JOURNAL ARTICLE

Power allocation and relay selection strategies for SNR maximization in energy harvesting cooperative wireless networks

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.

Keywords:
Relay Maximization Computer science Wireless Mathematical optimization Selection (genetic algorithm) Energy (signal processing) Energy harvesting Signal-to-noise ratio (imaging) Power (physics) Convex optimization Maximum power transfer theorem Optimization problem Efficient energy use Wireless power transfer Electronic engineering Regular polygon Telecommunications Algorithm Electrical engineering Engineering Mathematics Artificial intelligence

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14
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0.60
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Citation History

Topics

Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Full-Duplex Wireless Communications
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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