2021
DOI: 10.1109/lcomm.2020.3042344
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Physical Layer Security Enhancement Exploiting Intelligent Reflecting Surface

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Cited by 105 publications
(53 citation statements)
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“…The concept of RISs as a controllable device enhance aforementioned function as of its controllability on propagation environments. Many works focus on link transmission metric [16][17][18][19][20], channel estimation [21][22][23][24], PHY security [25][26][27], and practical applications [28][29][30] to analyze performance of RISs-assisted systems. Specifically, [16] optimizes transmission power and reflection coefficient to achieve sum-rate maximization when each mobile user has QoS guarantee.…”
Section: Related Workmentioning
confidence: 99%
“…The concept of RISs as a controllable device enhance aforementioned function as of its controllability on propagation environments. Many works focus on link transmission metric [16][17][18][19][20], channel estimation [21][22][23][24], PHY security [25][26][27], and practical applications [28][29][30] to analyze performance of RISs-assisted systems. Specifically, [16] optimizes transmission power and reflection coefficient to achieve sum-rate maximization when each mobile user has QoS guarantee.…”
Section: Related Workmentioning
confidence: 99%
“…In respect of the AO algorithm, the authors in [95] considered a RIS-assisted wiretap communication system consisting of a multiple-antenna BS, a single-antenna legitimate user, one RIS, and one multiple-antenna eavesdropper. The authors designed an AO algorithm to optimize the beamforming vector at the BS under fixed RIS phase shifts.…”
Section: ) State-of-the-artmentioning
confidence: 99%
“…The authors designed an AO algorithm to optimize the beamforming vector at the BS under fixed RIS phase shifts. In contrast with the work in [95], a robust beamforming scheme for secure RIS-aided NOMA transmissions relying on AN was explored [96].…”
Section: ) State-of-the-artmentioning
confidence: 99%
“…. We present the right-hand-side (RHS) of (16,17) as the functions of a variable z, instead of t, to simplify the calculation involving ARs on the next subsection.…”
Section: Propositionmentioning
confidence: 99%
“…The first approach focuses to propose alternating optimization algorithms to optimize the phase shift of the IRS and other system parameters, such as transmit weight vectors and power allocation strategies, to maximize the system performance for given states of the wireless channels [14,15]. Similar works but in the securecommunication scenario were investigated in [16,17]. This approach requires an efficient channel state information (CSI)-acquisition method to achieve a large number of CSI during a short interval of each communication time block.…”
Section: Introductionmentioning
confidence: 99%