Physical Layer Security Performance Analysis of the FD-Based NOMA-VC System

Xie, Wenwu; Liao, Jianwu; Yu, Chao; Zhu, Peng; Liu, Xinzhong

doi:10.1109/access.2019.2936036

Cited by 9 publications

(11 citation statements)

References 19 publications

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“…References [47] and [48] have studied PLS performance of a full-duplex relay assisted NOMA V2V communication networks under Rayleigh and Nakagami-m fading channels, respectively. Also, the authors in [49] have studied the intercept probability performance of NOMA-enabled V2V systems under cascaded Rayleigh channels.…”

Section: B Motivation and Challengesmentioning

confidence: 99%

Physical Layer Security Performance of NOMA-Aided Vehicular Communications Over Nakagami-$m$ Time-Selective Fading Channels With Channel Estimation Errors

Jaiswal

Pandey

Yadav

et al. 2023

IEEE Open J. Veh. Technol.

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This paper considers a single-input-multiple-output non-orthogonal multiple access enabled vehicular communication system, and investigates its secrecy performance over time-selective fading and channel estimation errors. We formulate two scenarios considering the decoding ability at eavesdropper, viz., 1) Scenario I: when it has sufficient decoding capability, and 2) Scenario II: when its decoding capability can be the same as the legitimate vehicles. Under such a realistic system setup, we derive the secrecy outage probability (SOP) and ergodic secrecy capacity expressions for both legitimate vehicles and the overall system under both Scenarios I & II over Nakagami-m fading channels. We then analyze the asymptotic SOP limits of both legitimate vehicles under Scenarios I & II, by formulating cases based on the average transmit signal-to-noise ratio and average channel gains associated with the main links and wiretap link. From the asymptotic analysis under these cases, it is observed that both legitimate vehicles do not achieve any secrecy diversity order even after leveraging the benefits of fading severity parameters and multiple antennas. We also formulate several special cases of interest to reveal some more insightful information about the system's secrecy performance. Finally, we corroborate our analytical and theoretical findings via simulation results.INDEX TERMS Physical layer security, non-orthogonal multiple access (NOMA), vehicular communications, time-varying errors, channel estimation errors, Nakagami-m fading channels.

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Section: B Motivation and Challengesmentioning

confidence: 99%

Physical Layer Security Performance of NOMA-Aided Vehicular Communications Over Nakagami-$m$ Time-Selective Fading Channels With Channel Estimation Errors

Jaiswal

Pandey

Yadav

et al. 2023

IEEE Open J. Veh. Technol.

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“…Outage probability expressions are derived for near and far user nodes whether they are on the roads (vehicle, cyclist, pedestrian) or outside the roads (BS, road side unit) in [31]. The secrecy outage probability performance of a NOMA-based vehicular communication system is analyzed and closed-form analytical expressions for the FD/HD relaying protocols over Nakagami-m fading channels are derived in [32]. The outage performance analysis of cooperative vehicular networks is made and the closedform outage probability expressions are obtained in [33] when the MRC technique is applied at the relay.…”

Section: A Related Workmentioning

confidence: 99%

NOMA-enabled Cooperative V2V Communications with Fixed-Gain AF Relaying

Kosu

Ata

2023

Balkan Journal of Electrical and Computer Engineering

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By virtue of its improving bandwidth efficiency along with user fairness, non-orthogonal multiple access (NOMA) technique is considered a promising method for next-generation wireless communication systems. Since fading effect of wireless channels in vehicle-to-vehicle (V2V) communication systems are more severe than those in traditional systems, in this study, we employ the power-domain downlink NOMA technique in cooperative V2V communication systems to enhance data transmission capacity and network efficiency. In the proposed system, the base station communicates with two vehicular nodes, namely near and far users, through a relay vehicle employing the fixed-gain amplify-and-forward scheme. In real-life scenarios, the relay and the users move in high velocities; hence, the corresponding fading channels between these nodes are exposed as having double-Rayleigh fading characteristic in which the fading coefficient of a wireless channel is modeled as the product of two Rayleigh distributed random variables. To analyze the system performance, we first investigate the outage probability and derive its exact closed-form expressions for the near and far users. Then, we make the exact ergodic capacity analysis and obtain the closed-form solution for the near user. Furthermore, outage and ergodic performances of the NOMA-enabled system are compared to the simulation results of the traditional orthogonal multiple access approach. We also give analytic and numerical results to evaluate the performance of the proposed system and show the consistency of Monte-Carlo simulations with analytical derivations. It is observed that even with the small power allocation, both performances of the near user mostly outperform the far user.

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“…Specifically, the authors in [27] studied the secrecy performance of a two-user cooperative NOMA network for both amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols. In [28], the cooperative NOMA scheme of [27] was further extended to a wiretap vehicular communication system, where closed-form expressions of the secrecy outage probability were derived for the half-duplex (HD) and full-duplex (FD) DF relaying strategies. Following the same framework in [27] and with an untrusted relay, the authors in [29] employed the cooperative jamming (or artificial noise (AN)) technique to avoid the eavesdropping attacks.…”

Section: Introductionmentioning

confidence: 99%

“…Pr { P 1 |h ie | 2 P s |h se | 2 + σ 2 e > γ e2 , P 2 |h ie | 2 σ −2 e > γ e2 λ se γ e2 P 1 λ ie + P s λ se γ e2 Q 4i = Pr{P s |h se | 2 < γ e2 (P 1 |h ie | 2 + σ 2 e ), P s |h se | 2 > σ 2 e γ e2 (1 − γ e2 ) −1 , P 2 |h ie | 2 > σ 2 e γ e2 } + Pr{P 1 |h ie | 2 (P s |h se | 2 + σ 2 e ) −1 > γ e2 , P s |h se | 2 σ −2 e 1 − γ e2 < γ e2 , P 2 |h ie | 2 σ 2 e > γ e2 }, (C.10)where the first and second terms on the right side of (C.10) are denoted by ϕ 1i and ϕ 2i , respectively. By employing the basic probability theory, ϕ 1i is given by By carrying out some mathematical manipulations, the ϕ 1i is written as(28).Additionally, the calculation of ϕ 2i is divided into two cases as well. In the cases of…”

mentioning

confidence: 99%