Abstract
In this paper, we investigate the energy efficiency maximization (EEM) problem for underlay cognitive multiuser two-way relay networks, by jointly optimizing the power allocation of secondary users and the beamforming matrix of the cognitive relay. The EEM problem is highly non-convex and thus the global optimum is intractable. We first show that the EEM problem can be equivalently transformed to a difference of convex program. Then an efficient iterative algorithm based on the constrained concave convex procedure is proposed to obtain a local optimum of the EEM problem. Simulation results are presented to demonstrate that our proposed solution performs much better than existing schemes even when the iterative number is very small.
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Notes
We adopt the assumption that the interference from the PU to SU is neglected as [5–7]. In IEEE 802:22 standard, the secondary wireless regional area network (WRAN) is located far away from the primary transmitter and hence the interference from the primary transmitter can be neglected at the secondary receiver.
An optimization problem called DC program if its objective and/or constraints can be written as DC functions [20].
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Acknowledgments
This work was supported in part by the National Natural Science Foundation of China under Grants 61472458 and 61173148, in part by the Guangdong Natural Science Foundation under Grants 2014A030311032 and 2014A030310374, and in part by the Fundamental Research Funds for the Central Universities under Grant 15lgpy15.
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Li, Q., Liu, F., Zhou, X. et al. Energy Efficiency for Underlay Cognitive Multiuser Two-Way Relay Networks. Wireless Pers Commun 86, 1541–1555 (2016). https://doi.org/10.1007/s11277-015-3005-y
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DOI: https://doi.org/10.1007/s11277-015-3005-y