A new GFDM receiver with tabu search

Jinkyo Jeong, Insik Jung, Jintae Kim, Daesik Hong

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

2 Citations (Scopus)


This paper proposes a new scheme to mitigate the effects of interference in generalized frequency division multiplexing (GFDM) systems. We take advantage of the tabu search (TS) process that was originally designed to find approximate solutions for combinatorial optimization problems. We find the initial solution through the application of conventional GFDM receivers such as matched filter and zero-forcing receivers. Starting from the initial solution, we apply the TS algorithm to find a new solution that has lower cost in terms of maximum likelihood costs. In this way, the proposed system can alleviate the interference inherent in GFDM systems. Simulation results show that the proposed system outperforms conventional GFDM systems and orthogonal frequency division multiplexing (OFDM) systems in a multi-path channel regardless of the roll-off factor of the prototype filter.

Original languageEnglish
Title of host publication2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728112176
Publication statusPublished - 2019 Apr
Event89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia
Duration: 2019 Apr 282019 May 1

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference89th IEEE Vehicular Technology Conference, VTC Spring 2019
CityKuala Lumpur

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2018R1A2A1A05021029) and by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. 2016-0-00181, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment)

Publisher Copyright:
© 2019 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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