Learning-Based Joint Optimization of Transmit Power and Harvesting Time in Wireless-Powered Networks with Co-Channel Interference

Kisong Lee, Jung Ryun Lee, Hyun Ho Choi

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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 languageEnglish
Article number8988212
Pages (from-to)3500-3504
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Volume69
Issue number3
DOIs
StatePublished - Mar 2020

Keywords

  • energy efficiency
  • energy harvesting
  • Neural network
  • optimization
  • time switching

Fingerprint

Dive into the research topics of 'Learning-Based Joint Optimization of Transmit Power and Harvesting Time in Wireless-Powered Networks with Co-Channel Interference'. Together they form a unique fingerprint.

Cite this