Joint sensing and communication for situational awareness in wireless THz systems |
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Author: | Chaccour, Christina1; Saad, Walid1; Semiari, Omid2; |
Organizations: |
1Bradley Department of Electrical and Computer Engineering, Wireless @ VT, Virginia Tech, Arlington, VA, USA 2Department of Electrical and Computer Engineering, University of Colorado, Colorado Springs, CO, USA 3Centre for Wireless Communications, University of Oulu, Finland
4Department of Electronic Systems, Aalhorg University, Denmark
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Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 5.8 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2023021026771 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
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Publish Date: | 2023-02-10 |
Description: |
AbstractNext-generation wireless systems are rapidly evolving from communication-only systems to multi-modal systems with integrated sensing and communications. In this paper a novel joint sensing and communication framework is proposed for enabling wireless extended reality (XR) at terahertz (THz) bands. To gather rich sensing information and a higher line-of-sight (LoS) availability, THz-operated reconfigurable intelligent surfaces (RISs) acting as base stations are deployed. The sensing parameters are extracted by leveraging THz’s quasi-opticality and opportunistically utilizing uplink communication waveforms. This enables the use of the same waveform, spectrum, and hardware for both sensing and communication purposes. The environmental sensing parameters are then derived by exploiting the sparsity of THz channels via tensor decomposition. Hence, a high-resolution indoor mapping is derived so as to characterize the spatial availability of communications and the mobility of users. Simulation results show that in the proposed framework, the resolution and data rate of the overall system are positively correlated, thus allowing a joint optimization between these metrics with no tradeoffs. Results also show that the proposed framework improves the system reliability in static and mobile systems. In particular, the highest reliability gains of 10% are achieved in a walking speed mobile environment compared to communication only systems with beam tracking. see all
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Series: |
IEEE International Conference on Communications |
ISSN: | 1550-3607 |
ISSN-E: | 1938-1883 |
ISSN-L: | 1550-3607 |
ISBN: | 978-1-5386-8347-7 |
ISBN Print: | 978-1-5386-8348-4 |
Pages: | 3772 - 3777 |
DOI: | 10.1109/icc45855.2022.9838764 |
OADOI: | https://oadoi.org/10.1109/icc45855.2022.9838764 |
Host publication: |
ICC 2022 - IEEE International Conference on Communications |
Conference: |
IEEE International Conference on Communications |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This research was supported by the U.S. National Science Foundation under grants CNS-2007635, CNS-2008646, and CNS-1836802; and by EU-CHISTERA project LeadingEdge, CONNECT, 6G Flagship (6GENESIS), as well as in part by the Villium Investigator Grant "WATER" from the Velux Foundations, Denmark. |
Copyright information: |
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