference zones between the WiFi 2.4G / 5G band and the cellular 4G / 5G band.

[0035] The system periodically checks the operating mode status of the WiFi 2.4G and WiFi 5G bands every 5 seconds. When at least one WiFi band is found to be active, it checks the current cellular network connectivity status in real time. If both WiFi 2.4G and WiFi 5G bands are found to be inactive, the system returns to wait for the next check cycle. If no cellular network is found, the system returns to wait for the next check cycle. If no valid 4G / 5G network connectivity mode or band information is found, the system returns to wait for the next check cycle. When the WiFi 2.4GHz / 5GHz band is detected to be in automatic frequency hopping mode, if the automatic frequency hopping function is not enabled (i.e., the user has manually configured the channel), the WiFi transmit power is reduced by 3dB, while the channel parameters manually configured by the user remain unchanged; then the system returns to wait for the next detection cycle; if the automatic frequency hopping function is detected to be enabled, the current cellular network frequency band is parsed to obtain the frequency point information of the band in the cellular network 4G / 5G networking mode.

[0036] When WiFi 5G or WiFi 2.4G is detected to be enabled, the actual operating channel of WiFi 2.4GHz / 5GHz is read and automatically hops to the current frequency. For 5G NR cellular networks with bands 77 / 78 / 79, when the WiFi Country Code is for my country, the WiFi 5G channel is configured as ch149, meaning the automatic frequency hopping range for the WiFi 5G band is configured as channel Ch149 (DFS channel). When the WiFi Country Code is for other regions, the WiFi 5G channel is configured as ch112. For 4G LTE cellular networks with band 47, the automatic frequency hopping range for the WiFi 5G band is configured as channel Ch36, as shown in Table 2.

[0037] Table 2 5G WiFi Interference Avoidance Channel Configuration

[0038] For cellular network bands 7 / 38 / 41 / 53 / 79 / 90, configure the automatic frequency hopping range of the WiFi 2.4G band to channels ch1-6; for cellular network bands 30 / 40, configure the automatic frequency hopping range of the WiFi 2.4G band to channels ch7-11, as shown in Table 3. Table 32. 4G WiFi Interference Avoidance Channel Configuration

[0039] When the WiFi channel configuration needs to be changed or the frequency hopping range needs to be adjusted, the WiFi communication module is triggered to restart (the WiFi_reload flag is set to 1), so that the new WiFi channel configuration or frequency hopping range takes effect, realizing the dynamic configuration of WiFi channels and the intelligent adjustment of frequency hopping range; S2. Select an interference avoidance mechanism to perform power adjustment or channel switching based on user configuration status, frequency hopping mode and network environment; When the user manually configures the channel, reduce the WiFi transmission power [preferably by 3dB (TxPower)], and retain the user's manual channel configuration; when the automatic frequency hopping mode detects that the WiFi channel overlaps with the cellular network frequency band (such as 2.4G Ch1 and Band 7), dynamically adjust the WiFi channel range according to the cellular network frequency band. For cellular network frequency bands Band 7 / 38 / 41, adjust the WiFi channel range to 2.4G Ch1-6; for cellular network frequency bands Band 30 / 40, adjust the WiFi channel range to 2.4G Ch7-11. S3. Based on the percentage difference of the interference-free benchmark, establish a difference evaluation model and combine multi-dimensional indicators to cross-validate the interference between WiFi channel and cellular network signal. Every hour, the status of devices using WiFi online is read. If there is no WiFi connection, WiFi is turned off. Various indicators of cellular network signal are collected. The data is collected again every 2 seconds for a total of 3 times, which takes 6 seconds. The average baseline value of the multiple collections is calculated to establish an interference-free baseline value. The data is collected again periodically after 1 hour, and the interference-free baseline value is calibrated and updated in real time. Real-time spectrum scanning to acquire cellular network environment data, including: signal strength RSSI, signal quality RSRQ, signal-to-noise ratio SNR, bit error rate BER, packet loss rate PER, and link quality index LQI; In this embodiment, cellular signals were collected when WiFi devices were turned off (no WiFi hotspot), and the following parameters were recorded: Ref_RSRP = -50dBm, Ref_SNR = 25dB, Ref_BER = 3%, and Ref_Noise = -95dBm. The measured signal strength in the target area was RSRP = -65dBm, SNR = 15dB, BER = 5%, and noise ratio = -85dBm (noise ratio increased by 10dB). The normal performance of the cellular network signal in the absence of WiFi channel interference was determined using interference-free baseline values, distinguishing between signal attenuation caused by "natural decay" and signal attenuation caused by "WiFi channel interference."

