Learning-Based Resource Management in Device-to-Device Communications with Energy Harvesting Requirements

Kisong Lee, Jun Pyo Hong, Hyowoon Seo, Wan Choi

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

In this paper, we propose a resource management method based on deep learning, which controls both the transmit power and the power splitting ratio to maximize the sum rate with low computational complexity in D2D networks with energy harvesting requirements. The introduction of the energy harvesting requirements to D2D networks makes it hard to design an effective resource management solution since the treatment of interference signals should be completely different from the conventional resource management focusing only on the rate maximization. To deal with drawbacks of the conventional deep learning-based approach, we propose a new training algorithm suitable for our resource management problem. Numerical simulations show that the proposed learning-based method outperforms the benchmark methods, which are derived from some relevant works, in most situations and achieves performances comparable to an exhaustive search in terms of the sum rate and energy outage probability. Although the conventional optimization-based method is derived to achieve the asymptotic optimal performance for a large network, the proposed deep learning method is shown to achieve almost the same performance with much lower computational complexity. Furthermore, simulation results offer new insights to the impact of the energy harvesting requirements on the behaviour of the optimal resource management.

Original languageEnglish
Article number8869795
Pages (from-to)402-413
Number of pages12
JournalIEEE Transactions on Communications
Volume68
Issue number1
DOIs
StatePublished - Jan 2020

Keywords

  • D2D communications
  • Deep learning
  • energy harvesting
  • interference channel
  • power splitting

Fingerprint

Dive into the research topics of 'Learning-Based Resource Management in Device-to-Device Communications with Energy Harvesting Requirements'. Together they form a unique fingerprint.

Cite this