Large Intelligent Surface/Antennas (LISA): Making Reflective Radios Smart

By Ying-Chang Liang, Ruizhe Long, Qianqian Zhang, Jie Chen, Hei Victor Cheng, Huayan Guo. J. Commun. Inf. Networks, 2019

309 citations recorded by the source corpus.

Large intelligent surface/antennas (LISA), a two-dimensional artificial structure with a large number of reflective-surface/antenna elements, is a promising reflective radio technology to construct programmable wireless environments in a smart way. Specifically, each element of the LISA adjusts the reflection of the incident electromagnetic waves with unnatural properties, such as negative refraction, perfect absorption, and anomalous reflection, thus the wireless environments can be software-defined according to various design objectives. In this paper, we introduce the reflective radio basics, including backscattering principles, backscatter communication, and reflective relay, and the fundamentals and implementations of LISA technology. Then, we present an overview of the state-of-the-art research on emerging applications of LISA-aided wireless networks. Finally, the limitations, challenges, and open issues associated with LISA for future wireless applications are discussed.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/842987ac1bd8813c720ee7368fe4a7b05d0971d0

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Citations in the corpus

A Joint Precoding Framework for Wideband Reconfigurable Intelligent Surface-Aided Cell-Free Network (2020, methodology): “Compared with the traditional cell-free network, the proposed RIS-aided cell-free network can achieve wider signal coverage [13], higher spectrum [32], and higher energy efficiency [15].”
Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming (2019, background): “intelligent reflecting surface (IRS) [6] has attracted extensive attention [7].”
Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design (2020, background): “As discussed in several works, they can be calculated based on knowledge of only the users’ AoAs (which depend on their locations) and angular spread in the environment, both of which can be accurately learned and tracked at the BS [1], [31] 4 .”
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities (2020, background): “Recently, with the advent of reconfigurable intelligent surfaces (RIS) and the emergence of the concept of the smart radio environment [1], [2], we might be able to also”
RIS-Aided Wireless Communications: Prototyping, Adaptive Beamforming, and Indoor/Outdoor Field Trials (2021, background): “Such metamaterials have unique electromagnetic properties that do not exist in nature [14], such as, negative refraction [15], perfect absorption, and anomalous reflection/scattering [16].”
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019, background): “Along with the optimal control of the legacy RF transceivers, IRS-assisted wireless systems will become more ﬂexible to support diverse user requirements, e.g., enhanced data rate, extended coverage, minimized power consumption, and more secure transmissions [12]–[14].”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead (2020, background): “During the last two years, several survey and tutorial papers on the application of RISs to the design of wireless networks have been published [26], [27], [28], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55].”
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, background): “Depending on the amplitude and phase shift features of reflecting elements, two sets of IRS assumptions are considered as follows [45]:”
Active Reconfigurable Intelligent Surface-Aided Wireless Communications (2021, background): “In general, more REs provide better performance in SNR as presented in [1].”
An Optimal Channel Estimation Scheme for Intelligent Reflecting Surfaces Based on a Minimum Variance Unbiased Estimator (2019, background): “An overview of channel estimation techniques for IRS aided communication is provided in [6, 7].”
Intelligent Reflecting Surface-Aided Wireless Communications: A Tutorial (2020, background): “[19] Discuss the implementations, applications, and open research problems of LISA as well as its differences and connections with backscatter communication.”
Reconfigurable Intelligent Surfaces: Principles and Opportunities (2020, background): “Additionally, current research contributions mainly consider the performance optimization for both single-user and multi-user scenarios by optimizing the phase shift and/or pre-coding solutions of the RIS-enhanced system [6], [18], [95], [133], [134].”