Method for suppressing interference signal, storage medium and electronic device

Abstract

The invention provides a method for suppressing an interference signal, a storage medium and an electronic device. The method comprises the following steps: when a transmitting end is in a silent state, controlling an intelligent reflecting surface to perform multiple phase configurations, and determining phase pre-configurations corresponding to the intelligent reflecting surface; according to the phase pre-configuration of the intelligent reflecting surface, the phases of part of reflecting units in the intelligent reflecting surface are reversely arranged; according to the reversely arranged intelligent reflecting surface, a received signal power test is carried out; the final phase configuration of the intelligent reflecting surface is determined according to the test result; and according to the final phase configuration of the intelligent reflecting surface, suppressing an interference signal. Through the embodiment of the invention, the problem that the existing anti-interference technology cannot effectively suppress interference under the condition that the channel state information is unknown in the prior art is solved.

Description

Technical Field

[0001] This invention relates to the field of communications, and more specifically, to a method, storage medium, and electronic device for suppressing interference signals. Background Technology

[0002] In scenarios with strong interference in wireless communication, system performance faces severe challenges. Because interference sources are typically non-cooperative, the interference symbols they emit and the channel information associated with them are difficult to obtain. Simultaneously, in the context of strong interference, legitimate channel estimation from the transmitter to the receiver is extremely difficult. These factors cause traditional anti-interference techniques that rely on Channel State Information (CSI) to deteriorate drastically in such scenarios. Therefore, how to achieve effective blind anti-interference under unknown CSI conditions is a key challenge in improving the robustness of wireless communication. Summary of the Invention

[0003] This invention provides a method, storage medium, and electronic device for suppressing interference signals, thereby at least addressing the problem that existing anti-interference technologies cannot effectively suppress interference when channel state information is unknown.

[0004] According to an embodiment of the present invention, a method for suppressing interference signals is provided, comprising: controlling a smart reflector to perform multiple phase configurations while the transmitting end is in a silent state, and determining a phase pre-configuration corresponding to the smart reflector; according to the phase pre-configuration of the smart reflector, reversing the phase of some reflecting units in the smart reflector; performing a received signal power test based on the smart reflector after the phase reversal; determining the final phase configuration of the smart reflector based on the test results; and suppressing interference signals based on the final phase configuration of the smart reflector.

[0005] In one embodiment, before controlling the smart reflector to perform multiple phase configurations when the transmitting end is in a silent state, the method further includes: monitoring the received signal strength indicator and the reference signal received power during the communication process; determining the signal-to-interference-plus-noise ratio (SINR) based on the received signal strength indicator and the reference signal received power; and sending an interference suppression request to the transmitting end when the SINR is greater than a preset threshold, so that the transmitting end enters the silent state.

[0006] In one embodiment, before controlling the smart reflector to perform multiple phase configurations when the transmitter is in a silent state, the method further includes: making a pre-agreement with the transmitter so that the transmitter enters the silent state when transmitting a pilot sequence with several zero-power symbols.

[0007] In one embodiment, when the transmitting end is in a silent state, the smart reflector is controlled to perform multiple phase configurations and determine the phase pre-configuration corresponding to the smart reflector, including: determining a set of data pairs based on the phase vector and received signal strength corresponding to each phase configuration; determining the phase pre-configuration of each reflection unit of the smart reflector based on the set of data pairs; and determining the phase pre-configuration corresponding to the smart reflector based on the phase pre-configuration of each reflection unit of the smart reflector.

[0008] In one embodiment, determining the phase pre-configuration of each reflective unit of the smart reflector based on the data pair set includes: for any reflective unit of the smart reflector, determining the conditional sample mean of the received signal power of the any reflective unit under different phase values ​​based on the data pair set; and determining the phase pre-configuration of the any reflective unit based on the conditional sample mean.

[0009] In one embodiment, before reversing the phase of some reflective units in the smart reflective surface according to the phase pre-configuration of the smart reflective surface, the method further includes: determining a first selection ratio range when the reflection coefficient of the smart reflective surface cannot be set to zero, and determining some reflective units from the smart reflective surface according to the first selection ratio range; or, determining a second selection ratio range when the reflection coefficient of the smart reflective surface can be set to zero, and determining some reflective units from the smart reflective surface according to the second selection ratio range; wherein the first selection ratio range is greater than the second selection ratio range.

