ANTENNA ELEMENT FAILURE DETECTION BEAM PATTERN RESYNTHESIS SYSTEM ON HOLOGRAPHIC MIMO SURFACES

Abstract

The invention relates to a system that reconstructs the beam pattern by learning about antenna element failures on holographic MIMO surfaces. The system consists of a holographic MIMO surface (1), an RF feedback module (2), a fault detection and analysis unit (3), a beam pattern synthesis engine (4), an adaptive control unit (5), and a real-time monitoring interface (6). The system closes the electromagnetic gaps created by faulty elements by dynamically recalculating the phase and amplitude values ​​of the healthy elements. In this way, even if there is a certain percentage of element loss on the surface, the beam pattern reaching the target user is preserved with minimum distortion.

Description

1 TARIFF ANTENNA ELEMENT FAILURE DETECTION BEAM PATTERN ON HOLOGRAPHIC MIMO SURFACES RESYNTHESIS SYSTEM Technical Area The invention concerns antenna elements on holographic MIMO surfaces used in 6G communication systems. with a system that detects malfunctions and resynthesizes the beam pattern according to these malfunctions The invention is particularly relevant to the real-time detection of physical disturbances on electromagnetic surfaces. an AI-based adaptation that ensures communication continuity by analyzing it in this way It offers a mechanism. 10 State of the Art Current holographic MIMO systems utilize a combination of numerous small antenna elements. It creates high-gain beams through the large surfaces that are formed. However, this 15 Antenna components in systems can deteriorate over time due to environmental factors or manufacturing defects. It may experience a loss of performance or become completely dysfunctional. Traditional When a component fails in a system, this usually affects the irradiation pattern of the entire surface. This leads to deterioration and increased parietal lobe levels. Current techniques address the faulty manual measurements or complex calibration processes to identify elements 20 This requires, which makes real-time adaptation impossible. Furthermore, it is faulty. Phase and amplitude distortions created by the elements affect the focus of the beam directed at the target user. This shifts the signal point and significantly reduces signal quality. This situation, especially... This leads to interruptions and data loss in 6G systems operating at high frequencies. Purpose of the Invention The invention automatically detects antenna element failures occurring on holographic MIMO surfaces. The aim is to create a system that detects and rectifies these malfunctions. The invention Its main purpose is to neutralize the electromagnetic gaps created by faulty components with 30% of working components. The system shuts down by dynamically recalculating the phase and amplitude values. Deep using a learning-based model to determine the location and type of the failure, then this It reconstructs the ray pattern using the data. Unlike the current technique, this invention... It not only identifies the fault but also reduces the negative impact created by the faulty component on other systems. It neutralizes the elements by optimizing their parameters. In this way, the 35 on the surface... Even with a certain percentage of element loss, the beam pattern reaching the target user is minimal. 2 It is protected against disruption. The invention improves service continuity in 6G networks while facilitating maintenance. It reduces costs and increases the system's durability. Figures that will help understand the invention. Figure 1 shows a general representation of the system that is the subject of the invention. Explanation of Part References 1: Holographic MIMO Surface 10 2: RF Feedback Module 3: Fault Detection and Analysis Unit 4: Beam Pattern Synthesis Engine 5: Adaptive Control Unit 6: Real-Time Monitoring Interface 15 Detailed Description of the Invention The invention allows for beam pattern recognition by learning antenna element failures on holographic MIMO surfaces. It is a system that resynthesizes electromagnetic waves. The system essentially resynthesizes electromagnetic waves. directing holographic MIMO surface (1), RF analyzes signal returns on the surface feedback module (2), fault detection and analysis unit (3) that detects faults, new beam beam pattern synthesis engine (4) which calculates the pattern, adaptive control that manages the system It consists of the unit (5) and the real-time monitoring interface (6) that visualizes the whole process. Holographic MIMO surface (1) consists of numerous sub-wavelength range antenna elements and 25 It is an electromagnetic surface designed in accordance with 6G communication standards. surface irradiation with much higher resolution compared to traditional antenna arrays. It has the capacity. The RF feedback module (2) measures the output power of each antenna element and It consists of sensors and circuits that continuously monitor phase information. This module, By recording the characteristics of the elements under normal operating conditions, a reference data set 30 It creates. The fault detection and analysis unit (3) processes the data from the RF feedback module (2). It is a learning-based analysis module. This unit analyzes the amplitude and phase values ​​of the elements. By analyzing the deviations, it determines the location and severity of the failure. For example, a component's... Sudden change in impedance value or loss of signal, fault detection and analysis unit (3) 35 This is captured instantly by the unit. This unit records the coordinates of the faulty components and the type of fault. 3 (complete disconnection, partial performance loss, etc.) and use this information to synthesize beam patterns. transmits to the motor (4). The beam pattern synthesis engine (4) is the most critical decision-making mechanism of the system. This engine, Phase and amplitude of healthy components to fill the gaps created by faulty components. It recalculates the values. During the synthesis process, the side effects created by faulty components are 5. An optimization algorithm is run to minimize lobe increments. This algorithm targets To maintain the beam direction, the perimeter should be designed to prevent interference from faulty areas. It dynamically adjusts the weight of the elements. The adaptive control unit (5) receives new parameters from the beam pattern synthesis engine (4). This unit is the control center that applies the holographic MIMO to the surface (1). This unit is the newly calculated phase 10 and transmits the amplitude values ​​to the control circuits on the surface, thus instantaneously capturing the beam pattern. It ensures that it is updated. The adaptive control unit (5) is constantly updated to maintain the stability of the system. It establishes a feedback loop and improves the performance of the newly synthesized pattern through RF feedback. Verifies via the power supply module (2). The real-time monitoring interface (6) shows the health status of the system and the corrections made. It is a panel that presents information to operators. This interface shows the locations of faulty components and the newly synthesized ones. It displays a visualization of the ray pattern and the system's current performance metrics. Operators can make manual interventions through this interface or the system can automatically... They can monitor the adaptation process. The system's operating scenario is as follows: First, the holographic MIMO surface (1) is normal 20 It performs signal transmission in working mode. The RF feedback module (2) transmits signals to all elements. It continuously collects performance data. When any component fails, the RF system provides feedback. The power supply module (2) detects this anomaly and sends the data to the fault detection and analysis unit (3) It transmits. The fault detection and analysis unit (3) determines the location of the fault thanks to the deep learning model. and determines its effect and reports it to the beam pattern synthesis engine (4). Beam pattern 25 The synthesis engine (4) will compensate for the gap created by the faulty components with a new phase-amplitude It calculates the distribution and transmits this information to the adaptive control unit (5). The adaptive control unit (5) calculates the new distribution. Apply the parameters to the holographic MIMO surface (1) and the beam pattern is resynthesized All these processes are monitored through the real-time monitoring interface (6). 35

