@inproceedings{2c27af3bc0c144708e642cfb7d8db920,
title = "Sparsity-aware narrowband interference mitigation and subcarriers selection in OFDM-based cognitive radio networks",
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.",
keywords = "Cognitive network, Compressive sensing, Interference mitigation, Narrow-band interference, OFDM, Sparsity",
author = "A. Gouissem and R. Hamila and N. Al-Dhahir and S. Foufou",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 84th IEEE Vehicular Technology Conference, VTC Fall 2016 ; Conference date: 18-09-2016 Through 21-09-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/VTCFall.2016.7881229",
language = "English (US)",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings",
}