Gao, Y., Hu, H., Zhang, J. et al. (3 more authors) (2024) On the performance of an integrated communication and localization system: an analytical framework. IEEE Transactions on Vehicular Technology, 72 (7). pp. 10845-10849. ISSN 0018-9545
Abstract
Localization has become a prominent use case for 6G mobile networks, and the integrated localization and communication (ILAC) system represents an inevitable trend. To design and manage such ILAC systems effectively and efficiently, quantification of its performance bound, i.e., an analytical model that reveals the trade-off between communication and localization performance, is a crucial yet unresolved task. To address this, we proposed an analytical framework for an ILAC system that achieves communication and localization. Specifically, we derived a closed-form expression of the capacity loss versus localization Cramer-Rao lower bound (CRB) loss through time-domain and frequency-domain resource allocation. Through simulations, we validated our analytical model and observed that frequencydomain resource allocation is preferable in scenarios with fewer antennas at the next generation nodeB (gNB) and a larger distance between user equipment (UE) and gNB. Conversely, time-domain resource allocation is preferable in scenarios with more antennas and a smaller distance between UE and the gNB
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a article published in IEEE Transactions on Vehicular Technology is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Integrated Communication and Localization; Resource Allocation; Performance Bound |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number UK RESEARCH AND INNOVATION 101086219 EP/X038971/1 UK Research and Innovation EP/X038971/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Feb 2024 11:21 |
Last Modified: | 11 Nov 2024 13:16 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TVT.2024.3364257 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:208750 |
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Filename: Yuan Gao_Capacity and localization accuracy.pdf
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