Compressed sensing based joint-compensation of power amplifier's distortions in OFDMA cognitive radio systems

Ali, Anum Z.; Hammi, Oualid; Al-Naffouri, Tareq Y.

Compressed sensing based joint-compensation of power amplifier's distortions in OFDMA cognitive radio systems

Type

Article

Authors

Ali, Anum Z.
Hammi, Oualid
Al-Naffouri, Tareq Y.

KAUST Department

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program

Date

2013-12

Abstract

Linearization of user equipment power amplifiers driven by orthogonal frequency division multiplexing signals is addressed in this paper. Particular attention is paid to the power efficient operation of an orthogonal frequency division multiple access cognitive radio system and realization of such a system using compressed sensing. Specifically, precompensated overdriven amplifiers are employed at the mobile terminal. Over-driven amplifiers result in in-band distortions and out of band interference. Out of band interference mostly occupies the spectrum of inactive users, whereas the in-band distortions are mitigated using compressed sensing at the receiver. It is also shown that the performance of the proposed scheme can be further enhanced using multiple measurements of the distortion signal in single-input multi-output systems. Numerical results verify the ability of the proposed setup to improve error vector magnitude, bit error rate, outage capacity and mean squared error. © 2011 IEEE.

Citation

Ali, A., Hammi, O., & Al-Naffouri, T. Y. (2013). Compressed Sensing Based Joint-Compensation of Power Amplifier’s Distortions in OFDMA Cognitive Radio Systems. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 3(4), 508–520. doi:10.1109/jetcas.2013.2284614

Acknowledgements

This work was supported by King Abdulaziz City for Science and Technology through the Science and Technology Unit at King Fahd University of Petroleum and Minerals, through Project 11-ELE1651-04, as part of the National Science, Technology and Innovation Plan.