[0040] Real-time acquisition of WiFi 2.4G / 5G frequency band data, including: signal strength RSSI-A, RSSI-B (two sets for 2.4G / 5G respectively), packet loss rate PER of transmit (TX) and receive (RX), and antenna noise intensity.

[0041] The percentage of interference difference is calculated using the following formula: Interference difference percentage = |Measured value - No interference reference value| / No interference reference value × 100%; The measured values ​​are from indicators in areas suspected of being affected by WiFi interference.

[0042] In this embodiment, the interference-free reference signal-to-noise ratio Ref_SNR = 25dB, and the measured signal-to-noise ratio SNR = 15dB. Therefore, the percentage of interference difference = |15-25| / 25×100% = 40%. The difference is calculated as follows: RSRP difference = |-65+50| / 50×100%=30%; SNR difference = |15-25| / 25×100%=40%; BER difference = |3%-5%|×100%=2%; The noise ratio difference = (85dBm-95dBm) / 95dBm×100%≈10.5% (the noise ratio increases, so a positive value is taken); since the noise ratio difference during natural decay is usually <5%, it is judged as non-natural decay.

[0043] To verify the correlation between multiple indicators of WiFi interference characteristics, including signal strength, signal-to-noise ratio, noise ratio, and bit error rate or packet error rate, an interference factor weighting model is introduced. Weights are assigned to each indicator, and the comprehensive interference index (CI) is calculated using the following formula: CI = 0.3 × signal strength difference % + 0.3 × signal-to-noise ratio difference % + 0.2 × noise ratio difference % + 0.2 × bit error rate difference.

[0044] In this embodiment, CI = 0.3×30% + 0.3×40% + 0.2×2% + 0.2×10.5% ≈ 23.5%, which is determined to be a mild interference (CI = 20%-30%).

[0045] Multi-dimensional cross-validation is employed to avoid misjudgments that can easily occur with a single indicator. In one embodiment, the correlation between the calculated indicators includes: a positive correlation between a decrease in signal strength, a decrease in signal-to-noise ratio, and an increase in noise ratio; and a synchronous increase in bit error rate or packet error rate with noise ratio.

[0046] The grading and evaluation quantification method in this embodiment does not directly grade based on the measured percentage. Instead, it uses the percentage difference between the measured absolute percentage and the interference-free baseline of the interference reference system to replace the measured absolute percentage, thereby eliminating the problem of low absolute values ​​caused by factors such as distance, environment, and cellular base station frequency band.

[0047] The grading criteria for the graded assessment (as shown in Table 4) are as follows: Mild interference: Overall interference index (CI) = 20%-30%; Moderate interference: Overall interference index (CI) = 50%-80%; Severe interference: Overall interference index (CI) > 80%; Since a decrease in a single indicator (such as signal strength) can also be caused by natural attenuation, this embodiment combines changes in multiple dimensions of indicators such as signal-to-noise ratio (SNR), noise ratio, and bit error rate (BER). It employs cross-validation of multiple indicators (signal strength, SNR, BER, noise ratio, etc.) to form a "chain of evidence" for interference determination. The noise ratio is a key indicator distinguishing between "interference" and "attenuation." WiFi interference is inevitably accompanied by an increase in noise power; while natural attenuation mainly affects signal strength, with noise power remaining constant. Therefore, the noise ratio is given high priority. Through a quantitative model, WiFi interference assessment is upgraded from "absolute numerical judgment" to intelligent assessment based on "relative difference + noise characteristics," avoiding misjudgments caused by the natural attenuation of cellular signals.

[0048] Table 4. Quantitative Optimization of Grading Evaluation Criteria (Based on Percentage Difference)

[0049] This embodiment employs the following tiered avoidance strategy (as shown in Table 5): Level 1 (Mild Interference): By changing the Register value of the underlying driver register of the WiFi device to moderately reduce the transmission power of the WiFi device (often by reducing it by 3dB initially), an attempt can be made to reduce the impact of interference.

