Dangana, M., Ansari, S. , Hussain, S. and Imran, M. A. (2022) NB-IoT Performance Analysis and Evaluation in Indoor Industrial Environment. In: 1st IEEE Workshop on Sustainable and Intelligent Green Internet of Things for 6G and Beyond (VTC2022), Helsinki, Finland, 19-22 June 2022, ISBN 9781665482431 (doi: 10.1109/VTC2022-Spring54318.2022.9860792)
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Abstract
Narrow Band Internet of Things (NB-IoT) is one of the drivers of industry 4.0 and the study of its wireless behavior in Indoor industrial environments has become important. This is because of the unfavorable conditions poised to wireless propagation as a result of the presence of heavy-duty equipment and the physical structure of industrial buildings. In this paper, an indoor industry was modeled to present some of the reflective characteristics and its effects on wireless propagation, particularly large-scale fading. The results obtained which include propagation paths, path loss, and impulse response showed how the environment affected the wireless transmission of NB-IoT. However, to mitigate this challenge, a collaborative scheme is introduced to improve the transmission among the affected NB-IoT terminals. The proposed scheme resulted in a collective improvement in path loss value by 30.44%.
Item Type: | Conference Proceedings |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | DANGANA, MUHAMMAD and Ansari, Dr Shuja and Imran, Professor Muhammad and Hussain, Dr Sajjad |
Authors: | Dangana, M., Ansari, S., Hussain, S., and Imran, M. A. |
College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity |
ISSN: | 2577-2465 |
ISBN: | 9781665482431 |
Published Online: | 25 August 2022 |
Copyright Holders: | Copyright © 2022 IEEE |
First Published: | First published in 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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