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Li, X., Tian, Z., He, W., Chen, G., Gursoy, M.C., Mumtaz, S. 
ORCID: 0000-0001-6364-6149 and Nallanathan, A.,
2024.
Covert communication of STAR-RIS aided NOMA networks.
IEEE Transactions on Vehicular Technology.
ISSN 0018-9545
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Abstract
This paper investigates covert communication in simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted non-orthogonal multiple access (NOMA) systems, assuming for the sake of being more practical that the successive interference cancellation (SIC) is defective. To assess the covertness performance of the considered system, we first derive closed-form expressions for the detection error probability, the optimal judgment threshold and the average minimum detection error probability of the warden, as well as the outage probability of the NOMA user pair. Then an optimization problem to maximize the effective covert rate (ECR) is proposed. Simulation results verify that the maximum ECR of the considered system could be increased by varying the different proportions of transmission and reflection components of the STAR-RIS.
| Item Type: | Journal article | ||||||
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| Publication Title: | IEEE Transactions on Vehicular Technology | ||||||
| Creators: | Li, X., Tian, Z., He, W., Chen, G., Gursoy, M.C., Mumtaz, S. and Nallanathan, A. | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| Date: | 4 January 2024 | ||||||
| ISSN: | 0018-9545 | ||||||
| Identifiers: |
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| Rights: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 22 Jan 2024 15:10 | ||||||
| Last Modified: | 22 Jan 2024 15:10 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/50716 |
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