[0010] In one embodiment, when the reflection coefficient of the smart reflective surface cannot be set to zero, the phase of some reflective units in the smart reflective surface is reversed according to the phase pre-configuration of the smart reflective surface, including: reversing the phase of some reflective units based on the pre-configured phase according to the phase pre-configuration of the smart reflective surface; and keeping the phase of other reflective units of the smart reflective surface as the pre-configured phase.

[0011] In one embodiment, when the reflection coefficient of the smart reflective surface can be set to zero, the phase of some reflective units in the smart reflective surface is reversed according to the phase pre-configuration of the smart reflective surface, including: reversing the phase of some reflective units based on the pre-configured phase according to the phase pre-configuration of the smart reflective surface; and setting the reflection coefficient of other reflective units of the smart reflective surface to zero.

[0012] According to another embodiment of the present invention, a storage medium is also provided, wherein a computer program is stored in the storage medium, wherein the computer program is configured to execute the steps in any of the above method embodiments when running.

[0013] According to yet another embodiment of the present invention, an electronic device is also provided, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the steps in any of the above method embodiments.

[0014] According to yet another embodiment of the present invention, a computer program product is also provided, comprising a computer program that, when executed by a processor, implements the steps in any of the above method embodiments.

[0015] Through the above embodiments of the present invention, by utilizing the silent period at the transmitting end and implementing phase pre-configuration on the intelligent reflector, the characteristics of interfering channels can be captured without channel state information, thus achieving interference channel alignment. Based on phase inversion and received signal power testing under phase pre-configuration, optimizing the phase configuration of the intelligent reflector can effectively suppress interference. Therefore, it can solve the problem in related technologies where existing anti-interference technologies cannot effectively suppress interference under conditions of unknown channel state information, thereby enhancing the robustness and reliability of communication. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0017] Figure 1 This is a hardware structure block diagram of a mobile terminal that implements the method for suppressing interference signals according to an embodiment of the present invention.

[0018] Figure 2 This is a schematic diagram of the network architecture of a blind anti-interference system according to an embodiment of the present invention;

[0019] Figure 3 This is a flowchart of a method for suppressing interference signals according to an embodiment of the present invention;

[0020] Figure 4 This is a schematic diagram of the CSM algorithm flow according to an embodiment of the present invention;

[0021] Figure 5 This is a schematic diagram of the distribution of each reflection channel component according to an embodiment of the present invention;

[0022] Figure 6 This is a schematic diagram of the interference cancellation algorithm based on proportional inversion according to an embodiment of the present invention;

[0023] Figure 7 This is a complete flowchart of the IRS-based blind anti-interference method according to an embodiment of the present invention. Detailed Implementation

[0024] The present invention will be described in detail below with reference to the accompanying drawings and embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in the present application can be combined with each other.

[0025] It should be noted that the terms "first," "second," etc., in the specification, claims, and drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence.

[0026] The method embodiment provided in Embodiment 1 of this application can be executed on a mobile terminal, computer terminal, or similar computing device. Taking its operation on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal implementing the method for suppressing interference signals according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal 10 may include one or more ( Figure 1 Only one is shown in the diagram. A processor 102 (which may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data are also shown. Optionally, the mobile terminal may further include a transmission device 106 for communication functions and an input / output device 108. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the mobile terminal described above. For example, the mobile terminal 10 may also include components that are more... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0027] The memory 104 can be used to store computer programs, such as application software programs and modules, like the computer program corresponding to the method for suppressing interference signals in this embodiment of the invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, thereby implementing the above-described method. The memory 104 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor 102, and these remote memories can be connected to the mobile terminal 10 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.

[0028] The transmission device 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the mobile terminal 10. In one example, the transmission device 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission device 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0029] Figure 2 This is a schematic diagram of the network architecture of a blind anti-interference system according to an embodiment of the present invention. The embodiments of the present invention can operate in... Figure 2 In the network architecture shown, such as Figure 2 As shown, the network architecture includes: a transmitter, a receiver, an intelligent reflecting surface (IRS), and interference sources.

