Al-Tous, H.Barhumi, I.Kalbat, A.Al-Dhahir, Naofal2019-06-282019-06-282018-04-151525-3511https://hdl.handle.net/10735.1/6631Full text access from Treasures at UT Dallas is restricted to current UTD affiliates.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.en©2018 IEEECompressed sensing (Telecommunication)Computational complexityProgramming (Mathematics)Orthogonal frequency division multiplexingWireless communication systemsInterior-point methodsRadio frequency modulation, Narrow-bandarticleAl-Tous, H., I. Barhumi, A. Kalbat, and N. Al-Dhahir. 2018. "ADMM for joint data and off-grid NBI recovery in OFDM systems." IEEE Wireless Communications and Networking Conference (WCNC) 2018-April 15-18, doi:10.1109/WCNC.2018.83770842018