Kaur, J. , Shawky, M. , Mollel, M. S. , Popoola, O. , Imran, M. A. , Abbasi, Q. H. and Abbas, H. T. (2023) AI-enabled CSI fingerprinting for indoor localisation towards context-aware networking in 6G. In: IEEE Wireless Communications and Networking Conference (WCNC2023), Glasgow, Scotland, UK, 26-29 March 2023, ISBN 9781665491228 (doi: 10.1109/WCNC55385.2023.10118652)
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Abstract
The spatial distribution of cellular networks has made them very promising to use for localization. By knowing the location of a user, cellular networks can provide context-aware services customized to that user. Objects and the dynamic nature of indoor locations result in lots of multipath and non-line-of-sight (NLOS) propagations. In this work, we carry out a novel experimental investigation to improve indoor localization using a grid approach with channel state information (CSI) fingerprinting and artificial intelligence (AI)/ machine learning (ML) methods for determining the location of a mobile device. Experiments are conducted in a standard indoor setting. This paper compares a method for indoor positioning based on received signal strength identifier (RSSI), phase, and CSI using ML to show how the accuracy of indoor localization can be improved. Compared to heuristic approaches like DOA estimation, the precision of ML is superior.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Popoola, Dr Olaoluwa and Imran, Professor Muhammad and Shawky, Mr Mahmoud and Abbas, Dr Hasan and Mollel, Dr Michael and Abbasi, Professor Qammer and Kaur, Jaspreet |
| Authors: | Kaur, J., Shawky, M., Mollel, M. S., Popoola, O., Imran, M. A., Abbasi, Q. H., and Abbas, H. T. |
| College/School: | College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
| ISSN: | 1558-2612 |
| ISBN: | 9781665491228 |
| Related URLs: |
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