Secrecy rate optimization for intelligent reflecting surface aided multi‐input‐single‐output terahertz communication

2020 ◽  
Vol 62 (8) ◽  
pp. 2760-2765 ◽  
Author(s):  
Wenjie Chen ◽  
Zhi Chen ◽  
Xinying Ma ◽  
Yaojia Chi ◽  
Zhuoxun Li
Keyword(s):  
Secrecy Rate ◽  
Single Output ◽  
Terahertz Communication ◽  
Rate Optimization ◽  
Reflecting Surface

scholarly journals Intelligent Reflecting Surface-Assisted Secure Multi-Input Single-Output Cognitive Radio Transmission

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3480 ◽  
Author(s):  
Haitao Xiao ◽  
Limeng Dong ◽  
Wenjie Wang
Keyword(s):  
Cognitive Radio ◽  
Closed Form Solution ◽  
Initial Point ◽  
Green Energy ◽  
Total Power ◽  
Power Constraint ◽  
Secrecy Rate ◽  
Single Output ◽  
Bisection Search ◽  
Reflecting Surface

Intelligent reflecting surface (IRS) is a very promising technology for the development of beyond 5G or 6G wireless communications due to its low complexity, intelligence, and green energy-efficient properties. In this paper, we combined IRS with physical layer security (PLS) to solve the security issue of cognitive radio (CR) networks. Specifically, an IRS-assisted multi-input single-output (MISO) CR wiretap channel was studied. To maximize the secrecy rate of secondary users subject to a total power constraint (TPC) for the transmitter and interference power constraint (IPC) for a single antenna primary receiver (PR) in this channel, an alternating optimization (AO) algorithm is proposed to jointly optimize the transmit covariance R at transmitter and phase shift coefficient Q at IRS by fixing the other as constant. When Q is fixed, R is globally optimized by equivalently transforming the quasi-convex sub-problem to convex one. When R is fixed, bisection search in combination with minorization–maximization (MM) algorithm was applied to optimize Q from the non-convex fractional programming sub-problem. During each iteration of MM, another bisection search algorithm is proposed, which is able to find the global optimal closed-form solution of Q given the initial point from the previous iteration of MM. The convergence of the proposed algorithm is analyzed, and an extension of applying this algorithm to multi-antenna PR case is discussed. Simulations have shown that our proposed IRS-assisted design greatly enhances the secondary user’s secrecy rate compared to existing methods without IRS. Even when IPC is active, the secrecy rate returned by our algorithm increases with transmit power as if there is no IPC at all.

scholarly journals Secrecy Rate Optimization for Intelligent Reflecting Surface Assisted MIMO System

2021 ◽  
Vol 16 ◽  
pp. 1655-1669
Author(s):  
Zheng Chu ◽  
Wanming Hao ◽  
Pei Xiao ◽  
De Mi ◽  
Zilong Liu ◽  
...  
Keyword(s):  
Mimo System ◽  
Secrecy Rate ◽  
Rate Optimization ◽  
Reflecting Surface

Intelligent reflecting surface enhanced indoor terahertz communication systems

2020 ◽  
Vol 24 ◽  
pp. 100284 ◽  
Author(s):  
Xinying Ma ◽  
Zhi Chen ◽  
Wenjie Chen ◽  
Yaojia Chi ◽  
Zhuoxun Li ◽  
...  
Keyword(s):  
Communication Systems ◽  
Surface Enhanced ◽  
Terahertz Communication ◽  
Reflecting Surface

Robust secrecy rate optimisations for multiuser multiple-input-single-output channel with device-to-device communications

2015 ◽  
Vol 9 (3) ◽  
pp. 396-403 ◽  
Author(s):  
Zheng Chu ◽  
Kanapathippillai Cumanan ◽  
Zhiguo Ding ◽  
Mai Xu
Keyword(s):  
Output Channel ◽  
Secrecy Rate ◽  
Single Output ◽  
Multiple Input ◽  
Device To Device

scholarly journals A Novel Pilot Spoofing Scheme via Intelligent Reflecting Surface Based On Statistical CSI

2020 ◽  
Author(s):  
jie yang ◽  
Xinsheng Ji ◽  
Kaizhi Huang ◽  
Xiaoli Sun ◽  
Xiaoming Xu
Keyword(s):  
Original Problem ◽  
Optimal Solution ◽  
Phase Shifts ◽  
Communication Process ◽  
Secrecy Rate ◽  
Channel State ◽  
Wireless Environment ◽  
Time Division ◽  
Reflecting Surface ◽  
Secure Transmission

Pilot spoofing attack brings challenges to the physical layer secure transmission. However, since the inherent characteristics of wireless environment have not changed, active eavesdropping can be detected based on prior information. Intelligent reflecting surface (IRS), with the real-time programmable characteristics for wireless environment, provides new possibilities for effective pilot spoofing. In this paper, the IRS is deployed near the legitimate users and the control strategy is embeded into the legitimate communication process under time-division duplex (TDD) mode to assist eavesdroppers to implement pilot spoofing. By designing different phase shifts at the IRS during the uplink phase and downlink phase, the channel reciprocity between uplink and downlink disappears, and thus the secure beamforming vector is biased towards the eavesdropper. Furthermore, in order to obtain more information, the average secrecy rate based on the statistical channel state information is established by carefully designing the phase shifts. The formulated problem is non-trivial to solve. By using alternating optimization and Charnes-Cooper transformation technique, the original problem is transformed into convex form and a sub-optimal solution is achieved. Finally, simulation results show that our proposed scheme poses serious secure threat for TDD systems.

scholarly journals Energy Efficiency Design for Secure MISO Cognitive Radio Network Based on a Nonlinear EH Model

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Lei Ni ◽  
Xinyu Da ◽  
Hang Hu ◽  
Miao Zhang
Keyword(s):  
Energy Efficiency ◽  
Cognitive Radio ◽  
Optimization Problem ◽  
Optimal Solution ◽  
Primary User ◽  
Open Architecture ◽  
Maximization Problem ◽  
Transmit Beamforming ◽  
Secrecy Rate ◽  
Single Output

In this work, we investigate the secrecy energy efficiency (SEE) optimization problem for a multiple-input single-output (MISO) cognitive radio (CR) network based on a practical nonlinear energy-harvesting (EH) model. In particular, the energy receiver (ER) is assumed to be a potential eavesdropper due to the open architecture of a CR network with simultaneous wireless information and power transfer (SWIPT), such that the confidential message is prone to be intercepted in wireless communications. The aim of this work is to provide a secure transmit beamforming design while satisfying the minimum secrecy rate target, the minimum EH requirement, and the maximum interference leakage power to primary user (PU). In addition, we consider that all the channel state information (CSI) is perfectly known at the secondary transmitter (ST). We formulate this beamforming design as a SEE maximization problem; however, the original optimization problem is not convex due to the nonlinear fractional objective function. To solve it, a novel iterative algorithm is proposed to obtain the globally optimal solution of the primal problem by using the nonlinear fractional programming and sequential programming. Finally, numerical simulation results are presented to validate the performance of the proposed scheme.

On the secrecy rate of limited feedback beamforming over multiple-input single-output wiretap channels

2014 ◽  
Vol 11 (3) ◽  
pp. 118-124 ◽  
Author(s):  
Tang Yanqun ◽  
Xiong Jun ◽  
Xi Yong ◽  
Yang Yang
Keyword(s):  
Limited Feedback ◽  
Secrecy Rate ◽  
Wiretap Channels ◽  
Single Output ◽  
Multiple Input
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