Intelligent Blockage Recognition using Cellular mmWave Beamforming Data: Feasibility Study

Bram van Berlo, Yang Miao, Rizqi Hersyandika, Nirvana Meratnia, Tanir Özçelebi, Andre Kokkeler, Sofie Pollin

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)
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Joint Communication and Sensing (JCAS) is envisioned for 6G cellular networks, where sensing the operation environment, especially in presence of humans, is as important as the high-speed wireless connectivity. Sensing, and subsequently recognizing blockage types, is an initial step towards signal blockage avoidance. In this context, we investigate the feasibility of using human motion recognition as a surrogate task for blockage type recognition through a set of hypothesis validation experiments using both qualitative and quantitative analysis (visual inspection and hyperparameter tuning of deep learning (DL) models, respectively). A surrogate task is useful for DL model testing and/or pre-training, thereby requiring a low amount of data to be collected from the eventual JCAS environment. Therefore, we collect and use a small dataset from a 26 GHz cellular multi-user communication device with hybrid beamforming. The data is converted into Doppler Frequency Spectrum (DFS) and used for hypothesis validations. Our research shows that (i) the presence of domain shift between data used for learning and inference requires use of DL models that can successfully handle it, (ii) DFS input data dilution to increase dataset volume should be avoided, (iii) a small volume of input data is not enough for reasonable inference performance, (iv) higher sensing resolution, causing lower sensitivity, should be handled by doing more activities/gestures per frame and lowering sampling rate, and (v) a higher reported sampling rate to STFT during pre-processing may increase performance, but should always be tested on a per learning task basis.
Originele taal-2Engels
Titel2022 IEEE Global Communications Conference (GLOBECOM) Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's7
ISBN van elektronische versie978-1-6654-3540-6
StatusGepubliceerd - 11 jan. 2023
Evenement2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual/Online, Rio de Janeiro, Brazilië
Duur: 4 dec. 20228 dec. 2022


Congres2022 IEEE Global Communications Conference, GLOBECOM 2022
Verkorte titelGLOBECOM 2022
StadRio de Janeiro
Internet adres


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