About Madi Makin Madi Makin Ph.D. Student, Electrical and Computer Engineering reconfigurable intelligent surface physical-layer security non-orthogonal multiple-access NOMA networks Projects Related Projects 2025 Digital Twin For Indoor Scenario Fri, Sep 12 2025 wireless communication In indoor wireless scenarios, Digital Twin enables the accurate modeling of complex environments, such as offices, factories, and smart homes, allowing for the real-time optimization of coverage, interference management, and seamless connectivity for IoT devices. IT supports applications like intelligent building management, immersive AR/VR, and industrial automation. At CCSL, we investigate two specific indoor DT scenarios: digital twin–aided beamforming design and digital twin–aided blockage prediction/detection for MIMO systems. Experiment Description Digital Twin (DT) technology enables Digital Twin For Outdoor Scenario Fri, Sep 12 2025 Research wireless communication In outdoor scenarios, DTs provide large-scale virtual replicas of urban or rural networks to optimize base station placement, manage mobility, and enhance vehicular or drone communications. These advantages make DTs a powerful tool for improving reliability, efficiency, and adaptability across diverse wireless environments. At CCSL, we investigate two specific DT scenarios for outdoor wireless cellular networks: digital twin–aided beamforming design and digital twin–aided blockage prediction/detection for MIMO systems. Experiment Description Digital Twin (DT) technology enables the accurate Digital Twin For RIS-Aided Systems Fri, Sep 12 2025 Research wireless communication Beyond 5G networks are expected to deliver ultra-reliable, low-latency, and high-capacity connectivity. One of the key enabling technologies for achieving these goals is a reconfigurable intelligent surface (RIS), which is a programmable metasurface composed of many passive elements, each capable of adjusting the phase of incident signals. By intelligently controlling these elements, RIS can manipulate wireless propagation environment to enhance coverage, increase capacity, and improve energy efficiency. To accurately model the behavior of RIS within complex and dynamic environments, digital
Digital Twin For Indoor Scenario Fri, Sep 12 2025 wireless communication In indoor wireless scenarios, Digital Twin enables the accurate modeling of complex environments, such as offices, factories, and smart homes, allowing for the real-time optimization of coverage, interference management, and seamless connectivity for IoT devices. IT supports applications like intelligent building management, immersive AR/VR, and industrial automation. At CCSL, we investigate two specific indoor DT scenarios: digital twin–aided beamforming design and digital twin–aided blockage prediction/detection for MIMO systems. Experiment Description Digital Twin (DT) technology enables
Digital Twin For Outdoor Scenario Fri, Sep 12 2025 Research wireless communication In outdoor scenarios, DTs provide large-scale virtual replicas of urban or rural networks to optimize base station placement, manage mobility, and enhance vehicular or drone communications. These advantages make DTs a powerful tool for improving reliability, efficiency, and adaptability across diverse wireless environments. At CCSL, we investigate two specific DT scenarios for outdoor wireless cellular networks: digital twin–aided beamforming design and digital twin–aided blockage prediction/detection for MIMO systems. Experiment Description Digital Twin (DT) technology enables the accurate
Digital Twin For RIS-Aided Systems Fri, Sep 12 2025 Research wireless communication Beyond 5G networks are expected to deliver ultra-reliable, low-latency, and high-capacity connectivity. One of the key enabling technologies for achieving these goals is a reconfigurable intelligent surface (RIS), which is a programmable metasurface composed of many passive elements, each capable of adjusting the phase of incident signals. By intelligently controlling these elements, RIS can manipulate wireless propagation environment to enhance coverage, increase capacity, and improve energy efficiency. To accurately model the behavior of RIS within complex and dynamic environments, digital
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