Sum Rate Optimization for Two Way Communications With Intelligent Reflecting Surface

Zhang, Yu; Zhong, Caijun; Zhang, Zhaoyang; Lu, Weidang

doi:10.1109/lcomm.2020.2978394

Cited by 136 publications

(107 citation statements)

References 22 publications

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“…In [6] and [7], compared with the above works, these works took into account the IRS with discrete phase shits instead of the IRS with continuous phase shifts, IRS with discrete phase shifts was investigated for MISO systems with a single user and multiple users. In IRSaided systems with wireless networks, in addition to sumrate optimization of systems addressed in above these papers, many other problems have also been investigated in the literature, including information rate maximization in [14], [16]- [21], channel estimation in [15], [36], and positioning in [37], [37]- [39]. To summarize, these studies show that the IRS is beneficial for enhancing the performance of various wireless communication systems, e.g., sum-rate, channel estimation accuracy, and energy efficiency.…”

Section: A Related Workmentioning

confidence: 99%

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Secure Wireless Transmission for Intelligent Reflecting Surface-Aided Millimeter-Wave Systems

Xiu

Zhang

2020

IEEE Access

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Due to the broadcast nature of millimeter wave (mmWave) communications, physical layer security has always been a fundamental but challenging concern. Fortunately, the recent advance of intelligent reflecting surface (IRS) introduces another dimension for mmWave secure communications by reconfiguring the transmission environments. In this paper, we investigate the physical layer security issue for IRS-aided mmWave communications. Specifically, two scenarios are considered, i.e., with and without the knowledge of the eavesdropper's channel. When the eavesdropper's channel is known, under the unit modulus constraints at the IRS and the transmit power constraint at the access point (AP), the secrecy rate is maximized by jointly designing the beamforming vector of the AP and the phase shifts of the IRS. We propose an alternating optimization algorithm for improving the secrecy rate to solve the non-convex optimization problem. In particular, the phase shift matrix of the IRS is firstly optimized based on the manifold optimization algorithm. Under the given phase shift matrix of the IRS, the original problem is transformed into a difference of convex (DC) programming problem. To solve this problem, we use the successive convex approximation (SCA)-based method to transform the original problem into a convex approximation problem, and the transmit beamforming vector is obtained by solving the convex approximation problem. In addition, when the eavesdropper's channel is unknown, under the transmit power constraint and the minimum user rate constraint, an artificial-noise (AN)-aided scheme is proposed to jam the eavesdropper by maximizing the AN power. Numerical results evaluate that the performance of our proposed schemes is better than that of the conventional scheme in terms of secrecy rate. Moreover, simulations also demonstrate that the secrecy behaviors of the IRS-aided mmWave communication system are superior to the mmWave communications without IRS.

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Section: A Related Workmentioning

confidence: 99%

“…Based on Theorem 1, it is not difficult to find that constraint (18) is a standard DC form. Then, we replace (12b), (12c), and (12d) with (13), (14), and (18). Problem (12) can be rewritten as a DC programming problem…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Secure Wireless Transmission for Intelligent Reflecting Surface-Aided Millimeter-Wave Systems

Xiu

Zhang

2020

IEEE Access

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“…Various studies over the IRS-aided wireless systems have been increasingly made [14]- [19], [22], [41]- [43]. In [14], the authors consider a downlink IRS-aided wireless communication system. A capacity analysis of the uplink IRSaided massive multiple-input and multiple-output (MIMO) system was presented in [16].…”

Section: A Related Workmentioning

confidence: 99%

“…Thus, (14) is linear and convex. We replace the equalities in (11) and (12) with the inequalities in (13b) and (13c).…”

Section: A Transmit Beamforming Optimization Problemmentioning

confidence: 99%

Wireless Secure Signal Transmission for Distributed Intelligent Surface-Aided Millimeter Wave Systems

Xiu

Zhang

2020

IEEE Access

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The optimization of the secrecy rate of the distributed intelligent reflecting surfaces (IRSs)assisted millimeter wave (mmWave) communication system is studied in this paper. In this system, the users are served by multiple IRSs, and by adjusting the switch state of each IRS and optimizing the phase shift of the IRS to maximize the secrecy rate of the system. The problem is described as a joint IRS control, transmit beamforming design problem. Our objective is to maximize the secrecy rate of the distributed IRSs-aided system under the transmit power constraint of the access point (AP). Since the problem is nonconvex, one alternating optimization algorithm is proposed for solving this problem. We use the successive convex approximation (SCA) algorithm to solve it, and the solution that is obtained by the SCA algorithm guarantees to converge to a stable point that satisfies the Karush-Kuhn-Tucker (KKT) conditions. Moreover, by using the dual method, we obtain the IRS switch. For the IRS phase shifts optimization problem, a lowcomplexity majorization-minimization (MM) algorithm is used to solve this problem. Numerical results show that the proposed scheme can achieve higher secrecy rate compared with the single IRS-aided scheme.

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“…Later on, taking into account of the practical constraint of discrete phase shift, a mixed-integer non-linear program problem is formulated to jointly optimize the transmit beam and phase shifts [7]. In addition, the integration of IRS with other transmission technologies has been investigated, such as orthogonal frequency division multiple access (OFDMA) [8], non-orthogonal multiple access (NOMA) [10], physical layer security [11], two-way relaying [12], and millimeter wave communications [13].…”

Section: Introductionmentioning

confidence: 99%

Statistical CSI based design for intelligent reflecting surface assisted MISO systems

Wang

Zhong

2020

Sci. China Inf. Sci.

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This paper considers an intelligent reflecting surface (IRS) aided multiple-input single-output communication system, where statistical channel state information (CSI) is exploited for transmit beamforming and IRS beamforming. A tight upper bound is derived for the ergodic capacity of the system. Based on which, the joint optimization of transmit beam and IRS beam are studied. Depending on whether a line-of-sight path exists between the access point and user, two different cases, namely, Rician fading and Rayleigh fading, are separately treated. Specifically, for the Rician fading case, an iterative algorithm is proposed, which is guaranteed to converge. For the Rayleigh fading case, closed-form designs are obtained for the transmit beam and IRS beam. Simulation results show the proposed beamforming scheme achieves similar performance as the benchmark algorithm requiring instantaneous CSI.

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Sum Rate Optimization for Two Way Communications With Intelligent Reflecting Surface

Cited by 136 publications

References 22 publications

Secure Wireless Transmission for Intelligent Reflecting Surface-Aided Millimeter-Wave Systems

Secure Wireless Transmission for Intelligent Reflecting Surface-Aided Millimeter-Wave Systems

Wireless Secure Signal Transmission for Distributed Intelligent Surface-Aided Millimeter Wave Systems

Statistical CSI based design for intelligent reflecting surface assisted MISO systems

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