Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications

By Ertugrul Basar. European Conference on Networks and Communications, 2019

308 citations recorded by the source corpus.

In this paper, transmission through large intelligent surfaces (LIS) that intentionally modify the phases of incident waves to improve the signal quality at the receiver, is put forward as a promising candidate for future wireless communication systems and standards. For the considered LIS-assisted system, a general mathematical framework is presented for the calculation of symbol error probability (SEP) by deriving the distribution of the received signal-to-noise ratio (SNR). Next, the new concept of using the LIS itself as an access point (AP) is proposed. Extensive computer simulation results are provided to assess the potential of LIS-based transmission, in which the LIS acts either as an intelligent reflector or an AP with or without the knowledge of channel phases. Our findings reveal that LIS-based communications can become a game-changing paradigm for future wireless systems.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/99d556e7c9a500065eab3169354d7845f0f9befa

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Citations in the corpus

Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning (2020, unknown): “integration into existing communication systems with minor modifications on hardware [10]– [14].”
Reconfigurable Intelligent Surface Aided NOMA Networks (2019, background): “Recently, cost-efficient reconfigurable intelligent surfaces (RISs) have been proposed for cooperative NG networks [4]–[6].”
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019, background): “The authors in [94] present a general mathematical framework to derive the symbol error probability of an IRS-assisted wireless system, where the IRS acts either as a reﬂector or an access point with a simple transceiver architecture.”
Joint Transmit Waveform and Passive Beamforming Design for RIS-Aided DFRC Systems (2021, background): “RIS, also called intelligent reflecting surface (IRS) [7] or large intelligent surface (LIS) [8], is a kind of meta-surface consisting of an array of passive reflecting elements, each of which can adjust the phase-shift, amplitude, frequency and polarization of the the incident signals.”
Communication Through a Large Reflecting Surface With Phase Errors (2019, background): “Ideally, given the phases arg(Hi1) and arg(Hi2), the phase φi is set so as to cancel the overall phase shift arg(Hi1) + arg(Hi2), which maximizes the SNR at the receiver [9].”
Reconfigurable Intelligent Surfaces: A signal processing perspective with wireless applications (2021, unknown): “It then follows that | ∑N n=1 √ αnβnγ|(2) = N2αβγ, thus the SNR grows quadratically with the number of RIS elements [24], [26].”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (2020, background): “In [116], the author introduces a general mathematical framework for the calculation of the symbol error probability of network scenarios in which an RIS is used as a reflector and as a transmitter.”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead (2020, background): “In [116], the author introduces a general mathematical framework for the calculation of the symbol error probability of network scenarios in which an RIS is used as a reflector and as a transmitter.”
Reconfigurable Intelligent Surface-Based Index Modulation: A New Beyond MIMO Paradigm for 6G (2019, unknown): “Finally, we provided a mathematical framework in [21] for the calculation of average symbol error probability (SEP) of RIS-assisted systems.”
MIMO Transmission Through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation (2019, methodology): “Moreover, a mathematical framework by using probabilistic tools was provided in [29] and [30] to evaluate the theoretical symbol error probability (SEP) of an RIS-based transmitter.”