[0030] The transmitting end can be configured with any type of antenna (single antenna or multiple antennas). Since the transmitting end is required to be in a silent state (not transmitting signals) during the data acquisition phase of the scheme, its antenna configuration does not affect the scheme's performance.

[0031] Since the receiver is configured with a single antenna, it is impossible to suppress interference through spatial beamforming.

[0032] An IRS (Inverter Reflector), deployed near the receiver, effectively suppresses interference during periods of silence at the transmitter by optimizing its phase configuration. The IRS's control mechanism receives control signals from the receiver via a wired or short-range wireless link (such as Bluetooth or ZigBee). Based on the received instructions, the IRS can quickly adjust the phase of its reflector element.

[0033] Interference sources are transmitted at the same frequency but are unrelated to the transmitted signal. They have non-cooperative characteristics, and the interference symbols they emit, as well as the channel information associated with the interference source, are difficult to obtain.

[0034] In this embodiment, the transmitting end can be a base station and the receiving end can be a mobile terminal.

[0035] In environments with strong interference, estimating the legitimate channel from the transmitter to the receiver is extremely difficult, leading to a sharp deterioration in the performance of traditional CSI-dependent anti-interference techniques in such scenarios. To address this, this invention proposes a method for suppressing interference signals. This method, based on the adjustment of IRS configuration, can achieve effective blind anti-interference even without CSI information.

[0036] Specifically, in the method described above in this embodiment of the invention, during the silent period at the transmitting end, the receiving end controls the IRS to perform a series of specific configurations and measures the Received Signal Strength (RSS) corresponding to each configuration. During this stage, the RSS can be approximated as the interference signal strength. Subsequently, by statistically processing these measurement data, the optimal IRS configuration can be derived without any prior CSI knowledge.

[0037] Using the above method, IRS parameters can be adaptively configured in a low-complexity, easy-to-implement blind processing mechanism in a strong interference environment lacking CSI, thereby effectively suppressing interference signals and ultimately ensuring the reliability and robustness of wireless communication.

[0038] The above method can be implemented on receiving devices or network architectures, where the receiving device can be a mobile terminal. Figure 3 This is a flowchart of a method for suppressing interference signals according to an embodiment of the present invention, such as... Figure 3 As shown, the process includes the following steps:

[0039] Step S302: When the transmitting end is in a silent state, control the IRS to perform multiple phase configurations and determine the phase pre-configuration corresponding to the IRS.

[0040] Step S304: According to the phase pre-configuration of the IRS, the phase of some reflection units in the IRS is reversed;

[0041] Step S306: Perform a received signal power test based on the inverted IRS; and determine the final phase configuration of the IRS based on the test results;

[0042] Step S308: Suppress interference signals according to the final phase configuration of the IRS.

[0043] By utilizing the above steps and the transmitter's silent period, phase pre-configuration of the IRS allows for the capture of interference channel characteristics and the achievement of interference channel alignment without the need for CSI. Based on phase inversion and received signal power testing under phase pre-configuration, optimizing the IRS phase configuration can effectively suppress interference. Therefore, this addresses the problem in existing anti-interference technologies that cannot effectively suppress interference when CSI is unknown, thereby enhancing the robustness and reliability of communication.

[0044] Before step S302 in this embodiment, the method further includes: deploying an IRS near the receiving end so that both legitimate signals and interference signals can reach the receiving end via the reflection channel of the IRS.

[0045] In one exemplary embodiment, based on Figure 2 The network architecture described above is modeled as follows. Assuming the IRS consists of N units, the received signal at the receiver can be modeled as follows:

[0046]

[0047] in: The transmitted symbol representing the transmitter has an average power of ,Right now ; This represents the direct connection channel between the sender and receiver. Representative of the transmitter - the Cascaded reflection channels of IRS unit-receiver;

[0048] The transmitted symbol representing the interference source has an average power of ,Right now ; This represents the direct channel from the interference source to the receiver. Representative interference source - number Cascaded reflection channels of IRS unit-receiver;

[0049] Representing the Phase shift introduced by each IRS unit This represents additive white Gaussian noise. Considering the typical hardware architecture of an IRS, the phase shift... Typically, it is taken from a discrete set of phases, and modeled as follows:

[0050]

[0051] in: This represents the total number of phase offsets in the set.

