Intelligent Reflecting Surface Aided Multigroup Multicast MISO Communication Systems

By Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Arumgam Nallanathan. IEEE Transactions on Signal Processing, 2019

301 citations recorded by the source corpus.

Intelligent reflecting surface (IRS) has recently been envisioned to offer unprecedented massive multiple-input multiple-output (MIMO)-like gains by deploying large-scale and low-cost passive reflection elements. By adjusting the reflection coefficients, the IRS can change the phase shifts on the impinging electromagnetic waves so that it can smartly reconfigure the signal propagation environment and enhance the power of the desired received signal or suppress the interference signal. In this paper, we consider downlink multigroup multicast communication systems assisted by an IRS. We aim for maximizing the sum rate of all the multicasting groups by the joint optimization of the precoding matrix at the base station (BS) and the reflection coefficients at the IRS under both the power and unit-modulus constraint. To tackle this non-convex problem, we propose two efficient algorithms under the majorization–minimization (MM) algorithm framework. Specifically, a concave lower bound surrogate objective function of each user's rate has been derived firstly, based on which two sets of variables can be updated alternately by solving two corresponding second-order cone programming (SOCP) problems. Then, in order to reduce the computational complexity, we derive another concave lower bound function of each group's rate for each set of variables at every iteration, and obtain the closed-form solutions under these loose surrogate objective functions. Finally, the simulation results demonstrate the benefits in terms of the spectral and energy efficiency of the introduced IRS and the effectiveness in terms of the convergence and complexity of our proposed algorithms.

View Paper: https://www.semanticscholar.org/paper/1973dfe851cd5a80901e49d5791aa8a2062dff98

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Reconfigurable Intelligent Surfaces for 6G Systems: Principles, Applications, and Research Directions (2021, unknown): “To deal with this issue, an RIS-aided multicast architecture was proposed in [11] as shown in Fig.”
A Framework of Robust Transmission Design for IRS-Aided MISO Communications With Imperfect Cascaded Channels (2020, background): “Fortunately, it is observed that the cascaded BS-IRS-user channels, which are the product of the BS-IRS channel and the IRS-user channels, are sufficient for the joint active and passive beamforming design [8]–[11].”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (2020, background): “In [152], the authors consider a MISO multi-group multicast”
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces (2019, background): “Most recently, some initial efforts have been devoted to the transmitter design of IRS-assisted wireless communication systems, including the single-user case of [15]–[18], the downlink multiuser case of [19]–[23], wireless power transfer design of [24], mobile edge computing of [25], multicast scen”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead (2020, background): “In [151], the authors consider a MISO multi-group multicast system in which an RIS is used to assist the communication.”
An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems (2021, unknown): “cell systems [107], [152], [153], physical layer security systems [89], [93], [94], [103], [104], [154], [155], simultaneous wireless information and power transfer (SWIPT) [105], [114], [119], [156]–[160], mobile edge computing networks [80], [117], [161]–[166], multicast networks [102], [167], cog”
Reconfigurable Intelligent Surface Aided NOMA Networks (2019, methodology): “previous research, continuous amplitude coefficients and phase shifts were assumed at the RISs [24], whilst in practice the phase shifts of RISs may not be continuous.”
Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer (2019, methodology): “communication systems, including the single-user scenarios of [7]–[11], the downlink multiple-user scenarios of [12]–[15], the physical layer security design of [16]–[21], the mobile edge computing (MEC) networks of [22], multigroup multicast networks of [23] and the multicell multiuser multiple-inp”
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019, methodology): “The joint optimization of the LT’s transmit beamforming and the IRS’s phase shift matrix is approximately solved by BCD and MM algorithms, similar to that in [134], [140].”
Modeling and Architecture Design of Reconfigurable Intelligent Surfaces Using Scattering Parameter Network Analysis (2020, background): “Due to the potential advantages, RIS has been investigated in various wireless communication systems including multiple-input single-output (MISO) [7], [8], multiple-input multiple-output (MIMO) [9], multicell [10], and multigroup multicast [11].”