A Narrowband Interference Cancellation Approach for Index Modulated OFDM Systems Using Compressive Sensing

Samir N. Al-Ghadhban, Mohammad U. Yaqub

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

Abstract

This paper assesses the efficacy of Index Modulated (IM) schemes within Orthogonal Frequency Division Multiplexing (OFDM) systems under the influence of Narrowband Interference (NBI). Moreover, a novel mitigation strategy leveraging compressive sensing (CS) is introduced for OFDM-IM systems. The findings demonstrate that in contrast to conventional OFDM, OFDM-IM displays notable resilience against NBI up to a signal-to-narrowband interference ratio (SNIR) of -15dB. The expansion of NBI bandwidth exhibits a limited impact on performance degradation, whereas heightened interference power exerts a more pronounced effect. Broadly, in the absence of mitigation measures, error performance deteriorates and eventually stabilizes even at elevated SNR levels. Notably, under conditions of substantial interference power, the CS-driven NBI cancellation technique enhances the performance of OFDM-IM schemes, resulting in a substantial reduction of the error floor.

Original languageEnglish
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6687-6692
Number of pages6
ISBN (Electronic)9798350310900
DOIs
StatePublished - 2023
Event2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia
Duration: 4 Dec 20238 Dec 2023

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period4/12/238/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Compressive Sensing
  • Index Modulation
  • NBI
  • Narrow-band Interference Cancellation
  • OFDM
  • OFDM-IM

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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