[0052] In various embodiments of the present invention, the transmitting end enters a silent state, marking the start of an interference suppression cycle.

[0053] In one embodiment, before controlling the IRS to perform multiple phase configurations while the transmitter is in a silent state, the method further includes: monitoring the Received Signal Strength Indicator (RSSI) and Reference Signal Received Power (RSRP) during communication; determining the signal-to-interference-plus-noise ratio (SINR) based on the RSSI and RSRP; and sending an interference suppression request to the transmitter if the SINR is greater than a preset threshold, so that the transmitter enters the silent state.

[0054] In one exemplary embodiment, the receiver continuously monitors the signal-to-interference-plus-noise ratio (SINR), and when the interference exceeds a preset threshold, it notifies the transmitter to enter a silent state through a feedback link.

[0055] The receiver continuously monitors SINR during communication, including estimating SINR by measuring RSSI and RSRP. The calculation formula is: SINR = RSRP / (RSSI - RSRP).

[0056] When the estimated interference level exceeds a preset threshold (e.g., SINR is below 10dB), the receiver sends an interference suppression request to the transmitter via the physical feedback link, and the transmitter then enters a silent state.

[0057] Based on the signal model of the above embodiments, when the transmitting end is silent (i.e. The received signal at the receiving end can be simplified to the sum of interference and noise:

[0058]

[0059] Therefore, the SINR during system data transmission can be expressed as:

[0060]

[0061] in, This represents the legitimate signal portion. This represents the average power of the legitimate signal portion, i.e., the signal power; This is the average power of the interference signal and noise.

[0062] This invention relies solely on measurable received signal power without making any prior assumptions about channel models (such as Ricean or Rayleigh fading) or interference characteristics, thus possessing strong universality. This method can effectively address both natural and man-made interference.

[0063] In one embodiment, before controlling the IRS to perform multiple phase configurations while the transmitter is in a silent state, the method further includes: making a pre-agreement with the transmitter so that the transmitter enters the silent state when transmitting a pilot sequence with several zero-power symbols.

[0064] In one exemplary embodiment, the transmitting end and the receiving end agree in advance to insert a number of zero-power symbols into the transmitted pilot sequence, and the transmitting end is naturally in a silent state when transmitting these zero-power symbols.

[0065] Of the two methods for triggering the transmitter's silent state, the SINR-based triggering method is on-demand, initiating the anti-interference process only when interference is severe, resulting in lower resource consumption. However, it relies on a reliable low-latency feedback link between the receiver and transmitter. The pre-agreed triggering method, on the other hand, is based on predetermined rules and requires no additional signaling interaction, but it triggers the process periodically (during the zero-power symbol period in each pilot), leading to relatively higher resource consumption.

[0066] To achieve interference suppression, in this embodiment of the invention, when the transmitting end enters the silent period, the receiving end needs to control the IRS to perform multiple rounds of random phase configuration and simultaneously measure the RSS under different phase configurations. The RSS value obtained during this stage can approximately characterize the strength of the interference signal.

[0067] In one embodiment, when the transmitting end is in a silent state, the IRS is controlled to perform multiple phase configurations and determine the phase pre-configuration corresponding to the IRS, including: determining a set of data pairs based on the phase vector and RSS corresponding to each phase configuration; determining the phase pre-configuration of each reflection unit of the IRS based on the set of data pairs; and determining the phase pre-configuration corresponding to the IRS based on the phase pre-configuration of each reflection unit of the IRS.

[0068] In one embodiment, determining the phase pre-configuration of each reflection unit of the IRS based on the data pair set includes: for any reflection unit of the IRS, determining the conditional sample mean of the received signal power of the reflection unit under different phase values ​​based on the data pair set; and determining the phase pre-configuration of the reflection unit based on the conditional sample mean.

[0069] In one exemplary embodiment, the receiver controls the IRS to execute while the transmitter is in a silent state. Sub-independent random phase configurations, wherein It is an integer greater than zero.

