Abstract

This paper studies power allocation and relay selection strategies in energy harvesting cooperative wireless networks for end-to-end signal-to-noise ratio (SNR) maximization. Energy cooperation via wireless energy transfer is also considered to efficiently utilize harvested energy. Particularly, different optimal strategies are formulated as optimization problems, which are non-convex. Intelligent transformations are applied to transform non-convex problems into convex ones, and polynomial-time solution procedures are proposed. Simulation results illustrate that power allocation strategies achieve higher end-to-end SNR than relay selection ones. Finally, energy cooperation is shown to be effective in improving the end-to-end SNR.

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