Intelligent Reflecting Surface-Aided Secure Broadcasting in Millimeter Wave Symbiotic Radio Networks
| العنوان: | Intelligent Reflecting Surface-Aided Secure Broadcasting in Millimeter Wave Symbiotic Radio Networks |
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| المؤلفون: | Chao Wang, Zan Li, Derrick Wing Kwan Ng, Tong-Xing Zheng, Naofal Al-Dhahir |
| المصدر: | IEEE Transactions on Vehicular Technology. 70:11050-11055 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Optimization problem, Computer Networks and Communications, Computer science, business.industry, Iterative method, Aerospace Engineering, 020302 automobile design & engineering, 02 engineering and technology, Broadcasting, Base station, 0203 mechanical engineering, Automotive Engineering, Extremely high frequency, Secrecy, Mobile telephony, Radio frequency, Electrical and Electronic Engineering, business, Computer network |
| الوصف: | This paper investigates secure broadcast communications in intelligent reflecting surface (IRS)-aided millimeter wave (mmWave) symbiotic radio (SR) networks, where the IRS and the base station (BS) are cooperating. Specifically, the IRS assists secure broadcasting for the BS by smartly reconfiguring the phase shifts of the signals from the BS, while delivering its own information to an Internet-of-Things device (IoD). We aim at maximizing the minimum secrecy rate of multiple users by jointly designing the hybrid precoder at the BS and the passive beamformer at the IRS, subject to the rate constraints of both the multiple users and the IoD. The design is formulated as a non-convex optimization problem, which is intractable. To handle it, we develop a computationally efficient iterative algorithm based on the successive convex approximation, the efficiency and superiority of which have been validated by simulation results. |
| تدمد: | 1939-9359 0018-9545 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::023fbf300f1b6cf0857729d66a12d02c https://doi.org/10.1109/tvt.2021.3108452 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........023fbf300f1b6cf0857729d66a12d02c |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19399359 00189545 |
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