[0070] Specifically, the The phase vector of this configuration is Under each phase configuration, the receiver measures the corresponding interference plus noise signal power. And record all phase configurations and their corresponding power measurements to form a complete set of data pairs. .

[0071] Based on the data pairs collected above, the CSM algorithm is executed to obtain the phase preconfiguration of the IRS. .

[0072] Figure 4This is a schematic diagram of the CSM algorithm flow according to an embodiment of the present invention, as shown below. Figure 4 As shown, the specific process of the CSM algorithm includes the following steps:

[0073] S401, traverse each IRS cell of the IRS and determine the conditional sample mean of the received signal power of each IRS cell under different phase values. The IRS cell is functionally equivalent to the reflection cell in the above embodiment.

[0074] Specifically, regarding the first IRS units ( ), based on the recorded data Calculate the value of the unit in each discrete phase. Conditional sample mean:

[0075] .

[0076] The denominator represents the number of data points that satisfy the phase value condition.

[0077] Step S402: Determine the phase pre-configuration of each IRS unit based on the conditional sample mean of each IRS unit.

[0078] Specifically, for the first Each IRS unit has its phase pre-configured as follows:

[0079]

[0080] Ultimately, the pre-configured phases of all IRS units constitute the pre-configured phase vector of the IRS:

[0081]

[0082] IRS Phase Configuration Based on CSM Algorithm Under discrete phase constraints, this is approximately equivalent to making each IRS unit reflect the channel. Both are related to background interference channels The phase difference is minimized (i.e., the "nearest point projection" principle). Therefore, in Under configuration, each reflection channel component in the complex plane All distributed in Near the phase direction Within the range.

[0083] Figure 5 This is a schematic diagram of the distribution of each reflection channel component according to an embodiment of the present invention, such as... Figure 5 As shown, the IRS phase is configured as follows: Afterwards, the phase of the reflected channel components is all located at phase Within this range; based on this, by reversing the phase of a portion of the reflection channel, the overall interference channel can be suppressed.

[0084] The two silent state triggering mechanisms provided in the above embodiments of the present invention can be flexibly selected according to different system requirements for overhead and real-time performance. Meanwhile, the "proportional inversion" algorithm also considers the adaptation to IRS hardware capabilities (whether it supports the absorption state), which can enhance the compatibility of the technical solution of the present invention with different hardware platforms.

[0085] Based on the IRS phase configuration obtained in the above embodiments The proposed "interference cancellation based on proportional inversion" algorithm is executed. The core idea of ​​this algorithm is to randomly select a certain proportion of IRS cells and invert their phase positions (i.e., increase their phase). This ensures that, statistically, the inverted reflected channel component and the non-inverted channel component have opposite directions, thus canceling each other out during synthesis and achieving the goal of suppressing interference. The objective of this algorithm is to systematically search for the optimal IRS unit decimation ratio and specific combination that achieves the best interference suppression effect.

[0086] In one embodiment, before inverting the phase of a portion of the IRS units according to the phase pre-configuration of the IRS, the method further includes: determining a first selection ratio range when the reflection coefficient of the IRS cannot be set to zero, and determining a portion of the IRS units from the IRS according to the first selection ratio range; or, determining a second selection ratio range when the reflection coefficient of the IRS can be set to zero, and determining a portion of the IRS units from the IRS according to the second selection ratio range; wherein the first selection ratio range is greater than the second selection ratio range.

[0087] In one embodiment, when the reflection coefficient of the IRS cannot be set to zero, the phase of some IRS units in the IRS is reversed according to the phase pre-configuration of the IRS, including: reversing the phase of the some IRS units based on the pre-configured phase according to the phase pre-configuration of the IRS; and keeping the phase of the other IRS units of the IRS as the pre-configured phase.

[0088] In one embodiment, when the reflection coefficient of the IRS can be set to zero, the phase of some IRS units in the IRS is reversed according to the phase pre-configuration of the IRS, including: reversing the phase of the some IRS units based on the pre-configured phase according to the phase pre-configuration of the IRS; and setting the reflection coefficient of the other IRS units of the IRS to zero.

