ADMM for joint data and off-grid NBI recovery in OFDM systems

Hanan Al-Tous, Imad Barhumi, Abdulrahman Kalbat, Naofal Al-Dhahir

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

3 Citations (Scopus)

Abstract

Joint data and off-grid narrow-band interference (NBI) recovery is investigated in orthogonal-frequency-division-multiplexing (OFDM) systems using compressive-sensing (CS) framework. The joint recovery problem is formulated as a convex optimization problem of three weighted norms. A reduced computational complexity and scalable algorithm is proposed to solve the recovery problem based on the alternating-direction-method-of-multipliers (ADMM). Simulation results, show that the average-run-time of solving the joint recovery problem using the proposed ADMM algorithm is much less than the average-run-time of the interior point method.

Original languageEnglish
Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538617342
DOIs
Publication statusPublished - Jun 8 2018
Event2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
Duration: Apr 15 2018Apr 18 2018

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2018-April
ISSN (Print)1525-3511

Other

Other2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/TerritorySpain
CityBarcelona
Period4/15/184/18/18

Keywords

  • ADMM
  • Compressive sensing
  • Frequency-grid-mismatch
  • NBI
  • OFDM

ASJC Scopus subject areas

  • General Engineering

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