6533b7d6fe1ef96bd12670c9

RESEARCH PRODUCT

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

Ala GouissemAla GouissemNaofal Al-dhahirSebti FoufouRidha Hamila

subject

EngineeringOrthogonal frequency-division multiplexingCognitive radioRadio systems02 engineering and technologyInterference (wave propagation)SubcarrierBase station0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringElectronic engineeringSignal reconstructionRadio interferenceInterference mitigationOrthogonal frequency division multiplexingbusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSCo-channel interference020302 automobile design & engineering020206 networking & telecommunicationsCompressive sensingCognitive networkWave interferenceRadioNarrow band interferenceCognitive radioChannel state informationSecondary recoveryChannel state informationbusinessCognitive networkSparsity

description

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. 2016 IEEE. Scopus

10.1109/vtcfall.2016.7881229https://hdl.handle.net/10576/22398