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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2501.14270 |
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| _version_ | 1866915119818080256 |
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| author | Jayarathne, Harindu Wickremasinghe, Tharindu Hemachandra, Kasun T. Samarasinghe, Tharaka Atapattu, Saman |
| author_facet | Jayarathne, Harindu Wickremasinghe, Tharindu Hemachandra, Kasun T. Samarasinghe, Tharaka Atapattu, Saman |
| contents | This paper investigates an intelligent reflective surface (IRS) assisted secure multi-user two-way communication system. The aim of this paper is to enhance the physical layer security by optimizing the minimum secrecy-rate among all user-pairs in the presence of a malicious user. The optimization problem is converted into an alternating optimization problem consisting of two sub-problems. Transmit power optimization is handled using a fractional programming method, whereas IRS phase shift optimization is handled with semi-definite programming. The convergence of the proposed algorithm is investigated numerically. The performance gain in minimum secrecy-rate is quantified for four different user configurations in comparison to the baseline scheme. Results indicate a 3.6-fold gain in minimum secrecy rate over the baseline scheme when the IRS is positioned near a legitimate user, even when the malicious user is located close to the same legitimate user. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_14270 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Max-Min Fairness for IRS-Assisted Secure Two-Way Communications Jayarathne, Harindu Wickremasinghe, Tharindu Hemachandra, Kasun T. Samarasinghe, Tharaka Atapattu, Saman Information Theory This paper investigates an intelligent reflective surface (IRS) assisted secure multi-user two-way communication system. The aim of this paper is to enhance the physical layer security by optimizing the minimum secrecy-rate among all user-pairs in the presence of a malicious user. The optimization problem is converted into an alternating optimization problem consisting of two sub-problems. Transmit power optimization is handled using a fractional programming method, whereas IRS phase shift optimization is handled with semi-definite programming. The convergence of the proposed algorithm is investigated numerically. The performance gain in minimum secrecy-rate is quantified for four different user configurations in comparison to the baseline scheme. Results indicate a 3.6-fold gain in minimum secrecy rate over the baseline scheme when the IRS is positioned near a legitimate user, even when the malicious user is located close to the same legitimate user. |
| title | Max-Min Fairness for IRS-Assisted Secure Two-Way Communications |
| topic | Information Theory |
| url | https://arxiv.org/abs/2501.14270 |