Abstract
In this article, we consider the joint optimization of transmit power and power splitting ratio to maximize the energy efficiency in a simultaneous wireless information and power transfer based interference channel, in which receivers use a power splitting policy to harvest energy from a wireless signal. We propose an optimization-based iterative algorithm (O-IA) from well-known optimization techniques as a comparative scheme, and also devise a neural network based learning algorithm (NN-LA) to deal with nonconvexity caused by cochannel interference among multiple nodes. Through simulations, we provide a comparative study of the two approaches in terms of energy efficiency and time complexity. In particular, we find that NN-LA achieves a near-optimal energy efficiency, whereas its time complexity is significantly reduced, in comparison with O-IA.
Original language | English |
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Article number | 9031335 |
Pages (from-to) | 4750-4753 |
Number of pages | 4 |
Journal | IEEE Systems Journal |
Volume | 14 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2020 |
Keywords
- Energy efficiency
- energy harvesting
- interference channel
- neural network (NN)
- power splitting