Energy efficiency and SINR maximization beamformers for cognitive radio utilizing sensing information

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 and signal to interference plus noise ratio (SINR) metrics. Our design considers an underlaying communication using adaptive beamforming schemes combined with the sensing information to achieve an optimal energy efficient system. The proposed schemes maximize the energy efficiency and SINR metrics subject to cognitive radio and quality of service constraints. Since the optimization of energy efficiency problem is not a convex problem, we transform it into a standard semi-definite programming (SDP) form to guarantee a global optimal solution. Analytical solution is provided for one scheme, while the other 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.

Citation
Alabbasi, A., Rezki, Z., & Shihada, B. (2014). Energy efficiency and SINR maximization beamformers for cognitive radio utilizing sensing information. 2014 IEEE International Symposium on Information Theory. doi:10.1109/isit.2014.6875061

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Journal
2014 IEEE International Symposium on Information Theory

Conference/Event Name
2014 IEEE International Symposium on Information Theory, ISIT 2014

DOI
10.1109/ISIT.2014.6875061

Additional Links
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6875061

Permanent link to this record