TY - GEN
T1 - Secure beamforming optimization for IRS-NOMA networks via artificial jamming
AU - Wang, Wei
AU - Liu, Xin
AU - Tang, Jie
AU - Zhao, Nan
AU - Chen, Yunfei
AU - Ding, Zhiguo
AU - Wang, Xianbin
N1 - Funding Information:
Nan Zhao is the corresponding author ([email protected]). The work was supported by the National Key R&D Program of China under Grant 2020YFB1807002.
Funding Information:
The work was supported by the National Key RandD Program of China under Grant 2020YFB1807002
Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/28
Y1 - 2021/7/28
N2 - In this paper, we incorporate intelligent reflecting surface (IRS) into non-orthogonal multiple access (NOMA) networks to achieve secure communication via artificial jamming, where the multi-antenna base station sends the NOMA and jamming superposition to the legitimate users with the assistance of IRS, in the presence of a single-antenna passive eavesdropper. The transmit beamforming, the jamming vector and the IRS reflecting vector are jointly optimized to maximize the sum rate of legitimate users, satisfying the quality of service requirement, the IRS reflecting constraint and the successive interference cancellation (SIC) decoding condition. In addition, the received jamming power is adapted at the highest level at all legitimate users for successful cancellation via SIC. To address it, we first decompose it into two subproblems, and then each subproblem is converted into convex using successive convex approximation. Then an alternate algorithm is proposed to solve them iteratively. Numerical results demonstrate the secure transmission in the proposed IRS-NOMA scheme can be effectively guaranteed with the assistance of artificial jamming.
AB - In this paper, we incorporate intelligent reflecting surface (IRS) into non-orthogonal multiple access (NOMA) networks to achieve secure communication via artificial jamming, where the multi-antenna base station sends the NOMA and jamming superposition to the legitimate users with the assistance of IRS, in the presence of a single-antenna passive eavesdropper. The transmit beamforming, the jamming vector and the IRS reflecting vector are jointly optimized to maximize the sum rate of legitimate users, satisfying the quality of service requirement, the IRS reflecting constraint and the successive interference cancellation (SIC) decoding condition. In addition, the received jamming power is adapted at the highest level at all legitimate users for successful cancellation via SIC. To address it, we first decompose it into two subproblems, and then each subproblem is converted into convex using successive convex approximation. Then an alternate algorithm is proposed to solve them iteratively. Numerical results demonstrate the secure transmission in the proposed IRS-NOMA scheme can be effectively guaranteed with the assistance of artificial jamming.
KW - Artificial jamming
KW - Beamforming optimization
KW - Intelligent reflecting surface
KW - Non-orthogonal multiple access
KW - Physical layer security
UR - http://www.scopus.com/inward/record.url?scp=85119354606&partnerID=8YFLogxK
U2 - 10.1109/ICCC52777.2021.9580330
DO - 10.1109/ICCC52777.2021.9580330
M3 - Conference contribution
AN - SCOPUS:85119354606
T3 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
SP - 623
EP - 628
BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
Y2 - 28 July 2021 through 30 July 2021
ER -