[0050] Level 2 (Moderate Interference): Initiate WiFi channel switching (WiFi Background Scan) to select the available channel with the least interference and the best channel quality to reduce co-channel and adjacent channel interference in the cellular network.

[0051] Level 3 (Severe Interference): Initiate cellular network rescanning, select the available cellular network cell (CellID) with the least interference and best channel quality, and establish a dial-up connection.

[0052] It continuously monitors changes in the network environment and signal quality, and reports them to a remote server. The server then adjusts and optimizes parameters based on the current hierarchical avoidance strategy, and can also change the network band frequency and cell lock.

[0053] Table 5. Tiered Avoidance Strategies

[0054] To ensure the applicability of this method for detecting and avoiding interference between WiFi channels and cellular networks, this embodiment employs user configuration compatibility protection and regional differentiation adaptation. It detects the user configuration status or automatic frequency hopping status of the WiFi 2.4G / 5G bands. When the user manually configures the channel, the manually configured channel parameters are retained, without affecting user-defined network parameters; only power adjustments are performed to avoid forced channel switching and network interruptions. Based on the WiFi Country Code, it automatically identifies regions, enabling differentiated configuration of my country's DFS channels (such as 5G Ch149) compared to other regions globally.

[0055] The geographical restrictions for the WiFi 2.4G band are as follows: Ch1-2 is prohibited in the Israeli market, and the forced frequency hopping range is Ch3-9, as shown in Table 6.

[0056] Table 62.4G Channel Geographic Restrictions

[0057] The geographical restrictions of WiFi 5G band channels are shown in Table 7.

[0058] Table 7.5G Channel Geographic Configuration

[0059] Figure 2The process flow for detecting and avoiding interference from WIFI channels and cellular networks in this embodiment is shown.

[0060] The power limits for WiFi 5G bands are as follows: In European SRD areas (such as Ch149), WiFi transmission power is limited to ≤25mW, and compliance is achieved through dynamic power reduction.

[0061] This invention also provides a system for detecting and avoiding interference between Wi-Fi channels and cellular networks, used to implement the method described above for detecting and avoiding interference between Wi-Fi channels and cellular networks, including: Dual-network status awareness module: used to periodically query the working mode status of WiFi channel and cellular network, establish the interference mapping relationship between cellular 4G / 5G network band frequency points and WiFi 2.4G / 5G frequency bands, and realize the dynamic configuration of WiFi channel and intelligent adjustment of frequency hopping range; Tiered avoidance strategy module: used to select the interference avoidance mechanism to perform power adjustment or channel switching based on user configuration status, frequency hopping mode and network environment; The graded evaluation module is used to establish a difference evaluation model based on the percentage difference of the interference-free benchmark, and to cross-validate the interference of WiFi channels and cellular network signals by combining multi-dimensional indicators.

[0062] This embodiment of the method and system for detecting and avoiding interference between Wi-Fi channels and cellular networks designs an automatic detection and dynamic avoidance mechanism for interference between the Wi-Fi 2.4GHz / 5GHz wireless frequency band and the 4G-LTE / 5G-NR cellular wireless network frequency band applied to mobile smart terminal devices. By detecting user configuration status or automatic frequency hopping status, it only performs power adjustment when the user manually configures the channel, avoiding network interruptions caused by forced channel switching; it establishes an interference mapping relationship between cellular 4G / 5G network band frequencies and Wi-Fi 2.4GHz / 5GHz channels, realizing intelligent adjustment of the automatic frequency hopping range; and it automatically identifies regions based on the Wi-Fi country code, realizing the DFS channel (such as 5G) in my country. Ch149) differentiates configuration from other regions globally; automatically selects the optimal avoidance scheme of power adjustment or channel switching based on user configuration status and network environment; realizes the detection and graded avoidance of interference between WiFi 2.4GHz / 5GHz wireless frequency band and cellular 4G / 5G network frequency band, improving the spectrum utilization of multi-mode communication devices; compatible with user manual channel configuration, avoiding network interruption caused by interference avoidance process; especially suitable for solving the coexistence interference problem of multi-mode communication devices in complex wireless environments, solving the problem of unqualified measured indicators, and meeting the wireless certification requirements of major global markets (such as EU CE, my country SRRC).

