Noncoherent MIMO codes construction using autoencoders

Mohamed A. Elmossallamy, Zhu Han, Miao Pan, Riku Jäntti, Karim G. Seddik, Geoffrey Ye Li

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

In this paper, we examine the use of autoencoders as an optimization tool for the construction of noncoherent space-time MIMO codes. In particular, we consider the quasi-static block fading channel, where the channel state information is not available at either the transmitter or the receiver, and changes independently between transmissions. Different from traditional constructions which aim to maximize an approximation of the minimum pairwise distance of the constellation, we use the autoencoder to directly target minimizing the probability of error. We show that this different optimization goal leads to constellations with more favorable pairwise distancesâ™ distribution and better error performance at low to medium signal to noise ratios where the minimum distance is not the limiting factor. Finally, we present simulation results showing that the constructed codes outperform traditional Grassmannian codes up to a signal-to-noise ratio of 20 dB using the traditional generalized likelihood ratio test detector.

Original languageEnglish
Title of host publicationIEEE Global Communications Conference, GLOBECOM - Proceedings
PublisherIEEE
ISBN (Electronic)9781728109626
DOIs
Publication statusPublished - 2019
MoE publication typeA4 Conference publication
EventIEEE Global Communications Conference - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Publication series

NameIEEE Global Communications Conference
PublisherIEEE
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

ConferenceIEEE Global Communications Conference
Abbreviated titleGLOBECOM
Country/TerritoryUnited States
CityWaikoloa
Period09/12/201913/12/2019

Keywords

  • Autoencoders
  • Multiple-Input Multiple-Output (MIMO)
  • Noncoherent communications
  • Space-time codes

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