Performance Analysis of Blockage Detection in 6G Wireless Networks
الموضوعات : Communication Systems & Devices
Nagaraja kumar Neravati
1
,
Anil Kumar R
2
,
Subba Raju MP
3
,
Kalyani K
4
,
Surya Kala Nagireddi
5
,
Yarrapragada Rao K. S. S.
6
1 - 1Dept of ECE, Rajeev Gandhi memorial college of engineering and technology, Nandyal, India
2 - Dept of ECE, Aditya University, Surampalem, India
3 - Dept of EEE, Aditya University, Surampalem, India
4 - Aditya University, Surampalem, India
5 - Dept of Technology, Aditya University, Surampalem, India
6 - 6Aditya University, Surampalem, India
الکلمات المفتاحية: 6G, Blockage Detection, Detection Probability, STFT, sub-terahertz, ,
ملخص المقالة :
This paper presents a proactive blockage detection algorithm and performance for sub-terahertz (sub-THz) communication systems. It is a critical technology for next-generation wireless networks. Human body blockage remains a significant challenge for millimeter wave and sub-THz systems, it is often causing severe signal degradation and connectivity loss. Current solutions, predominantly time-domain approaches or machine learning models. These are suffering from high computational complexity, limited accuracy and the inability to detect blockages before they occur. The proposed algorithm overcomes these limitations by leveraging spectral-domain analysis using the short-time Fourier transform (STFT). It helps to detect the pre-blockage signatures with high precision. Blockage Detection algorithm adopts a simple and threshold-based detection mechanism. This operates in three stages: initialization, active monitoring and blockage recovery. The results demonstrate that the proposed algorithm achieves a detection probability PB exceeding 99%. It detects blockages at least 50 ms before their occurrence. Additionally, the algorithm provides superior mean time to blockage reaching 150ms for optimal parameters. This is significantly earlier than traditional methods. These findings highlight the algorithm's effectiveness in mitigating connectivity issues in dense indoor deployments and its adaptability to various network configurations. The proposed solution is well-suited for applications requiring ultra-reliable low-latency communication, augmented reality, autonomous vehicles, and industrial IoT. This offers a promising step towards seamless 6G wireless communication.
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