[0089] Figure 6 This is a schematic diagram of the interference cancellation algorithm based on proportional inversion according to an embodiment of the present invention, as shown below. Figure 6 As shown, the process includes the following steps:

[0090] S601, Set the selection ratio range; wherein, the selection ratio range includes the first selection ratio range and the second selection ratio range mentioned above.

[0091] Specifically, regarding whether the IRS hardware supports an absorption state (i.e., whether the reflection coefficient can be set to 0), this step provides two optional configuration methods:

[0092] Method 1 (IRS does not support absorption state): When the IRS reflectance cannot be set to 0, use a fixed step size. Traversal selection ratio (Functionally equivalent to the first selection ratio range mentioned above), that is Therefore, the total number of sampling ratios that need to be tested is... In each proportion Next, execute Therefore, the total number of trials is (the number of independent random sampling trials is 1). For example, suppose The total number of trials is 500. The reason for setting the starting point of the proportional interval slightly greater than 0.5 is that the phase reversal of 50% of the units allows the reflection channels to cancel each other out statistically (their phase relationship is as follows). Figure 5 (As shown). To further counteract background interference channels The inverse ratio must be greater than 50%.

[0093] Method 2 (IRS supports absorption state): When the IRS can be adjusted to the absorption state, proceed by step size. Traversal ratio (Functionally equivalent to the second selection ratio range mentioned above), that is The total proportion is Performed at each scale Independent trials, total number of trials: For example, suppose The total number of trials is 1000.

[0094] Step S602: According to the selection ratio range determined in step S601, randomly select a portion of the IRS units in the IRS, and perform phase position reversal and power measurement on the portion of the IRS units.

[0095] Specifically, for each proportion ,conduct This is the second trial. In each trial, samples are randomly selected. IRS cells, the phases of these sampled IRS cells in Invert the base (i.e., add) The remaining unselected IRS cells are configured according to the method selected in step 1: if method one is used, their phase is maintained at [phase value missing]. The configuration remains unchanged; if method two is used, it is set to absorption mode (reflection coefficient is 0). Under each experimental configuration, the corresponding received signal power is measured and recorded.

[0096] Step S603: Determine the final IRS configuration based on the power measurement results in step S602.

[0097] Specifically, after all proportions and all number of tests are completed, the system compares the received signal power values ​​measured in all tests and selects the IRS phase configuration that minimizes the received power as the final configuration for this operating cycle. This configuration can suppress interference signals to the greatest extent.

[0098] Using the aforementioned interference cancellation algorithm based on proportional inversion, the system can obtain the optimal IRS configuration within the current operating cycle, thereby effectively suppressing interference. After completing this round of interference suppression, the system enters the next anti-interference operating cycle, achieving continuous interference suppression capability.

[0099] Through a periodic operating mechanism and adjustable parameters (such as the number of measurements T, search step size s, and number of trials M), the system can dynamically balance interference suppression performance and resource consumption (time, energy consumption, and communication resources) to adapt to the needs of different services.

[0100] This invention also provides a complete flowchart of an IRS-based blind anti-interference method. This method achieves efficient interference suppression without the need for CSI (Continuous Signal Injection). Specifically, in an interfering wireless communication scenario: the transmitter sends a legitimate signal to the receiver, while one or more non-cooperative interference sources exist, whose interference signals are received by the receiver, severely impacting communication quality. To solve this problem, an IRS is deployed near the receiver, and its reflection coefficient is dynamically adjusted to reconstruct the channel, thereby achieving interference suppression.

[0101] Figure 7 This is a complete flowchart of the blind anti-interference method based on IRS according to an embodiment of the present invention, taking the dynamic triggering of the transmitter's silent state as an example, such as... Figure 7 As shown, the method includes the following steps:

[0102] Step S701: Determine whether the current interference level is greater than the preset threshold. If yes, proceed to step S702; otherwise, proceed to step S705 to continue monitoring the interference level.

[0103] In this embodiment, the transmitter enters a silent state, marking the start of an interference suppression cycle.

