A Lightweight Integrated Narrowband Interference Detection and Suppression Scheme for OTFS

Yuchen Wu*, Zhenni Pan, Shigeru Shimamoto

*Corresponding author for this work

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


Orthogonal Time Frequency Space (OTFS) has been proven to have strong robustness to Doppler shifts and is regarded as a potential candidate for Orthogonal Frequency Division Multiplexing (OFDM) in the next generation wireless communication. However, narrowband interference (NBI) may become a headache for OTFS-based wireless systems. In OTFS, NBI will be spread over the whole delay-Doppler (DD) domain, and thus cause serious interference. Such interference is very dangerous in OTFS-based high-mobility communication for it will let the fast-moving user equipment (UE) in danger of losing control. Previous work infers OTFS to have natural robustness to NBI. In this work, we conduct further analysis and come to the conclusion that such robustness is only capable when NBI is weak, but when NBI gets stronger, OTFS exhibits vulnerability to it. Then we propose an NBI suppression scheme for OTFS to detect and eliminate NBI with a low computation load. Simulation results prove our analysis and indicate the proposed scheme can prevent serious interference resulting from NBI to some extent.

Original languageEnglish
Title of host publication2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350311143
Publication statusPublished - 2023
Externally publishedYes
Event97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italy
Duration: 2023 Jun 202023 Jun 23

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference97th IEEE Vehicular Technology Conference, VTC 2023-Spring


  • Beyond 5G
  • interference cancellation
  • narrowband interference
  • OTFS
  • wireless communication

ASJC Scopus subject areas

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


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