Abstract
Blockage detection is a critical functionality for the air interface in modern 5G and future 6G systems operating in millimeter wave (mmWave, 30–300 GHz) and terahertz (0.3–3 THz) frequency bands. In operational systems, blockage has to be detected prior to its occurrence to allow for time to take some actions to avoid the loss of connectivity, e.g., switching over to the back-up link. However, up to date, most of the proposed approaches are reactive detecting blockage only when it already started. In this paper, by utilizing the special signal oscillations occurring just prior to the blockage, we propose a new method for proactive blockage detection. The proposed approach is based on a periodogram of the received signal that can be estimated efficiently using modern signal processing techniques. We then proceed comparing the proposed approach to reactive and proactive methods reported to date using the blockage detection probability as the metric of interest. Our results illustrate that the proposed approach allows to detect blockage with probability one, at least few tens of milliseconds prior to the actual blockage time instant.
This study was conducted as a part of strategic project “Digital Transformation: Technologies, Effectiveness, Efficiency” of Higher School of Economics development programme granted by Ministry of science and higher education of Russia “Priority-2030” grant as a part of “Science and Universities” national project. Support from the Basic Research Program of the National Research University Higher School of Economics is gratefully acknowledged.
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Khakimov, A., Prikhodko, A., Mokrov, E., Begishev, V., Shurakov, A., Gol’tsman, G. (2024). A New Blockage Detection Approach for 6G THz Systems. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2023 2023. Lecture Notes in Computer Science, vol 14542. Springer, Cham. https://doi.org/10.1007/978-3-031-60994-7_15
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