Practical GFDM-based Linear Receivers

Ahmad Nimr, Marwa Chafii, Gerhard Fettweis

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

Abstract

The conventional receiver designs of generalized frequency division multiplexing (GFDM) consider a large scale multiple-input multiple-output (MIMO) system with a block circular matrix of combined channel and modulation. Exploiting this structure, several approaches have been proposed for low complexity joint linear minimum mean squared error (LMMSE) receiver. However, the joint design is complicated and inappropriate for hardware implementation. In this paper, we define the concept of GFDM-based linear receivers, which first performs channel equalization (CEq) and afterwards the equalized signal is processed with GFDM demodulator. We show that the optimal joint LMMSE receiver is equivalent to a GFDM-based one, that applies LMMSE-CEq and zero-forcing demodulation. For orthogonal modulation, the optimal LMMSE receiver has an implementation-friendly structure. For the non-orthogonal case, we propose two practical designs that approach the performance of the joint LMMSE. Finally, we analytically prove that GFDMbased receivers achieve equal signal-to-interference-plus-noise ratio per subsymbols within the same subcarrier.

Original languageEnglish (US)
Title of host publicationSCC 2019 - 12th International ITG Conference on Systems, Communications and Coding
PublisherVDE Verlag GmbH
Pages227-232
Number of pages6
ISBN (Electronic)9783800748624
DOIs
StatePublished - 2019
Event12th International ITG Conference on Systems, Communications and Coding, SCC 2019 - Rostock, Germany
Duration: Feb 11 2019Feb 14 2019

Publication series

NameSCC 2019 - 12th International ITG Conference on Systems, Communications and Coding

Conference

Conference12th International ITG Conference on Systems, Communications and Coding, SCC 2019
Country/TerritoryGermany
CityRostock
Period2/11/192/14/19

Keywords

  • Equalization
  • GFDM
  • LMMSE
  • Low-complexity

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Software

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