[0063] This invention also provides a computer device. Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention; see the accompanying drawings. Figure 3 As shown, the computer device includes: an input device 23, an output device 24, a memory 22, and a processor 21; the memory 22 is used to store one or more programs; when the one or more programs are executed by the one or more processors 21, the one or more processors 21 implement the method for detecting and avoiding interference between WIFI channels and cellular networks as provided in the above embodiments; wherein the input device 23, the output device 24, the memory 22, and the processor 21 can be connected via a bus or other means. Figure 3 Taking the example of a connection between China and Israel via a bus.

[0064] The memory 22, as a read / write storage medium for a computing device, can be used to store software programs and computer-executable programs, such as the program instructions corresponding to the method for detecting and avoiding interference between WIFI channels and cellular networks as described in this embodiment of the invention. The memory 22 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created based on the use of the device. Furthermore, the memory 22 may include high-speed random access memory and non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 22 may further include memory remotely located relative to the processor 21, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0065] Input device 23 can be used to receive input digital or character information, and generate key signal inputs related to user settings and function control of the device; output device 24 may include display devices such as a display screen.

[0066] The processor 21 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 22, thereby realizing the above-mentioned method of detecting and avoiding interference from WIFI channels and cellular networks.

[0067] The computer equipment provided above can be used to execute the method for detecting and avoiding interference between WIFI channels and cellular networks provided in the above embodiments, and has corresponding functions and beneficial effects.

[0068] This invention also provides a storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the method for detecting and avoiding interference between Wi-Fi channels and cellular networks as provided in the above embodiments. The storage medium can be any type of memory device or storage device, including: mounting media such as CD-ROM, floppy disk, or magnetic tape; computer system memory or random access memory such as DRAM, DDRRAM, SRAM, EDORAM, Rambus RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory components; the storage medium may also include other types of memory or combinations thereof; furthermore, the storage medium may reside in a first computer system in which the program is executed, or it may reside in a different second computer system connected to the first computer system via a network (such as the Internet); the second computer system can provide program instructions to the first computer for execution. The storage medium includes two or more storage media that may reside in different locations (e.g., in different computer systems connected via a network). The storage medium may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0069] Of course, the computer-executable instructions provided in the embodiments of the present invention are not limited to the method for detecting and avoiding interference between WIFI channels and cellular networks as described in the above embodiments, but can also perform related operations in the method for detecting and avoiding interference between WIFI channels and cellular networks provided in any embodiment of the present invention.

[0070] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

[0071] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for detecting and avoiding interference between Wi-Fi channels and cellular networks, characterized in that, include: Periodically perform working mode status queries for WiFi channels and cellular networks, establish interference mapping relationships between cellular 4G / 5G network band frequencies and WiFi 2.4G / 5G frequency bands, and realize dynamic configuration of WiFi channels and intelligent adjustment of frequency hopping range; Based on the user configuration status, frequency hopping mode, and network environment, select an interference avoidance mechanism to perform power adjustment or channel switching. Based on the percentage difference of the interference-free benchmark, a difference evaluation model is established, and multi-dimensional indicators are combined to cross-validate the interference of WiFi channel and cellular network signal.

2. The method for detecting and avoiding interference between WIFI channels and cellular networks according to claim 1, characterized in that, The method for establishing a difference evaluation model based on the percentage difference of an interference-free benchmark includes: The status of devices using WiFi online is read periodically. If there is no WiFi connection, WiFi is turned off. Various indicators of cellular network signal are collected, and the data is collected again at set intervals. The average baseline value of multiple collections is calculated to establish an interference-free baseline value. The data is collected again periodically after the set time, and the interference-free baseline value is calibrated and updated in real time. The percentage of interference difference is calculated using the following formula: Interference difference percentage = |Measured value - No interference reference value| / No interference reference value × 100%; The measured values ​​are from indicators in areas suspected of being affected by WiFi interference.

3. The method for detecting and avoiding interference between WIFI channels and cellular networks according to claim 2, characterized in that, The method for cross-validating WiFi channel and cellular network signal interference by combining multi-dimensional indicators includes: To verify the correlation between multiple indicators of WiFi interference characteristics, including signal strength, signal-to-noise ratio, noise ratio, and bit error rate or packet error rate, an interference factor weighting model is introduced. Weights are assigned to each of the indicators, and the comprehensive interference index (CI) is calculated using the following formula: CI = 0.3 × signal strength difference % + 0.3 × signal-to-noise ratio difference % + 0.2 × noise ratio difference % + 0.2 × bit error rate difference.

