D2D-aided Optimal Utilization of Renewable Energies for Green Powered Base Stations

Farzad H. Panahi, Sogol Moshirvaziri, Ali Momene, Fereidoun H. Panahi, Tomoaki Ohtsuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


In this paper, due to the unlimited growth of service demands and high load traffic, a green wireless communication system has been considered with the aim of decreasing energy consumption of heterogeneous networks (HetNets). This system provides a proportion of required energy of Base Stations (BSs) by employing some renewable power suppliers (RPSs), while user equipments (UEs) especially benefit from short device-to-device (D2D) links as a promising technique to design energy-efficient HetNets. Indeed, we attempt to focus on efficient interaction between the RPS's random green power generations and the BS's dynamic of energy consumption via minimization of an energy-based cost function, considering the D2D impacts on efficient utilization of energy and bandwidth. Simulation results validate that the proposed framework provides significant improvements in electrical grid power-consumption and total energy efficiency (EE) of the network.

Original languageEnglish
Title of host publicationProceedings - 2018 Smart Grid Conference, SGC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728111384
Publication statusPublished - 2018 Nov
Event2018 Smart Grid Conference, SGC 2018 - Sanandaj, Iran, Islamic Republic of
Duration: 2018 Nov 282018 Nov 29

Publication series

NameProceedings - 2018 Smart Grid Conference, SGC 2018


Conference2018 Smart Grid Conference, SGC 2018
Country/TerritoryIran, Islamic Republic of


  • Device-to-device communication
  • Energy efficiency
  • Green wireless communications
  • Heterogeneous network
  • Renewable power source

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization


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