Generating Measurement-based Synthetic Received Signal Power Data for 6G Sub-Terahertz Research with Micromobility and Blockage
Author(s) -
Vitalii Beschastnyi,
Margarita Ershova,
Darya Ostrikova,
Vladislav Prosvirov,
Alexander Shurakov,
Yuliya Gaidamaka,
Yevgeni Koucheryavy,
Gregory Gol'tsman
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3617323
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Blockage of propagation paths between the base station (BS) and user equipment (UE), as well as the micromobility of the UE, are known to be critical phenomena affecting the performance of 6G subterahertz/terahertz (sub-THz/THz, 0.1–0.3/0.3–3 THz) cellular systems. The development of functions that target the performance improvement of such systems requires understanding of the dynamics of the received signal. However, measurements of the signal received power (SRP) reported to date are limited to the blockage and micromobility phenomena in isolation. In this study, by utilizing individual measurements of blockage and micromobility processes, we propose a procedure for generating synthetic time series of the received signal strength simultaneously capturing blockage, micromobility, and beam-tracking procedures. Our results reveal that out of all the considered applications, only the most dynamic ones, racing game and VR, are characterized by significant differences between on-demand and regular beam tracking with 4-6.5 bits/Hz/s spectral efficiency degradation in the case of on-demand beam tracking as compared to the regular one. For applications with high-speed micromobility (VR watching and race gaming), the minimal beam tracking interval is 80 ms, whereas for low-speed applications, a period of 320 ms and even sometimes 1000 ms is sufficient. Our results show that the availability of information regarding the type of application allows one to decrease the overhead required for beam tracking by up to 20-30 times. The traces produced can be further utilized for various tasks, including the development of statistical tests for discriminating blockage and micromobility events, designing blockage detection algorithms, and improving beam tracking procedures. We made the data produced available to the research community.
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