Secrecy rate optimization for intelligent reflecting surface aided multi‐input‐single‐output terahertz communication

Chen, Wenjie; Chen, Zhi; Ma, Xinying; Chi, Yaojia; Li, Zhuoxun

doi:10.1002/mop.32373

Cited by 10 publications

(8 citation statements)

References 16 publications

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“…Where a multiple antennas BS, is considered, communicating a secure messages to a single user (Bob) in the presence of a single Eve, both having a single antenna. In [38], [40]- [42], optimization problems are proposed to maximize the SR at the legitimate user by jointly optimizing the beamforming at the BS and the phase shifts at the RIS. Due to the intractability of this problem, different methodologies have been adopted.…”

Section: ) Single Bob and Evementioning

confidence: 99%

“…Due to the intractability of this problem, different methodologies have been adopted. In [38], RIS discrete phase shifts is assumed and an AO method is followed, where for a given RIS phase shifts matrix, the optimal BS precoder is obtained using Rayleigh-Ritz theorem. On the other hand, for a given BS precoder matrix, a cross-entropy-based algorithm is adopted to optimize the RIS phase shifts matrix.…”

Section: ) Single Bob and Evementioning

confidence: 99%

“…Jamming is a common technique to deny the eavesdropper from receiving any useful signal, which can be done even actively as in [47], [49], [50] or passively with the aid of an illegitimate RIS as in [48]. Wang et al [49], considered the energy efficiency by optimizing the beamforming at the transmitter, as in [36], [38], [47], aided by a cooperative jamming with the support of an optimized RIS phase shifts. An SDR-based energy-efficiency maximization problem is defined to optimize the transmit power, the independent cooperative jamming, and the RIS reflection coefficients under a constraint on the SR.…”

Section: ) Multiple Bobs or Evesmentioning

confidence: 99%

See 2 more Smart Citations

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

Almohamad

Tahir

Al‐Kababji

et al. 2020

IEEE Open J. Commun. Soc.

110

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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: ) Single Bob and Evementioning

confidence: 99%

Section: ) Single Bob and Evementioning

confidence: 99%

Section: ) Multiple Bobs or Evesmentioning

confidence: 99%

See 1 more Smart Citation

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

Almohamad

Tahir

Al‐Kababji

et al. 2020

IEEE Open J. Commun. Soc.

110

View full text Add to dashboard Cite

show abstract

“…Online and streaming recommender systems [17]: most hybrid recommender systems are designed for batch processing; i.e., the initial model is constructed from static data and the model is periodically reconstructed on all data as new data arrive. However, keeping the recommendation model up-to-date with the arrival of new data is an important requirement to ensure the quality of recommendations [18].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Optimization of an Intelligent Music‐Playing System Based on Network Communication

Zhang

2021

Complexity

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Streaming media server is the core system of audio and video application in the Internet; it has a wide range of applications in music recommendation. As song libraries and users of music websites and APPs continue to increase, user interaction data are generated at an increasingly fast rate, making the shortcomings of the original offline recommendation system and the advantages of the real-time streaming recommendation system more and more obvious. This paper describes in detail the working methods and contents of each stage of the real-time streaming music recommendation system, including requirement analysis, overall design, implementation of each module of the system, and system testing and analysis, from a practical scenario. Moreover, this paper analyzes the current research status and deficiencies in the field of music recommendation by analyzing the user interaction data of real music websites. From the actual requirements of the system, the functional and performance goals of the system are proposed to address these deficiencies, and then the functional structure, general architecture, and database model of the system are designed, and how to interact with the server side and the client side is investigated. For the implementation of data collection and statistics module, this paper adopts Flume and Kafka to collect user behavior data and uses Spark Streaming and Redis to count music popularity trends and support efficient query. The recommendation engine module in this paper is designed and optimized using Spark to implement incremental matrix decomposition on data streams, online collaborative topic model, and improved item-based collaborative filtering algorithm. In the system testing section, the functionality and performance of the system are tested, and the recommendation engine is tested with real datasets to show the discovered music themes and analyze the test results in detail.

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“…Similarly, to enhance the security of the IRS assisted THz system, the work in [57] aims to maximize the secrecy rate with low complexity and high secure performance. In addition, the alternating optimization algorithm is also used to iteratively design the precoder and discrete phase-shifts matrix [58]. In contrast with the multiple-input single-output (MISO) systems, the IRS assisted multiple-input multiple-output (MIMO) systems is more meaningful at high frequency bands [59][60][61], which employs a large number of array antennas to conquer the serious path loss at both transmitter and receiver.…”

Section: Irs Empowered Secure Thz Communicationsmentioning

confidence: 99%

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

et al. 2021

Self Cite

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Terahertz (THz) communications have been widely envisioned as a promising enabler to provide adequate bandwidth and achieve ultra-high data rates for sixth generation (6G) wireless networks. In order to mitigate blockage vulnerability caused by serious propagation attenuation and poor diffraction of THz waves, an intelligent reflecting surface (IRS), which manipulates the propagation of incident electromagnetic waves in a programmable manner by adjusting the phase shifts of passive reflecting elements, is proposed to create smart radio environments, improve spectrum efficiency and enhance coverage capability. Firstly, some prospective application scenarios driven by the IRS empowered THz communications are introduced, including wireless mobile communications, secure communications, unmanned aerial vehicle (UAV) scenario, mobile edge computing (MEC) scenario and THz localization scenario. Then, we discuss the enabling technologies employed by the IRS empowered THz system, involving hardware design, channel estimation, capacity optimization, beam control, resource allocation and robustness design. Moreover, the arising challenges and open problems encountered in the future IRS empowered THz communications are also highlighted. Concretely, these emerging problems possibly originate from channel modeling, new material exploration, experimental IRS testbeds and intensive deployment. Ultimately, the combination of THz communications and IRS is capable of accelerating the

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Secrecy rate optimization for intelligent reflecting surface aided multi‐input‐single‐output terahertz communication

Cited by 10 publications

References 16 publications

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

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

[Retracted] Optimization of an Intelligent Music‐Playing System Based on Network Communication

Towards intelligent reflecting surface empowered 6G terahertz communications: A survey

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