TY - JOUR
T1 - User cooperation for IRS-aided secure MIMO systems
AU - Zhou, Gui
AU - Pan, Cunhua
AU - Ren, Hong
AU - Wang, Kezhi
AU - Chai, Kok Keong
AU - Wong, Kai-Kit
PY - 2022/3
Y1 - 2022/3
N2 - An intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel wherein the angular direction of the eavesdropper (ED) is aligned with a legitimate user. A two-phase communication system under active attacks and passive eavesdropping is considered in this scenario. The base station avoids direct transmission to the attacked user in the first phase, whereas other users cooperate in forwarding signals to the attacked user in the second phase, with the help of IRS and energy harvesting technology. Under the occurrence of active attacks, an outage-constrained beamforming design problem is investigated under the statistical cascaded channel error model, which is solved by using the Bernstein-type inequality. An average secrecy rate maximization problem for the passive eavesdropping is formulated, which is then addressed by a low-complexity algorithm. The numerical results of this study reveal that the negative effect of the ED's channel error is larger than that of the legitimate user.
AB - An intelligent reflecting surface (IRS) is proposed to enhance the physical layer security in the Rician fading channel wherein the angular direction of the eavesdropper (ED) is aligned with a legitimate user. A two-phase communication system under active attacks and passive eavesdropping is considered in this scenario. The base station avoids direct transmission to the attacked user in the first phase, whereas other users cooperate in forwarding signals to the attacked user in the second phase, with the help of IRS and energy harvesting technology. Under the occurrence of active attacks, an outage-constrained beamforming design problem is investigated under the statistical cascaded channel error model, which is solved by using the Bernstein-type inequality. An average secrecy rate maximization problem for the passive eavesdropping is formulated, which is then addressed by a low-complexity algorithm. The numerical results of this study reveal that the negative effect of the ED's channel error is larger than that of the legitimate user.
KW - intelligent reflecting surface (IRS)
KW - reconfigurable intelligent surface (RIS)
KW - robust design
KW - energy harvesting
KW - physical layer security
U2 - 10.23919/icn.2022.0001
DO - 10.23919/icn.2022.0001
M3 - Article
VL - 3
SP - 86
EP - 102
JO - Intelligent and Converged Networks
JF - Intelligent and Converged Networks
SN - 2708-6240
IS - 1
ER -