Claims

4 REQUESTS 1. Reconstructing the beam pattern by learning about antenna element failures on holographic MIMO surfaces. It is a synthesizing system, and its characteristic is; - holographic MIMO surface that directs electromagnetic waves (1), 5 - RF feedback module (2) which analyzes the signal returns on the surface. - fault detection and analysis unit that detects faults (3), - beam pattern synthesis engine (4) which calculates the new beam pattern. - Adaptive control unit (5) that manages the system and - Real-time monitoring interface that visualizes the entire process (6) 10 It includes.

2. It is a system that complies with Claim 1, and its feature is that it is a fault detection and analysis unit (3). performed by analyzing the amplitude and phase data from the RF feedback module (2) A deep learning-based analysis that identifies the location and type of failure of faulty components. It includes the module. 15 3. A system that conforms to Claim 1, characterized by its ability to counteract the electromagnetic field created by faulty components. recalculates the phase and amplitude values ​​of the intact elements to compensate for the gaps, An optimization that minimizes lateral lobe levels and preserves the target beam direction. It includes a beam pattern synthesis engine (4) with its algorithm.

4. It is a system that complies with claim 1, and its feature is that it receives 20 from the beam pattern synthesis engine (4). applying new parameters to the holographic MIMO surface (1) and maintaining the stability of the system It includes an adaptive control unit (5) that establishes a continuous feedback loop.

5. It is a system that complies with Claim 1, and its feature is that it detects the locations of the faulty components using synthesized new ones. a visualization of the ray pattern and a real-world display of the system's current performance metrics. It includes a time monitoring interface (6). 25 6. It is a system that complies with claim 1, and its feature is; RF feedback module (2) This is achieved by continuously monitoring the output power and phase information of each antenna element. a monitoring mechanism that creates a reference data set under normal operating conditions It includes.

7. It is a system that complies with Claim 1, and its feature is that the fault detection and analysis unit (3) is 30 The process involves mitigating the negative impact of faulty components on the parameters of other components. It includes an adaptation mechanism that neutralizes by optimizing.

8. It is a system that complies with claim 1, and its feature is; by the adaptive control unit (5). The newly calculated phase and amplitude values ​​are transmitted to the surface control circuits. a control mechanism that enables instantaneous updating of the beam pattern by transmitting 35 It includes.

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