IRS-Assisted Millimeter Wave Communications: Joint Power Allocation and Beamforming Design

Xiu, Yue; Zhao, Yang; Liu, Yang; Zhao, Jun; Yağan, Osman; Wei, Ning

doi:10.48550/arxiv.2001.07467

Cited by 8 publications

(9 citation statements)

References 59 publications

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“…Most of the existing works focus on THz and mmWave based technologies, cf. [35]- [37]. However, recent studies have been conducted to introduce RIS in optical communication networks, cf.…”

Section: B Alternative Signaling Technologiesmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces in Challenging Environments: Underwater, Underground, Industrial and Disaster

Kisseleff,

Chatzinotas,

Ottersten

2020

Preprint

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Reconfigurable intelligent surfaces (RISs) have been introduced to improve the signal propagation characteristics by focusing the signal power in the preferred direction, thus making the communication environment 'smart'. The typical use cases and applications for the 'smart' environment include beyond 5G communication networks, smart cities, etc. The main advantage of employing RISs in such networks is a more efficient exploitation of spatial degrees of freedom. This advantage manifests in better interference mitigation as well as increased spectral and energy efficiency due to passive beam steering.Challenging environments (CEs) comprise a range of scenarios, which share the fact that it is extremely difficult to establish a communication link using conventional technology due to many impairments typically associated with the propagation medium and increased signal scattering. Although the challenges for the design of communication networks in such environments are known, there is no common enabler or solution for all these applications. Interestingly, the use of RISs in such scenarios can become such an enabler and a game changer technology. Surprisingly, the benefits of RIS for wireless networking in underwater and underground medium as well as in industrial and disaster environments have not been addressed yet. This paper aims at filling this gap by providing a motivation for the application of RISs in CEs. In addition, novel research challenges to be addressed in this context are discussed.Index Terms-Reconfigurable intelligent surfaces, challenging environments, underground, underwater, industrial, emergency networks, Internet of Things I. INTRODUCTIONR ECONFIGURABLE intelligent surfaces (RISs) is a promising technology, which has been motivated by the increasing demands of wireless networks beyond 5G [1]. RISs are intelligently designed artificial planar structures with reconfigurable properties enabled via integrated electronic circuits. These electronic circuits can be programmed to reflect an impinging electromagnetic (EM) wave in a controlled manner, thus making the communication environment controllable and smart. RISs are manufactured with low-profile and light weight using inexpensive materials and can be deployed on a variety of surfaces, such as facades of buildings, walls, ceilings, etc. [2]. The signal propagation from transmitters to receivers can therefore be assisted by steering the RIS-reflected signals in directions that enhance the signal quality, suppress cochannel interference and consequently improve the spectral efficiency. The corresponding performance gains of RISassisted networks compared to current wireless systems are well-known from the previous works in this domain [3]. Furthermore, co-channel interference can be reduced or avoided by choosing different propagation paths for the interfering signals. This is important in urban environments with dense deployment of terminals, cf. [4].Challenging environment (CE) refers to a communication environment, in which the signal propagati...

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“…Most of the existing works focus on THz and mmWave based technologies, cf. [35]- [37]. However, recent studies have been conducted to introduce RIS in optical communication networks, cf.…”

Section: B Alternative Signaling Technologiesmentioning

confidence: 99%

Reconfigurable Intelligent Surfaces in Challenging Environments: Underwater, Underground, Industrial and Disaster

Kisseleff,

Chatzinotas,

Ottersten

2020

Preprint

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“…With assumption that the BS and IRSs are located at a higher altitude, the channels between them are assumed to be LoS dominant. Thus the BS-to-th IRS channel can be modeled as a rank-one matrix [6],…”

Section: B Channel Modelmentioning

confidence: 99%

“…Wang et al in [5], propose an algorithm to maximize users received power by joint active and passive beamforming in multi-IRSs assisted communications. Also in [6], a joint power allocation and beamforming design for maximizing the weighted sum rate in the mmWave systems where multi-IRSs are employed is proposed.…”

Section: Introductionmentioning

confidence: 99%

Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks

Rafieifar,

Razavizadeh

2020

Preprint

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In this paper, the problem of physical layer security enhancement in a millimeter-wave (mmWave) network equipped with multiple Intelligent Reflecting Surfaces (IRSs) is investigated. In this network, the IRSs assist in signal transmission from the Base Station (BS) to desired users and at the same time in securing signals from an unauthorized eavesdropper. Our objective is to maximize the secrecy rate by jointly optimizing the active and passive beamformers at the base station and IRSs, respectively. The optimization problem is non-convex and hence, we solve it by decomposing it into two disjoint active and passive beamforming design sub-problems and then iteratively solving them by alternating and Semi-Definite Relaxation (SDR) techniques. Simulation results show the advantage of using multiple IRSs in secrecy rate enhancement of the mmWave networks. In addition, we show how the secrecy rate improves with the number of IRSs in the network and also with the number of reflecting elements at the IRS.

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“…Millimeter-wave (mmWave) technologies have been considered as a promising technology for 5G communications, due to its abundant spectrum and high data rates [1], [2]. However, due to the high propagation loss, the mmWave signals are easily blocked by obstacles.…”

Section: Introductionmentioning

confidence: 99%

Secure Beamforming for Multiple Intelligent Reflecting Surfaces Aided mmWave Systems

Xiu,

Zhao,

Yuen

et al. 2020

Preprint

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In this letter, we investigate the beamforming in a distributed intelligent reflecting surfaces (IRSs)-aided millimeterwave (mmWave) system, where a multi-antenna base station (BS) tries to send a secure message to a single antenna user. Assuming the user's channel and eavesdropper's channel is perfectly known at the BS. This problem is posed as a joint optimization problem of transmit beamforming and IRS control. Our objective is to maximize the secrecy rate under the total transmission power and unit-modulus constraints. The problem is difficult to solve optimally due to their nonconvexity and coupled variables, and we propose an alternating optimization (AO) scheme based on successive convex approximation (SCA) and manifold optimization (MO) techniques. Numerical simulations show that the proposed AO scheme can effectively improve the secrecy rate and outperforms conventional schemes.

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IRS-Assisted Millimeter Wave Communications: Joint Power Allocation and Beamforming Design

Cited by 8 publications

References 59 publications

Reconfigurable Intelligent Surfaces in Challenging Environments: Underwater, Underground, Industrial and Disaster

Reconfigurable Intelligent Surfaces in Challenging Environments: Underwater, Underground, Industrial and Disaster

Secrecy Rate Maximization in Multi-IRS Millimeter Wave Networks

Secure Beamforming for Multiple Intelligent Reflecting Surfaces Aided mmWave Systems

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