Improving Physical Layer Security of Cooperative NOMA System with Wireless-Powered Full-Duplex Relaying

Ren, Yuan; Tan, Yizheng; Makhanbet, Meruyert; Zhang, Xuewei

doi:10.3390/info12070279

Cited by 8 publications

(8 citation statements)

References 17 publications

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“…Now, by using Jensen's inequality, the lower bound (lb) of the Ergodic secrecy sum rate (ESSR) for our system can be written as [31]:…”

Section: B Ergodic Secrecy Sum Ratementioning

confidence: 99%

“…In this regard, physical layer security (PHY-security) is an attractive approach against wiretapping attacks as it inherently exploits the nature of the wireless broadcast medium to enhance information security [27]- [30]. There has recently been a growing interest in examining security issues with the NOMA enabled IoT networks [31]- [36].…”

Section: Introductionmentioning

confidence: 99%

“…Ren et al studied the PHY-security of a wireless-powered relay aided NOMA system [31]. The authors studied a scenario where an eavesdropper wiretaps the source node's signal.…”

Section: Introductionmentioning

confidence: 99%

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Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks

et al. 2022

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Different system models utilizing Non-orthogonal multiple access (NOMA) have been successfully studied to meet the growing capacity demands of the Internet of Things (IoT) devices for the next-generation networks. However, analyzing the antieavesdropping for NOMA systems under different scenarios and settings still needs further exploration before it can be practically deployed. Therefore, in this paper, we study the secrecy performance of a cooperative NOMA system in IoT networks where two source nodes communicate with their respective destination nodes via a common relay in the presence of an eavesdropper. Specifically, two source node sends their data in parallel over the same frequency band to the common relay node using uplink NOMA. Then, the relay node forwards the decoded symbols to the respective destination nodes using downlink NOMA in the presence of an eavesdropper. To enhance the security performance of the considered system, we study and propose an artificial noise (AN)aided scheme in which the two destination nodes emit a jamming signal to confuse the eavesdropper while receiving the signal from the common relay node. We also study the effect of NOMA power allocation, perfect successive interference cancellation (pSIC), and imperfect SIC (ipSIC) on the considered system. Analytical expressions for the Ergodic capacity, Ergodic secrecy sum rate (ESSR), and secrecy outage probability (SOP) are mathematically derived and verified with the simulation results. Our results demonstrate that a significantly higher ESSR and lower SOP of the system can be attained compared to a conventional NOMA system without a destination-assisted jamming signal scheme.

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“…Now, by using Jensen's inequality, the lower bound (lb) of the Ergodic secrecy sum rate (ESSR) for our system can be written as [31]:…”

Section: B Ergodic Secrecy Sum Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks

et al. 2022

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“…This secrecy capacity is determined by the difference between the main and eavesdropper channel capacities. A key metric for evaluating performance in the physical layer is the secrecy outage probability (SOP), which represents the probability that this capacity falls below a predefined target secrecy rate [8]. By assessing SOP, we gain insight into the reliability of implemented security measures, which provides a valuable tool for ensuring the effectiveness of data protection in mobile communications systems.…”

Section: Introductionmentioning

confidence: 99%

Opportunistic Scheduling Scheme to Improve Physical-Layer Security in Cooperative NOMA System: Performance Analysis and Deep Learning Design

Pramitarini,

Perdana,

Shim

et al. 2024

IEEE Access

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In this paper, we propose a novel opportunistic scheduling-based antenna-user selection (OBAUS) scheme to improve the secrecy performance of cooperative non-orthogonal multiple access (NOMA) systems in the presence of a passive eavesdropper. The proposed OBAUS scheme can be divided into two steps such as relay antenna selection, which selects the antenna at the relay to minimize the eavesdropper channel condition, and user selection which selects the received antenna at each user to maximize the main channel, respectively. To capture the relation between network parameters and secrecy performance, we derive the closed-form expression for secrecy outage probability (SOP) of cell-center and cell-edge users, respectively. Toward a real-time setting, we design the deep neural network (DNN)-based optimization that predicts each user channel capacity, the optimal values of transmit power and power allocation coefficient at the same time. Numerical results show that the proposed scheme can improve the SOP and secrecy throughput performances compared to that of the conventional scheduling scheme, called random relay-user pair antenna selection (RRUAS) scheme. Besides that, the proposed DNN-based optimization can predict the secrecy performance and find the optimal points. Compared to that of the traditional searching algorithm (2D Golden Section Searching), the proposed DNN-based optimization significantly reduces the execution time as well as reasonable secrecy performance prediction and optimal point finding. Moreover, the impact of essential network parameters such as transmit power at source and relay, the number of relay's and user's antennas, power allocation coefficient, and minimum secrecy data rates on the system secrecy performance are investigated to show the effectiveness of the proposed scheme.INDEX TERMS Cooperative non-orthogonal multiple access, deep learning, physical layer security, opportunistic scheduling scheme.

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“…For reliability and security of a system with multi-antenna users and eavesdropper, single antenna source and Nakagami-m fading channel, an imbalance in-phase and quadrature component [ 20 ] is explored for its influence on the system. An Artificial Noise ( AN )-aided cooperative communication scheme with relay firing the jamming signal [ 21 ] is proposed, where the ergodic secrecy sum-rate (ESSR) is used to evaluate the system secrecy performance.…”

Section: Introductionmentioning

confidence: 99%

Interference Management with Reflective In-Band Full-Duplex NOMA for Secure 6G Wireless Communication Systems

Khan

Tsiga

Asif

2022

Sensors

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The electromagnetic spectrum is used as a medium for modern wireless communication. Most of the spectrum is being utilized by the existing communication system. For technological breakthroughs and fulfilling the demands of better utilization of such natural resources, a novel Reflective In-Band Full-Duplex (R-IBFD) cooperative communication scheme is proposed in this article that involves Full-Duplex (FD) and Non-Orthogonal Multiple Access (NOMA) technologies. The proposed R-IBFD provides efficient use of spectrum with better system parameters including Secrecy Outage Probability (SOP), throughput, data rate and secrecy capacity to fulfil the requirements of a smart city for 6th Generation (6thG or 6G). The proposed system targets the requirement of new algorithms that contribute towards better change and bring the technological revolution in the requirements of 6G. In this article, the proposed R-IBFD mainly contributes towards co-channel interference and security problem. The In-Band Full-Duplex mode devices face higher co-channel interference in between their own transmission and receiving antenna. R-IBFD minimizes the effect of such interference and assists in the security of a required wireless communication system. For a better understanding of the system contribution, the improvement of secrecy capacity and interference with R-IBFD is discussed with the help of SOP derivation, equations and simulation results. A machine learning genetic algorithm is one of the optimization tools which is being used to maximize the secrecy capacity.

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Improving Physical Layer Security of Cooperative NOMA System with Wireless-Powered Full-Duplex Relaying

Cited by 8 publications

References 17 publications

Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks

Secrecy Performance Analysis of Cooperative Nonorthogonal Multiple Access in IoT Networks

Opportunistic Scheduling Scheme to Improve Physical-Layer Security in Cooperative NOMA System: Performance Analysis and Deep Learning Design

Interference Management with Reflective In-Band Full-Duplex NOMA for Secure 6G Wireless Communication Systems

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