4. The method for detecting and avoiding interference between WIFI channels and cellular networks according to claim 1, characterized in that, The method for selecting the interference avoidance mechanism to perform power adjustment or channel switching based on user configuration status, frequency hopping mode, and network environment includes: When the user manually configures the channel, reduce the WiFi transmission power and retain the user's manual channel configuration; In automatic frequency hopping mode, the overlap between the WiFi channel and the cellular network frequency band is detected, and the WiFi channel range is dynamically adjusted according to the cellular network frequency band. For cellular network frequency bands Band 7 / 38 / 41, the WiFi channel range is adjusted to 2.4G Ch1-6, and for cellular network frequency bands Band 30 / 40, the WiFi channel range is adjusted to 2.4G Ch7-11.

5. The method for detecting and avoiding interference between WIFI channels and cellular networks according to claim 1, characterized in that, The method for establishing the interference mapping relationship between cellular 4G / 5G network band frequencies and WiFi 2.4G / 5G frequency bands includes: The system periodically queries the operating mode status of the WiFi 2.4GHz and WiFi 5GHz bands. When at least one WiFi band is found to be active, it performs a real-time query of the current cellular network's connectivity status. If the WiFi 2.4GHz / 5GHz bands are detected to be in automatic frequency hopping mode, and the automatic frequency hopping function is not enabled, the WiFi transmit power is reduced while the user-configured channel parameters remain unchanged. If the automatic frequency hopping function is detected to be enabled, the system performs frequency band parsing of the current cellular network to obtain the band frequency information of the cellular network in 4G / 5G connectivity mode.

6. The method for detecting and avoiding interference between WIFI channels and cellular networks according to claim 1, characterized in that, The method for dynamically configuring WiFi channels and intelligently adjusting frequency hopping range includes: When the WiFi 5G band or WiFi 2.4G band is detected to be on, the actual operating channel of the WiFi 2.4GHz / 5GHz band is read and automatically hops to the current frequency. For 5G NR cellular networks with bands 77 / 78 / 79, the automatic frequency hopping range for WiFi 5G is configured as channel Ch149 in my country and as channel Ch112 in other regions; for 4G LTE cellular networks with bands 47, the automatic frequency hopping range for WiFi 5G is configured as channel Ch36. For cellular network bands 7 / 38 / 41 / 53 / 79 / 90, configure the automatic frequency hopping range of the WiFi 2.4G band to channels ch1-6; for cellular network bands 30 / 40, configure the automatic frequency hopping range of the WiFi 2.4G band to channels ch7-11.

7. The method for detecting and avoiding interference between WIFI channels and cellular networks according to claim 1, characterized in that, Also includes: User configuration compatibility protection and regional difference adaptation; The user configuration compatibility protection method includes: detecting the user configuration status or automatic frequency hopping status of the WIFI 2.4G / 5G frequency band, retaining the manually configured channel parameters when the user manually configures, and performing power adjustment; The method for regionally differentiated adaptation includes: automatically identifying regions based on WiFi country codes to achieve differentiated configuration of my country's DFS channels compared to other regions globally.

8. A system for detecting and avoiding interference between a Wi-Fi channel and a cellular network, used to implement the method for detecting and avoiding interference between a Wi-Fi channel and a cellular network as described in any one of claims 1-7, characterized in that, include: Dual-network status awareness module: used to periodically query the working mode status of WiFi channel and cellular network, establish the interference mapping relationship between cellular 4G / 5G network band frequency points and WiFi 2.4G / 5G frequency bands, and realize the dynamic configuration of WiFi channel and intelligent adjustment of frequency hopping range; Tiered avoidance strategy module: used to select the interference avoidance mechanism to perform power adjustment or channel switching based on user configuration status, frequency hopping mode and network environment; The graded evaluation module is used to establish a difference evaluation model based on the percentage difference of the interference-free benchmark, and to cross-validate the interference of WiFi channels and cellular network signals by combining multi-dimensional indicators.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method for detecting and avoiding interference between WIFI channels and cellular networks as described in any one of claims 1-7.

10. A computer device, the computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method for detecting and avoiding interference between WIFI channels and cellular networks as described in any one of claims 1-7.

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