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Energy-Efficient SWIPT-Empowered D2D Mode Selection.

Jun Huang1, Jingjing Cui2, Cong-Cong Xing3

  • 1School of Commu. and Info. Eng. and the School of Computer Science, Chongqing University of Posts and Telecom, Chongqing, 400065 China.

IEEE Transactions on Vehicular Technology
|October 16, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces energy-efficient mode selection for Device-to-Device (D2D) communications using simultaneous wireless information and power transfer (SWIPT). The developed mechanism optimizes D2D communication modes for enhanced energy efficiency, especially in dense networks.

Keywords:
energy efficiencymode selectionpower splittingsimultaneous wireless information and power transfertime switching

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Area of Science:

  • Wireless Communications
  • Network Optimization
  • Energy Harvesting

Background:

  • Device-to-Device (D2D) communication faces interference challenges.
  • Existing D2D mode selection methods overlook device energy depletion.
  • Simultaneous Wireless Information and Power Transfer (SWIPT) offers a potential solution.

Purpose of the Study:

  • To investigate SWIPT-empowered mode selection for energy-efficient D2D communication.
  • To formulate system energy efficiency considering harvested energy and capacity.
  • To design an energy-efficient mode selection mechanism for D2D networks.

Main Methods:

  • Stochastic geometry is employed for network analysis.
  • Closed-form expressions for ergodic energy harvested and capacity are derived.
  • SWIPT architectures (time switching and power splitting) are analyzed.

Main Results:

  • The proposed mechanism selects optimal D2D communication modes for improved energy efficiency.
  • Performance is particularly enhanced in ultra-dense cellular networks.
  • The approach outperforms existing state-of-the-art mode selection methods.

Conclusions:

  • SWIPT-empowered mode selection significantly boosts energy efficiency in D2D communications.
  • The developed mechanism provides a practical solution for energy-constrained D2D networks.
  • This work offers valuable insights for future wireless network design.