MISO Wireless Communication Systems via Intelligent Reflecting Surfaces : (Invited Paper)

By Xianghao Yu, Dongfang Xu, Robert Schober. 2019 IEEE/CIC International Conference on Communications in China (ICCC), 2019

417 citations recorded by the source corpus.

Intelligent reflecting surfaces (IRSs) have received considerable attention from the wireless communications research community recently. In particular, as low-cost passive devices, IRSs enable the control of the wireless propagation environment, which is not possible in conventional wireless networks. To take full advantage of such IRS-assisted communication systems, both the beamformer at the access point (AP) and the phase shifts at the IRS need to be optimally designed. However, thus far, the optimal design is not well understood. In this paper, a point-to-point IRS-assisted multiple-input single-output (MISO) communication system is investigated. The beamformer at the AP and the IRS phase shifts are jointly optimized to maximize the spectral efficiency. Two efficient algorithms exploiting fixed point iteration and manifold optimization techniques, respectively, are developed for solving the resulting non-convex optimization problem. The proposed algorithms not only achieve a higher spectral efficiency but also lead to a lower computational complexity than the state-of-the-art approach. Simulation results reveal that deploying large-scale IRSs in wireless systems is more efficient than increasing the antenna array size at the AP for enhancing both the spectral and the energy efficiency.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/a84d02ba7052ab0e9cf8bc3c0e1a5bcdd622da34

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Citations in the corpus

Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-User Communications: Achievable Rates With Limited Discrete Phase Shifts (2019, methodology): “In [11], a point-to-point RIS-assisted multi-input single-out system has been investigated where the beamformer at the transmitter and continuous phase shifts of the RIS are jointly optimized to maximize the sum rate.”
Wireless Communications Through Reconfigurable Intelligent Surfaces (2019, background): “For the same system, the authors of [80] focused their attention on optimizing the transmit beamformer and RIS phases, and proposed two algorithms to jointly optimize the beamformer at the AP and the phase shifts at the RIS by considering the maximum achievable spectral efficiency.”
Enabling Secure Wireless Communications via Intelligent Reflecting Surfaces (2019, background): “There are several studies on the design of IRS-assisted wireless systems [6]–[10].”
Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems (2020, methodology): “, E[‖vH‖(2)F /‖(v )H‖(2)F ], where v and v are respectively obtained via solving the joint beamforming problem [25] based”
Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems (2019, methodology): “proposed low complexity algorithms based on MM (Majorization–Minimization or Minorization–Maximization) algorithm in [8] and manifold optimization in [12] to design reflection coefficients with the targets of maximizing the security capacity and spectral efficiency communications, respectively.”
Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart (2019, methodology): “In order to overcome the performance loss of the SDR method caused by the rank relaxation, manifold optimization based method was further adopted in [35] to resolve the joint beamforming problem in a more efficient way.”
Reconfigurable Intelligent Surfaces Assisted Communications With Limited Phase Shifts: How Many Phase Shifts Are Enough? (2019, neutral): “In [3], beamforming and continuous phase shifts of the RIS were optimized jointly to maximize the sum rate for an RIS assisted point-to-point communication system.”
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces (2019, methodology): “[13] proposed a pair of efficient fixed point iteration and manifold optimization techniques for solving the same problem as in [12].”
Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems (2020, methodology): “The fix point iteration algorithm has the lowest running time [6], while the time consumed increases promptly as N increases, which is as expected since more optimization variables are involved.”
Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2019, background): “[8] proposed a pair of efficient algorithms termed as fixed point iteration and manifold optimization techniques, which can guarantee locally optimal solutions.”
Beam Focusing for Near-Field Multi-User MIMO Communications (2021, methodology): “In particular, we show that the sum-rate maximization problem for such hybrid antennas can be tackled using manifold optimization techniques for sum-rate optimization in far-ﬁeld communications aided by RISs [25]–[28].”
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications (2020, methodology): “In the following, we assume that Ĥ and Ĥ has been first used for computing Φ via the fixed point method proposed in [55].”
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, methodology): “[31] maximized the SE for an IRS-aided point-to-point MISO transmission, where the non-convex unit modulus constraint at the IRS was handled by the fixed point iteration and manifold optimization methods.”
Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems (2021, methodology): “This is a very typical problem in the field of RIS and can be efficiently solved by various algorithms, such as the manifold optimization in [10].”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (2020, background): “In [165], the authors maximize the spectral efficiency of an RIS-aided point-to-point MISO system.”