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Bivariate probabilistic constrained programming for interference exploitation in the cognitive radio

Law, KL; Masouros, C; Pesavento, M; (2017) Bivariate probabilistic constrained programming for interference exploitation in the cognitive radio. In: Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on. (pp. pp. 3390-3394). IEEE: New Orleans, LA, USA. Green open access

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Abstract

In this paper, we study a constructive interference based cognitive radio beamforming optimization problem under perfect channel state information at the transmitter and the knowledge of data information. The beamformers are designed to minimize the worst secondary user's symbol error probability under constraints on the instantaneous total transmit power, and the power of the instantaneous interference in the primary link. The problem is formulated as a bivariate probabilistic constrained programming problem and can be solved using the barrier method. Our simulations indicate that the proposed technique offers a significantly improved performance over the conventional technique, while guaranteeing the quality of service (QoS) of primary users on an instantaneous basis, in contrast to the average QoS guarantees of conventional beamformers.

Type: Proceedings paper
Title: Bivariate probabilistic constrained programming for interference exploitation in the cognitive radio
Event: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ISBN-13: 9781509041176
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICASSP.2017.7952785
Publisher version: https://doi.org/10.1109/ICASSP.2017.7952785
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Downlink beamforming, robust design, symbol error probability, convex optimization, constructive interference.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1567693
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