A Secure-Transmission Maximization Scheme for SWIPT Systems Assisted by an Intelligent Reflecting Surface and Deep Learning

Thien, Huynh Thanh; Tuan, Pham Viet; Koo, Insoo

doi:10.1109/access.2022.3159679

Cited by 19 publications

(11 citation statements)

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“…Summing up the representative works from another perspective, we can find some common schemes, as shown in Table 2. IRS element selection, phase-shift control and power allocation [60] Transmitter power, PS factor of UE and IRS phase shifts matrix [82] Task offloading rate, power consumption and computational overhead [94] Task offloading and resource allocation [95] Latency, interference management and computational resource management [70] Simplification of DRL decision space Adopt a decision selection network to filter inappropriate mode alterations from the action space of QNet model [75] Adopt LSTM to simplify the original state-action space and produce an approximate state-action space [94] Adopt the concept of rolling horizon control to slow down the growth of action aggregations [95] Deep learning as an alternative to traditional analytical methods…”

Section: Frequently Used Techniquesmentioning

confidence: 99%

Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

et al. 2023

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With the rapid development of enabling technologies like VR and AR, we human beings are on the threshold of the ubiquitous human-centric intelligence era. 6G is believed to be an indispensable cornerstone for efficient interaction between humans and computers in this promising vision. 6G is supposed to boost many human-centric applications due to its unprecedented performance improvements compared to 5G and before. However, challenges are still to be addressed, including but not limited to the following six aspects: Terahertz and millimeter-wave communication, low latency and high reliability, energy efficiency, security, efficient edge computing and heterogeneity of services. It is a daunting job to fit traditional analytical methods into these problems due to the complex architecture and highly dynamic features of ubiquitous interactive 6G systems. Fortunately, deep learning can circumvent the interpretability issue and train tremendous neural network parameters, which build mapping relationships from neural network input (status and specific requirements of a 6G application) to neural network output (settings to satisfy the requirements). Deep learning methods can be an efficient alternative to traditional analytical methods or even conquer unresolvable predicaments of analytical methods. We review representative deep learning solutions to the aforementioned six aspects separately and focus on the principles of fitting a deep learning method into specific 6G issues. Based on this review, our main contributions are highlighted as follows. (i) We investigate the representative works in a systematic view and find out some important issues like the vital role of deep reinforcement learning in the 6G context. (ii) We point out solutions to the lack of training data in 6G communication context. (iii) We reveal the relationship between traditional analytical methods and deep learning, in terms of 6G applications. (iv) We identify some frequently used efficient techniques in deep-learning-based 6G solutions. Finally, we point out open problems and future directions.

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Section: Frequently Used Techniquesmentioning

confidence: 99%

Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

et al. 2023

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“…By inserting concept of the IRSs, which is also termed as reconfigurable intelligent surfaces (RIS) and is one of the emerging wireless communication applications, into SWIPT-based schemes, several researches have canalized on the communications security performances [209]- [212]. The secrecy analysis of SWIPT scheme that incorporates the assistance of IRSs in the presence of an eavesdropper has been investigated in [209]. The computational complexity burden is aimed to be reduced with the help of deep-learning (DL)-based optimization approach.…”

Section: B Physical Layer Security Of Multiuser Swipt Schemesmentioning

confidence: 99%

“…The literature related to the multiuser SWIPT schemes also includes several researches that focus on the DL-based optimization approaches promising to efficiently reduce the computational complexity burden and processing time [209], [213]. The secrecy rate of PS-based SWIPT schemes has been investigated in [209] by utilizing the feasible point pursuit (FPP) and the successive convex approximation (SCA) methods. Additionally, a DL based solution has been introduced to solve the optimization problem.…”

Section: B Physical Layer Security Of Multiuser Swipt Schemesmentioning

confidence: 99%

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A Survey on Multiuser SWIPT Communications for 5G+

Özyurt¹,

Coşkun

Büyükçorak

et al. 2022

IEEE Access

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Increasing number of devices connected to the networks, applications and demands of new generation wireless communications cause very high energy consumption resulting in large amount of carbon emission. Thus, energy harvesting solutions together with accomplishing information transmission are required for energy efficient communications of new wireless communications generations such as 5G and 6G (i.e., 5G+). As such, due to the promise of energy efficient green communications, simultaneous wireless information and power transfer (SWIPT) techniques are expected to be indispensable component of 5G+. In this survey, the literature of multiuser SWIPT communications is reviewed for 5G+. Different multiuser SWIPT scenarios including multi-antenna communications, cooperative communications, network coding, communications security, and unmanned aerial vehicle (UAV)-enabled communication systems based on multiuser diversity and multiple access methods are thoroughly reviewed. The experimental studies are also discussed.

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“…Three secure modes for RIS-WPC systems were introduced and examined. In [218], RIS was utilized to maximize secure SWIPT systems with a power splitting scheme. The objective was to optimize the system's SR by choosing the optimal transmitter power and RIS phase shifts while ensuring user energy-harvesting requirements and adhering to transmit power constraints at the transmitter.…”

Section: B Integrating Ris With Enabling Technologies For Secure Comm...mentioning

confidence: 99%

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

2022

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This paper investigates the physical layer security of inband underlay Device-to-Device (D2D) communication, where the direct link between D2D users is not available. In this respect, optimal relay and suboptimal relay selections are utilized to secure the D2D transmission. The eavesdropper uses either maximal-ratio combining or selection combining to increase the wiretapped signals. The D2D secrecy performance analysis is performed regarding the secrecy outage probability (SOP) and the probability of non-zero secrecy capacity, and closed-form expressions are provided for both relay selection approaches and verified using Monte-Carlo simulation. From the numerical results, it is shown that increasing the number of D2D relays enhances the secrecy performance of D2D communications. Moreover, the exact asymptotic analysis of the SOP is provided. It turns out that the diversity order of both relay selection approaches is the same.INDEX TERMS Physical layer security, D2D communications, secrecy outage probability, optimal and suboptimal relay selection, maximal-ratio combining, and selection combining., 1

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A Secure-Transmission Maximization Scheme for SWIPT Systems Assisted by an Intelligent Reflecting Surface and Deep Learning

Cited by 19 publications

References 50 publications

Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects

A Survey on Multiuser SWIPT Communications for 5G+

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

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