Abstract
In this paper, we consider a wireless-powered network with co-channel interference where the transmitters control their transmit power and receivers harvest wireless energy using a time switching policy. Considering the interference channels among multiple nodes, we jointly optimize the transmit power and energy harvesting time to maximize the energy efficiency of the network. To solve this non-convex optimization problem, we first design an iterative algorithm based on a typical optimization technique, and then, propose a learning algorithm based on a neural network with a proper loss function. Simulation results show that the proposed learning algorithm can achieve a near-optimal energy efficiency with reducing the computational complexity, compared to an iterative algorithm with a suboptimal performance.
Original language | English |
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Article number | 8988212 |
Pages (from-to) | 3500-3504 |
Number of pages | 5 |
Journal | IEEE Transactions on Vehicular Technology |
Volume | 69 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2020 |
Keywords
- energy efficiency
- energy harvesting
- Neural network
- optimization
- time switching