Secrecy Performance Analysis of RIS-Aided Wireless Communication Systems

Yang, Liang; Yang, Jinxia; Xie, Wenwu; Hasna, Mazen O.; Tsiftsis, Theodoros A.; Renzo, Marco Di

doi:10.1109/tvt.2020.3007521

Cited by 269 publications

(174 citation statements)

References 20 publications

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“…A double Rayleigh distribution is assumed between the mobile ends, and the Meijer G-function is used to obtain the probability distribution function (PDF) of the received source, which slightly complicates the analysis. The reported results are similar to those in [24]. Furthermore, the authors study the effect of varying the number of RIS's reflecting elements and the distance between the source and the RIS.…”

Section: -(A)supporting

confidence: 79%

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Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

Almohamad

Tahir

Al‐Kababji

et al. 2020

IEEE Open J. Commun. Soc.

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With the emergence of the internet of things (IoT) technology, wireless connectivity should be more ubiquitous than ever. In fact, the availability of wireless connection everywhere comes with security threats that, unfortunately, cannot be handled by conventional cryptographic solutions alone, especially in heterogeneous and decentralized future wireless networks. In general, physical layer security (PLS) helps in bridging this gap by taking advantage of the fading propagation channel. Moreover, the adoption of reconfigurable intelligent surfaces (RIS) in wireless networks makes the PLS techniques more efficient by involving the channel into the design loop. In this paper, we conduct a comprehensive literature review on the RIS-assisted PLS for future wireless communications. We start by introducing the basic concepts of RISs and their different applications in wireless communication networks and the most common PLS performance metrics. Then, we focus on the review and classification of RIS-assisted PLS applications, exhibiting multiple scenarios, system models, objectives, and methodologies. In fact, most of the works in this field formulate an optimization problem to maximize the secrecy rate (SR) or secrecy capacity (SC) at a legitimate user by jointly optimizing the beamformer at the transmitter and the RIS's coefficients, while the differences are in the adopted methodology to optimally/sub-optimally approach the solution. We finalize this survey by presenting some insightful recommendations and suggesting open problems for future research extensions.

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Section: -(A)supporting

confidence: 79%

“…Yang et al [24] studies the secrecy performance of an RISassisted SISO communication link in the presence of a lineof-sight (LoS) links between the RIS and the eavesdropper and the legitimate user. Single RIS is considered with N reflecting elements placed between the source and the legitimate user.…”

Section: -(A)mentioning

confidence: 99%

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

Almohamad

Tahir

Al‐Kababji

et al. 2020

IEEE Open J. Commun. Soc.

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“…Similar to [14 ], we assume that E has the multiuser detection ability, and it can use the parallel interference cancellation technology to intercept the different users' signals. Then, the received SNR at E is

γ_{E n} = \frac{{|h_{E} d_{SE}^{- χ / 2} + \frac{\sum_{i = 1}^{N} α_{m i} β_{normalE m i} e^{j (ϕ_{m i} - θ_{m i} - δ_{m i})}}{d_{{SR}_{m}}^{χ / 2} d_{R_{m} normalE}^{χ / 2}}|}^{2} c_{n}^{2} E s}{N_{normalE}} = B^{2} c_{n}^{2}

where

n = false(m 1, m 2 false)

and

B^{2}

follows the exponential distribution with parameter

λ_{normalE}

[16 ] and its PDF can be written as

f_{B^{2}} false(y false) = \frac{1}{λ_{normalE}} normalexp (- \frac{y}{λ_{E}})

where

λ_{normalE} = N {\overset{false¯}{γ}}_{{normalSR}_{m} E} + {\overset{false¯}{γ}}_{normalSE}

{\overset{false¯}{γ}}_{{normalSR}_{m}}

…”

Section: System and Channel Modelsmentioning

confidence: 99%

Secrecy outage probability analysis for RIS‐assisted NOMA systems

Yang

Yuan

2020

Electron. lett.

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In this Letter, the physical layer security for a novel reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) system in a multiuser scenario is investigated, where the authors consider the worst case that the eavesdropper also utilises the advantage of the RISs. More specifically, they derive analytical results for the secrecy outage probability (SOP). From the numerical results, they observe that the use of RISs can improve the secrecy performance compared to traditional NOMA systems. However, for the worst case that the received signals at the eavesdropper come from the RISs and source, increasing the number of intelligent elements on the RIS has a negative impact on the secrecy performance. At high signal-to-noise ratios, the system's SOP tends to a constant. Finally, the secrecy performance can be improved through group selection. Introduction: 5G has been commercialised in 2020, and nonorthogonal multiple access (NOMA) plays a key role in this. NOMA has been used for many scenarios to solve the problems caused by the explosive growth of the number of mobile terminals [1]. Unlike the traditional orthogonal multiple access (OMA) system structure, powerdomain NOMA serves more users at the same time and frequency based on the power allocation of the transmitted signals. Consequently, NOMA can enhance the communication quality of users in poor channel conditions [2]. In wireless communication systems, the signals are broadcast so that physical layer security (PLS) has become a hot issue. In [3], PLS for cooperative NOMA systems was investigated, where both decode-and-forward and amplify-and-forward were considered. Recently, a new material called reconfigurable intelligent surfaces (RIS) has been proposed. RISs have a large number of application scenarios in wireless communication and even change the traditional communication structure [4]. So far, there are many works based on RISs that have been reported in [5-11]. For example, the authors in [5] proposed highly accurate closed-form approximations to channel distributions of RIS-based wireless systems. A RIS-assisted dual-hop unmanned aerial vehicle (UAV) communication system was proposed in [6]. The authors in [7] quantitatively analysed the coverage for a RIS-aided communication system. A RIS-aided downlink multiuser communication system was investigated in [8]. Moreover, an important application of RISs is to combine with NOMA to further improve communication quality. For instance, in [9], the authors proposed a theoretical performance comparison between NOMA and OMA in RIS-assisted downlink communication. The authors in [10] derived the BER performance of the RIS-assisted power domain NOMA system. In [11], the authors studied both downlink and uplink RIS-aided NOMA and OMA networks. However, considering the PLS for the RIS-aided NOMA system is still not reported in the literature. Therefore, this is the main innovation of this work. In this Letter, we propose a RIS-assisted multiuser NOMA system. In particular, we assume th...

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“…RISs have various potential applications in wireless communications, which include the design of secure wireless systems based on the concept of physical layer security (e.g., [9]- [14]). In [9]- [12], the authors investigated optimization problems to jointly design the beamforming vectors and phase shifts at the transmitter and RIS, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…However, the instantaneous eavesdropping CSI is difficult to obtain in practice, since the Eves are usually passive and do not actively communicate with other nodes. Motivated by this consideration, the authors of [13] and [14] considered RIS-assisted secrecy communications without assuming the knowledge of the instantaneous eavesdropping CSI. In particular, the authors of [13] proposed a joint beamforming and jamming scheme to enhance the secrecy rate, and the authors of [14] analyzed the secrecy outage probability at the RIS.…”

Section: Introductionmentioning

confidence: 99%