Autoencoder-based Communications with Reconfigurable Intelligent Surfaces

Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel approach for the joint design of a reconfigurable intelligent surface (RIS) and a transmitter-receiver pair that are trained together as a set of deep neural networks (DNNs) to optimize the end-To-end communication performance at the receiver. The RIS is a software-defined array of unit cells that can be controlled in terms of the scattering and reflection profiles to focus the incoming signals from the transmitter to the receiver. The benefit of the RIS is to improve the coverage and spectral efficiency for wireless communications by overcoming physical obstructions of the line-of-sight (LoS) links. The selection process of the RIS beam codeword (out of a pre-defined codebook) is formulated as a DNN, while the operations of the transmitter-receiver pair are modeled as two DNNs, one for the encoder (at the transmitter) and the other one for the decoder (at the receiver) of an autoencoder, by accounting for channel effects including those induced by the RIS in between. The underlying DNNs are jointly trained to minimize the symbol error rate at the receiver. Numerical results show that the proposed design achieves major gains in error performance with respect to various baseline schemes, where no RIS is used or the selection of the RIS beam is separated from the design of the transmitter-receiver pair.

Original languageEnglish (US)
Title of host publication2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages242-247
Number of pages6
ISBN (Electronic)9781665413398
DOIs
StatePublished - 2021
Event2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021 - Virtual, Online, United States
Duration: Dec 13 2021Dec 15 2021

Publication series

Name2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021

Conference

Conference2021 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2021
Country/TerritoryUnited States
CityVirtual, Online
Period12/13/2112/15/21

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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