مرکز منطقه ای اطلاع رسانی علوم و فناوری Journal of Information Systems and Telecommunication (JIST) 2322-1437 14 54 2026 9 9 A Spectral-Domain Approach for Early Blockage Detection in Sub-Terahertz Wireless Networks A Spectral-Domain Approach for Early Blockage Detection in Sub-Terahertz Wireless Networks 170 181 en Neravati Nagaraja Kumar Rajeev Gandhi memorial college of engineering and technology Anil Kumar Aditya University Subba Raju MP JNTUK University Kalyani Kapula JNTUK University Surya Kala Nagireddi JNTUK University Yarrapragada Rao K. S. S. JNTUK University 2024 12 31 <p class="Sammary" style="page-break-after: auto;">The paper presents the problem of human body blockage in sub-terahertz and millimeter wave wireless systems. These communication systems are operated at very high frequencies. The generated high frequency signals are very sensitive to obstacles like the human body. A blockage event abruptly reduces the received signal power. This causes a loss of signal connection between transmitter and receiver. To avoid this problem, the network detects a blockage before it actually happens. Many existing solutions use machine learning models in the time domain. These methods are complex. Long training times are required. The signal shows clear oscillations just before a blockage happens. These oscillations are weak in the time domain. The paper uses the short-time Fourier transform to extract spectral features from the received signal. The difference between normal conditions and pre-blockage conditions becomes very large. In some cases, the gap reaches two orders of magnitude. Based on this observation, a threshold-based proactive blockage detection algorithm is designed. The algorithm is simple and does not rely on machine learning. In order to solve this, MATLAB simulation environment is assumed with parameter values and data collected at 156~GHz in an indoor environment. The performance is measured using blockage detection probability, mean time to blockage and false alarm rate. The paper explains the spectral analysis offers a simple and effective way to enable proactive blockage detection for future sub-terahertz wireless networks.</p> http://jist.ir/en/Article/Download/49037