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in Computational Science & Engineering
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Energy Efficiency and SINR Maximization Beamformers for Spectrum Sharing With Sensing Information
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Energy Efficiency and SINR Maximization Beamformers for Spectrum Sharing With Sensing Information
Bibliography:
Bibliography
A. Alabbasi , Z. Rezki, B. Shihada,
Energy Efficiency and SINR Maximization Beamformers for Spectrum Sharing With Sensing Information
, IEEE Transactions on Wirel ess Communications, vol. 13, no. 9, pp. 5095-5106, September 2014.
Authors:
A. Alabbasi , Z. Rezki, B. Shihada
Keywords:
Cognitive radio, MIMO, beamforming, energy efficiency, resource allocation, spectrum sensing, spectrum sharing
Year:
2014
Abstract:
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.
ISSN:
1536-1276
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6815686&queryText%3DEnergy+Efficiency+and++SINR++Maximization+Beamformers+for+Spectrum+Sharing+with+Sensing+Information
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