[0104] The dynamic triggering of the silent state of the transmitting end includes: the receiving end continuously monitors the interference level (e.g., based on SINR measurement), and when the interference exceeds a preset threshold, it notifies the transmitting end to enter the silent state through the feedback link.

[0105] In addition to dynamic triggering of the silent state of the transmitter, there is also convention-based triggering, in which the transmitter pre-inserts zero-power symbols in the pilot sequence and automatically enters a silent state when transmitting these symbols.

[0106] Step S702: The receiver controls the IRS to configure a random phase and measures the received signal power corresponding to each phase configuration.

[0107] Specifically, during the silent period at the transmitting end, the receiving end controls the IRS to perform... Sub-random phase configuration. The value is a positive integer; the RSS is measured and recorded for each configuration, forming a set of data pairs. ,in Representing the Next IRS phase configuration. It is approximately equal to the strength of the interference signal.

[0108] Step S703: Based on the CSM algorithm, determine the phase pre-configuration corresponding to the IRS.

[0109] Specifically, the Conditional Sample Mean (CSM) algorithm is applied to the data collected in step S702 to calculate the preliminary IRS phase preconfiguration. This makes each reflection channel component approximate the background interference channel in phase.

[0110] Step S704: The receiver executes the "interference cancellation based on proportional inversion" algorithm to obtain the final phase configuration of the IRS.

[0111] based on The "interference cancellation based on proportional inversion" algorithm is executed, and the final IRS configuration that can suppress interference to the greatest extent is found through multiple experiments. After completing this round of interference suppression, the system returns to step S701 to enter the next running cycle.

[0112] Step S705: Continue monitoring the interference level.

[0113] The embodiments of this invention can be applied to wireless communication scenarios where interference exists. Due to its "CSI-free" and "model-independent" characteristics, this invention is also generally applicable to IRS-assisted wireless communication scenarios with anti-interference requirements. For example, this invention can be used in smart factories or automated production lines in the Industrial Internet where severe electromagnetic interference exists to ensure the robustness of control command transmission; in low-altitude economic and drone communication scenarios to alleviate co-channel interference and improve the resilience of communication links; and in field emergency communication scenarios to suppress strong electromagnetic interference caused by severe weather. Furthermore, this invention can be extended, for example, to develop blind anti-interference schemes based on multi-IRS collaboration, and to consider combining more advanced AI algorithms to improve scheme efficiency.

[0114] The embodiments described above constitute a complete interference suppression mechanism that requires no prior CSI knowledge. By utilizing RSS measurement and statistical analysis during the transmitter's silence period, the complex channel estimation process in traditional schemes, which often fails in high-interference environments, is replaced, greatly improving the practical feasibility of the method in non-cooperative interference scenarios. Simultaneously, the Conditional Sample Mean (CSM) algorithm is combined with a "proportional inversion-based interference cancellation" algorithm. The CSM algorithm first quickly converges to an initial IRS phase configuration that aligns the reflected channel with the background interference channel. Subsequently, the second-level algorithm performs an intelligent random search based on this, achieving deep interference suppression through self-cancellation of the reflected channel components and cancellation between the reflected channel and the background channel.

[0115] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0116] Embodiments of the present invention also provide a storage medium storing a computer program, wherein the computer program is configured to execute the steps in any of the above method embodiments when running.

[0117] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0118] S1, when the transmitting end is in a silent state, control the IRS to perform multiple phase configurations and determine the phase pre-configuration corresponding to the IRS;

[0119] S2, according to the phase pre-configuration of the IRS, the phase of some IRS units in the IRS is reversed;

[0120] S3, perform a received signal power test based on the inverted IRS; and determine the final phase configuration of the IRS based on the test results;

[0121] S4, based on the final phase configuration of the IRS, suppress interference signals.

[0122] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0123] Embodiments of the present invention also provide an electronic device including a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the steps in any of the above method embodiments.

[0124] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor and the input / output device is connected to the processor.

[0125] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0126] S1, when the transmitting end is in a silent state, control the IRS to perform multiple phase configurations and determine the phase pre-configuration corresponding to the IRS;

[0127] S2, according to the phase pre-configuration of the IRS, the phase of some IRS units in the IRS is reversed;

[0128] S3, perform a received signal power test based on the inverted IRS; and determine the final phase configuration of the IRS based on the test results;

[0129] S4, based on the final phase configuration of the IRS, suppress interference signals.

