Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces

Yu, Xianghao; Xu, Dongfang; Schober, Robert

doi:10.1109/globecom38437.2019.9014322

Cited by 336 publications

(276 citation statements)

References 49 publications

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“…The metasurface technology has recently gained interest in wireless communications, under names such as IRS [7], large intelligent surface [8], and software-controlled metasurfaces [9,10]. Several promising use cases of this technology, such as for range extension to users with obstructed direct links [7,8,11,12], joint wireless information and power transmission in internet of things (IoT) networks [13], physical layer security [14,15], unmanned air vehicle (UAV) communications [16] have been studied. Still, the IRS-aided wireless communication systems are new and remain largely unexplored.…”

Section: Introductionmentioning

confidence: 99%

Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications

Özdogan

Björnson

Larsson

2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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An intelligent reflecting surface (IRS), consisting of reconfigurable metamaterials, can be used to partially control the radio environment and thereby bring new features to wireless communications. Previous works on IRS have particularly studied the range extension use case and under what circumstances the new technology can beat relays. In this paper, we study another use case that might have a larger impact on the channel capacity: rank improvement. One of the classical bottlenecks of point-to-point MIMO communications is that the capacity gains provided by spatial multiplexing are only large at high SNR, and high SNR channels are mainly appearing in line-of-sight (LoS) scenarios where the channel matrix has low rank and therefore does not support spatial multiplexing. We demonstrate how an IRS can be used and optimized in such scenarios to increase the rank of the channel matrix, leading to substantial capacity gains.

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Section: Introductionmentioning

confidence: 99%

Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications

Özdogan

Björnson

Larsson

2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…11 until the objective value in (P0) reaches convergence. 12 Obtain v fromṽ according to (13). and the n-th element in w ss and w pp by w ss (n) and w pp (n), respectively.…”

Section: Proposed Solutionsmentioning

confidence: 99%

Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing

2020

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In cognitive radio (CR) communication systems, it is challenging to achieve high rate for the secondary user (SU) in the presence of strong cross-link interference with the primary user (PU). In this letter, we exploit the recently proposed intelligent reflecting surface (IRS) to tackle this problem. Specifically, we investigate an IRS-assisted CR system where an IRS is deployed to assist in the spectrum sharing between a PU link and an SU link. We aim to maximize the achievable SU rate subject to a given signal-to-interference-plus-noise ratio (SINR) target for the PU link, by jointly optimizing the SU transmit power and IRS reflect beamforming. Although the formulated problem is difficult to solve due to its non-convexity and coupled variables, we propose an efficient algorithm based on alternating optimization and successive convex approximation techniques to solve it suboptimally, as well as some heuristic designs of lower complexity. Simulation results show that IRS is able to significantly improve the SU rate, even for the scenarios deemed highly challenging in conventional CR systems without the IRS.

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“…where Θ 0 in constraint C6, Rank(Θ) = 1 in constraint C7, and Θ ∈ H M+1 are imposed to ensure that Θ = θ θ H holds after optimization. We note that rank-one constraint C7 stemming from the unit-modulus constraint is an obstacle to solving problem (21). In the literature, SDR is commonly adopted to tackle the rank-one constraint [19].…”

Section: C3mentioning

confidence: 99%

Resource Allocation for Intelligent Reflecting Surface Enabled Heterogeneous Networks

Xu¹,

Qin²,

Yu³

et al. 2020

Preprint

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In this paper, we investigate resource allocation algorithm design for intelligent reflecting surface (IRS)-assisted multiuser cognitive radio (CR) systems. In particular, an IRS is deployed to mitigate the interference caused by the secondary network to the primary users. The beamforming vectors at the base station (BS) and the phase shift matrix at the IRS are jointly optimized for maximization of the sum rate of the secondary system. The algorithm design is formulated as a non-convex optimization problem taking into account the maximum interference tolerance of the primary users. To tackle the resulting non-convex optimization problem, we propose an alternating optimizationbased suboptimal algorithm exploiting semidefinite relaxation, the penalty method, and successive convex approximation. Our simulation results show that the system sum rate is dramatically improved by our proposed scheme compared to two baseline schemes. Moreover, our results also illustrate the benefits of deploying IRSs in CR networks.

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Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces

Cited by 336 publications

References 49 publications

Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications

Using Intelligent Reflecting Surfaces for Rank Improvement in MIMO Communications

Joint Power Control and Passive Beamforming in IRS-Assisted Spectrum Sharing

Resource Allocation for Intelligent Reflecting Surface Enabled Heterogeneous Networks

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