Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks

A. Gouissem, R. Hamila, N. Al-Dhahir, Sebti Foufou

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

Abstract

In this paper, the performance of an orthogonal frequency division multiplexing overlay cognitive radio network with subcarrier selection schemes is investigated. We propose three subcarrier selection techniques that reduce the level of interference at the primary base station based on collected channel state information from the different network nodes. Approximated outage probability expressions are also derived and verified by simulations for the different studied techniques. In addition, we propose and investigate a new approach for asynchronous narrowband interference (NBI) estimation and mitigation in cognitive radio networks. The proposed approach does not require prior knowledge of the NBI characteristics and allows the primary user to exploit the sparsity of the secondary users interference to recover it based on sparse signal recovery theory and approach the interference-free limit over practical ranges of NBI power levels.

Original languageEnglish (US)
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
StatePublished - Mar 17 2017
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: Sep 18 2016Sep 21 2016

Other

Other84th IEEE Vehicular Technology Conference, VTC Fall 2016
CountryCanada
CityMontreal
Period9/18/169/21/16

Fingerprint

Cognitive Radio Networks
Cognitive radio
Orthogonal Frequency Division multiplexing (OFDM)
Sparsity
Orthogonal frequency division multiplexing
Interference
Channel state information
Outages
Base stations
Recovery
Outage Probability
Channel State Information
Overlay
Prior Knowledge
Vertex of a graph
Range of data
Simulation

Keywords

  • Cognitive network
  • Compressive sensing
  • Interference mitigation
  • Narrow-band interference
  • OFDM
  • Sparsity

ASJC Scopus subject areas

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

Cite this

Gouissem, A., Hamila, R., Al-Dhahir, N., & Foufou, S. (2017). Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks. In 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings [7881229] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2016.7881229

Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks. / Gouissem, A.; Hamila, R.; Al-Dhahir, N.; Foufou, Sebti.

2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7881229.

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

Gouissem, A, Hamila, R, Al-Dhahir, N & Foufou, S 2017, Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks. in 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings., 7881229, Institute of Electrical and Electronics Engineers Inc., 84th IEEE Vehicular Technology Conference, VTC Fall 2016, Montreal, Canada, 9/18/16. https://doi.org/10.1109/VTCFall.2016.7881229
Gouissem A, Hamila R, Al-Dhahir N, Foufou S. Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks. In 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7881229 https://doi.org/10.1109/VTCFall.2016.7881229
Gouissem, A. ; Hamila, R. ; Al-Dhahir, N. ; Foufou, Sebti. / Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks. 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017.
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