Energy Efficiency and SINR Maximization Beamformers for Spectrum Sharing With Sensing Information

AbdulRahman Alabbasi, Zouheir Rezki, Basem Shihada

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


In this paper, we consider a cognitive radio multi-input-multi-output environment, in which we adapt our beamformer to maximize both energy efficiency (EE) and signal-to-interference-plus-noise ratio (SINR) metrics. Our design considers an underlaying communication using adaptive beamforming schemes combined with sensing information to achieve optimal energy-efficient systems. The proposed schemes maximize EE and SINR metrics subject to cognitive radio and quality-of-service constraints. The analysis of the proposed schemes is classified into two categories based on knowledge of the secondary-transmitter-to-primary-receiver channel. Since the optimizations of EE and SINR problems are not convex problems, we transform them into a standard semidefinite programming (SDP) form to guarantee that the optimal solutions are global. An analytical solution is provided for one scheme, while the second scheme is left in a standard SDP form. Selected numerical results are used to quantify the impact of the sensing information on the proposed schemes compared to the benchmark ones.
Original languageEnglish (US)
Pages (from-to)5095-5106
Number of pages12
JournalIEEE Transactions on Wireless Communications
Issue number9
StatePublished - Sep 2014

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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