[0130] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0131] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0132] 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, or improvements made within the principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method of suppressing an interfering signal, characterized by, Applied to receiving devices, including: When the transmitting end is in a silent state, the intelligent reflector is controlled to perform multiple phase configurations and the phase pre-configuration corresponding to the intelligent reflector is determined. Based on the phase pre-configuration of the intelligent reflective surface, the phases of some reflective units in the intelligent reflective surface are reversed; Based on the reversed smart reflector settings, the received signal power is tested; and the final phase configuration of the smart reflector is determined based on the test results. Interference signals are suppressed based on the final phase configuration of the intelligent reflective surface.

2. The method according to claim 1, characterized in that, Before controlling the smart reflector to perform multiple phase configurations while the transmitter is in a silent state, the method further includes: Monitor the received signal strength indicator and reference signal received power during the communication process; The signal-to-interference-plus-noise ratio (SINR) is determined based on the received signal strength indication and the received reference signal power. If the signal-to-interference-plus-noise ratio is greater than a preset threshold, an interference suppression request is sent to the transmitting end so that the transmitting end enters the silent state.

3. The method according to claim 1, characterized in that, Before controlling the smart reflector to perform multiple phase configurations while the transmitter is in a silent state, the method further includes: An agreement is made with the transmitting end in advance so that the transmitting end enters the silent state when transmitting a pilot sequence with several zero-power symbols.

4. The method according to claim 1, characterized in that, When the transmitting end is in a silent state, the intelligent reflector is controlled to perform multiple phase configurations and determine the phase pre-configuration corresponding to the intelligent reflector, including: The data pair set is determined based on the phase vector and received signal strength corresponding to each phase configuration; Based on the data set, determine the phase pre-configuration of each reflection unit of the smart reflective surface; Based on the phase pre-configuration of each reflection unit of the smart reflective surface, the phase pre-configuration corresponding to the smart reflective surface is determined.

5. The method according to claim 4, characterized in that, Based on the data set, the phase pre-configuration of each reflective unit of the smart reflective surface is determined, including: For any reflective unit of the intelligent reflective surface, based on the data pair set, determine the conditional sample mean of the received signal power of the any reflective unit under different phase values; Based on the mean of the conditional samples, the phase pre-configuration of any one of the reflection units is determined.

6. The method according to claim 1, characterized in that, Before reversing the phase of some reflecting units in the smart reflective surface according to the phase pre-configuration of the smart reflective surface, the method further includes: If the reflection coefficient of the intelligent reflective surface cannot be set to zero, a first selection ratio range is determined, and a portion of the reflective units are determined from the intelligent reflective surface according to the first selection ratio range; or, When the reflection coefficient of the intelligent reflective surface can be set to zero, a second selection ratio range is determined, and a portion of the reflective units are determined from the intelligent reflective surface according to the second selection ratio range; wherein, the first selection ratio range is greater than the second selection ratio range.

7. The method according to claim 6, characterized in that, When the reflection coefficient of the intelligent reflective surface cannot be set to zero, the phase of some reflective units in the intelligent reflective surface is reversed according to the phase pre-configuration of the intelligent reflective surface, including: Based on the phase pre-configuration of the intelligent reflective surface, the phase of some reflective units is reversed on the basis of the pre-configured phase; The phase of the other reflective units of the smart reflective surface is maintained at the pre-configured phase.

8. The method according to claim 6, characterized in that, When the reflection coefficient of the intelligent reflective surface can be set to zero, the phase of some reflective units in the intelligent reflective surface is reversed according to the phase pre-configuration of the intelligent reflective surface, including: Based on the phase pre-configuration of the intelligent reflective surface, the phase of some reflective units is reversed on the basis of the pre-configured phase; Set the reflection coefficient of the other reflection units of the intelligent reflective surface to zero.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the steps of the method described in any one of claims 1 to 8.

10. An electronic 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 computer program, it implements the steps of the method described in any one of claims 1 to 8.

11. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method described in any one of claims 1 to 8.

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