End-to-End Learning-based Two-Way AF Relay Networks with I/Q Imbalance

Ankit Gupta, Mathini Sellathurai

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

Abstract

In this work, we design an end-to-end (E2E) learning-based two-way amplify-and-forward (TWAF) relay network in the presence of I/Q imbalance (IQI) by maximizing the generalized mutual information between the input-output bits. The proposed system employs neural network (NN)-based terminal nodes impacted by the IQI and a TWAF relay node that only retransmits the amplified received signals (no additional processing at the relay nodes). Also, we propose four specific lambda layers at the NN decoders to pre-process the received signals. In particular, we propose to design coded-modulation and decoded-demodulation for the NN encoders and NN decoders of both the terminal nodes jointly, to tackle the interference of simultaneously received signals at the TWAF relay node and remove the deteriorating impacts of IQI at the terminal nodes. The simulation results show that the proposed E2E learning framework outperforms the maximum likelihood detector with no IQI by at least 3 dB.

Original languageEnglish
Title of host publication22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2021)
PublisherIEEE
Pages111-115
Number of pages5
ISBN (Electronic)9781665428514
DOIs
Publication statusPublished - 15 Nov 2021
Event22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications 2021 - Lucca, Italy
Duration: 27 Sep 202130 Sep 2021

Conference

Conference22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications 2021
Abbreviated titleSPAWC 2021
Country/TerritoryItaly
CityLucca
Period27/09/2130/09/21

Keywords

  • amplify-and-forward
  • and I/Q imbalance
  • Autoencoder
  • end-to-end learning
  • relay networks
  • two-way

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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