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Joint power and duty-cycle design using alternating optimization algorithm under energy harvesting architectures

  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Shenzhen Institute of Artificial Intelligence and Robotics for Society

Research output: Contribution to journalArticlepeer-review

Abstract

In the emerging sixth generation (6G) communication network, energy harvesting (EH) is a promising technology to achieve the unlimited energy supply and hence makes the wireless communication systems self-sustainable in terms of energy. However, in practice, the efficiency of energy harvesting is often low due to the limited device capability. In this paper, we formulate three types of different EH architectures, i.e., the harvest-use architecture, the harvest-store-use architecture, and the harvest-use-store architecture from the perspective of energy storage efficiency. We propose resource allocation schemes to jointly design the sensor power and duty-cycle via an alternating optimization algorithm under the above EH architectures, in both simultaneous and non-simultaneous harvesting and utilization models, aiming at achieving a higher throughput and energy efficiency. Non-ideal circuit power is also considered. Numerical results show that our proposed schemes under EH architectures outperform the existing classic continuous transmission schemes.

Original languageEnglish
Article number9312797
Pages (from-to)139-155
Number of pages17
JournalChina Communications
Volume17
Issue number12
DOIs
StatePublished - Dec 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • alternating optimization
  • energy harvesting
  • resource allocation
  • self-sustainable

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