Improving Physical-Layer Security for CRNs Using SINR-Based Cooperative Beamforming

Zhu, Fengchao; Mao, Yao

doi:10.1109/tvt.2015.2412152

Cited by 86 publications

(57 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This model has been well justified in the secure resource allocation literature [29], [38], [39]. As a result, the interference outage constraint to the PU can be neglected in the sequel, as we focus on the requirement of secure communication relying on the constraints (18b)-(18d).…”

Section: Problem Formulationmentioning

confidence: 99%

Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

Fei

Chu

et al. 2018

IEEE Trans. Veh. Technol.

129

View full text Add to dashboard Cite

Abstract-Cognitive satellite-terrestrial networks (CSTNs) have been recognized as a promising network architecture for addressing spectrum scarcity problem in next-generation communication networks. In this paper, we investigate the secure transmission for CSTNs where the terrestrial base station (BS) serving as a green interference resource is introduced to enhance the security of the satellite link. Adopting a stochastic model for the channel state information (CSI) uncertainty, we propose a secure and robust beamforming framework to minimize the transmit power, while satisfying a range of outage (probabilistic) constraints concerning the signal-to-interference-plus-noise ratio (SINR) recorded at the satellite user and the terrestrial user, the leakage-SINR recorded at the eavesdropper, as well as the interference power recorded at the satellite user. The resulting robust optimization problem is highly intractable and the key observation is that the highly intractable probability constraints can be equivalently reformulated as the deterministic versions with Gaussian statistics. In this regard, we develop two robust reformulation methods, namely S-Procedure and Bernstein-type inequality restriction techniques, to obtain a safe approximate solution. In the meantime, the computational complexities of the proposed schemes are analyzed. Finally, the effectiveness of the proposed schemes are demonstrated by numerical results with different system parameters.

show abstract

Section: Problem Formulationmentioning

confidence: 99%

Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

Fei

Chu

et al. 2018

IEEE Trans. Veh. Technol.

129

View full text Add to dashboard Cite

show abstract

“…Additionally, the physical layer security in satellite communication is considered in [170] where the beamforming and power allocation under the individual secrecy rate constraints are designed for minimizing the overall transmission power used by all beams. In a new cognitive radio network as described in [228], a cooperative beamforming scheme is proposed to minimize the transmission power of a secondary transmitter while providing different SINR for an eavesdropper, a primary receiver, and multiple secondary receivers. The problems of power minimization by beamforming/precoding are also raised in simultaneous wireless information and power transfer systems considering multifarious settings.…”

Section: )mentioning

confidence: 99%

A Survey of Optimization Approaches for Wireless Physical Layer Security

Wang

Bai

Zhao

et al. 2019

IEEE Commun. Surv. Tutorials

197

102

View full text Add to dashboard Cite

Due to the malicious attacks in wireless networks, physical layer security has attracted increasing concerns from both academia and industry. The research on physical layer security mainly focuses either on the secrecy capacity/achievable secrecy rate/capacity-equivocation region from the perspective of information theory, or on the security designs from the viewpoints of optimization and signal processing. Because of its importance in security designs, the latter research direction is surveyed in a comprehensive way in this paper. The survey begins with typical wiretap channel models to cover common scenarios and systems. The topics on physical-layer security designs are then summarized from resource allocation, beamforming/precoding, and antenna/node selection and cooperation. Based on the aforementioned schemes, the performance metrics and fundamental optimization problems are discussed, which are generally adopted in security designs. Thereafter, the state of the art of optimization approaches on each research topic of physical layer security is reviewed from four categories of optimization problems, such as secrecy rate maximization, secrecy outrage probability minimization, power consumption minimization, and secure energy efficiency maximization. Furthermore, the impacts of channel state information on optimization and design are discussed. Finally, the survey concludes with the observations on potential future directions and open challenges.

show abstract

“…In (30), O(·) represents for the big-O notation. On the other hand, the computational complexity upper bound of suboptimal scheme 1 is given by 2 × ∆ SDP complexity (31) since two SDPs have to be solved in this case. Suboptimal algorithm 2 adopts a similar approach to solve the problem as suboptimal scheme 1.…”

Section: Computational Complexitymentioning

confidence: 99%

“…In [29], the authors investigated the secrecy outage probability of CR systems in the presence of a passive eavesdropper. In [30] and [31], precoding and beamforming schemes were designed to ensure communication security for MIMO multiple eavesdropper (MIMOME) CR networks and cooperative CR networks, respectively. The authors in [32] studied robust transmitter designs for secure CR networks.…”

mentioning

confidence: 99%

Robust Layered Transmission in Secure MISO Multiuser Unicast Cognitive Radio Systems

Shaqfeh

Schober

et al. 2016

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-This paper studies robust resource allocation algorithm design for a multiuser multiple-input single-output (MISO) cognitive radio (CR) downlink communication network. We focus on a secondary system which provides wireless unicast secure layered video information to multiple single-antenna secondary receivers. The resource allocation algorithm design is formulated as a non-convex optimization problem for the minimization of the total transmit power at the secondary transmitter. The proposed framework takes into account a quality of service (QoS) requirement regarding video communication secrecy in the secondary system, the imperfection of the channel state information (CSI) of potential eavesdroppers (primary receivers) at the secondary transmitter, and a limit for the maximum tolerable received interference power at the primary receivers. Thereby, the proposed problem formulation exploits the selfprotecting architecture of layered transmission and artificial noise generation to ensure communication secrecy. The considered nonconvex optimization problem is recast as a convex optimization problem via semidefinite programming (SDP) relaxation. It is shown that the global optimal solution of the original problem can be constructed by exploiting both the primal and the dual optimal solutions of the SDP relaxed problem. Besides, two suboptimal resource allocation schemes are proposed for the case when the solution of the dual problem is unavailable for constructing the optimal solution. Simulation results demonstrate significant transmit power savings and robustness against CSI imperfection for the proposed optimal and suboptimal resource allocation algorithms employing layered transmission compared to baseline schemes employing traditional single-layer transmission.

show abstract

Improving Physical-Layer Security for CRNs Using SINR-Based Cooperative Beamforming

Cited by 86 publications

References 19 publications

Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

Robust Chance-Constrained Secure Transmission for Cognitive Satellite–Terrestrial Networks

A Survey of Optimization Approaches for Wireless Physical Layer Security

Robust Layered Transmission in Secure MISO Multiuser Unicast Cognitive Radio Systems

Contact Info

Product

Resources

About